Interviewing a Data Scientist

Buzzword dictionary to deal with annoying clients:

AI—regression
Big data—data
Blockchain—database
Algorithm—automated decision-making
Cloud—Internet
Crypto—cryptocurrency
Dark web—Onion service
Data science—statistics done by nonstatisticians
Disruption—competition
Viral—popular
IoT—malware-ready device

Was originally hired for 3 months.

Just finished the project 2 weeks ago, after 1.5 years.

I fucking hate data science now.

"I am still cleaning the data"
- A data scientist's equivalent of 'It's compiling'

Recipe for a Great Programmer:

Ingredients:
-Books for a computer science curriculum from a top university
-Computer
-Headphones
-Internet
-Stress ball
-Pillow
-Lighter fluid
-Food

Directions:

1. Cover computer science books with lighter fluid
2. Light books on fire
3. Use flames to cook an energy-rich meal for the thousands of hours ahead
4. Pick an IDE
5. Choose a project beyond current capabilities. Good ways to push boundaries:
- Unfamiliar domain (e.g. large scale data processing, UI programming, high performance computing, games)
- Exotic programming language
- Larger in scope than any project before
6. Shut up about your IDE
7. Attempt to build
8. Stop procrastinating on Hacker News
9. Re-attempt to build
10. Squeeze stress ball and scream into pillow as necessary to keep sanity
When stuck:
- Paste stack traces into Google
- Find appropriate mailing list to get guidance
- Realize that real learning happens when you are stuck, uncomfortable, and/or frustrated
- Seek out books, classes, or other resources AFTER you have a good understanding of your deficiencies
11. Repeat #4 to #10 for at least 10 years
12. Results guaranteed! (to the same extent static types guarantee bug-free programs)

source: nathanmarz.com

Lads, I will be real with you: some of you show absolute contempt to the actual academic study of the field.

In a previous rant from another ranter it was thrown up and about the question for finding a binary search implementation.

Asking a senior in the field of software engineering and computer science such question should be a simple answer, specifically depending on the type of job application in question. Specially if you are applying as a SENIOR.

I am tired of this strange self-learner mentality that those that have a degree or a deep grasp of these fundamental concepts are somewhat beneath you because you learned to push out a website using the New Boston tutorials on youtube. FOR every field THAT MATTERS a license or degree is hold in high regards.
"Oh I didn't go to school, shit is for suckers, but I learned how to chop people up and kinda fix it from some tutorials on youtube" <---- try that for a medical position.

"Nah it's cool, I can fix your breaks, learned how to do it by reading blogs on the internet" <--- maintenance shop

"Sure can write the controller processing code for that boing plane! Just got done with a low level tutorial on some websites! what can go wrong!"

(The same goes for military devices which in the past have actually killed mfkers in the U.S)

Just recently a series of people were sent to jail because of a bug in software. Industries NEED to make sure a mfker has aaaall of the bells and whistles needed for running and creating software.

During my masters degree, it fucking FASCINATED me how many mfkers were absolutely completely NEW to the concept of testing code, some of them with years in the field.

And I know what you are thinking "fuck you, I am fucking awesome" <--- I AM SURE YOU BLOODY WELL ARE but we live in a planet with billions of people and millions of them have fallen through the cracks into software related positions as well as complete degrees, the degree at LEAST has a SPECTACULAR barrier of entry during that intro to Algos and DS that a lot of bitches fail.

NOTE: NOT knowing the ABSTRACTIONS over the tools that we use WILL eventually bite you in the ASS because you do not fucking KNOW how these are implemented internally.

Why do you think compiler designers, kernel designers and embedded developers make the BANK they made? Because they don't know memory efficient ways of deploying a product with minimal overhead without proper data structures and algorithmic thinking? NOT EVERYTHING IS SHITTY WEB DEVELOPMENT

SO, if a mfker talks shit about a so called SENIOR for not knowing that the first mamase mamasa bloody simple as shit algorithm THROWN at you in the first 10 pages of an algo and ds book, then y'all should be offended at the mkfer saying that he is a SENIOR, because these SENIORS are the same mfkers that try to at one point in time teach other people.
These SENIORS are the same mfkers that left me a FUCKING HORRIBLE AND USELESS MESS OF SPAGHETTI CODE

Specially to most PHP developers (my main area) y'all would have been well motherfucking served in learning how not to forLoop the fuck out of tables consisting of over 50k interconnected records, WHAT THE FUCK

"LeaRniNG tHiS iS noT neeDed!!" yes IT fucking IS

being able to code a binary search (in that example) from scratch lets me know fucking EXACTLY how well your thought process is when facing a hard challenge, knowing the basemotherfucking case of a LinkedList will damn well make you understand WHAT is going on with your abstractions as to not fucking violate memory constraints, this-shit-is-important.

So, will your royal majesties at least for the sake of completeness look into a couple of very well made youtube or book tutorials concerning the topic?

You can code an entire website, fine as shit, you will get tested by my ass in terms of security and best practices, run these questions now, and it very motherfucking well be as efficient as I think it should be(I HIRE, NOT YOU, or your fucking blog posts concerning how much MY degree was not needed, oh and btw, MY degree is what made sure I was able to make SUCH decissions)

This will make a loooooooot of mfkers salty, don't worry, I will still accept you as an interview candidate, but if you think you are good enough without a degree, or better than me (has happened, told that to my face by a candidate) then get fucking ready to receive a question concerning: BASIC FUCKING COMPUTER SCIENCE TOPICS

* gays away into the night

I actually just wanted to say - what a great time it is to be a developer.

C# has stolen so many good features now that it's pretty awesome.
JavaScript and typescript are really fun to work with.
I really love angular.
Docker is great!

I can setup pipelines and deploy an angular app for free and really easily with github-pages.

I can use linux inside windows.

I can use cloud providers to do all sorts for really cheap.

I can plug my cable-free oculus quest VR headset into my laptop and build a game pretty easily with unity (thanks to all the great oculus helper prefabs).

I can use tesseract and data science technology inside my browser!!

And I can go to medium and udemy and learn all sorts of things.

Honestly...

Just saying.
I'm actually really loving being a developer right now.

And if I do have off day, I can rant on here!

Facebook: "Our facial recognition automatically tags people in pictures."

Tesla: "Our deep learning algorithm drives cars by itself."

Andrew Ng: "I predict patients' likelihood of dying with 99% accuracy."

Google: "You know one of our algorithms is going to pass the Turing test very soon."

Wall Street: "We use satellite images to predict stock prices based how filled car parks of specific stores are."

The remaining majority of data sciencists: "We overfit linear models."

A tool I built for my past company just got nominated for a European Data Science and AI award!!!

I'm over the moon that something I built is up for such an award. Be early next month before winners are announced. Oh and given I don't work there anymore, how I was told about it is a REALLY funny story .... I wasn't.

Saw a Linkedin post from my ex-manager congratulating the company and the org for great work done. He/They just forgot to mention the fact that me and another ex-employee did everything, left it practically finished and completely changed the direction of the project within the first month as their plans made no sense.

fuckers.

Professor essentially doing a dance to show data visualisation:
“Hey pay attention! I’m trading my dignity for your education”

Look what I found!
Even my L3 cache is bigger than this!

“Those were the days😂”

Presenting my research on fraud detection with Machine Learning

!rant
Yesterday i updated my LinkedIn title to Data scientist.
Today morning i got 3 phone calls for job offers.

Intelligence and ability cannot be measured by education.

I have a client who asked a Master in Computer Science to develop a small system, for querying product title and their code. The guy used python, vanilla js, and... Txt file for the "database". Then my client asked me to integrated this in... WordPress.

This was in 2016. And idiot as I'm, I agreed and adapted his code to use php and a database.

April this year, my client said they are still using the python system to add new products all this time, in parallel. And wanted to update the WordPress with the data.

- No problem! - I said. Just send me the SQL file.

So the Master in CS sent me a SQL coded in ANSI. I asked for the SQL again, but with a more appropriate encoding. He took 1 month to reply back, and said it would be better if I get rid of the database and just use the txt file for querying.

This is outrageous.

I really hate people who are educated but completely useless.

I had to open the desktop app to write this because I could never write a rant this long on the app.

This will be a well-informed rebuttal to the "arrays start at 1 in Lua" complaint. If you have ever said or thought that, I guarantee you will learn a lot from this rant and probably enjoy it quite a bit as well.

Just a tiny bit of background information on me: I have a very intimate understanding of Lua and its c API. I have used this language for years and love it dearly.

[START RANT]

"arrays start at 1 in Lua" is factually incorrect because Lua does not have arrays. From their documentation, section 11.1 ("Arrays"), "We implement arrays in Lua simply by indexing tables with integers."

From chapter 2 of the Lua docs, we know there are only 8 types of data in Lua: nil, boolean, number, string, userdata, function, thread, and table

The only unfamiliar thing here might be userdata. "A userdatum offers a raw memory area with no predefined operations in Lua" (section 26.1). Essentially, it's for the API to interact with Lua scripts. The point is, this isn't a fancy term for array.

The misinformation comes from the table type. Let's first explore, at a low level, what an array is. An array, in programming, is a collection of data items all in a line in memory (The OS may not actually put them in a line, but they act as if they are). In most syntaxes, you access an array element similar to:

array[index]

Let's look at c, so we have some solid reference. "array" would be the name of the array, but what it really does is keep track of the starting location in memory of the array. Memory in computers acts like a number. In a very basic sense, the first sector of your RAM is memory location (referred to as an address) 0. "array" would be, for example, address 543745. This is where your data starts. Arrays can only be made up of one type, this is so that each element in that array is EXACTLY the same size. So, this is how indexing an array works. If you know where your array starts, and you know how large each element is, you can find the 6th element by starting at the start of they array and adding 6 times the size of the data in that array.

Tables are incredibly different. The elements of a table are NOT in a line in memory; they're all over the place depending on when you created them (and a lot of other things). Therefore, an array-style index is useless, because you cannot apply the above formula. In the case of a table, you need to perform a lookup: search through all of the elements in the table to find the right one. In Lua, you can do:

a = {1, 5, 9};
a["hello_world"] = "whatever";

a is a table with the length of 4 (the 4th element is "hello_world" with value "whatever"), but a[4] is nil because even though there are 4 items in the table, it looks for something "named" 4, not the 4th element of the table.

This is the difference between indexing and lookups. But you may say,

"Algo! If I do this:

a = {"first", "second", "third"};
print(a[1]);

...then "first" appears in my console!"

Yes, that's correct, in terms of computer science. Lua, because it is a nice language, makes keys in tables optional by automatically giving them an integer value key. This starts at 1. Why? Lets look at that formula for arrays again:

Given array "arr", size of data type "sz", and index "i", find the desired element ("el"):

el = arr + (sz * i)

This NEEDS to start at 0 and not 1 because otherwise, "sz" would always be added to the start address of the array and the first element would ALWAYS be skipped. But in tables, this is not the case, because tables do not have a defined data type size, and this formula is never used. This is why actual arrays are incredibly performant no matter the size, and the larger a table gets, the slower it is.

That felt good to get off my chest. Yes, Lua could start the auto-key at 0, but that might confuse people into thinking tables are arrays... well, I guess there's no avoiding that either way.

Two years ago I moved to Dublin with my wife (we met on tour while we were both working in music) as visa laws in the UK didn’t allow me to support the visa of a Russian national on a freelance artists salary.

After we came to Dublin I was playing a lot to pay rent (major rental crisis here), I play(ed) Double Bass which is a physically intensive instrument and through overworking caused a long term injury to my forearm which prevents me playing.

Luckily my wife was able to start working in Community Operations for the big tech companies here (not an amazing job and I want her to be able to stop).

Anyway, I was a bit stuck with what step to take next as my entire career had been driven by the passion to master an art that I was very committed to. It gave me joy and meaning.

I was working as hard as I could with a clear vision but no clear path available to get there, then by chance the opportunity came to study a Higher Diploma qualification in Data Science/Analysis (I have some experience handling music licensing for tech startups and an MA with components in music analysis, which I spun into a narrative). Seemed like a ‘smart’ thing to do to do pick up a ‘respectable’ qualification, if I can’t play any more.

The programme had a strong programming element and I really enjoyed that part. The heavy statistics/algebra element was difficult but as my Python programming improved, I was able to write and utilise codebase to streamline the work, and I started to pull ahead of the class. I put in more and more time to programming and studied personally far beyond the requirements of the programme (scored some of the highest academic grades I’ve ever achieved). I picked up a confident level of Bash, SQL, Cypher (Neo4j), proficiency with libraries like pandas, scikit-learn as well as R things like ggplot. I’m almost at the end of the course now and I’m currently lecturing evening classes at the university as a paid professional, teaching Graph Database theory and implementation of Neo4j using Python. I’m co-writing a thesis on Machine Learning in The Creative Process (with faculty members) to be published by the institute. My confidence in programming grew and grew and with that platform to lift me, I pulled away from the class further and further.

I felt lost for a while, but I’ve found my new passion. I feel the drive to master the craft, the desire to create, to refine and to explore.

I’m going to write a Thesis with a strong focus on programmatic implementation and then try and take a programming related position and build from there. I’m excited to become a professional in this field. It might take time and not be easy, but I’ve already mastered one craft in life to the highest levels of expertise (and tutored it for almost 10 years). I’m 30 now and no expert (yet), but am well beyond beginner. I know how to learn and self study effectively.

The future is exciting and I’ve discovered my new art! (I’m also performing live these days with ‘TidalCycles’! (Haskell pattern syntax for music performance).

Hey all! I’m new on devRant!

Dropped my youngest off at the childminder today and her husband asked me what I'm doing for a job now
.. Explained its security and data science... His reply was to ask if I can setup a printer....

Guidance counselor at school: so what field do you want to go into?

Me: computer science

GC: what does that entail?

Me: programming

GC: that's like super repetitive, right? You're a smart kid don't do that

In my head: no you mf dingle-dong. That's the job that will take your job away from you in the next 5 years

Ffs, why do people think coding and entering data into Excel are the same things?

I've been fairly lucky with my bosses of late since I've progressed in my programming career. But my absolute worst boss was when I first started working in an office environment doing data entry. My boss at the time was terrible, and she was always against innovation or process improvement. She also always tried to make herself look good and taking credit for the accomplishments of others. If she screwed up it was your fault, and she was "always buried in email" so she could never respond to you for pto requests, or escalation of issues between departments. My whole family pretty much worked in various roles in the department and she fired my brother after my mother left the company for no reason, saying he was "sleeping", but I worked right next to him and he's tall and had to slouch just to comfortable see his computer screen since the same manager refused to approve work station improvements for him.

Our workflow was to receive daily spreadsheets of health care claims that we had to manually process and enter into the system. So being the lazy innovator that I am, and trying to find ways I can efficiently work, I delved into studying visual basic and programmed a few functions and tools in excel to analyze, highlight, and process some of the data since the claims on the spreadsheets always had a specific pattern. This was all before I had any formal education in computer science so the program was very basic and clunky but it tripled my efficiency. When I brought it up to my boss to spread it among the rest of our team so they could use it after a short 20 minute training, she struck it down saying any training or use of it would be a waste of resources since it was too technical and complex to be used and if I were to keep improving it or use it I would be fired. It was literally copy and paste from one spreadsheet to the other en masse and clicking a button to sort and fill in the blanks. Eventually I showed it to the director of the department when working on a large data entry project with her, and I was later offered a job as a technical analyst where I was responsible for the codebase that generated the reports for the department and specifically all the reports my old boss used where I would occasionally mess with her to get back at all the crap she gave me and my brother. Since all the reports were blind carbon copied to everyone, I would send out her reports on a delay while everyone else got them on time. It eventually got her in so much crap she had to step down as a manager. She still works in the same company that I started working at again earlier this year, and like the many careers she's ruined she eventually ruined her own within the company 😂

I just released a tiny game for iPhone!

It's basically an attempt to mix 'Heroes of Might & Magic' and mtg.

In the screenshot my terminal says 'helloworld.cpp'. That's right, this is my first c++ program and I don't care how crappy you think this game is, I'm super proud of myself!

I've always worked in data science where managers assume I know how to code because there's text on my screen and I can query and wrangle data, but I actually didn't know what a class was until like 3 years into my job.

Making this game was my attempt to really evolve myself away from just statistics / data transforms into actual programming. It took me forever but I'm really happy I did it

It was brutal at first using C++ instead of R/Python that data science people usually use, but now I start to wonder why it isn't more popular. Everything is so insanely fast. You really get a better idea of what your computer is actually doing instead of just standing on engineers' shoulders. It's great.

After the game was 90% finished (LOL) I started using Swift and Spritekit to get the visuals on the screen and working on iPhone. That was less fun. I didn't understand how to use xCode at all or how to keep writing tests, so I stopped doing TDD because I was '90% done anyway' and 'surely I'll figure out how to do basic debugging'. I'll know better next time...

I've dreamed of learning business intelligence and handling big data.

So I went to an university info event today for "MAS Data Science".

Everything's sounded great. Finding insights out of complex datasets, check! Great possibilities and salery.

Yay! 😀

Only after an hour they've explained that the main focus of this course is on leading a library, museum or an archive. 😟 huh why? WTF?

Turns out, they've relabled their librarian education course to Data science for getting peoples attention.

Hey you cocksuckers! I want my 2 hours of wasted life time back!
Fuck this "english title whitewashing"

M - Me
F - Family member

F: So you study computer science... Could you recover my Gmail login data? I don't remember my email address, password or security question. (7th request to me like that from the same person, they don't bother to write down the recovered pw)
M: I can't do it if I don't know any of the above
F: Wow, I thought you're a good student... Could you at least create a new account for me?
M: But you won't even remember the new... [gets interrupted]
F: So, are you going to talk trash or get to work? You would have already been 50% done

PLEASE I'M SO TIRED OF IT. HOW DO I DEAL WITH THESE OTHER THAN TELLING THEM WHAT I THINK ABOUT THEM. I SEEK HELP

!rant

We just did a massive update to our prod db environment that would implicate damn near all system in our servers....on a friday.

Luckily for us, our DB is a badass rockstar mfking hero that was planning this shit for a little over a year with the assistance of yours truly as backup following the man's lead...and even then I didn't do SHIT

My boy did great, tested everything and the switch was effortless, fast (considering that it went on during working hours) and painless.

I salute my mfking dude, if i make my own company I am stealing this mfker. Homie speaks in SQL, homie was prolly there when SQL was invented and was already speaking in sql before shit was even set in spec, homie can take a glance at a huge db and already cast his opinion before looking at the design and architecture, homie was Data Science before data science was a thing.

Homie is my man crush on the number one spot putting mfking henry cavill on second place.

Homie wakes up and pisses greatness.

Homie is the man. Hope yall have the same mfking homie as I do

My neighbor(He is 14 I think) pitched this to me and wanted advice since he was going try to participate in the Google science fair.

Him:"A robot that gives you medical advice. You just tell it your symptoms and voila! You've got your diagnosis. No doctor required."

Me: "How are you going to decide what disease the user has?"

Him:" I'm just going to write an if-else ladder statement. I've already got some of the data from this site called WebMD. It's amazing."

Me: "Go with something simple. What you're suggesting won't work out."

He told me I didn't have "Vision".
His ditched his project last week.

So today I made a mock exam of data science.

A beautiful collage....

Computer Science is a mysterious world of three kinds of devs, irrespective of what background/profile/language they had/worked in.

The ones at the top, who keep doing crazy shit in big companies or open-source and keep adding material to the unstoppable code flowing. These constitute 5% of the dev community.

The ones at the bottom are the newbies who try to become masters/ninjas of programming by following the shit on the internet but don't understand logic or how things work. This is like 75% of dev community on the web. If you don't agree to that percentage, you don't know the number of students and non-CS people trying to code. I can see hundreds of classmates/colleagues with no understanding of basic Javascript concepts but introducing themselves as a software developer and ruler of the Web.

The remaining 15% in the middle are the "experienced" fellows who keep building shit to get to the top 5%. They work on enterprise/commercial software until the next upgrade and while the wallets keep getting fatter, they don't actually contribute to the community.
This is the part where I want people to understand the power of a dev.

What sets apart programmers/devs from other engineers:
while everyone else is busy solving the current issues/requirements of the world, we devs are the ones who 'build'.
With a right motive, a developer can solve in-numerous problems of the society, be it education, poverty or unemployment.

An experiment by Lee to put data on the web created a world of unforeseeable opportunities.
Hope to see more of Musks and less of Zuckerbergs in the future.

So my first job is also my current one. I am a computer science student and for my course we had to do a project for an actual client. The client was a consultancy company and after working my ass off, their software development partner decided to hire me and a classmate.

The company is pretty small (we are now with the 6 of us) and the general attitude is very nice. I've only been working there for a few weeks and I feel very welcome. The work isn't too hard (mainly web development with geographic features/data).
In rough lines the stack always consists of a Java Rest API and an Angular frontend that retrieved the data from the API.
So far I have learned a ton and I am really happy that I have this opportunity. Lunch is provided and we always eat together, we crack jokes, have fun, play games in the break. Coffee machine next to my desk. I'd love to work here all my life :d

Since I'm still in school I can't go to the office every day. Instead I am at the office every Monday and on other days I try to work from school or home.

I attended a data science meetup recently. There were many suits walking around the corridors because of some startup night taking place at the same time.

After some time a guy appeared infront of me, telling me he was afraid at first that this was a meetup for suits only. Until he saw all the dev and rock stickers on my notebook. He was reliefed that there was some nerd at least.

He asked what I was doing so I told him about my startup about optimization of heat generation plants jada jada. I asked him back.

He replied, "Well, I'm also part of some small startup. Among the things we develop processors and stuff. It's called Intel."

Well dude, that was nicely played. I had a lot of fun that evening.

$50,000+ Computer Science fucking diploma, yet here I am on a Sunday evening doing data entry coz there is no one else to do it!

My dream was shattered!!

I joined a new company. I graduated last 2 months before and joined as data analyst.
So I was dreaming to work on some awesome research projects and all, but it was just another dream...people here don't work on any sort of data analytics instead the data science team uses regex and all to extract things and say they are building models.
Ahh...wtf!!!
Many co-workers are good and help me, but the boss. He left all the annoying works to me and the release is in next month...
"BRUH I JUST JOINED YOUR COMPANY!!!"
Then after some days he gave me more task, when he found that one task was super easy(i mean it was just to extract things using bs4 and selenium, hardly will take an hour) to do then he took that himself and in the next meeting said he did that work and it was super difficult!!!
Data science here to senior members is just for loop!! I dont even know why I joined this firm
Ahhh!!! I want to scream!!!

**Me completing data science courses**
ACCURATE.

"we use machine learning to ..."
Ffs you're interviewing a developer, not pitching to a investor. We know how much machine learning you use.

Trying to get more hardware from IT for data science be like...

Hey, guys!

I'm new here and I want to introduce myself and meet you too.

My name is Mariana, I'm 21 years old and I live in Brasilia, capital of Brazil.

I'm a beginer in the world of development and I joined on this community to know more about this world. I am currently studying js, react and react native, but I am passionate about database, in the future I want to work with data science.

And you? Feel free to introduce yourself too! :)

My university has impeccable data management. I needed to ssh into their Linux server for an assignment but it refused to accept my login. Which was weird because I could login to the same account on one of our websites just fine. I typed my password into a text file and then copy and pasted it into both logins. The Linux one failed but the website succeeded. After some experimentation it turns out that the Linux server only recognized my username if I typed it in all lowercase, even though when I created the account it had uppercase characters as well.

So let me walk you through the sloppiness that had to have occurred for this to happen. When I first created the account it must have ignored what I entered and just saved the username in all lowercase without communicating that to me. Then the websites that use this account must either ignore case for usernames or lowercase the user input before querying the database. Finally, the Linux server, despite knowing that all the usernames are lowercase, is case sensitive and won't recognize the username as I originally typed it in.

Can you guess what department manages the account, website and Linux server? The Department of Computer and Information Science. Incredible.

Just because you can learn HTML in a day doesn’t mean that you don’t need a degree.

Did you know that your browser, HTML, CSS, Javascript, and even your operating system use linked lists, binary trees, hash tables, and other so-called “useless” data structures?

It’s important to understand the roots and fundamentals of computer science even if you won’t use that knowledge day to day.

It changes your perspective on programming once you learn what actually goes on under the hood, and makes you think twice about the impact of what you write.

It’s relatively easy to get a programming job without a degree nowadays, but it often leads to web developers claiming that degrees aren’t important to their web apps.

There is much more than just the web to computer science, and that’s something to always keep in mind.

"His graphs are bigger than mine."

🤐

Hope there is no Data Scientist here...

WHY DO PEOPLE USE STRINGS ON THEIR BINARY CLASSIFICATION DATA LIKE IS IT HARD TO USE 0 AND 1?!?!

It was my first ever hackathon. Initially, I registered with my friend who is a non coder but want to experience the thrill of joining a hackathon. But when we arrived at the event, someone older than us was added to our team because he was solo at that time. Eventually, this old guy (not too old, around his 20s) ( and let’s call him A) and I got close.
We chose the problem where one is tasked to create an ML model that can predict the phenotype of a plant based on genotypic data. Before the event, I didn’t have any background in machine learning, but A was so kind to teach me.
I learned key terms in ML, was able to train different models, and we ended up using my models as the final product. Though the highest accuracy I got for one of my model was 52%, but it didn’t discouraged me.
We didn’t won, however. But it was a great first time experience for me.
Also, he gave me an idea in pitching, because he was also taking MS in Data Science ( I think ) and he had a great background in sales as well, so yeah I got that too.

Literally anything but work with computers, I think. They ask my brother to fix anything technical in the house and ignore it when he fails. They haven't been able to watch TV in six months. When I suggest that my (well-intentioned but mostly nonverbal) sibling probably shouldn't go into development, they tell me I don't know my own job. I suspect they're convinced I do graphic design.

I write C++ applications that run physical simulations and sometimes train AI models for pattern recognition and highlighting unusual incoming files.

They suggested I go to an undergrad program for data science. I already *do* data science for money and I already have an undergrad degree. 🙄

Agreed? 🧐

U can forget wearing your pants but never these 3...

data science is just a sexy word for statistics.

1% programming skills
99% practically all science thats not computer science

Frustrated, tired and a bit lost.

I'm a "Senior PHP Backend Dev", which includes not the greatest tech stack nor the best job title, but it pays fine, and the company is awesome to work for.

I suck at writing features, but I'm great at bitching, and I easily put complex abstract concepts into usable models. So I'm also QA, tester, tech lead, database architect, whatever.

That makes writing PHP less annoying, because I create the rules, and whip devs around when they forget a return type definition or forget to handle an edge case. But I don't write a lot of code anymore, I mostly read (bad) code.

Lately I REALLY feel like doing something else... problem is that I know JS/ES6, but really dislike React/Vue and the whole crappy modern frontend toolchainchootrain of babelifyingwebpackingyarnballs. I know Python/Tensorflow/etc, but don't feel like I want to go into data science or AI. And then I'm awesome at the shit no one uses, like Haskell, Go and Rust (and worse).

I got a job offer which combines a very interesting PHP codebase with a Java infrastructure, where I could learn a lot... and I'm kind of tempted.

Problem is, everyone always shits on Java. I always made a bit of fun of Java myself. Don't even know exactly why, probably some really cruel instinct which causes kids to bully the least popular kid.

I know the basics, I've written the hello world, and a small backend app for a personal project. I know how strict and verbose it can be. I love the strictness in Haskell and Rust.... but those are both also quite terse.

Should I become a Java dev? I'm not talking about Android SDK, but an insane enterprise codebase at a life sciences corporation.

To the pro Java devs: What are the best and worst things about your job, about the weekly processes, about the toolchains? Have you ever considered other languages? Do you unconditionally love and believe in Java, or do you believe Swift, Kotlin, Scala or whatever will eventually make it completely obsolete?

Will Java hasten my decline into the cynical neckbeard I was always destined to be?

There are a lot more fun langauges, but looking at realistic demand and career value...

Two weeks ago, I chose my modules for my Master in Data Science. This morning, I received an e-mail to tell me it was a bug, I was not accepted.
.
So what's now
.
I guess I will kill myself

TLDR Question:
When do you consider yourself an expert at a language?

More details: there is a really cool Data Science internship opening up near me that I want so badly it physically hurts me, but it asks for expert level knowledge of python, Java, or R.

I’ve only been studying R and Java for like 3 months, and Python for about 8 months, so I’m obviously no expert. When exactly does someone reach that threshold, though? When did you realize you were an expert at a language?

Should I actually look into getting a dev job..?

*I have a high school diploma (graduated three years early)
*College dropout (3-4 months, Computer Science - Personal Reasons)
*No prior work experience.
*Good textural communication skills, poor verbal communication skills.
*Currentally unemployed. (NEET :P)

*I have extensive personal experience with Java, and Python. Some Lua. Knowledge of data generation, parsing, Linux, Windows, Terminal(cmd & bash), & Encryption(Ciphers).
*Math, but very little algebra/geometry (though, could easily improve these).
*Work best under preasure.

Remote only.

Think anyone would hire me..?

zero motivation for anything, i just want sit outside in the sun at the lake with ice cream and not in front of a screen. And not being bothered by the new vacum cleaner loud deep learning rig of the data science department in this open floor office.
I fucking forgot my noise cancling headphones. FML

Code never lies
Comments sometimes do

Nah!
Code lies too, especially when you train a neural network 😂😂

The joy of a complete trained model.
Onto the next task. Use the model to automatically infer handwritten figures on a bankers check/cheque.

101, How to get approval for your projects...
source: LinkedIn

When you forget to normalize or standardize your data.

A girl takes less time in getting ready as compared to windows 10😂😂😂
#WeekendHumour
#myOriginaldontCopy😏

So one year ago, when I was second year in college and first year doing coding, I took this fun math class called topics in data science, don't ask why it's a math class.

Anyway for this class we needed to do a final project. At the time I teamed up with a freshman, junior and a senior. We talked about our project ideas I was having random thoughts, one of them is to look at one of the myths of wikipedia: if you keep clicking on the first link in the main paragraph, and not the prounounciation, eventually you will get to philosophy page.

The team thought it was a good idea and s o we started working.

The process is hard since noe of us knew web scraping at the time, and the senior and the junior? They basically didn't do shit so it's me and the freshman.

At the end, we had 20000 page links and tested their path to philosophy. The attached picture is a visualization of the project, and every node is a page name and every line means the page is connected.

This is the first open project and the first python project that I have ever done. Idk if it is something good enough that I can out on my resume, but definitely proud of this.

PS: if you recognize the picture, you probably know me. If you were the senior or the junior in the team, I'm not sorry for saying you didn't do shit cuz that's the truth. If you were the freshman, I am very happy to have you as a teamate.

TL;DR - Girlfriend wanted to learn coding, I might have scared her off.

Today, my girlfriend said she wants to learn coding.
Me: why?
She: well, all these data science lectures are recommending Python and R.
Me: Ok. But, are you interested in coding?
She: No, but I think I have to learn.
Me: Hmm.. coding requires a clear thought process, and we should tell the computer exactly what needs to be done.
She: I think I can do that.
Me: Okay... then tell the computer to think and give a random number between 1 to 10.
She: I will use that randint function. (She has basic knowledge in C)
Me: Nope. You write your own logic to make the computer think.
She: What do you mean?
Me: If I were you... Since it is just a single digit number.. I would capture the current time and would send the last digit of milliseconds @current time.
She: Oh yeah, that's cool. Understood! I will try...
" " "
We both work in same office.. so, we meet up for lunch

" " "

I didn't ask about it, but she started,
She: Hmm, I thought about it, but I was not able to think of any solution. May be its not my cup of tea.

I felt bad for scaring her off... :(

Anyway, what are some other simple methods to generate random numbers like OTPs. I am interested in simple logics, which you have thought of..not the Genius algorithms we have in predefined libraries.

Cousins came over...

Me: just compiling some python code, opens up jupyter notebook to take a look at some data science code
Little Sis: *looks at jupnb dump on cmd*
Whoa are you Hacking?
Me: yeah. I got bored of whole Hacking command typing thing so I opened up my hacker console.
*print("hello world")*
Sis:wow!
Me: you know what, typing is too tiresome, I'll connect to it with my mind
*alt-tab*
*cmatrix -b*
*sits in yoga pose*
Little Sis: Screams at the top of her lungs and runs to aunt
"DAVE IS HACKING MATRIX"

I created a curriculum to homeschool myself way up for a MSc in AI/ML/Data Engineer for Application in Health, Automobiles, Robotics and Business Intelligence. If you are interested in joining me on this 1.5yrs trip, let me knw so I can invite you to the slack channel. University education is expensive..can't afford that now. So this would help but no certificate included.

Anyone else taking Harvard's CS50 via edX? It's so awesome! You get a better understanding of Computer Science and stuff. I'm loving C! It feels so close to communicating with the machine. Memory allocation fascinates me, too. Is this why it's fast? If you feel like you're lacking with the CS fundamentals although you can build apps or websites already, I recommend this. This is better than my whole years in college!

Programmer’s life cycle:
- Nothing can stop me today
- A bug huh? let's squash
- I can’t fix this
- Confidence crisis
- Questions career
- Questions life
- Oh it was a typo
- Nothing can stop me today

in the past 48 hours my partner must have asked me 50 times to create an "AI" that can get the data we need off of wikipedia.

Background: I am in AP Computer Science AB but I have been programming long enough that this class is a joke. We were assigned to partners with the task of creating a search engine that finds informations on wikipedia("which is dumb because thats what the search tool is for") so I created a Java Web-Scraping program in probably 30 minutes and showed my partner. He told me I am completely wrong because it would be "cool" to incorporate machine learning into the assignment.

Do I even tell his what machine learning is or should I just let his figure it out?

I'm that person that makes shit inefficient code, hello everyone. I'm just now learning algorithms and data structures after years of employment.

It is my hope to one day atone and be forgiven for my crimes against computer science.

Yesterday I met my cousins who are old enough to have kids. It was a good talk with them bringing back the old memories. One of my cousins has a barely 5 year old kid. I tried to talk to her and the conversation went like this:

Me: “hey there! Hi, how are you?”

She: “Good. What do you do?”

Me: “I am a computer science engineer. What do you wanna be when you grow up?”

She: “A scientist.”

Me: **thinking calmly, “Oh, what kind of scientist?”

She: “A Data Scientist.”

Me: **Two seconds of silence and decides to leave...

Visual Studio (Code)

-Cross-Platform App Development
-Cloud Integration
-Extensions/Packages
-Lightweight (Installer VS2017)
-Many of Langs (C#, js, Python, F#,...)
-Data Science Tools built in
-...

The model developer may have got it

Switching to macOS was an entry to paradise.

I go to Windows only to play Call of Duty. It’s crap and always will be.

P.S no comments on Linux.

love-hate relationship with Python semi-rant
The year is 2020.

I have already grown accustomed to the idea that in order to do ML without worrying too much about having to completely jump through hoops with the tech stack I have chosen that I would have to settle with Python, which I like.....for small scripts that don't do much other than piping data around or doing simple admin tasks, that is generally our use of Python at work.
For anything bigger I would prefer something else. Not because I find anything inherently horrible in Python, I find it to be a nice language overall, that has made it possible for many to find a passion inside of the world of development and possibly an interesting in overall engineering and computer science principles. Much respect Python, good game Guido VR, what you did changed the world.

But it is that damn whitespace that gets me, the need to use it as a way to properly write blocks, I just can't make myself like syntactical whitespace no matter what I do. I can do without static typing, shit I did it for the longest time with JS way tf before Node and Typescript were a thing, and I have done it before PHP's attempt at having type hints, which still leave much to be desired. Ruby(imho) the most elegant language around doesn't have it and that is fine really, it does not bother me as much, if mypy gets powerful and widely adopted enough it will then be a non-issue.

But another thing that the 4 languages i mentioned before have is non-existent syntactical whitespace......I just can't stand it.

So, why am I saying all of this nonsense? Today I wanted to recreate a conda environment and landed on the use of YAML............which has syntactic whitespace and I lost my shit.

I seldom bitch about languages and technologies, shit, I used VBScript before, not only did I get paid handsomely for it, but I fucking enjoyed it(probably cuz I am a masochist).

But two things I cannot abide: VBA and syntactic whitespace.

Once I get enough knowledge for it I will push for the same level of tooling in Python to be ported to Scala.

Thank you for coming to my whiny post about something as small as bitching about syntactic whitespace.

Just changed my wallpaper to be the Tensorflow logo and added 'background in data science' to my CV.

So I finally got a job where I was an intern as a Data Scientist.
PS : I am a non-computer science background guy, who made it through.

Visual Basic at high-school, pascal and C and Java at University. VBA for macros on a job. html+css+js learnt o er a weekend to pass the screening for a new job, then ruby and php on that job to build internal tools. Now I am into python for data science. It has been fun.

So according to Pfizer, ~39,000 people received a second dose of vaccine/placebo. So about 20,000 got the placebo, and out of that group only 85 got infected in the span of 3.5 months, during the second wave. That's 0.425%.
So they either:
* Proved Covid is not infectious
* Manipulated the shit out of their data
How that fuck is this considered valid analysis?!
If I tried to publish a paper based on such unreliable, statistically meaningless data, I would be rejected without a blink.

Alright lads here is the thing, have not been posting anything other than replies to things cuz I have been busy being miserable at school and dealing with work stuff.

Our manager left us back in February. Because she was leaving I decided that I wanted to try a different path and went on to become a programmer analyst for my institution, if anything I knew that it was going to be pretty boring work, but it came with nice monetary compensation and a foot in the door for other data science related jobs in the future. Thing is, the department head asked me to stay in the web technologies department because we had a lack of people there and hiring is hard as shit, we do not do remote jobs since our work usually requires a level of discretion and security. Thus I have been working in the web tech department since she left albeit with a different title since I aced the interview for the analyst position and the team there were more than happy to have me. I have done very few things for them, some reports here and there and mostly working directly with the DBA in some projects. One migration project would have costed my institution a total of 58k and we managed to save the cost by building the migration software ourselves.....honestly it was a fucking cake walk, if you had any doubts about the shaddyness of enterprise level applications regarding selling overpriced shit with different levels of complexity, keep them, enterprise is shaddy af indeed. But I digress.

I wrote the specification for the manager position along the previous manager, we had decided that the next candidate needed to be strong with development knowledge as well as other things as to properly understand and manage a software team, we made the academic requirement(fuck you, yes we did ask for academic requirements) to be either in the Computer Science/software engineering area or at least on the Business Administration side. We were willing to consider BA holders in exchange for having knowledge of the development process of different products and a complete understanding of what developers go through. NOT ONE SINGLE motherfucker was able to satisfy this, some of them were idiots that I knew from before that had ABSOLUTELY no business even considering applying to the position, the courage it took for some of these assholes to apply would have hurt their mothers, their God if they had one, and their country, they were just that fucking bad in their jobs as well as being overall shit people.

Then we had 1 candidate actually fall through the cracks enough to get an interview. My dude here was lying out of his ass through the interview process. According to him he had "lots of Laravel experience and experience managing Laravel projects" and mentioned repeatedly how it would be a technology that we should consider for our products. I was to interview him alongside the vice president of our institution due to the head of my department and the rest of the managers for I.T being on vacation leave all at the same bloody time.

Backstory before the interview:
Whilst I was going over the interview questions with the vice president literally offered me the job instead. I replied with honesty, reflecting how I did not originally wanted him but feeling that our institution was ready to settle on any candidate due to the lack of potentials. He was happy to do it since apparently both him and the HOD were expecting me to step up sooner or later. I was floored.

Regardless, out of kindness he wanted to go through the interview.
So, going back to the interview. As soon as the person in question referenced the framework I started to ask him about it, just simple questions, the first was "what are your thoughts on the Eloquent ORM? I am not too fond of it and want to know what you as a full time laravel dev think of it"
his reply: "I am sorry I am not too familiar with it, I don't know what that is" <--- I appreciated his honesty in this but thought it funny that someone would say that he was a Laravel developer whilst not knowing what an ORM was since you can't really get away from using it on the initial stages of learning about Laravel, maybe if one wanted to go through the hurdle of switching to something like doctrine...but even then, it was....odd.

So I met with the hod when he came back, he was stoked at the prospect of having me become the manager and I happily accepted the position. It will be hell, but I don't even need to hit the ground running since I have been the face of the department since ages. My team were ecstatic about it since we are all close friends and they have been following my directions without complaints(but the ocational eat a dick puto) for some time, we work well together and we are happy to finally have someone to stop the constant barrage that comes from people taking advantage of a missing manager.

Its gonna get good, its gonna get fun, and i am getting to see how shit goes.

Promising the boss a 95% model accuracy when the arXiv paper says it can only reach 86% is what I call self-checkmate

Worked as a student in a big company. Just doing data entry and checking product data. It was a nice part time job at the same time with computer science study. After a year I asked for something else and switched to the Android Team. I said I could do a little bit of Java and wrote for another half year Unit Tests. That was the point where I really learned coding and got experienced. Would never learned so much in my study because I was lazy. Now I can call me a Android Developer. Still love the company for giving me this opportunity.

"Non-devs never call Steven Spielberg to have their TVs fixed."
But sure they MUST call a dev to update their Android, iPhone, Windows, installation of Anti-virus, data recovery, malware removal, to shortlist 20 laptops from market, ask for what printer to buy, why is there a weird animation in Android sometimes, come borrow my WiFi, have their phones and computers fixed, RIP old audio CDs (yes!), fix Bluray, fix anything electronic, repair their bike, teach them science, politics...
This While True loop never escape.

We bother only about errors not warning

Me to university: You taught us C++, java, DS Algo and PHP only right?

University: Yes

Me: So our college project must be around these only?

University: Yes... But No, here are your only options for our college project

1. MEAN/MERN Stack Website
2. Machine Learning
3. Data Science
4. IOT
5. Android App

Me: WTF?

"What is Data Science?" The title of the first slide of way too many data science talks.

Corporation.
Meeting with middle level managers.
Me - data scientist, saying data science stuff, like what accuracy we have and what problems with performance we managed to solved.
Manager 1: Ok, but is this scrum?
Manager 2: No they're using kanban.
Manager 3: That's no good. We should be using DevOps, can we make it DevOps?

So yea, another great meeting I guess..

Someone asked me about Ruby vs Python.

The flashbacks regarding the python vs ruby wars started to kick in man.

I always liked Ruby faaaaar more than Python. And find Rails to be a far superior alternative to Django as the web framework champion from each side and Sinatra far more enjoyable than flask as the micro framewor champion on each side goes.

But this guy is very math oriented and likes the idea of data science for which Ruby has a disadvantage in terms of available ecosystems.

You can't take my blocks and dsls from me tho. I will fight for them.

so I left uni after my PhD and joined a start up where the boss is a Cambridge grad who does coding and is like 50 years old (he never told us the true value), the CTO is very talented and another dev who quickly became my best friend and me doing data science. the 4 of us worked together like friends and the efficiency was fantastic, there's no bureaucracy bullshit or shit boss talks. We built the whole thing from scratch (okay I admit they did most of the building) and to this day, we work just has we have been.

So here's my problem. I've been employed at my current company for the last 12 months (next week is my 1 year anniversary) and I've never been as miserable in a development job as this.

I feel so upset and depressed about working in this company that getting out of bed and into the car to come here is soul draining. I used to spend hours in the evenings studying ways to improve my code, and was insanely passionate about the product, but all of this has been exterminated due to the following reasons.

Here's my problems with this place:

1 - Come May 2019 I'm relocating to Edinburgh, Scotland and my current workplace would not allow remote working despite working here for the past year in an office on my own with little interaction with anyone else in the company.

2 - There is zero professionalism in terms of work here, with there being no testing, no planning, no market research of ideas for revenue generation – nothing. This makes life incredibly stressful. This has led to countless situations where product A was expected, but product B was delivered (which then failed to generate revenue) as well as a huge amount of development time being wasted.

3 - I can’t work in a business that lives paycheck to paycheck. I’ve never been somewhere where the salary payment had to be delayed due to someone not paying us on time. My last paycheck was 4 days late.

4 - The management style is far too aggressive and emotion driven for me to be able to express my opinions without some sort of backlash.

5 - My opinions are usually completely smashed down and ignored, and no apology is offered when it turns out that they’re 100% correct in the coming months.

6 - I am due a substantial pay rise due to the increase of my skills, increase of experience, and the time of being in the company, and I think if the business cannot afford to pay £8 per month for email signatures, then I know it cannot afford to give me a pay rise.

7 - Despite having continuously delivered successful web development projects/tasks which have increased revenue, I never receive any form of thanks or recognition. It makes me feel like I am not cared about in this business in the slightest.

8 - The business fails to see potential and growth of its employees, and instead criticises based on past behaviour. 'Josh' (fake name) is a fine example of this. He was always slated by 'Tom' and 'Jerry' as being worthless, and lazy. I trained him in 2 weeks to perform some basic web development tasks using HTML, CSS, Git and SCSS, and he immediately saw his value outside of this company and left achieving a 5k pay rise during. He now works in an environment where he is constantly challenged and has reviews with his line manager monthly to praise him on his excellent work and diverse set of skills. This is not rocket science. This is how you keep employees motivated and happy.

9 - People in the business with the least or zero technical understanding or experience seem to be endlessly defining technical deadlines. This will always result in things going wrong. Before our mobile app development agency agreed on the user stories, they spent DAYS going through the specification with their developers to ensure they’re not going to over promise and under deliver.

10 - The fact that the concept of ‘stealing data’ from someone else’s website by scraping it daily for the information is not something this company is afraid to do, only further bolsters the fact that I do not want to work in such an unethical, pathetic organisation.

11 - I've been told that the MD of the company heard me on the phone to an agency (as a developer, I get calls almost every week), and that if I do it again, that the MD apparently said he would dock my pay for the time that I’m on the phone. Are you serious?! In what world is it okay for the MD of a company to threaten to punish their employees for thinking about leaving?! Why not make an attempt at nurturing them and trying to find out why they’re upset, and try to retain the talent.

Now... I REALLY want to leave immediately. Hand my notice in and fly off. I'll have 4 weeks notice to find a new role, and I'll be on garden leave effective immediately, but it's scary knowing that I may not find a role.

My situation is difficult as I can't start a new role unless it's remote or a local short term contract because my moving situation in May, and as a Junior to Mid Level developer, this isn't the easiest thing to do on the planet.

I've got a few interviews lined up (one of which was a final interview which I completed on Friday) but its still scary knowing that I may not find a new role within 4 weeks.

Advice? Thoughts? Criticisms?

Love you DevRant <3

The everything is Data science craze trend.

Honestly it's not even sustainable with every kid and their grandmother wanting to be data scientists because it's a 'passion' and a 'dream job' and all of that click bait stuff.

It's just become ridiculous at this point and I doubt we'll even have the long awaited 'breakthroughs' people have been talking about for so long.

Also I have a strong feeling everyone thinks it's their 'passion' because it tops the lists of highest paid jobs out there and everyone thinks with 3 months of training they're a fully fledged data scientist because some Python or R package implements all the algorithms he could ever think of using.

Add to that the fact that most advertised data science jobs are actually data engineering where you maintain a date store and that's it.

Agree or disagree that's my piece and if you can convince me otherwise I'll be surprised because I've been subscribed to this idea for so long that it lost me some real good opportunities because I thought it was just what I was meant to be doing which turned to be false after I thought about it. There's a million other jobs that are more impactful and with pursuing.

C might be a pain to write, but holy cow does it run circles around python from a performance perspective. Easy to forget in fields like data science, where python is the default

Waking up and guess the first item on my feed?
IBM research just released Snap ML framework that's supposedly 47x faster than Tensorflow. Now, i like advancements but fuck i just finished developing my Tensorflow model, and i don't want to rewrite this stuff again!

Redeveet..

Merry 2018 in advance.

If it aint a secret, comment w/ your new years resolution so other lazy fucks can get motivated.

Mine: a 3d game (godot), releasing my data science java libraries, building some kind of robot

I can agree to shit when presented with hardcore data, data that proves me otherwise. But when people go by opinions and then hold is a truth because of "many feel the same way" I cannot help but to giggle a bit.

Most issues I have found with programming stacks come from opinions rather than hard presented data, if a bunch of people dislike a tool, but it delivers, I get to differ two things: (1) it is bad but it performs as needed, but it is bad because of design problems etc, (2) some dude made a post concerning why he things is bad and sheep mentality follows.

If technologies were without merit, then we would have all discarded C++ a long time ago cuz Linus disliked it, a powerful programmer indeed, but a FOCUSED one, meaning, one that deals with 1 domain (kernel development)

Do I care about what Linus things about web development? No, lol, he is a better kernel developer than I am, but I highly, grossly doubt that he knows enough about web development to give me something to think about.

all languages have faults, regardless of what point of view we look at them, but completely disregarding a tech stack because of shit that you saw some fucktard wrote about, benefits and otherwise, just seems....well...sheepish, there might very well be a tech stack out there that covers everything, to me it is a mixture of things, and I use them as I please and feel like, but this is because after years of learning I have read about quirks and pitfalls and how to avoid them. I would suggest you all do the same, by you all I mean those of high opinions that can't be deflected.

This field is far too wide and concentrated to go head and think about absolutes when even the fundamental mathematical theory concerning computer science is not absolute whatsoever, it is akin to magic, shit works, but it might not, the incantation might be right, but circuits and electricity have a way of telling us to go fuck ourselves, so do architectures, specifically ones based on physics.

Over the last year, I’ve only started learning computer science at uni, never done it before.

I’ve done units in:
- Alg. and programming fundamentals in python
- Intro to comp sci
- alg. and data structures
- theory of computation

Guess the point of this is, “why do people code, what aspirations do you all have?”
Cause rn, I’m all about “I have no idea what I’m doing, coding just seemed cool and I wanted to try it out.” Don’t know where to go

Someone inspire me???
Here is a legit reason for you to brag about what you do and what you’re going to do 😉

!rant
Looking for advice, serious advices.

I work in C.
Also, I work in Python.
I have worked for a couple of year in C++.
I have a fair knowledge of the Data Science workflow, and some experience in Machine Learning.
I have tinkered with some other languages (Java, Ruby, Go, JS among the others, nothing serious nor professional)

I'm the kind of person who needs constant problems to face in order to keep engaged, satisfied, happy. And I need to learn new stuff, or refining my knowledge constantly, or I stagnate. I believe that this is true for quite a share of people here.

I would like to spend some spare time (I seldom have) in a project. Personal projects are rarely good enough to improve one's cv, so I thought I could partecipate in some Open Source projects.

Does anyone here have some suggestion about some interesting and satisfying OSProject, or some general suggestion on the matter?

It would be so apreciated.

Building a Deep Learning environment on Windows is such pain in the ass.

Last night, after reading one of my computer science textbooks, I couldn't go to sleep because I came to the realization that computers will never be able to think like humans. Because a machine does what it's told to do. It is incapable of thinking outside of the box. What will need to happen is that parts of a human or some biological organism, essentially the squishy stuff, will need to be combined with a computer.

What I mean to say is that computers are good at answering questions in an absolute way. Essentially, you give it a problem and it will click away at it until some output pops out. Yes advanced AI exists, like Alpha Go. But again it's only doing what it was programmed to do. Looking at ways to play a game and answering for that question. In this case, playing a game of Go. I'll guarantee you, that not once did it stop to ask **why** it was playing Go. It was simply__just__ playing Go. But that's it. That's the limit. We give machines data/statistics and we let me them give us an answer based off of that data or input.

This is how I imagine intelligent machines will come about. A biological brain will be combined with a machine. The brain will be doing alot of the questions, and the machine will do a lot of the calculations. Together, they'll be able to answer hard questions. The heavy calculations will be left to the machine, and the heavy thoughts will be left to the brain.

I mean technically we're already doing that. But imagine a machine/brain computer that does not sleep, can't get sidetracked and will never procrastinate. That would be a scary machine.

Being in Data Science and Mobile Development taught me :
1.Always be curious
2.Never stop learning
3.Never give up
4.Don't be afraid of Experimenting new Technologies
5.Don't always take ,Give More ,Share More!!

Do Share What your Domain taught you in the Comments 😀

Finally finished my application to do Data Science. Fingers crossed I get it!

INTERVIEW. It tells everything about the company. I recently applied for a "big" company for the position of ML Engineer. The Job description was like "someone with good knowledge of visual recognition, deep learning, advanced ML stuff, etc." I thought great, I might be a good fit. A guy called me the next day. Introduced himself as a manager of the Data Science team with 8+ years of experience. Started the talk saying "it is just an informal intro". But things escalated very quickly. Started shooting Data Science questions. He was asking questions in a very bookish way. Tells me to recite formulas (like big formulas). When I explained to him a concept, he was not understanding anything. Wanted a very bookish answer. I quickly realized I know more about ML stuff than him (not a big deal) and he is arrogant as fuck (not accepting my answers). Plus, he has no knowledge about Deep Learning. At the very end, he tells me "man, you need to clear up your fundamentals". WTH??? My fundamentals. Okay, I am not Einstein or Hinton, but I know I was answering things correctly. I have read books and research papers and blogs and all. When I don't know about things, I tell straight away. I don't cook answers. So the "interview" ended. I searched that man on LinkedIn. Got to know he teaches college students Data Science and ML. For a fee of 50,000 INR. It's a big amount!! Considering the things he teaches. You can find the same stuff (with far higher quality) free of cost (on Coursera, Udacity, YouTube, free books, what not). He is a cheater. He is making fool of college students. That is why I sometimes hate "experience". 8+ years of exp and he is such an a**hole!! BTW, I thanked God for saving me from that company. Can't imagine such an arrogant boss.

TLDR: Be vigilant during interviews. It tells a lot about the company.

Data Science in Python is mind-blasting.

Last week I got told by an incoming CTO, a week old to the organisation, that I'm good for nothing and unable to produce any work. He told me that he'll replace me and put me in a team where I'm more resourceful as I have been consistently underperforming. (He doesn't understand data science yet fyi) Then, he informed he's hiring 5 new teams members.

Me (junior data scientist) being really passionate about work was shook to hear this. So much so that it took me a week to even recover from it. I have considered counselling sessions too.

Week later, 5 new team members decide to flip his offer and not join. Another existing senior member decides to leave as well. Meanwhile, major issues in existing systems emerge and only I could solve the same. Still haven't heard back any from him though.

Is this the industry standard though ? Is this how CTOs normally function ? Throwing shit at people without knowing their value or valuing their efforts ? Especially with junior developers. It's only been 2 years in this profession and I've not met more than 3 genuine and helpful people. Maybe it's just my organization.

#1 Sharing co-working space with my wife.

#2 my home office! (I transitioned from music industry work into data science over the last few years)

Girl (trying to turn things on): people from my country are great in bed.
Guy: what data points do you have ?
*Girl walks out of the room*

I am so fucking happy I spent time and money getting a college degree in computer science so I can write python scripts to label data. Seriously fuck my lead

Well, my country has a Degree called Bsc.CSIT which literally means Bachelors of Science Computer Science and Information Technology. I completed that degree and was employed right after I completed my degree. I have worked in two offices and no one cares what degree I have.

So I think Degree is not that necessary here in Nepal as long as you can get the job done.

Now I am about to pursue a Big Data related degree hope that is not as worthless as my current degree.

What IDE do you use for python programming?

Trying to switch my job. Applied for a well known company. Gave an interview today. I don't fucking get the obsession of these developer recruiters so fixated on data structures and algorithms. I know it's a massive part of computer science but guess there is no fucking room left to innovate in there. There are legitimate researcher teams working for implementation of these barebones inside system foundations. No general software developer gives a fuck about this piece of shit discipline of study. You wanna know why they propagate this as the panacea to test people because it's fucking easy. Give a project to somebody as interview procedure, it'll take time to bring out an interesting problem and an interesting solution to that. Sorry to say but all these data structure enthusiasts are nothing better than board game enthusiasts.

Also why can't you refer existing solutions to create your solution. I've seen some good problems which actually require you to think. But again those are heavy and can't be tested so you're left with reversing a fucking linked list with O(1) auxillary space. Fuck me ig.

Moreover, what the fuck is wrong with the moral policing internet crowd. Its so sad. I've hardly seen anybody rant about this piece of shit system put in place to push the absolute dead-end nutcases up the ladder. Every other search for it returns a Quora link with some Indian guy complaining about his interviews and in the comments you have the same scholars sitting in their data structure throne imparting knowledge about how data structure holds the fabric of reality together.

I don't hate data structures and algorithms as a subject. It is cool and quite extensive but once you try to make that as a metric of all the knowledge in the world, you've lost my drift. Maybe I'm just angry with the state of things. Maybe I'm just angry with token Quora crowd.

Husband looking into online schools for CS. Anything data science related. He loves math (and is freaking good at it) and teaches himself R for fun.

I put 0 thought into my own schools (terrible, I know, but not likely to change any time soon). Any suggestions for good online data Science programs, with a math minor potentially?

It's for his bachelor's.

Data scientist and related devs, how do you handle large datasets?
I was given a .txt file containing +1M edges of a directed graph. I tried to analyze it with networkx, but my computer killed the process as it was eating too much CPU/memory.
I would be grateful for any advice!

> be me
> studying 1.5 years liberal arts stuff and general education class at community college
> transfer to a 4 year university.
> realize I need a major
> Realize I also I wanted to 9ne day have a family.
> realize family would need money
> "struggling actor" not a great choice
> pray about what I should be doing
> get distinct impression that instead of attending the session on majors at the college of fine and performance arts to go to session with the college of Science and engineering.
> hear pitch for computer science.
> signup for introduction to programming taught with c++.
> A couple semesters down the line take 3 classes all at once Discrete Math 1, Linear Algebra, and database design and administration.
> around week 6 realize that all 3 classes revolved around sets and set logic and set math.
> realize rdbs's are "applied" set math and that Each class a little more "applied" than the former.
> Be genius at SQL and set math
> havereally smart database teacher mentored me
> get introduced to the recruiter at the career fair.
> get interviews
> get flown out for 2md interview
> get internship
> do work, and get project back under budget
> a job offer
> finish senior year
> start as a "real" developer supporting business data and analytics.
> ???
> profit.

So as you may know, I am job hunting. One company I found, called ruby, sounded interesting (the name helped). They were looking for data science type stuff.

I was about to apply when I got the feeling I should check the description. They were boasting about their flagship product.

Ashley Madison.

Needless to say, I burst out laughing and moved on.

Today:

Was training a model for an hour on paid GPU after which it showed a deprecation error and crashed my Jupyter notebook.

What is it about robot collected data that makes researchers so anal? Like, dude, it's not even personal data. It's literally robot's joint motor recordings. It's not nuclear data, so why the fuck do you protect it like your life and your country depend on it?

I hope you get fisted by that data every night and how it will end up in oblivion sooner because you didn't publish it. You asshole.

How many of you guys are developers who are transitioning to data science and machine learning? 🤔

I started iOS app dev thinking there’s good scope in the future,now I hear people saying app dev is gonna die switch to data science. Tf

I spent 2 hours on Python logging system instead of doing real data science.
Really this module feels poorly designed.

In a mediocre job since last 4 years with just a developer designation, but we simply use Java based tools and products to do most of our job. Need to study for a change in job.

Literally every morning:
"Let me see what to focus on: JavaScript/Java/C++/Python/Data science/ML/AI/NodeJS/...." The list goes on.

Every Evening:
"I need to focus on Data Structures and Algorithms. So let me stick to Java for now."

Next Day:
Back to the same routine.

2 months have passed and I have not seriously studied or concentrated on anything :(

Depressed.

what's your expirience with business intelligence / data science? Do your company has a own department for it?
If so how does it affect you?

I need to buy a laptop to replace my 5 year old one. My work is mostly in data science. My budget is really flexible. Any suggestions?

Learn modern Javascript, Python, data science, machine learning, to catch up and not be outdated

Been working on a new project for the last couple of weeks. New client with a big name, probably lots of money for the company I work for, plus a nice bonus for myself.

But our technical referent....... Goddammit. PhD in computer science, and he probably. approved our project outline. 3 days in development, the basic features of the applications are there for him to see (yay. Agile.), and guess what? We need to change the user roles hierarchy we had agreed on. Oh, and that shouldn't be treated as extra development, it's obviously a bug! Also, these features he never talked about and never have been in the project? That's also a bug! That thing I couldn't start working on before yesterday because I was still waiting the specs from him? It should've been ready a week ago, it's a bug that it's not there! Also, he notes how he could've developes it within 40 minutes and offered to sens us the code to implement directly in our application, or he may even do so himself.... Ah, I forgot to say, he has no idea on what language we are developing the app. He said he didn't care many times so far.

But the best part? Yesterday he signales an outstanding bug: some data has been changed without anyone interacting. It was a bug! And it was costing them moneeeeey (on a dev server)! Ok, let's dig in, it may really be a bug this time, I did update the code and... Wait, what? Someone actually did update a new file? ...Oh my Anubis. HE did replace the file a few minutes before and tried to make it look like a bug! ..May as well double check. So, 15 minutes later I answer to his e-mail, saying that 4 files have been compromised by a user account with admin privileges (not mentioning I knee it was him)... And 3 minutes later he answered me. It was a message full of anger, saying (oh Lord) it was a bug! If a user can upload a new file, it's the application's fault for not blocking him (except, users ARE supposed to upload files, and admins have been requestes to be able to circumvent any kind of restriction)! Then he added how lucky I was, becausw "the issue resolved itself and the data was back, and we shouldn't waste any more yime.on thos". Let's check the logs again.... It'a true! HE UPLOADED THE ORIGINAL FILES BACK! He... He has no idea that logs do exist? A fucking PhD in computer science? He still believes no one knows it was him....... But... Why did he do that? It couldn't have been a mistake. Was he trying to troll me? Or... Or is he really that dense?

I was laughing my ass of there. But there's more! He actually phones my boss (who knew what had happened) to insult me! And to threaten not dwell on that issue anymore because "it's making them lose money". We were both speechless....

There's no way he's a PhD. Yet it's a legit piece of paper the one he has. Funny thing is, he actually manages to launch a couple of sort-of-nationally-popular webservices, and takes every opportunity to remember us how he built them from scratch and so he know what he's saying... But digging through google, you can easily find how he actually outsurced the development to Chinese companies while he "watched over their work" until he bought the code

Wait... Big ego, a decent amount of money... I'm starting to guess how he got his PhD. I also get why he's a "freelance consultant" and none of the place he worked for ever hired him again (couldn't even cover his own tracks)....

But I can't get his definition of "bug".
If it doesn't work as intended, it's a bug (ok)
If something he never communicated is not implemented, it's a bug (what.)
If development has been slowed because he failed to provide specs, it's a bug (uh?)
If he changes his own mind and wants to change a process, it's a bug it doesn't already work that way (ffs.)
If he doesn't understand or like something, it's a bug (i hopw he dies by sonic diarrhoea)

I'm just glad my boss isn't falling for him... If anything, we have enough info to accuse him of sabotage and delaying my work....

Ah, right. He also didn't get how to publish our application we needes access to the server he wantes us to deploy it on. Also, he doesn't understand why we have acces to the app's database and admin users created on the webapp don't. These are bugs (seriously his own words). Outstanding ones.

Just..... Ffs.

Also, sorry for the typos.

I am Graduate student of applied computer science. I am required to select my electives. Now i have to decide between Machine Learning (ML) and Data Visualization. My problem is Machine Learning is very theoretical subject and I have no background in ML in my undergrad. In data visualization, the course is more focused towards D3.js. Due to lack of basic knowledge i am having second thoughts of taking ML. However, this course will be offered in next Fall term. And i am also studying from Coursera to build my background till that time.

I know there is no question here but I need a second opinion from someone experienced. Also, please suggest any other resource that I should look into to build my background in ML.

I just received this.

"I'm just saying that one should be proud to be able to import libraries and call themselves Data Scientist who can apply machine learning."

What the actual fuck.

I have a course at my university about personal data and it feels more than a law course than a computer science one. I asked the teacher why do we have to be taught that subject and how would we be able to use what we learn in real life and she got triggered, telling me that with just by coding I won’t achieve anything and i have to learn more topics and if I didn’t want to be taught this subject why did i choose the university.
I just made a question you fuckin butthurt, chill the fuck out.

True that

Am I the only person here who thinks data science is awesome? 😬

Clustering high dimensional data - SOS!

I have to cluster documents. I computed the tf*idf, but I have ~45K docs with 28K words.
I did minibatch kmeans which works alright, but everything else runs forever. I need to compare 2 clustering algorithm, so I need at least another one that works. In this life time.
Suggestions?

Got some stickers for my kaggle data science club..😇😇😇😇😇

Am I Data Engineer or Software Development Engineer ?

I design the infrastructure for analytics data, and I build the infra entirely including an development. Except making reports out of the data.

What I'm supposed to be called ?
Data Engineer ?
Software Development Engineer ?

Definitely not an Data Scientist. Official designation given by company is Data Engineer II. But what I'm ?

Confused, someone help me please.

2018: Data Scientist = Stack overflow copy pasting: "I followed a 12-hour 'DS' course on Lynda!"

lm() # science

I want to do something data-science-y.
Gimme project ideas, and where can I get the data for it?

Also, not looking for machine learning, just basic data analysis stuff.

I'm bored.

In the next three months, if I said jackshit about data science personal projects, you have my permission to backhand me into oblivion.

Need to stay on my current track...

Data science

IEEE is full of shit! Why the fuck can't i download research papers when I have already paid for the subscription???
Fuckers, i didn't pay to view your old looking website!

I'm working as an intern in a company and i have another intern that i must supervise (it like internception) .here is my daily nightmare :
- To start this intern never google something she copy paste from my code and if she got an error she send me a screenshot . Once the error message clearly said "cannot call function from array" and even that she didn't know what's the problem (she was supposed to it on array items)
-Before we started working together she spent a week complaining that a sending email function didn't work for her so the manager called me to check what's her problem. She had an antivirus that blocked request via ssl port.all i had done is open the log file and read the errors.
- She had a function should iterate over an array and for each item check a condition this is a part of what she wrote :
For ($i=0;count($categories);$i++){
if ($getrelativepath=null)
{
....etc other​ stuff she copy pasted.
Ps: the name of the function that she must call on array items is getRelativePath

- she wrote once
$response=array();
for (...){
array_push($response,$data[$i]);
return $response;}
She thought the function can iterate and return response at the same time.
- we are working on a website and she told me she doesn't know how to code Javascript and jquery (she think it's a language) and she never knew what ajax is.
- without mentioning the hundreds of empty spaces and multiple empty divs in html .
This year she'll become a computer science engineer .

Hello.
I am a student of Computer Science Engineering (Bachelor of Technology). I am 3 years into this 4-year course. I am strong in Data structures and Algorithms, and passionate to add more stuff to this list.

I am really done with this University coursework, and want to explore more (specifically, want to do something that is practical, and matters). I, obviously cannot leave the Uni, but I want to make my time at home more productive. Not just to me, but everyone.

But:
1. I don't know where to start.
2. I teach myself everything, and hence, there is much difference between what I know and what people need, and I'm kind of scared of ruining/wasting other's time.

If there is someone out here who has the time out of his/her busy schedule to guide and set me on a path, please do help me. It's getting weird in my head.

Languages I know: C(took a 1-year course), Python, JavaScript [learning JAVA], Oracle, Visual Basic

Things I have done before:
* Developed a fullstack website for Indian Railways (going live in May 2019) [used Python for back end]

I have a sincere need from within to do this, and I am going to learn whatever more I need to, in order to fulfill your requirements. Please just show me WHAT and from WHERE.

Kindly do get back.

I am studying an online data science course in python offered by Microsoft.
The instructor uses Surface book and also has a Mac book on his desk for backup because windows.
He uses chrome all the time for his explanation to run jupyter.
The point is even they know their tech is shit but still "Windows has set your default browser to edge" - this happens
¯\_(ツ)_/⁻

Anybody have any great tutorials about web scraping with python? The data science courses I took only covered maipulauting and visualizing data not getting it.

The gap of data science in industry and academia is so large. As a data scientist in a large financial company, I see that people are still using traditional models such as linear regression and SVM, while people in academia keep inventing new concepts and techniques such as deep learning.

I am not saying that we should completely embrace deep learning, or stick to classic methods. But I just feel so surprised that the gap is so large...Sometimes I am even thinking whether I am doing the right "data science"...

Hey guys any advice/study plan for a 22 year old C++ Server developer to transition into data science ?

P.s. currently based in London

Monday marks the beginning of a new month. In the new month, I turn a year older. As I steer further and further away from "youthfulness", I intend on starting a new chapter in my life.

Sunday 28th Feb is the last day I put any investment towards my "white-collar" professional career. Beginning March 1st, all my energy is going towards my entrepreneurial career instead.

This means that instead of learning that Huawei HCIA networking certification that I hate, I'm going to continue learning Docker (then Kubernetes) which I intend to use on my first product & the many more to come. Instead of studying the horrifyingly boring Data Science course, I'm instead going to put my energy behind understanding GCP & AWS, with the hopes of eventually getting certified.

Basically, I'm going to put all my energy into learning technologies that interest me AND have the potential to help me deliver on my entrepreneurial journey faster & better, rather than studying certifications which everyone believe will make me more employable.

Unfortunately, there aren't that many jobs going around & I'm currently under a year long internship with extremely smart graduates (a valedictorian included). The joke is we're earning $250 a month and have zero hope of getting employed anytime soon. I'm tired of going down this path.

I'm glad I got my degree in CS, now onto creating job opportunities for my fellow peers!

PS: Expect rants about my entrepreneurship challenges, and celebrations about my entrepreneurship wins!

So after a couple years working at this company, the faculty I graduated from introduced a postgrad (masters) course in data science. I was always interested in the field, so I said fuck it and jumped the bandwagon...

I'm starting this week, I'm kinda worried my knowledge of maths and statistics got a bit rusty since graduation. Also most students there will be 4 years younger than me, and I'll keep doing my full-time job at the same time. But hey, at least I'll break the routine, and I can always quit my job if it turns out I can't do both, so whatever.

That's all folks!

I'm a dev lead. I'm trying to consolidate a squad. There's a senior in it preaching the dream of career climbing and LinkedIn optimization.

Now all interns want to switch squads. I'm all for personal growth... but now everyone wants to be everything at once and productivity stalled. The job descriptions for our squad were perfectly clear, there's tons of different tech stacks... We can build a lot of cool things in this scope, and now no one can see them because Data Science or Data Engineering or Front-end is suddenly sparkling.

I'm tired.

Story of a data scientist 😞

Spends 80% of the time trying to identify features, while the rest 20% worrying about identifying the features 😭

Learning Data Science to predict the possible ending(s) of GOT.
Hell Yeah

A bunch of people who know a bunch of frameworks but lack intrinsic understanding CS, therefore bringing the degeneration of overall quality.

This ultimately leads to:

1- shitty dev jobs (the future blue-collar job, always in risk to be automated)
OR
2- super high-end dev jobs (most likely AI engineering, devops, data science)

As generations pass, this shapes out a whole new world economy.

Lots of good suggestions up in here.

My personal prefference:

Such as there are governing bodies indiciating how a programming language evolves and a web consortium...there should be a computer science one. That dictates fundamental approaches covering everything that belongs to this wonderful branch of science. Everything from math to differenr scientific branches all the way down to turtles. And for it to be standarized and updated. Indeed, if you want to spend your entire existence gobbling js in the form of web sites then that is fine, but you should have sufficient knowledge to branch out into more academic pursuits if required.

Also, updated tools would be better, every aspiring computer scientist shall be able to navigate through all major operating systems and programming environments regardless of their beliefs and or prefferences and schools should provide said environments in their classrooms.

Data Strucrutes and Algorithms should be a must. Software engineering principles should be a must. Calculus, Algebra and Statistics as well as Physica should be a must.
And succesfully navigating over different engineering areas should be a must.

Not to cleanse the industry. Fuck your elitist mentality. If you think that programming is a sacred art that should exclude people then I really hope you fucking disapear from existence. No, not to cleanse. But to expand the industry and maybe show people that there is more than fucking around between node modules or gemsets.

Peace pendejos

**drops your mom's fatass...i mean mic**

Damn. I am so blessed to have friends that i have. 90% of them don't even care if you live or die (60% of them would be the first to throw me in fire if that's benefitting to them) remaining 10% would be someone that slightly care, but will move on pretty quickly.

But the best thing about 1 of them is that he is bluntly honest , and willing to share his opinion.
Today we were just talking about stuff when i see this placement offer in my mail.

I have been recently feeling bad about my grades, my choice of persuing android , my choice of leaving out many other techs (like web dev or data sciences , whose jobs are coming in so much number in our college) and data structures, and my fear of not getting a good career start.

This guy is also like me in some aspects. He is also not doing any extreme level competitive programming. He doesn't even know android , web dev, ai/ml or other buzz words. He is just good in college subjects. But the fascinating thing about him,is that he is so calm about all of this! I am losing my nuts everyday my month of graduation , aug2020 is coming . And he is so peaceful about this??

So i tried discussing this issue with him .Let me share a few of his points. Note that we both are lower middle class family children in an awful, no opportunity college.

He : "You know i feel myself to be better than most of our classmates. When i see around , i don't see even 10 of them taking studies seriously. Everyone is here because of the opportunity. I... Love computer science. I never keep myself free at home. I like to learn about how stuff works, these networking, the router, i really like to learn."

"That's why i dont fear. Whatever the worst happens , i have a believe that i will get some job. Maybe later, maybe later than all of you , but i will. Its not a problem."

me: "but you are not doing anything bro! I am not doing anything ! So what if our college mates suck , Everyone out there is pulling their hairs out learning data structures, Blockchain, ai ml , hell of shit. But we are not! Why aren't you scared bro? Remember the goldman sach test you gave ? You were never able to solve beyond one question. How did you feel man? And didn't you thought maybe if i gave a year to that , i will be good enough? Don't you too want a good package bro? Everyone's getting placed at good numbers."

Him : "Again, its your thoughts that i am not doing things. I am happy learning at my own pace. Its my belief that i should be learning about networking and how hardware works first , then only its okay to learn about programming and ai ml stuff. I am not going to feel scared and start learning multiple things that i don't even wanna learn now."

"My point is whatever i am doing now, if its related to computers , then someday its gonna help me.
And i am learning ds too , very less at a time. Ds algo are things for people with extreme knowledge. We could have cleared goldman sachs if we had started learning all this stuff from 1st year, spend 2-3 years in it and then maybe we could have solved 2 -3 questions. I regret that a little, but no one told us that we should be doing this."

"And if i tell you my honest thoughts now, you ar better off without it. You are the only guy among us with good knowledge of android , you have been doing that for last 2 years. Maybe you will get better opportunity with android then with ds/algo."

"You know when i felt happy? When we gave our first placement test at sopra. I was thinking of going there all dumb. But at 11 am in night i casually told my brother about this ,and he said that its a good company. So i started studying a little and next day i sat for placement. And i could not believe myself when they told me that am selected. I was shit scared that night, when my dad came and said " you don't even want that job. Be happy that you passed it on your own". And then i slept peacefully that night and gave the most awesome interview the next day."

"Thus now i am confident that wherever my level of skills are, it is enough to get into a job . Maybe not the goldman sachs ,but i will do well enough with a smaller job too."

"Bro you don't even know... All my school mates are getting packages of 8LPA, 15LPA, 35LPA. You see they are getting that because they already won a race. They are all in better colleges and companies which come there, they will take them no matter what (because those companies want to associate themselves with their college tags). But if worst comes to worst, i won't be worried even if i have to go take 4lpa as job offer in sopra"

Damn you Aman Gupta. Love you from all my heart. Thanks for calming me down and making me realise that its okay to be average

I work with statistics/data analysis and web development. I study these subjects for almost a decade and now I have 4 years of practical experience.

This information is on my LinkedIn profile and from time to time tech recruiters contact me wanting to have an interview. I always accept because I find it a great way to practice interviews and talking in English, as it isn't my native language.

A remark that I always make to my colleagues wanting to start doing data analysis related work is that it may seem similar to development, but it's not. When you develop, your code work or not. It may be ugly, it may be full of security problems, but you almost always have a clear indication if things are functioning. It's possible to more or less correlate experience using a programming language with knowing how to develop.

Data science is different. You have to know what you are doing because the code will run even if you are doing something totally wrong. You have to know how to interpret the results and judge if they make sense. For this the mathematics and theory behind is as important as the programming language you use.

Ok, so I go to my first interview for a data science position. Then I discover that I will be interview by... a psychologist. A particularly old one. Yeah. Great start.

She proceeds to go through the most boring checklist of questions I ever saw. The first one? "Do you know Python?". At this point I'm questioning myself why I agreed to be interviewed. A few minutes later, a super cringy one: "Can you tell me an example of your amazing analytics skills?". I then proceed to explain what I wrote in the last two paragraphs to her. At this point is clear that she has no idea of what data science is and the company probably googled what they should expect from a candidate.

20 minutes later and the interview is over. A few days later I receive an email saying that I was not selected to continue with the recruitment process because I don't have enough experience.

In summary: an old psychologist with no idea on how data science works says I don't have experience on the subject based on a checklist that they probably google. The interview lasted less than 30 minutes.

Two weeks later another company interviews me, I gave basically the same answers and they absolutely liked what they heard. Since that day I stopped trying to understand what is expected from you on interviews.

!rant
Started Data Science course on big data universuty. The outcomes are heavily dependent on domain experts/stakeholders!!! Since all the answers are false positives and need to decide what make sense with the help of domain experts. And most of the Data scientists are not from programming background, they are domain experts who turned into Data scientists. Thoughts if I should continue with learning big data/data science, knowing that I have knowledge in information retrieval and search engines.

Today I came across a very strange thing or a coincidence(maybe).
I was working on my predictive analytics project and I had registered on Kaggle(repository for datasets) long back and was searching on how to scrape websites, as I couldn't find any relevant dataset. So, while I was searching for ways to scrape a website, suddenly after visiting a few websites, I get notifications of a new email. And it was from Kaggle with the subject line
"How to Scrape a Tidy Dataset for Analysis"
Now I don't how to feel about it. Mixed feelings! It is either a wild coincidence, or Kaggle is tracking all the pages visited by the user. The latter makes more sense. By the way, Kaggle wasn't open in any of the tabs on my browser.

!rant

You knoe, my first insights into computer programming came out of spite. I thought windows to be garbage and wanted to blame someone other than myself for my machine constantly crashing. Thus I discovered programming and down the rabbit hole. But my interest in computer science came from videogames. Portal in particular. I found the idea of GlaDOS fascinating and thought that artificial intelligence would be something interesting to research. The web then gave me Lisp, and boy was the language different from all the other languages I went through. I remember feeling super excited when Racket, Common Lisp and eventually Clojure would help me discover many different ideas. Every time I work with reduce or maps or stuff like that in other languages I always thank languages such as Clojure for having me descipher different ways of manipulating data to get a result. To this day I feel sad whenever I find that my languages do not have the same constructs that Clojure has. I mention Clojure because it is my favorite flavor of Lisp. But one thing that always remains grest to me is firing up Emacs and plugin my code to Slime or Cider and see the repl pop up waiting for something to happen. This feeling is beautiful.

Please guys, if you have not tried it, do so! You might hate it at first or push it aside. But trust me, once you get it it will really change the way you think about programming in general. Try the great Clojure for the Brave and true, and go through the third chapter succesfully. If you do not like Lisp by them then no harm done! You would at least know that there are other options.

Now, here are some cool things:
For the standard implementation, try Common Lisp

For a more modern Scheme, try Racket or Guile

For targetting the JVM try Clojure (more akin to Common Lisp) or Kawa (scheme like)

For the python AST get Hy (pun totally intended)

For JS try Clojurescript

For emacs scripting try Emacs Lisp (has way too many disasdvantages but still relatively close to common lisp)

Honorific mention to more pure functional programming languages for Haskell, F#, Ocaml.

Also worth mentioning that Js , Ruby and Python have great functional constructs.

(println "you will not regret it!")

Anything related to UIs or data science
That, working with a spaghetti codebase, or unhelpful and not nice teammates

Just developer things ...

Source - Kaggle Cannabis Dataset

What are some job possibilities for software engineers that are a bit more challenging?

Software Engineering just became routine and with all the hin abstractions during the past years it’s not really a complex job anymore.

Thoughtful about data science but I think I’d get bored with that as well after a few years.

Looking for ideas with:
- technical skills
- have a lot if responsibility
- at least same pay

Would be interested in e.g. investment banking but that seems far out of my league (education wise)..

That's cool I think yes / not :

We have been at a university of applied sciences today with our class.
It was kind of ok. I did expect more surprising things there. The whole building was smaller than our college (not the same as in the US). The rooms, where profs tell you things with a series of rows of seats, were dirty and pretty much used to the point that the seats are about to break easily.
I was expecting the university to be kind of the same as the universities you see in the movies lol.
It could have at least been bigger than our college and more "modern" than our school.
[...]
Anyways, let us get to the point here.
We were first in the foyer and afterwards in their main lecture hall.
We were introduced to the day's plans by a team of engaged students from different study programs and the president of the professors. Yada yada yada.
We got the full program in each room and each individual time span filled with study programs on a sheet of paper.
I did select pharmacy, media production, architecture, data science, applied computer science, computer engineering, mechanical engineering and future energies.
Pharmacy and data science were the most interesting study programs to me. I have asked one of the professors if deep learning was a topic for bachelor students, as well.
He said that that is only the usual case for people who got a promotion.
As an example he told me that yesterday he was at a conference hall with 10.000 people in which he gave a talk about deep learning. "Most of them were professors" he said. "Since this study program is new, it might change in a few years" he added to his conversation.

It is quite hard having to decide now.
Geo informatics and Aerospace Engineering did sound interesting, too.
There are a lot of things I would like to study at the same time haha.

Idk if I should just pick mechanical engineering first and add one or two after it to it. But that would take a lot of time. Geez.

Just bombed my first quiz in Data structures & algorithms on induction. Fuck.
And the midterm is a week from today.

Come to a weekly deep learning meet up this morning 8.30AM. The event start at 10 AM.  While waiting I read news and play some game. As time near 10 o'clock I had strange feeling: The guest room so quiet, just me and 2 security guy.

Okay I think comittee that run this event a bit late because of traffc jam and I wait more. In the end the committee didn’t even show until 10.30AM. Later I found on another data science group today's event is postponed and I go home.

WHY DIDNT YOU GUYS MAKE ANNOUNCEMENT ON SLACK? YOU WASTE MY TIME WAITING 2 HOURS

I know it's quite soon to think about it, but: next year I'll graduate in cs and I'm still not sure about what to do after:
- I could just stop studying and start working
- study for another two years on a specialistic degree in Italy
- go take a two years master in machine learning, data science and ai in Finland

Which of these makes more sense?

"""Itty bitty frustration"""

# wannabe mode on

import sklearn
iris_dataset = sklearn.datasets.load_iris()

Today is my last coursework submission. I've touched on a lot of topics I never thought I would be able to do/even thought about. I like data science, but I just don't feel so passionate about it now. I just want to ditch coursework and do cool shit, but I never find the time.

Anyone else get somewhat "fed up" of what they've studied? How did you get through it? Just do the "cool shit"?

This happened when I was in the first semester of my study (I'm currently studying Computer Science).

Didn't understand anything, never learned to code before. My first "project" from my lecturer was to write a mini-journal together with two friends of mine (which weren't able to code either) about the link of VR use with the increase/decrease of the user's heart rate.
We didn't find any way to record the user's heart rate automatically and periodically. The deadline was getting closer but thankfully we found an android app that can be used to detect someone's heart rate with the user's finger pressed onto the camera. Sadly the app can't be used to record the data periodically (it can only show us the average heart rate). We told my lecturer (who is supossed to "guide" us here) about the problem and asked him for solutions.
He told us to "modify the .apk and connect it to a database".
At this point, we didn't even know how to make a database, let alone "modify the .apk".

In the end, we used an oximeter, recorded it, and listed the results manually. 😂

Let’s just face it. Once the majority of people understand, data science (machine learning on custom behaviour mostly) will be the most disgusted job in the world. Mind boggling! You get shot right between the eye by doing it.

ATTENTION PLEASE! Important announcement following:

Please check your interface implementations for correct byteorder according specification BEFORE YOU START COMPLAINING ABOUT DATA FAILURES ON EXCHANGING DATA.

Freakin hell, if I'd get some money for every byte order mismatch on testing interfaces, I'd be a be a billionaire.

And why are all those highlevel I-know-every-fucking-framework developer incapable of checking the real memory content of a datatype, and the real data content on the interface even if you tell them that their byte order is obviously wrong?
No, your system is not the centre of the universe and I don't care how you get your less-than-32bit-datatypes-are-for-assembler-usage-frameworks to change byteorder. It's not rocket science, if there's no ready-to-use-function then write those 4 lines yourself.

Next time I get to specify an interface I'll go for mixed-endian, just to make sure everybody involved knows the concepts of endianess afterwards.

Hey DevRant!

Not really a rant but a question:
I just got accepted into a coding bootcamp. Have any of you been involved in one? How was it? What would you do to make it a better experience throughout? Any advice or suggestions?

It's full time, six months long and I start in October and I want to make sure I make the most of the experience and absorb as much as possible.

I'm super happy that the course appears to be less just learning JavaScript and more involved in the Computer Science side of things, even including bits about C/C++, distributed systems, algorithms and data structures, software design/testing, cryptography, database management, and computer architecture. It also, of course, covers tons of resume work, interview practice, and networking.

Thanks!

Hi guys i need to vent with you. I live in Portugal.I graduated in computer science with 16 (0-20). While I was graduating I worked in my university programming for iot and big data fields. I have one article published in a scientific journal. I was looking for a job in my country, and I have gone to 5 interviews where they wanted to pay me about 700 maximum because they say this is my first job. The house rent is about 300 and with food and daily needs I can't have money to simple things in life. It's sad that companies don't give value to people they just think in money. It's sad that our work and knowledge is not valued...

hey guys, im a total noob and new to this field. this post is open for criticism and suggestions.

so i wanna forecast slippage (dependent) using the % WT Plan (planned work, the predictor).

i get -0.35 for correlation.

and im using knn regression

how does this look to you? insights and comments are appreciated. thanks!

Never underestimate the power of a misplaced static in your Java to totally fuck you over.

I was busy with my computer science project for the semester where we have to implement a Sudoku solver without backtracking by using graph theory.

So there I was writing my data structure for the grid when for some reason all the cells were initialized with the value 8.

After a whole night of debugging I was about to start over when I realized I had made my array static.

And boom, it works. WTF!!!!!!!

Hey all, can you guys recommend some great books on database theory and design. Something aimed towards intermediate towards advanced. It doesn't have to be sql, I just want to learn how to make a kick a#@ db.
Thanks!!!!!!!