My 6 year old has been learning about trees at school, and had questions for me. Needless to say, she now has the best understanding of data structures in her class, and I expect parents evening will be "interesting"

Real life application of Data Structures :p

After listening to two of our senior devs play ping pong with a new member of our team for TWO DAYS!
DevA: "Try this.."
Junior: "Didn't work"
DevB: "Try that .."
Junior: "Still not working"

I ask..
Me:"What is the problem?"
Few ums...uhs..awkward seconds of silence

Junior: "App is really slow. Takes several seconds to launch and searching either crashes or takes a really long time."
DevA: "We've isolated the issue with Entity Framework. That application was written back when we used VS2010. Since that application isn't used very often, no one has had to update it since."
DevB: "Weird part is the app takes up over 3 gigs of ram. Its obviously a caching issue. We might have to open up a ticket with Microsoft."
Me: "Or remove EF and use ADO."
DevB: "That would be way too much work. The app is supposed to be fully deprecated and replaced this year."
Me: "Three of you for the past two days seems like a lot of work. If EF is the problem, you remove EF."
DevA: "The solution is way too complicated for that. There are 5 projects and 3 of those have circular dependencies. Its a mess."
DevB: "No fracking kidding...if it were written correctly the first time. There aren't even any fracking tests."
Me:"Pretty sure there are only two tables involved, maybe 3 stored procedures. A simple CRUD app like this should be fairly straight forward."
DevB: "Can't re-write the application, company won't allow it. A redesign of this magnitute could take months. If we can't fix the LINQ query, we'll going to have the DBAs change the structures to make the application faster. I don't see any other way."

Holy frack...he didn't just say that.

Over my lunch hour, I strip down the WPF application to the basics (too much to write about, but the included projects only had one or two files), and created an integration test for refactoring the data access to use ADO. After all the tests and EF removed, the app starts up instantly and searches are also instant. Didn't click through all the UI, but the basics worked.

Sat with Junior, pointed out my changes (the 'why' behind the 'what') ...and he how he could write unit tests around the ViewModel behavior in the UI (and making any changes to the data access as needed).

Today's standup:
Junior: "Employee app is fixed. Had some help removing Entity Framework and how it starts up fast and and searches are instant. Going to write unit tests today to verify the UI behaivor. I'll be able to deploy the application tomorrow."
DevA: "What?! No way! You did all that yesterday?"
Me: "I removed the Entity Framework over my lunch hour. Like I said, its basic CRUD and mostly in stored procedures. All the data points are covered by integration tests, but didn't have time for the unit tests. It's likely I broke some UI behavior, but the unit tests should catch those."
DevB: "I was going to do that today. I knew taking out Entity Framework wouldn't be a big deal."

Holy fracking frack. You fracking lying SOB. Deeeep breath...ahhh...thanks devRant. Flame thrower event diverted.

Food for thought

During the second year of my graduation we had a subject called​ C & Data Structures. This asshole of a teacher (who taught programming by just reading the programs out of the textbook ) came to somehow know that I had learnt C & was good at it (some student had gossiped about me in front of him). Everyday when he came in for the lecture he used to call my name & say - "You think you are very smart please come in front & teach C to everyone" for no apparent reason. (I had never showed him that I was good in programming). For almost complete semester I kept silence & he used to laugh & keep me standing for the complete lecture. But one day I was particularly not in a very good mood & he came & said the same thing. I went & taught for the whole lecture & the whole class applauded at the end. The look on his face was priceless 🤣

Shakira as a programmer : Heaps don't lie

I FUCKING MADE IT GUYS! I JUST PASSED THE HARDEST COURSE AT UNIVERSITY WHICH IS ABOUT DATA STRUCTURES AND ALGORITHMS! I DRAGGED THIS WITH ME A WHOLE YEAR AND I JUST GOT THE NOTIFICATION THAT I MADE IT. I'M SO FUCKING HAPPY GUYS I CANT BELIEVE IT!!!!!!

Data Structures...

I always like to approach a new coding project by concentrating on the data model first. I've seen a lot of projects built on extremely convoluted database structures and it really hurts because it makes it hard to add new features to the project.

So I look at the requirements of the new project and try to come up with a basic data model. Then I like to think about what logical future additions to the project could be. And using those, I try to see if the data model is flexible enough to be able to handle those additions fairly easily or if complex migrations or hacks would be needed to account for new use cases and features.

I think once you have a solid data structure and database technology, planning out an API or rest of the software is pretty straight forward. I like to create reusable pieces of middleware early on in the project which makes it easy to apply consistent functionality with ease to different API endpoints.

Hell yeah

You are good in programming and data structures.

But we won't select you because you couldn't solve the puzzle. 😑

"Hey, can you help me with our Algorithms & Data Structures task? I tried to tranlate my problem with Google translator but I can not select the option to translate into Java."

I was speechless when a girl actually asked me that

Anyone looking for something interesting to do???

Step 1) understand how basic circuitry works on a bread board nothing too fancy. ( Implement NAND, AND, ADDER, SUBTRACTOR)

Step 2) learn about microprocessors and how OS works

Step 3) learn assembly

Step 4)write a basic assembler and understand how loaders and linkers works !

Step 5) write a kernel with very basic features like memory management and process management and some drivers for IO

Step 5) write an emulator for some simple systems .! ex chip-8.

Step 6) read about compiler theory and automata

Step 7) write a basic Python interpreter that compiles (not interpreter) to native assembly.

Step 8) implement TCP stack .

Step 9) learn as much as u can about complexity measurement ), data structures and algorithms using C or C++ it's very important ( familiarity with pointers and thus computer memory )

Step 10) learn any high level language of choice like Python or Ruby.

Step 11) stop debating over tabs vs spaces , emacs vs vim , angular vs vue, php vs Python , OOps vs procedular vs functional ( just know about all of them and when to use but don't fucking debate over which one is superior )..

Step 12) live happily and be healthy.

solving algorithms and ds problems :-

In C++ - I hate pointers.
In Java - I miss pointers

Biggest scaling challenge?
The imaginary scaling issues from clients.

Client : How do you cope with data that's a billion times bigger than our current data set? Can you handle that? How much longer will it take to access some data then?

I could then give a speech about optimizing internal data structures and access algorithms that work with O(log n) complexity, but that wouldn't help, non-tech people will not understand that.
And telling someone, the system will be outdated and hopefully been replaced when that amount of data is reached, would be misinterpreted as "Our system can not handle it".

So the usual answer is: "No problem, our algorithms are optimized so they can handle any amount of data"

Good use of data structures book.

No caption! Its itself explanatory 😂

"Hey nephew, why doesn't the FB app work. It shows blank white boxes?"
- It can't connect or something? (I stopped using the FB app since 2013.)

"What is this safe mode that appeared on my phone?!"
- I don't know. I don't hack my smartphone that much. Well, I actually do have a customised ROM. But stop! I'm pecking my keyboard most of the time.

"Which of my files should I delete?"
- Am I supposed to know?

"Where did my Microsoft Word Doc1.docx go?"
- It lets you choose the location before you hit save.

"What is 1MB?"
- Search these concepts on Google. (some of us did not have access to the Internet when we learned to do basic computer operations as curious kids.)

"What should I search?"
- ...

"My computer doesn't work.. My phone has a virus. Do you think this PC they are selling me has a good spec? Is this Video Card and RAM good?"
- I'm a programmer. I write code. I think algorithmically and solve programming problems efficiently. I analyse concepts such as abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development. No, I will not fix your PC.

Was recently phone interviewed by a recruiter that asked "So do you know data structures and algorithms?" I replied "That's like asking someone if they know Mathematics - can you be a bit more specific?"

(c) Creative Tim. Worth to read pips!

How to land a programming job

1. ABC (Always Be Coding) - The more you code, the better you'll get.

2. Master at least one multi-paradigm language - Some good candidates are C#, C++, Java, PHP, Python, and Ruby.

3. Re-invent the wheel - You should implement the most common data structures in your language choice.

4. Solve word problems - Pick those that test your ability to implement recursive, pattern-matching, greedy, dynamic programming, and graph problems

5. Make coding easy - At least, make it look easy.

6. Be passionate - If you don't care, then nobody else will.

7. Don't make assumptions - Ask questions if you're not sure.

Our Algorithms and Data Structures lecturer would have died on the spot if you showed him code like that...

Data structures.... The easy way....

Four semesters in. As a class we’ve learned Java, SQL, HTML/CSS, JavaScript, C++, C#, and a small amount of PHP

We’ve built databases, websites, apps for phone and desktop, and we’ve toyed with game development in unity

We’ve used multiple IDE’s with differing pros and cons, virtual machines, server development stacks (XAMPP), data structures, and we’ve used multiple sorting algorithms to learn their differences.

Some things on here are immensely more difficult than others. If at 4 semesters in you still don’t know how to AT LEAST google your issues for 10 minutes or even READ THE DAMN BOOK, then please don’t bother asking TA’s for help we have our own assignments to do and can’t afford spend an hour working with you to fix your code while you just ignore our suggestions

Four semesters in you should know where to find help online and if that doesn’t work, how to ask for and accept help. If you can’t then I’m sorry. I’m going to spend my time helping others, before I waste my time trying to help you

I want to thank every Indian computer scientist on Youtube. Because of these guys I passed my Algorithms and Data Structures Exam.

Normal person in an elevator:
- gets in
- pushes the floor number
- patiently waits
- gets out

Programmer in an elevator:
- gets in
- pushes the floor number
- thinks about how elevators are programmed, what the data structures would look like.
- regrets his life decisions 😂
- gets out

Sounds legit! 🤣

I think my kids would be bullied at school when they proudly say that roots of a tree are at the top.

Client: please be sure to let us know with enough notice if you plan on taking any time off so we can anticipate how to operate during your absence.

Me to client 4 months before vacation: "I’m going to be on vacation in July for such amount of time".
Client: OK thanks

Client 3 months before vacation: are you taking any time off this summer?
Me: yeah I’m taking such amount of time in July.
Client: Ok

Client 2 months before vacation: are you taking any time off this summer.
Me: yeah I’m taking such amount of time in July.
Client: Ok

Client a month before vacation: wait you’re taking time off this summer?
Me: yeah, in July.
Client: oh, we need to start figuring out how to manage your absence.

…client has enough time to figure things out.
——-

Client two weeks ago: we’re switching you to a another project where you’ll be replacing someone who’s leaving; and you’ll be developing alone. You’ll be working closely with our software architect. He’ll be the one who can answer all your questions.
Me totally lost on new project as it’s barely documented, sql tables are a mess with barely any relations between them and data structures are totally inconsistent. Supposed to be getting info from partner APIs but I can’t test them and don’t know exactly what data to expect. Only the software architect has the necessary knowledge.

Client a week ago: hey don’t hesitate to reach out to us if you have any questions. We can’t afford to fall behind from schedule.
Me: oh don’t worry, I’m already flooding your guy with questions.

Me last Monday to client: hey do you know what’s up with your architect? I’ve been waiting for him to answer some important questions and it’s going to be hard to move forward without him getting back to me.
Client: you’re telling us you’re not going to be able to move forward efficiently until our architect gets back from vacation in two weeks?
Me: wait, he’s on vacation?
(on the inside: when the fuck were you guys planning on telling me he would be gone???)

True fact!

Had my practical exam yesterday on Data Structures using C.
Had included this in my code
if(!count)
break;

Examiner: What type is count?
Me: Sir, it's an integer.
Then he asked me what was not expected.
Examiner: What does this exclamatory mark do?
In my mind: Now's the right time for the world to end. 😛

So I had a fun week.

It started off with my boss replying to a co-workers email where he sent his new bank account, saying he doesn't need it untill we close off some baddly planned projects, meaning no paycheck.

Needless to say we were working night and days including weekends on it and put our best into it.

For the next part I need to explain a little background. We have this old legacy system I'm working with for the past 3 years. I keet raising the red flag we need a new one. Nothing happened. So every time I worked with it I kept thinking how to improve the parts. Almost two years went into thinking and planning the new system untill I got a green light. It was most satisfying - the day I got to build something good and awesome. I drew all the data structures, laid out the foundations and started building ontop of it. It was amazing and I was really proud of it. Then suddendly client wanted to see something and the decision was made we threw it together quickly with the old legacy system. It was on hold 'till then due to work overload.

Boss wrote me this week if I can put the project from git on a server, where he out sourced the completition into India where they will finish it. On thr question if they can't work on git, he replied: "should they?" -.-

To top it all up, I got a notice at the end of the week if I don't fill his shit time tracking system (that takes me one hour/day to insert all entries) by monday he'll deduct a sizable portion of my paycheck.

I AM WORKING FOR YOU ALL THE FUCKING TIME BECAUSE YOU LACK RESOURCES AND I THOUGHT A TEAM STICKS TOGETHER AND SAVES EACH OTHERS ASS! I DONT HAVE TIME TO ENTER YOUR FUCKING STUPID TIME ENTRIES IN YOUR FUCKING BUGGED SYSTEM EACH DAY ON TASKS THAT DON'T EVEN EXIST BITCH! MAKE IT BETTER FIRST!! OH! AND NO ONE IS MORE QUALIFIED TO FINISH THAT PROJECT THAN ME, I POURED MY FUCKING HEART INTO IT YOU PRICK!

woah.

That moment when you thought you've fortified yourself with enough RAM for the future (32GB) and Blender fails to work with a large project because...it runs out of memory (just in the loading phase, building them intermediate data structures pushes it over the edge I guess).

Fml.

It was kind of fascinating to watch the memory usage indicator creep up though. Morbid fascination.

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.

"binary tree" is the buzzword of data structures.

A dev team has been spending the past couple of weeks working on a 'generic rule engine' to validate a marketing process. The “Buy 5, get 10% off” kind of promotions.

The UI has all the great bits, drop-downs, various data lookups, etc etc..

What the dev is storing the database is the actual string representation FieldA=“Buy 5, get 10% off” that is “built” from the UI.

Might be OK, but now they want to apply that string to an actual order. Extract ‘5’, the word ‘Buy’ to apply to the purchase quantity rule, ‘10%’ and the word ‘off’ to subtract from the total.

Dev asked me:

Dev: “How can I use reflection to parse the string and determine what are integers, decimals, and percents?”
Me: “That sounds complicated. Why would you do that?”
Dev: “It’s only a string. Parsing it was easy. First we need to know how to extract numbers and be able to compare them.”
Me: “I’ve seen the data structures, wouldn’t it be easier to serialize the objects to JSON and store the string in the database? When you deserialize, you won’t have to parse or do any kind of reflection. You should try to keep the rule behavior as simple as possible. Developing your own tokenizer that relies on reflection and hoping the UI doesn’t change isn’t going to be reliable.”
Dev: “Tokens!...yea…tokens…that’s what we want. I’ll come up with a tokenizing algorithm that can utilize recursion and reflection to extract all the comparable data structures.”
Me: “Wow…uh…no, don’t do that. The UI already has to map the data, just make it easy on yourself and serialize that object. It’s like one line of code to serialize and deserialize.”
Dev: “I don’t know…sounds like magic. Using tokens seems like the more straightforward O-O approach. Thanks anyway.”

I probably getting too old to keep up with these kids, I have no idea what the frack he was talking about. Not sure if they are too smart or I’m too stupid/lazy. Either way, I keeping my name as far away from that project as possible.

My Data Structures and Algorithms sample midterm exam's instructions mentions "No Morse Code allowed"

Spend 14 hours a week studying more with my free time.

Things to be studied:

-discrete math
-data structures
-algorithms
-coding challenges
-problem defining
-abstraction
-other relevant maths

Other things I want to improve:

-confidence at work
-reaching out to teams with questions
-social skills
-time management
-enjoying the little things
-patience
-consistency (with everything above)

Last big thing would be being more conscious with what type of data/platforms I am digesting everyday. Just like a good diet I want to get in the habit of consuming “good” useful content that’s thought provoking or knowable rather than fast food social media carbs

Wish everyone a productive New Year!

Graduation day:

A guy presents a modified pathfinding algorithm based on a*, in Java.
Jumping to the conclusions, he says he tested the algorithm on a 128x128 graph based maze, but not larger because the program saturates his 4 GB ram pc.

One teacher (algorithms and data structures) literally jumps from the chair "you saturate 4gb of ram with a* on 128x128 graph?!"

Best graduation day ever lol

Remove all the outdated and unwanted topics which were taught during Indus Valley civilization like: 8080 microprocessor, Java 6, Software Testing principles etc. And add more interesting and realistic topics like: Algorithm design, graphs and other data structures, Java 8 (at least for now), big data, Basics about AI, etc.

A close friend of mine is in his third term in university studying software engineering, asked me how did I land my first job so quickly after graduation.

His question made me stop for few seconds and ask myself, how would my life would've been without Coursera , Udacity, codeacademy and css-tricks.

I literally spent 2 years wasting time in uni then I discovered these sites and started learning while studying just enough to pass subjects that really has no benefit for the future whatsoever.

Even with subjects like data structures and AI, which should be interesting, it was 40℅ theory and the practical part was to complement the theory part, it was never for real world examples.

Kinda feel bad for my friend because he'll end up feeling the same frustration I went through at university.

Even now a year after graduating I feel that the only benefit of my degree was legal.

When would this silly system change ? If university courses can be specialized like online courses wouldn't it bring better talent to the market? And why governments don't take action towards this?

brain: ABSTRACTION ABSTRACTION ABSTRACTION too much ABSTRACTION!

me: jeez calm down a lil i just deployed a boilerplate ember web app with cli tools with next to nothing amount of 'my' code.

b: YES U SUCKER THAT'S WHAT WENT WRONG U DON'T KNOW SHIT ABOUT THE LIL STUFF THAT HAPPENS BEHIND THE SCENES THE FUCK MAN U CALL YOURSELF A CS STUDENT YOU CAN'T EVEN WRITE A COMPILER YET

m: sooo remember when we were studying logic gates and binary conversions and you sigkilled all my threads cuz it was 'boring'?

b: why yes why do you ask

m: WELL that's where we'll end up again if you don't stop nagging me about going down. Trust me, I KNOW how to starve you and you'll beg me to use Python again. You start making advanced data structures in C and the next thing you know you're writing assembly code 'just for fun'.
I have a hackathon coming right up and I have to use a framework or my team loses the advantage. Are we good?

b: well if you put it that way...BUT AFTER THAT YOU'RE TAKING ME TO AN ALGORITHM SESSION

m: *eerily stares at the dusty book in the corner*
you... have a deal

In my first year of college right now, and on the first test we had to write some C# ConsoleApplications. We got instructions of what we have to taken as input, what we had to do with it and output it to the console.

I've tested them all and they all work correctly, which was the main objective. I have used the correct data structures, but I didn't get top mark. Instead, I got lower because "I didn't do it her way".

WELL F*CK YOU TOO!!! I hope this is not how every test/exam goes

Not learning data structures and algorithms. Not learning programming languages. Actually not learning anything to answer during a job interview.

I am more of a learn-while-you-do kind of guy. I never learn anything, instead just do it. Interviewers think I am useless because I know nothing. But I can get a job done, any kind of job done. I have no learning period, I can start working from first day in a all new language, in a all new IDE, in a all new OS.

I know nothing, and I learn nothing. I am a problem solver. You got a problem, I can solve it.

Why do people jump from c to python quickly. And all are about machine learning. Free days back my cousin asked me for books to learn python.
Trust me you have to learn c before python. People struggle going from python to c. But no ml, scripting,

And most importantly software engineering wtf?
Software engineering is how to run projects and it is compulsory to learn python and no mention of got it any other vcs, wtf?

What the hell is that type of college. Trust me I am no way saying python is weak, but for learning purpose the depth of language and concepts like pass by reference, memory leaks, pointers.

And learning algorithms, data structures, is more important than machine learning, trust me if you cannot model the data, get proper training data, testing data then you will get screewed up outputs. And then again every one who hype these kinds of stuff also think that ml with 100% accuracy is greater than 90% and overfit the data, test the model on training data. And mostly the will learn in college will be by hearting few formulas, that's it.

Learn a language (concepts in language) like then you will most languages are easy.

Cool cs programmer are born today😖

I found university very worthwhile, mainly for what it exposed me to that I wouldn’t have necessarily learned otherwise. University exposed me to a lot of knowledge which allowed me to discover the fields and concepts that really interested me. It also forced me to learn math, and I’ve come to really love mathematics, even though my knowledge is still not that deep. I really respect and appreciate math now that I have more than a superficial understanding of it.

CS-wise, the things that have been most useful in practice have been complexity, data structures, concurrency, and others, but complexity is probably the absolute most important thing to at least learn the basics of.

I would not say that university is a necessity though. You can absolutely get by teaching yourself, especially if you are disciplined/interested enough to keep doing it. The important thing is to learn *what* to learn.

Is obsidian a fucking joke?

Seriously, is it a joke? Why would you ever care so much about indexing literally everything, if the entire thing crashes and/or takes >5min to LITERALLY just open the fucking directory and/or (so help you) if that directory is full of projects/repos or whatever the fuck and the total size of said directory is like >5GB.

WHY THE FUCK WOULD YOU INDEX EVERYTHING? -- "Ohh obsidian's not supposed to be used a fully fledged IDE, ohh obsidian should just handle MD files and normal sized projects, ohh the plugins and ease-of-use" -- Fuck.

There's no fucking real reason to index everything, BY DEFAULT. You open a directory with Obsidian? Doesn't matter, it's 1 byte, it's 100GB, you get indexed. Deal with it. It will use LITERALLY every resource your computer has. I'm surprised it doesn't go galaxy brain and ping if any other computers/devices are on the network and then attempt to connect and use their hardware (obsidian can be like a node!).

How shit can you be at understanding basic data structures and algorithms, where you just revert to based google-chrome brain and let the FUCKING TEXT EDITOR -- OBSIDIAN IS A FUCKING TEXT EDITOR HOLY SHIT -- hog all conceivable memory.

I swear to <some-deity> if anyone fucking says "Ohhhhhhhh actually, it's not a text editor, it has plugins and features and shit, it does all dis cool stff", OR, "Ohhhhh actually, obsidian indexes things for a very specific/rationale/apt/pragmatic/academic reason" OR "ohhhh, I have 100 iphones, 1000 ipads and a trillion desktop computers that each have 256GB of memory, why you hating on obsidian?" then go kick rocks. The fucking lot of you. Are you fucking kidding me.

I am a firmware developer with 4 years experience. C and sometimes assembly is my bread and butter.

Like 2 years ago, I was really interested to make a switch to application development. Got referred by my friend to her startup.

But I was a bit rusty with my data structures, high level languages and interpersonal skills.

The first question was to find the number of occurences for each word in a paragraph. The language choice was Java. But I was allowed to use C++ since it was the closest relative to Java that I knew.

And I started implementing a binary search tree from scratch and started inserting each tokenised word into it, wrote a traversal algorithm.

The interviewer, luckily, was a patient guy. After I completed my whole mess, he asked is it possible to do this in a slightly better way with constant time access without traversal.

I said yes, we can with a hash table but I dont know how to implement one. He replied I dont expect you to implement the hash table but see you use it. I asked him if I am allowed to used the standard library, for which he said ofcourse.

*facepalm*.

Finally I understood his expectation, referred cppreference.com and used an unordered_map.

Later there were some quesion on databases for which I tried my best to answer. And I frankly replied that I am not comfortable with JS frameworks as of now. Got rejected.

So the mistake is I never asked basic questions like what is the time complexity expects, if I was allowed to use standard library, didnt spend some extra time on studying stuffs needed for the domain switch and most importantly I panicked.

I am conducting technical interviews for about 10 years now.
I swear to god, the applicants keep getting dumber and dumber.
Getting more and more ashamed to talk about data structures, design patters or even the most basic algorithms, everyone with a graduation badge from udemy is now a software engineer. Fuck this shit.

Got my first laptop while I was overseas.

It was a windows hp laptop with Vista.

It was an absolute piece of shit.

Decided to find the people responsible of it.

Got to what a software engineer was.

Boss told me to look in the library to see if i find some books on the subject. Got a Java and C++ book.

Shit was hard af cuz I had no clue what I was doing, but I liked it. Decided to look more into an application wise platform of study rather than doing basic CLI shit. Got into web development with Java. Got a hold of more JS. Liked JS more cuz shit was easy, found about server side JS with classic ASP, did VBScript as well.

Eventually found Python, fell in love but hated the whitespace ussage for block level code etc. Found Ruby, to this day the most beautiful language according to me. Read about why's poignant intro to Ruby.

Dug it, but wanted some other things. Found out about the study of data structures ans algorithms, then harvard's free cs50 course, then mit courseware, rice's python class. Took all of them. CS50 introduced php, liked it, sounded like a drug, was easy to use, for whatever fucking reaskn my ass decided to use version 4 even though 5 was already out. Learned to appreciate advancements in programming language even more

Hipster phase, while studying php got more into JS and web design with more css concepts, wanted my shit to be pretty. Somehow landed with Common Lisp. Mind fucking blown.

Continued with php. Got into uni, math made sense through programming, ok so I am stupid, but not that stupid, python is the best calculator ever.

bring it bitches.

Graduated.

Still don't know what I am doing.

The best teacher that I've had is one of the teachers at my university lab.
He teaches Data Structures. We had some programming assignments and I was good at it, but whatever I'd do, he'd always find bugs, ask me to resolve it and he'd always give me challenges in the lab which is fun in the lab environment. University labs usually sticks to the sylabbus. I actually learned alot from that experience..

'Trail and Error is the best method to learn programming.'

So, the uni hires a new CS lecturer. He is teaching 230, the second CS class in the CS major. Two weeks into the semester, he walks in and proceeds to do his usual fumbling around on the computer (with the projector on).

Then, he goes to his Google Drive, which is empty mostly, and tells us that he accidentally wrote a program that erased his entire hard drive and his internet storage drives (Google, box, etc.)...

I mean, way to build credibility, guy... Then he tells us that he has a backup of everything 500 miles away, where he moved from. He also says that he only knows C (we only had formally learned Java so far), but hasn't actually coded (correction: typed!) in 20+ years, because he had someone do that for him and he has been learning Java over the past two weeks.

The rest of the semester followed as expected: he never had any lecture material and would ramble for an hour. Every class, he would pull up a new .java file and type code that rarely ran and he had no debugging skills. We would spend 15 minutes trying to help him with syntax issues—namely (), ;— to get his program running and then there would be a logic issue, in data structures.

He knew nothing of our sequence and what we knew up until this point and would lecture about how we will be terrible programmers because we did not do something the way he wanted—though he failed to give us expectations or spend the five minutes to teach us basic things (run-time complexity, binary, pseudocode etc). His assignments were not related to the material and if they were, they were a couple of weeks off. Also, he never knew which class we were and would ask if we were 230 or 330 at the end of a lecture...

I learned relatively nothing from him (though I ended up with a B+) but thankful to be taking advanced data structures from someone who knows their stuff. He was awful. It was strange. Also, why did the uni not tell him what he needed to be teaching?

End rant.

If ever you felt imposter syndrome, it's after your senior experienced colleague rewrites an API you built... You've been chipping away at it for months, making it faster but reaching the limits of the functional but flawed original design.

In one week he starts it as a side project, and fixes the whole thing, soap to nuts... I need to sit down with that guy more.

In my uni course "Algorithms and Data structures" we use Java. Fine. Definitely not my preferred language but it's not like I have a choice.

Anyway, our teacher uploads code files for us to use as reference/examples. The problem is, they look like this. Not only does she not indent the code, she also uses a charset that is not utf-8.

In the rare cases where she does indent the code, she uses THREE, yes THREE spaces...

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!

PM is such a fucking cunt
telling me that my data structures describing the layout of binary data would be confusing for devs, and that we shall introduce

typedef fuckingRetardedObfuscatingName uint8_t;

in our code. everyone is fine with the concepts i provide to describe this binary data, not only at our company but also in other software i've worked on and common standards i've worked with, we work like that and every fucking idiot knows what a uin8_t is.

you fucking braindead imbecile have no fucking idea how we work and you don't care, you don't even try to understand what we are doing.
god i hope you die being hit by a fucking bus or something

How I should approach a new project:

- think about data design
- draw some tables
- configure relations
- create data structures
....

How reality proves I'm a donkey:

- builds random table
- works on models, with random querys
- realizes things get to complicated and relations are broken or tables need duplicate logic
- starts thinking about 'good' design
- draw some tables
- configure relations
- create data structures
....

Only if people understood the amount of effort that goes behind building a simple app.
Even if it's a simple notes app, I've to design the UI (at least 2 different activities - 1 for the list and the other for editing notes), write the code which makes it run i.e. without which the app is just a piece of empty design, think about what data
structures to use (that notes you are saving need to be stored somehow) and then club everything together and hope nothing breaks (spoiler alert: something will definitely break).

People need to understand that it's not just putting some fancy buttons and boxes around. Also, I'm not just making the app for one device. I've to make sure it works on different screen sizes, different versions of the OS (a user can't imagine how many functions need to be re written because something got deprecated in the process and I'd to switch to something different).

Also I'm not just sitting at my computer and converting coffee to code. I've to think about the flow, structure, design, navigation, backend etc. Of the app; most of my time isn't spent writing code but thinking/studying how to write the code. I also need to wait while the project is compiling/building every time I want to test it.
A function which you think is hard to implement night be really easy while something you claim is easy might be a nightmare. Oh and I didn't even mention how I need to stick to some design guidelines to make the app look consistent with the rest of the OS.
If you're wondering why a developer is spending most of his time on a browser, he isn't playing internet games or browsing reddit ( at least you better hope not), he's probably looking at the docs/stack overflow to get something to work/fix something!

Wow! That was long. Thanks!

They don't tell you this is in uni but your skill in merge conflict and circular dependency resolution is more essential in the real world than your knowledge of data structures.

First year: intro to programming, basic data structures and algos, parallel programming, databases and a project to finish it. Homework should be kept track of via some version control. Should also be some calculus and linear algebra.

Second year:
Introduce more complex subjects such as programming paradigms, compilers and language theory, low level programming + logic design + basic processor design, logic for system verification, statistics and graph theory. Should also be a project with a company.

Year three:
Advanced algos, datastructures and algorithm analysis. Intro to Computer and data security. Optional courses in graphics programming, machine learning, compilers and automata, embedded systems etc. ends with a big project that goes in depth into a CS subject, not a regular software project in java basically.

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.

The iconic moment in your degree when your lecturer finally let's you use Java's built in data structures.
Bye bye Linkedlist.java/Node.java

I always wanted to have an array where I could store an object at index 694307084175882649501.

And now I can!!!

Had my algorithms and data structures lab this week... 6pm-9pm

No one sat next to me or talked to me... probably cause I’m the only girl in the class :/

Want to make someone's life a misery? Here's how.

Don't base your tech stack on any prior knowledge or what's relevant to the problem.

Instead design it around all the latest trends and badges you want to put on your resume because they're frequent key words on job postings.

Once your data goes in, you'll never get it out again. At best you'll be teased with little crumbs of data but never the whole.

I know, here's a genius idea, instead of putting data into a normal data base then using a cache, lets put it all into the cache and by the way it's a volatile cache.

Here's an idea. For something as simple as a single log lets make it use a queue that goes into a queue that goes into another queue that goes into another queue all of which are black boxes. No rhyme of reason, queues are all the rage.

Have you tried: Lets use a new fangled tangle, trust me it's safe, INSERT BIG NAME HERE uses it.

Finally it all gets flushed down into this subterranean cunt of a sewerage system and good luck getting it all out again. It's like hell except it's all shitty instead of all fiery.

All I want is to export one table, a simple log table with a few GB to CSV or heck whatever generic format it supports, that's it.

So I run the export table to file command and off it goes only less than a minute later for timeout commands to start piling up until it aborts. WTF. So then I set the most obvious timeout setting in the client, no change, then another timeout setting on the client, no change, then i try to put it in the client configuration file, no change, then I set the timeout on the export query, no change, then finally I bump the timeouts in the server config, no change, then I find someone has downloaded it from both tucows and apt, but they're using the tucows version so its real config is in /dev/database.xml (don't even ask). I increase that from seconds to a minute, it's still timing out after a minute.

In the end I have to make my own and this involves working out how to parse non-standard binary formatted data structures. It's the umpteenth time I have had to do this.

These aren't some no name solutions and it really terrifies me. All this is doing is taking some access logs, store them in one place then index by timestamp. These things are all meant to be blazing fast but grep is often faster. How the hell is such a trivial thing turned into a series of one nightmare after another? Things that should take a few minutes take days of screwing around. I don't have access logs any more because I can't access them anymore.

The terror of this isn't that it's so awful, it's that all the little kiddies doing all this jazz for the first time and using all these shit wipe buzzword driven approaches have no fucking clue it's not meant to be this difficult. I'm replacing entire tens of thousands to million line enterprise systems with a few hundred lines of code that's faster, more reliable and better in virtually every measurable way time and time again.

This is constant. It's not one offender, it's not one project, it's not one company, it's not one developer, it's the industry standard. It's all over open source software and all over dev shops. Everything is exponentially becoming more bloated and difficult than it needs to be. I'm seeing people pull up a hundred cloud instances for things that'll be happy at home with a few minutes to a week's optimisation efforts. Queries that are N*N and only take a few minutes to turn to LOG(N) but instead people renting out a fucking off huge ass SQL cluster instead that not only costs gobs of money but takes a ton of time maintaining and configuring which isn't going to be done right either.

I think most people are bullshitting when they say they have impostor syndrome but when the trend in technology is to make every fucking little trivial thing a thousand times more complex than it has to be I can see how they'd feel that way. There's so bloody much you need to do that you don't need to do these days that you either can't get anything done right or the smallest thing takes an age.

I have no idea why some people put up with some of these appliances. If you bought a dish washer that made washing dishes even harder than it was before you'd return it to the store.

Every time I see the terms enterprise, fast, big data, scalable, cloud or anything of the like I bang my head on the table. One of these days I'm going to lose my fucking tits.

So after exactly 30 minutes of building a basic interpreter (yes I'm back on the interpreter wagon) in python, I have once again come to the conclusion that python can go fuck itself with its backwards and inconsistent syntax with needlessly over worked and backwards data structures...

Would rather work in fucking COBOL at this stage...

I feel so empty.

I can't keep up with what is being teached to us in the mathematical courses. Everything else is fine. "Algorithm and data structures" aka Info A (Programming in C++) and "Computer engineering" aka Info C (details of how a CPU, RAM etc. works) is understandable, but when it comes to math I, completely, am lost.

2-4 hours drive to university and 2-4 hours drive back to my home each day. Two oral examinations each week in Info A and Info C. Three assignments in Info A, Info C and math.

I was so naive to believe that I would be more free and have more free time as a student haha.

Maybe I should switch to a university of applied sciences. The classical university is too theoretical for me, but in the same time I know that I can't keep up with the time when I have to build a circuit in the university of applied sciences.

I am able to design and build a circuit, but I am slow. Probably because I am checking many times if I did it properly before testing it.

To my fellow German devRanters who have studied or tried to study: You all just read my situation and my thoughts. Am I wrong about what I am thinking about a university of applied sciences? How are the mathematical courses there in terms of difficulty?

If mathematics is at the same difficulty, I will try to do something else that has nothing to do with college. It just won't get into my brain.

Today's the day I start learning C++ at Uni!!!

"What app is that?"

"It's like yik yak for developers..."
"Like FML for programmers..."
"Like one big groupme for computer scientists..."
"Like Josh from Intro to Data Structures..."

I'm running out of ways to describe devRant.

Data Structures and Algorithms: the single most difficult class in university.

/*
"Not wk135, but blah blah blah"
Please don't misuse wk135 (Sorry)
It's about coding tests
Thank you. */

=>
A company took their technical test on this really weird website. There was a Windows Narrator guy's voice giving instructions while a timer was running. I had to flash my ID to the webcam and then fit my head on an outline on the screen. It was for a web dev position. I had to speak into the microphone to answer the Narrator's questions and then send the video to them. The questions were weird and hypothetical, mostly. I just thought that their process was dumb and unnecessary.

=>
I don't like aptitude and algebraic tests. One company, I remember, had their test on Google Forms. For some multiple choice questions, they put check boxes instead of radio buttons. So, I could just blaze through it selecting all options. Some of the questions had their first option as "All of the above" 🤔. Fortunately, I didn't pass the test.

=>
The company I'm interning with, starting from next month, had a good interview process. They asked me questions on JavaScript, CSS, and a few on algorithms and data structures. I was also given a task where I had to make a css animation of trees. I'm glad they didn't have an algebra entry test.
😊

Why name Tree a Tree when it's really Root if you look at it with head up ?

(Tree Data Structure)

We're really taught to look at the world upside down

Trying to explain data structures in Java to my Dad! ...he just nods his head. Love you, Dad!

Finally after working on programming languages and Data Structures for too long developing my first software with a GUI. In python. 😀😀😀
Though its only a calculator for now. 😅😅😅😅

So I'm not sure I understand this question fully, if it is meant only through code, than I guess none or those people I got to know while I was doing my algorithms and data structures project last semester where we were helping each other with our code
If it's meant generally through code related activities then I gained lots of friends in uni in classes and here on devRant of course and actually yesterday I got to talk unexpectedly about coding and programming languages on an event with a guy who actually studied financial maths in Vienna but now works as a tester and works with databases, that was nice

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 😉

If there is 2 books you should read before trying to tackle TAOCP... this might be on it.. as well as the Concrete Mathematics book.

Anyway. This book covers not just the fundamentals of modern algorithms and data structures but it also makes the leap to understanding multithreading and algorithms using multithreading.

Some argue the certain concepts in this book are presented without explanation of how they work, but I guess that should be something the reader try’s to figure out from another book or constructive thinking critically. Keeps the reader on their toes for understanding.

This is also the reason many people suggest the sedgewick algorithm books, of which will be posted another day.

Playing with tree like structures today. Had to write a function where a node produces a new node containing data from both self and parent.

The moment when you realise you've just coded incest...

If you're currently in college and wish to get placed in a major tech giant like Amazon or Facebook:

Don't learn React.js, instead learn Linked lists.

Don't learn Flutter, instead learn Binary search trees.

Don't learn how to perform secure Authorization with JWTs, instead learn how to recursively reverse a singly linked list.

Don't learn how to build scalable and fault tolerant web servers, instead learn how to optimally inverse a binary search tree.

These big tech companies don't really care what real world development technologies you've mastered. Your competence in competitive programming and data structures is all that matters.

The system is screwed. Or atleast I am.

So just finished my last algorithms and data structures class frequency, feeling pretty confident about the grade, today it'll be all weed, pizza and sex. Life is good :')

Writing coroutines for io_uring. Submissions aren't working (they go through but the operation never seems to complete). Just fixed a few segfaults because of error cases not destroying coroutine handles correctly. Been on this for two days, finding more and more things I need to do that unrelated to the task at hand. Don't have issue tracking set up yet because haven't had time. Mountain of things that need to get working just for a demo is only growing. Layered maps of data structures and code flow are in my head as I'm trying to mentally debug some of this. I'm focused, completely dead to the outside world.

Then I feel a small scratch on my cheek. Three hours of mental mapping and a deep stack of thought, vanishes into thin air in a single moment.

The trade-off is worth it though.

What I can figure out:
You give me a large application with multiple projects/classes/files/functions that is tens of thousands of lines long, I can debug it. I can picture the multi-dimensional data structures, objects that contain lists of other objects, all in my I head.

What I can't figure out:
Should I or should I not look at the person sitting at their desk when I walk back to my desk from the bathroom.

1. When i was 11 years old i came across a trojan horse program and i sent it to all my school friends to get their messenger password.
(I had a list of passwords of all the people in my class... dont worry, i didnt even used the passwords, i just stored them in my list lol)

2. Took data structures 10 years later, hated it and switched to electrical eng

3. I was working on a manufacturing plant as the lead engineer and one of my prototypes was misbehaving and i was blaming software and software was blaming me...typical stuff... So i said "im going to get a masters is software so i can know wtf you are talking about, and tell you that you are wrong😠!!"

Got in school, started in the masters and quit that place i was working for 🤣.. (they were shitty people and unethical business... fyi)

Now im back to where i was was when i was 11... (minus the hacking email accounts of my classmates)

I work in a dev company. One of our clients hired us to help them out as their devs are failing with their deadlines.

I had to expose app services via an api. I did it. Client company devs didn't like the way I did it as I rewrote their datamodels and declared them as api-use-only. I was demanded to return bkend services' data structures.

I didn't agree and waited until deadline to submit my code.

Now they are honestly thanking me for what I did as I've saved them from a forever-mutating-api-and-angry-integration-customers hell.

Not sure whether should I be happy or worried. I forced my solution onto them. It's not proffessional. But yhe customer is happier now than it would've been.

What do you do in such situations?

ah this fucking sucks my boss, who is also the guy developing back end for our mobile app which im developing, isnt working on the back end makes me guess the fucking json strings that hes going to send and buils the front end, then later changes the fucking json structure completely and expects my app to work without any problems, how do you teach these fucking php developers the importance and significance of data types and data structures

Who thought Lua was a good idea for extending gameplay functionality??

It's weakly typed, has no OOP functionality and no namespace rules. It has no interesting data structures and tables are a goddamn mystery. Somebody made the simplest language they could and now everybody who touches it is given the broadest possible tools to shoot themselves in the foot.

Lua's ease of embedding into C++ code is a fool's paradise. Warcraft 3's JASS scripting language had way more structure and produced much better games, whilst being much simpler to work with than Lua.

All the academics describing metatables as 'powerful extensionality' and a fill-in for OOP are digging the hole deeper. Using tables to implement classes doesn't work easily outside school. Hiding a self:reference to a function inside of syntactic sugar is just insanity.

Nobody expects to write a triple-A game in lua, but they are happy to fob it off to kids learning to program. WoW made the right choice limiting it to UI extensions.

Fighting the language so you can try and understand a poorly documented game engine and implement gameplay features as the dev's intend for 'modders', is just beyond the pale. It's very difficult to figure out what the standard for extending functionality is, when everybody is making it up as they go along and you don't have a strongly-typed and structured language to make it obvious what the devs intended.

If you want to give your players a coding sandbox, make the scripting language yourself like JASS. It will be way better fit for purpose, way easier to limit for security and to guarantee reasonable performance. Your players get a sane environment to work in and you just might get the next DOTA.

Repeatedly shooting yourself in the foot on invisible syntax errors and an incredibly broad language is wasted suffering for kids that could be learning the programming concepts that cross all languages way quicker and with way more satisfying results.

Lua is hot garbage for it's most popular application, I really don't get it. Just stop!

guarantee sure data structures Make your order insertion

But only if you need it of course

studyng algorithms and data structures :(

So.. how does being in a company makes you a better engineer?

For eg, this year my team shipped these 2 interesting features (among other things) that were never part of our product.
these were crazy ideas, that got liked by our users, and might have impacted the finances of company positively.

However the engineers (not me, i worked on them even less) that worked on it, did they got their knowledge growth? they just analysed the old codebase, its shitty architecture and drawbacks, and added the feature around it in a similar manner. so basically it was building debris over the debris

but is this growth? if that engg was me, would my experience in dealing with debris and building debris over it (that somehow works) be helpful for any other organisation?

And number (2) : is my organisation even a good one if its allowing to build debris over debris and not leaving a space for discussion or cleaning the mess or thinking about better architectures, data structures for scalability and robustness?

An engineer's growth should be made by giving them a chance to explore new and best solutions and not the best hacks i guess

Writing "Algorithms and Data-structures" exam in an hour.. Only coding C++ on paper .__.

For starters this is my first post, found devrant the other day you're all hilarious.

I hate math, I hate proofs. I'm in a class "Analysis of Algorithms" and I have understood and do understand the importance of optimizing algorithms and data structures and I understand the algorithms and data structures themselves. That being said, I'm fucking sick of math and proofs and all this bullshit that is probably pretty important but ugggghh, I guess I just have to push through, but writing this out helped.

So I did an interview today and the problem was given a = 1 2 3 and b = 2 3 write code that finds the common elements.

I asked what the data structures are and they said it can be whatever so I said cool then we can use sets and do an interception to get unique elements.... this was in Python... but for the life of me I couldn't remember what the intercept notation was... and brought that up hoping they're give me a hint haha.

So I ended up writing a 8-9 line solution for what could've been a one liner fml: return a | b.

All because I didn't know the notation and still needed to give them something. Painful to write when I knew I was reinventing the wheel. Sign

I almost never use sets so this was heartbreaking hopefully I still get an offer!

How bad of a fail is this in y'all opinion?

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.

I kinda hate to admit it but they were right. Data structures and algorithms are kinda the shit and you should try to learn and appreciate them. Not just so you’ll use them. But in that learning them helps you become a better problem solver.

There’s a self taught dev that my company works with for really bespoke applications. A senior dev that works with him and helps manage the development process told me that the dev in question doesn’t really know how to implement the finer details. Very telling indeed.

Headphones, phone in silent mode, my algos and data structures drawn on a sheet of paper, and a rubber duck by my side.

Gotta hand it to a faculty at my college. She is the best teacher, ever! Period.

She is pretty lenient, understanding, and always supports us and helps us.
She taught us Data Structures and the only thing that was bad was us students not giving as much effort as she gave to teach us.
She was so well that it always felt that we weren’t doing well enough.

Her subject was the only one in which every student passed!!
And still now, although she no longer teaches us, which hopefully changes next semester, I still love to go to talk to her about various things I do in programming and computers overall.

M just gonna say it...
U. R. The. Best.!!!! 😎☺️😊

Last night me and my friend were on a WhatsApp call discussing how we should practice algorithms and data structures more. We texted the logistics after and he sent me a calendar invite on google. I swear to god this morning I had adds talking about data algorithms all over YouTube but I have never googled this issue in the near past 🤔 this can’t be a coincidence...

Why is it that virtually all new languages in the last 25 years or so have a C-like syntax?

- Java wanted to sort-of knock off C++.
- C# wanted to be Java but on Microsoft's proprietary stack instead of SUN's (now Oracle's).
- Several other languages such as Vala, Scala, Swift, etc. do only careful evolution, seemingly so as to not alienate the devs used to previous C-like languages.
- Not to speak of everyone's favourite enemy, JavaScript…
- Then there is ReasonML which is basically an alternate, more C-like, syntax for OCaml, and is then compiled to JavaScript.

Now we're slowly arriving at the meat of this rant: back when I started university, the first semester programming lecture used Scheme, and provided a fine introduction to (functional) programming. Scheme, like other variants of Lisp, is a fine language, very flexible, code is data, data is code, but you get somewhat lost in a sea of parentheses, probably worse than the C-like languages' salad of curly braces. But it was a refreshing change from the likes of C, C++, and Java in terms of approach.

But the real enlightenment came when I read through Okasaki's paper on purely functional data structures. The author uses Standard ML in the paper, and after the initial shock (because it's different than most everything else I had seen), and getting used to the notation, I loved the crisp clarity it brings with almost no ceremony at all!

After looking around a bit, I found that nobody seems to use SML anymore, but there are viable alternatives, depending on your taste:

- Pragmatic programmers can use OCaml, which has immutability by default, and tries to guide the programmer to a functional programming mindset, but can accommodate imperative constructs easily when necessary.
- F# was born as OCaml on .NET but has now evolved into its own great thing with many upsides and very few downsides; I recommend every C# developer should give it a try.
- Somewhat more extreme is Haskell, with its ideology of pure functions and lazy evaluation that makes introducing side effects, I/O, and other imperative constructs rather a pain in the arse, and not quite my piece of cake, but learning it can still help you be a better programmer in whatever language you use on a day-to-day basis.

Anyway, the point is that after working with several of these languages developed out of the original Meta Language, it baffles me how anyone can be happy being a curly-braces-language developer without craving something more succinct and to-the-point. Especially when it comes to JavaScript: all the above mentioned ML-like languages can be compiled to JavaScript, so developing directly in JavaScript should hardly be a necessity.

Obviously these curly-braces languages will still be needed for a long time coming, legacy systems and all—just look at COBOL—, but my point stands.

An intern approached me for help in one of their past exam questions. They said they had already turned in the exam but just wanted to know the answer. The question was not that hard and I had a bit of time to kill so I helped them.

Me: So, to make it O(n), you have to make it a double linked list, and keep a tail.

Them: But the problem requires us to solve it with a single liked list.

Me: You can just iterate it at the end to make it single-linked again. That costs O(n), so the solution is still O(n).

Them: Oh yeah right. I don't think we even need a tail though, we could just have a variable pointing to the last link.

Me: ...which is called a tail.

RDBMS class: I have to fucking attend every class even though our lecturer just reads slides from Oracle to us.

In order to pass that module, we have to take the exams on their shitty website full of stupid questions, I.e. "Oracle academy is beautiful? a) true b) false" (I put false and they obviously marked it as wrong, ffs).

Multi-user operative systems: I was the one teaching our lecturer stuff on Linux.

WHY THE FUCK I CANNOT STAY AT HOME AND BE FUCKIN PRODUCTIVE INSTEAD?!

The only fucking interesting class is Data Structures & Algorithms and they pretend that we also attend every other useless class. FUCK YOU!

PS: I know the 90% of the stuff they are trying to teach us because I actually want to learn something and I know how to use Google, but no, I have to waste 2 hours on the bus every single day I have lessons.

Just another day, building some hearty data structures in C.
I need to make a program that can multiplex user IO to different child processes from the command line.

I am pretty sure that my mom's anti aging creme has bubble sort as its algorithm hahaha 😂😂😂

I just officially graduated from a web dev program and it feels...

Very underwhelming.

Learned ES6, React, Webpack, service workers, offline databases, accessibility, (...bla bla bla)

And my knowledge with data structures and algorithms isn't even that great yet.

I look at the stuff I still don't know and wonder if I'll ever be comfortable with my level of expertise.

Reporting is not fun..

Scenario 1:
* A user says they need to export certain data from our system..
* Developer W makes report called "Foo detail report"

Scenario 2:
* A user says they need this report to also show some extra fields
* Developer X makes a new report called "Foo detail report (extra fields)"

Scenario 3:
* A user says they need this report to be run with a different search criteria
* Developer Y makes a new report called "Foo detail report (extra fields) by bar"

Scenario 4:
* A user says they need this report show data grouped in a different way
* Developer Z makes a new report called "Foo detail report (extra fields) by bar- new grouping"

The above scenarios happened over and over for several years in no particular order...

Current Day:
* Some users have certain reports they use and rely on but we don't know which ones
* Nobody really knows what all of the reports do or what is the difference between them without looking at the sql
* If we want to change data structures we have many reports to update
* I have a request from a user to add an extra column to one of the reports

For the first time apart from Data Structures and Algorithms, there was a Machine Coding round where they asked me to create a small app using any language without data persistence or GUI, to see my code designing ability, LLD, code quality, whether I can implement OOP and write modular code and to see how extensible my code will be.

I did well.

The saddest and funniest side of our industry is (atleast in India): someone works hard and makes it to the best colleges, do great projects on AI, ML; get a good score on Leetcode, codechef; gets a job in FAANG-like companies...

Changes colors in CSS and texts in HTML.

And, why is there so much emphasis on Data Structures and Algorithms? I mean, a little bit is fine, but why get obsessed with it when you never write algorithms in production code?

Now, don't tell me that, we use libraries and we should know what we are doing, no, we don't use algorithms even in libraries.

Now, before you tell me that MySQL uses B-tree for maintaining indexes, you really don't need to solve tricky questions to be able to understand how a B-tree works.

It's just absurd.

I know how to little bit on how design scalable systems.
I know how to write good code that is both modular and extensible.
I know how to mentor interns and turn them into employees.
I know how to mentor junior engineers (freshers) and help them get started.
Heck I can even invert a binary tree.

But some FAANG company would reject me because I cannot solve a very tricky dynamic programming question.

!rant

Does anyone know what the **day-to-day** differences are between working in IT (banks, hedge funds) vs tech (Google, Facebook, Netflix).

In my mind, I see Hell and Heaven. And there's a giant wall in between called "technical interviews + algorithms and data structures".

I'm on the Hell side... And not sure if I should climb the wall 😔

Is the wall even that big?

So I was having an interview with a cool company a while ago. I had a non programming, full-time job then and I was having the interview during my break. I stressfully coded my way through a fizzbuzz and a tree question (luckily I had been studying data structures) but the interviewer generally sounded satisfied. Towards the end, he cheerfully asks "So, why do you want to work for us?" I panicked because I forgot to read details about the company before the interview. My response was "Um, because you offer a remote and part-time position, I know that's not a very nice reason, but, ummmm". The interviewer said "I see, thank you..." in a very dissapointed voice. Man, I didn't shoot myself in the leg, I loaded a nuclear missile on a fucking satellite and directed it straight to my balls. I felt so embarassed. Interviewer guy if you are reading this, I wanna say sorry.

I just had a thought while thinking about Algorithms and data structures. Honestly other than for technical interviews I have never really had to use specific implementations.

Then I suddenly had a thought... What if I wanted to build my own operating system... I would also learn c++ as well....

I can't think of a reason to build my own OS though... Hm.. What about a programming language? Would that be like a mini-OS, and also need all this stuff?

What container data structures do all of you actually use?

For me, I'd say: dynamically sized array, hashtable, and hash set. (And string if you count that.)

In the past 8 months, I've used another container type maybe once?

Meanwhile, I remember in school, we had all these classes on all these fancy data structures, I havent seen most of them since.

There's nothing wrong with asking algorithm and data structure questions in an interview if the employer calls for it.

If you're hiring a junior and/or you desperately need workers, then you can lower the bar, but if you want to be picky, then asking them leetcode-tier coding questions is fine.

THERE'S NOTHING WRONG WITH ASKING A SOFTWARE ENGINEER CANDIDATE DATA STRUCTURES AND ALGORITHM QUESTIONS

If they complain that asking ds&a questions is unfair for a position where all they're going to do is shit-tier frontend work, then blacklist them for 10 years.

If people argue that Doctors don't get asked chemistry and biology questions for interviews, tell them it's because medicine is much more regulated than software and that doctors are vetted technically even before they're allowed to go job hunting. Since software doesn't have the same regulations medicine does, employers have to do the technical vetting themselves.

If you think it's unfair to ask software engineering questions to a candidate applying for a software engineering job, then find a different career.

Do you get filled with anxiety and mental anguish when asked for your availability for a technical interview, knowing you’ve spent all your time recently programming and not working on algorithms/data structures and so you’re terribly unprepared but have no idea what the acceptable amount of time to schedule out without seeming like you’re incompetent is?

No?

....me neither. (She says, lying)

I'm so glad that I got a CS degree learning Data Structures, Algorithms, Operating systems, Databases, Linear Algebra, Software Engineering, Networking and many more...

How else would I have been able to center a div with CSS or change the Background color?

I hate C++

I am wondering how a #FunctionalProgramming based implementation of a Binary Search Tree would look like?

Has anyone tried it?

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.

Hello and welcome, to a presentation in which I will tell you my thoughts on the shortcomings of modern day computers and programming practices.

Computers are based on a very fundamental and old idea, folders, and files, a file is basically a concrete amount of data, whereas a folder is a group of files, and it comes from the real life concept of files and folders, now it might be quite obvious already that using a concept invented in 1898 by a guy called Edwin G. Seibels, might not be the best way for computers to function in the year 2020, but alas, it is.

Unless of course, you step into the world of a programmer.

A programmer’s world is much different, they use this idea of a data structure, or in simpler terms, an object. An Object is just like what you would think of as an object in your head, something with different properties that you can think about in different ways, for example your mobile phone, it has a battery percentage, it has a screen size, it has free space available. Programmers use these data structures to analyse data very quickly, like finding all phones with a screen size bigger than a certain size for example.

The problem is that programmers still use files and folders to create the programs that use these objects.

Consider this example.

Let’s say you want to create a virtual version of a drink bottle, consider what properties it will have, colour, volume, height, width, depth, material, etc..

As a programmer, you can leverage programming features and change the properties of a drink bottle directly, if you wanted to change the colour, you just say, drink bottle “dot” colour, equals blue, or red.

But if the drink bottle was represented as a file, all the drink bottles data would be inside the one file, so you would have to open the whole file, find the line or section of the file that has the colour data of the drink bottle, and select it, highlight it, delete what’s there, and type in your new value.

One way to explain this better is to imagine a folder that now represents the drink bottle, imagine adding a new file into that folder that represents each property I described before, colour, volume, etc.., well now, you could just open that folder, find the file for colour, either by looking with your eyes or you could do a file search in the folder for a file called colour, open it, and edit the value inside. This way of editing objects is the one that more closely represents the way programmers and a program itself interacts with objects inside a running programming language.

But the thing is, programmers don’t use the folder/file way of creating objects and putting them into programs, because it would be too cumbersome, they just create 1 file for an object, or have lots of objects in a file, and create all the objects in 1 file, and then run the program which creates the objects, then when they stop the program, it deletes the objects. So there is no actual link between the object in a file and the object that the program creates by reading the data from that file, if you change the object in your program, it does not get saved to the file.

So programmers created databases to house these objects, but there is still a flaw in databases, they are hard to interface with, and mostly databases are just used to send data or retrieve data from, programmatically, you can’t really browse a database the way you can browse the files on your computer. You can, but database interfaces are not made to be easily navigated the way files and folders are.

As it stands, there is no way to store objects instead of files on your computer and interact with them in complex ways the way programmers can inside the programs they create.

If the idea of an object became standard the way a file and folder is standard, I think it would empower human’s a great deal to express things far more easily and fluidly than they can today.

Thanks for reading.

How many of you use the right data structures for the right situations?

As seasoned programmer and mentor Simon Allardice said: "I've met all sorts of programmers, but where the self-taught programmers fell short was knowing when to use the right data structure for the right situation. There are Arrays, ArrayLists, Sets, HashSets, singly linked Lists, doubly linked Lists, Stacks, Queues, Red-Black trees, Binary trees,.. and what the novice programmer does wrong is only use ArrayList for everything".

Most uni students don't have this problem though, for Data Structures is freshman year material. It's dry, complicated and a difficult to pass course, but it's crucial as a toolset for the programmer.

What's important is knowing what data structures are good in what situations and knowing their strengths and weaknesses. If you use an ArrayList to traverse and work with millions of records, it will be ten-fold as inefficient as using a Set. And so on, and so on.

I don't know why they made so many algorithms, data structures and big O questions during interview, when all they wanted me to do was to maintain some legacy, tight coupled, spaghetti code with no architecture, documentation, tests nor any kind of engineering behind :/

Sidekik - A Sidekik for all Data Structures and Algorithms you need.

A Lodash for Data structures

You want me to be an expert in advanced data structures, algorithms, dbms, Oracle, python, machine learning, J2EE just to develop apps for you? If I had been a master of all trades, I would not have come to you in the first place.

!rant

I've always been wondering why do tech companies need everyone to have a strong grasp of algos and data structures?

I've been coding most of my life but didn't get a CS degree so ended up in IT but I kind of want to get into a tech company as my thinking is the quality of code much higher (I spend a lot of time cleaning up other people's code and prod issues over the years...), I've been learning Algo/DS but when I see those technical questions on CareerCup, I go WTF.... it's this the kind of problems you guys do every day?

Just found this on Reddit
"I used to think that everybody should learn programming. When I first started learning –thinking about how to organize the world in terms of data structures and algorithms– I thought, "Wow, this is such an amazing way to organize information. Everybody should learn to do this!"

I don't think that anymore.

I think there has to be something seriously wrong with you in order to do this work. A normal person, once they’ve looked into the abyss, will say, “I’m done. This is stupid. I’m going to do something else.” But not us, ‘cause there’s something really wrong with us."
Douglas Crockford

One problem for CS education is that the salaries for academia are so low compared to industry that if someone is even vaguely competent, they can at least double their income by working a 'real' job. Now this may be different at higher levels of colleges but generally those folks are such bullshitters they wouldn't last outside of academia.

As what to improve?
Depends if it's a research or vocational course.

For vocational; heavy on group projects, common tools, methodologies and architectures. All demonstrated in something like c#/java/python. And one project must have a web app (db, app layer and JavaScript from end)
Basic knowledge of algorithms, runtime analysis (O notation) and some data structures and you're an instahire.

For research, go wild. Deep dive into the math, algorithmic side. Read up lots of research papers. Try out different programming paradigms. You would aim for a career in academia, AI, quant finance etc...

What do you guys think about people who call themselves programmers after learning few technologies from Onlinecourse’s . I don’t want to call someone programmer who doesn’t know very important and useful concepts called data structures and algorithms.

Teach data structures by showing how they're used in real life situations. Don't make us do some nonsense puzzle shit. For example, a friend of mine is learning stacks/queues right now and his assignment is to build a simple HTML parsing algorithm to determine whether an HTML file is valid. This shows the student a practical use of the data structure and reinforces that this shit actually does get used in real life.

(a question)
so in my city there's an opportunity for some
tech university students to attend extra programming classes for a year (12 hours/week). they'll teach many things: (advanced) data structures, databases, oses, computer networks, compilers, making games, data analytics etc. is it worth attending or i should just write down those topics in a to-do list and learn them by myself? i've never attended such courses so i don't know if they are useful or not. thanks for taking the time to read this :)

~learn react enough to make a full-stack web app
~learn Flutter
~get good enough at data structures and algorithms to pass a fucking coding skills test

Best way to deal with office politics?

As background: we have our own implementation of some C++ data structures, including an "Array" class (basically the same as std::vector).

A few years ago, the senior guys on my team refused to add new features to it for (seemingly) no good reason.

So senior guys from another team added the features anyways, in THEIR repo.

My team couldn't stop them, but refused to allow the new features in OUR repo, so now our Array is split between two repos for no good reason 😢.

Two years later, here I am, hoping to clean this up. As far as anyone knows, there's no good reason to have it split up like this.

How do i convince my team that we should move the code to OUR repo where it belongs?

You've got the perfect architecture lined up, a great idea about how to transition and you're about to start refactoring. Then it hits you. You've got 10 clients running your code in production and you'll have to migrate their data to the new structures, from the blob to each new microservice datastore. For each release. FML.

Hello everyone !
I am a self taught programmer. Currently in last semester in electronics engineering. I want to become a software developer but can't decide the right career path for me to take. I like back end, Android, Data structures and algorithm, Parallel programming, Machine learning and computer vision, and even security. I am afraid I will remain the jack off all trades and won't be the master of any. This way I won't be doing any good in my career. Any advice as what to do ?

Don't you guys think we need live programming?

Like a development runtime, instead of doing this whole file based development thing? We edit files, and then run them, why aren't we just running a program constantly and editing it as it runs? It would let us inherently take advantage of concepts like objects and lists instead of having to build plugins that analyse and modify our files to sort of act like complex programming data structures.

If we just programmed using these complex data structures to begin with.

Like do you realise how antiquated the idea of a file is, and folder, that's literally a paper based analogy.

Imagine if we just had objects, with pointers and property names, the best we have is ln -s file1 file2 but that's not a real pointer.

Anyway, hope someone understands me!

I'm writing a medium article called a world beyond files but I'm stuck at how low level to go and who the audience of the article should be.

I went really in depth into what this idea of an "object" is, and how it can be expressed in a file but once a program picks it up it becomes much more and almost alive.

#wk6 coolest bug: it was first year CS and we were learning data structures. the assignment was a maze solver using stacks. I couldn't figure out the issue I had and went to sleep. my dream that night was in code (one of a few times it's happened) and I woke up mid-night and typed it in and it worked. slept like a baby after that.

Recipe for reverse engineering data structures / binary formats:

1℅ understanding the theory.
1℅ expections about what you will find.
3% luck.
45% trial and error.
50℅ persistence.

Got rejected in an interview today, because I lack knowledge in Data Structures and Algorithms. 😔😞

I guess I'll have to bursh up my Algo skills again.

I feel like a total dickhead, might fuck around and implement some data structures and algos in c++ later idk.

So, our university has this something called "E-LAB", a portal where students copy and paste codes from hacker-earth, in order to get marks in their internals.
The fun part is, the questions in our online portal are itself copied from hacker-earth, and other technical platforms.
And even funnier, our faculties can't solve a single problem, and they expect us to do, 80+ out of 100.
I mean, WTF!!!

Me(the first day fo spring semester): Data Structures and Algorithms shouldn't be too hard of a class! This will be interesting!

Me(a couple days into class): I don't understand anything she's saying and the programming problems are in some pretty rough English...why me?!?

After 5 frustrating days, I have my laptop running again. Just in time for a data structures and algorithms exam.
TL;DR: driver issues aren't fun.

It all started on Friday, after the creators update. I was doing notes on lectures, and Windows crashed. I thought not much of it, it was just a "random" crash. I'd gotten a similar crash before, but I didn't think anything of it. This time was different, again it was my touchpad drivers that caused the issue, but this time a restart didn't work. I couldn't boot into Windows. I had to roll back to the last recovery point, effectively undoing the update.
This was fine, and fixed the issue, until Windows automatically updated my touchpad again, after me previously changing the driver. Another restart later and I couldn't boot. Time to roll back to recovery, right? Wrong. My drive had somehow, corrupt most of the Windows files.
And so, starts the journey of dismantling my laptop, changing the hard drive and putting it back together, a process that took 3 days due to not having the correct tools originally, and a late delivery.
(I could have rolled back to my backup system image, but that was before the creators update, and would have essentially postponed the issues I was having)
Finally, I managed to get Windows loaded from boot media (thankfully, they seem to tie your Windows licence to your account now) and am currently in the process of regaining all my lost files (which I have to pull from a system image, so it's a lot of digging through compressed files).
On a positive note, things are running well, and the faster hard drive (7200rpm vs 5400rpm) is a nice upgrade. And the touchpad drivers (the same one that kept crashing) haven't caused any problems since.
Now at least, I can get back to programming :D

This was in 1st semester and our CSE course went under some major course revision. Python was to be taught in place of C. Now the professor we had was very famous and we were excited to be in his class. But little did we knew he had no knowledge of Python at all. He used to tell the lab assistant to teach.It was so bad that I lost all interest in programming!!
But we all studied python later in our winter holidays for further courses.
Next semester we had OOP and this is what happened:
1st lab:
Professor(different): I expect you have basic knowledge in programming so I have uploaded.
Every question was related to structures in C.
In the same semester, we had data structures where we were 'expected' to know C or C++.
Later we came to know that Python was not going to be of any use in any course ! First semester went into dustbin.
/*
It was pretty long rant. Hope you didn't get bored :P
*/

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.

There's very little good use cases for mongo, change my mind.

Prototyping maybe? Rails can prototype, create/update/destroy db schemas really quickly anyways.

If you're doing a web app, there's tons of libs that let you have a store in your app, even a fake mongo on the browser.

Are the reads fast? When I need that, use with redis.

Can it be an actual replacement for an app's db? No. Safety mechanisms that relational dbs have are pretty much must haves for a production level app.
Data type checks, null checks, foreign key checks, query checks.
All this robustness, this safety is something critical to maintain the data of an app sane.

Screw ups in the app layer affecting the data are a lot less visible and don't get noticed immediately (things like this can happen with relational dbs but are a lot less likely)

Let's not even get into mutating structures. Once you pick a structure with mongo, you're pretty much set.
Redoing a structure is manual, and you better have checks afterwards.

But at the same time, this is kind of a pro for mongo, since if there's variable data, as in some fields that are not always present, you don't need to create column for them, they just go into the data.

But you can have json columns in postgres too!

Is it easier to migrate than relational dbs? yes, but docker makes everything easy also.

When I started uni and I took my first programming subject (Data Structures) I hated it as much as I could. My teacher was a complete @$$hole, he wasn't good at teaching, and most people were failing the subject. When I finished that semester I swore I would never be a programmer...
11 years later and I have a Master's in IT and have been working as a Software Engineer for 6+ years. #life
I wish I had a better experience learning the basics

Well Its internship season in the college now... I am a developer and companies will come and wont even look at us(the devs) .. Because apparently all they want is data structures(sigh)... What should I do?? ?

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!

Anyone wana recommend me books for algorithms and data structures?

How can Javascript, one of the MOST WIDELY used and MATURE languages with A MILLION CANCEROUS FRAMEWORKS, NOT have a basic collections class? Are data structures not important in Javascript?

I've been struggling all night trying to get Sets working - surprise, they're utterly useless in Javascript cause you can't define the set comparator.

I just lost it when I found out THERE ISN'T EVEN A QUEUE. WT-ACTUAL-F

Not so much a problem with the way CS is taught, but I think it's a problem that a lot of people put emphasis ONLY on programming (and maybe data structures and algorithms) and ignore things like Computer Architecture or Theory of Computation.

Most of the CS syllabi I've seen are built very well, but many students (and some teachers) seem to ignore a bunch of subjects because they don't contribute to making them "hireable".

i wish i had no university classes (or at least, only programming classes) so that i could learn more about different technologies and had more time to code :(

Perhaps as a tip for the junior devs out there, here's what I learned about programming skills on the job:

You know those heavy classes back in college that taught you all about Data Structures? Some devs may argue that you just need to know how to code and you don't need to know fancy Data Structures or Big o notation theory, but in the real world we use them all the time, especially for important projects.

All those principles about Sets, (Linked) lists, map, filter, reduce, union, intersection, symmetric difference, Big O Notation... They matter and are used to solve problems. I used to think I could just coast by without being versed in them.. Soon, mathematics and Big o notation came back to bite me.

Three example projects I worked in where this mattered:
- Massive data collection and processing in legacy Java (clients want their data fast, so better think about the performance implications of CRUD into Collections)
- ReactJS (oh yes, maps and filters are used a lot...)
- Massive data collection in C# where data manipulation results are crucial (union, intersection, symmetric difference,...)
Overall: speed and quality mattered (better know your Big o notation or use a cheat sheet, though I prefer the first)
Yes, the approach can be optimized here, but often we're tied to client constraints, with some room if we're lucky.

I'm glad I learned this lesson. I would rather have skills in my head and in memory than having to look up things and try to understand them all the time.

Data Structures professor enters class, today's topic being RBTs. He opens slides, forgot to redact the name and university from where he blatantly copied it from. Continues anyways. *Facepalm*

Hey guys and girls, quick question.
Im currently writing my own collection-framework in Go.
It has a Collection-Interface, that looks like this:
Clear()
Size() int
ToSlice() []interface{}
Add(...interface{}) error
Remove(...interface{}) error
Contains(...interface{}) (bool, error)

The library should also contains stuff like stacks and queues, so datastructures, that dont fit that interface perfectly.

So should i write a weird implementation of the interface for them, like Remove for stacks (high pitched internal screaming), or should i just say fuck it, and dont implement the Collection-Interface for these specific types ?

What do you guys think about competitive programming, how does it impacts your programming in the long run?
I feel depressed when I take more than enough time to complete a competitive programming challenge marked as "Easy". 😥

I need cyclic data structures but algebraic data types are my first love and tying the knot is impossible with the eagerness F# has. The interfaces and classes I abandoned C# for are the ones I am now writing in F#. What a job well done on my part in avoiding mutability :(

I've been given a huge stack of paper, some users stories and loose specs. Was tasked with engineering the specific requirements, then the models and finally the database. Then I need to build an API on top of that.
Stuff I'll use is Go and Postgresql. Small issue is, I've never done DBs, so I've no idea what to do or where to start.

Does anyone have any resources to help kick-start myself in this field? I've been reading on SQL, but that doesn't really tell me anything about data structures and how to transform those user stories into product requirements.

Playing pokemon. I'm extremely into the series and played nearly every gen since the first ones. Even bought the cheap 2ds just to play these 3ds versions even tho i got acutally no time during exams and sometimes even played the different editions of the same gen just because i can.😅

And I have the habit to think about "how is it done?" With everything that is displayed on a screen or just blinks. And with 800 pokemon and their stats and subforms and IVs and all that nerdshit (back then compressed in such a small rom and running on pretty low end devices) i began to think about data structures, organization of them and such, especially when there are many big, wide datasets.😪

Oh god, structure alignement, why you do this... You might be interested if you do C/C++ but haven't tried passing structures as binary to other programs.

Just started working recently with a lib that's only a DLL and a header file that doesn't compile. So using python I was able to use the DLL and redefined all of the structures using ctypes, and the nice thing is: it works.

But I spent the whole afternoon debugging why the data in my structures was incoherent. After much cussing, I figured out that the DLL was compiled with 2 bytes packing...

Packing refers to how structures don't just have all the data placed next to each other in a buffer. Instead, the standard way a compiler will allocate memory for a structure is to ensure that for each field of the structure, the offset between the pointer to the structure and the one to the field in that structure is a multiple of either the size of the field, or the size of the processor's words. That means that typically, you'll find that in a structure containing a char and a long, allocated at pointer p, the double will be starting at p+4 instead of the p+1 you might assume.
With most compilers, on most architectures, you still have the option to force an other alignment for your structures. Well that was the case here, with a single pragma hidden in a sea of ifdefs... Man that took some time to debug...

I learnt Java in 2 months from 0 (or 0.005), a year before going to college. (the full experience™️; not just String, while and sysoCtrl+space)
On "Data Structures and Algorithms" class, the teacher says something like "usually OOP takes like 2 years to learn completely".
Me in my mind: "Aaahh I'm so proud of myself. *selfhugs*"

Of course I knew the teacher was exaggerating but even if she doubled what she thinks, I still was in the cool range. B|

When my teacher starts talking about linked lists, stacks, and queues

fuck the guy that writed the api that I consume at my company

he's not the worst guy ever, and he might be going through some stuff in life, or maybe he's just happy. There's no way to know actually.

but fuck him. fuck this fucking guy. fuck him with a thousnd dicks.

this guy defends his postures on the api like this thing was fucking sacred and masterly designed ok?

if I ask him to change one url's method from get to post so that I can send more longer data for the request, he comments "i cant believe they still haven't figured out a get request with a body". I appreciate him caring abkut the correctness.

but this is the same piece of shit that makes NOOO fucking validations on whatever I send to it. I get 500 for fucking EVERYTHING.

And if he does 400, the actual response messages are garbage, the same fucking text with no explanation.

FUCK YOU!!!!!!

I hate the way he structures the names of the url and the parameters, sometimes I have to send arrays of strings, other times arrays of objects, the naming is garbage and INCOSISTENT.

And when we asked him to do the API dotnet core, he was like "nah" FUCK YOU FOR USING SOON TO OBSOLETE TECHNOLOGIES!!!
THIS PIECE OF SHIT IS SLOW, because a coworker did another spi in core and the response times are hugely better.

I wouldnt mind if he was 100% of the time careless, but he actually makes a stand for his ideas, as if he actually gave two shits.

he's actually an ok guy though but... fuck hiim!!!! ive been holding onto this for a while... and I'm sure I have some flaws too.

Algo question: Tree data structures while drawn as Nodes with children, are usually better implemented with (resizable) arrays?

Why the fuck do you ask Data Structures and SQL queries for a Data Science interview?

I feel pity on those companies who evaluate people based on the above for DS position.

tl;dr i am proud of my universal program but annoyed it won't get appreciation.

<brag type='slightly'>the last three days i refactored my various snippets to a kind of modular and scalable software package. restricted to a rigid company system i make use of the technologies i feel confident in. so i created a javascript app that can be used with internet explorer. it is a neat tool to work smarter and mainly to make repetitive writing tasks efficient using predefined textblocks that have automated linguistic adjustments and are multilingual usable. after refactoring it is possible to extend any desired functionality by just adding another module. i learned a lot about implementing separated data structures, data processing, output and asynchronous script loading (and the annoying limitations of ie11).</brag>

i kept in mind that this tool might not only help my personal duties to be done more efficient but also might come in handy to all my colleagues having similar tasks to do. the downside is my colleagues having irrational computerphobia and i know for sure they will proceed to do these repetitive writings manually resulting in inconsistencies and an inefficient time management. while my wise wife tries to convice me that at least i had fun coding this stuff and having it supporting me with annoying tasks, it still bothers me being the only user, as it means no progression for the company. it riddles me how the colleagues, acknowledging us all being craftspeople in the first place, avoid use of computers whenever possible and rather rely on medieval working flows.

i find it quite amusing to be the 'can you fix my printer'-guy, but i just cannot handle this attitude. and everyone complains about having so much to do. get your shit together and start clicking these few buttons goddammit!

Dell Summer Internship Experience 

Firstly,to be a part of this process it is important to clear the exam conducted by college and according to me it wasn't something which can't be easily achieved so to prepare of this exam stick to basics of all subjects which have been taught so far till semester majorily data structures,data base,Java,C, operating system were asked.Basics of all following subjects should be clear which also going to help during internship.I myself prepared for the test from geeksforgeek.I tried to gain as much as basic knowledge of subjects I can.And after selecting from test you have you go through hackathon on that personally I think one should be prepared with latest demanding skills.Mostly all the hackathon topics were in and around Machine Learning,Block chain,Web development,Databases.So typically should be aware of all these technologies and how this can be used to enhance in project.During hackathon days it is important to be interactive,it  is good to clear doubts or explain your idea and how innovative you project is and how different it can be and further keep in mind how your project can be industrial utilized.Try to make your project more in aspect of how industry going to adapt this or how this problem's solution is perfect in every terms for a company.And majorily at last it comes down to how to present your project infront of your panel.I think keep that session as much as interactive you can,try to answer their queries,and most importantly know your part of the project very well on theoretical as well as on code level. At last you have to go through a HR interview in which firstly you have to be prepare with a nice resume in which you to include all your achievement's,projects and most importantly keep it short and simple and include only those things which you are completely aware of.For interview first try to know and learn about company, it's goals,in what field it is presently working and during interview there is nothing to worry about you just have to talk like you are talking with a normal person,express all your views ,try to speak out. Confidence is one important thing for this interview.So this was conclusion of my experience from hackathon hiring process from Dell.

I started learning Golang, at first sign I like it since I came from C++ background so seems very friendly at first sight.

Yesterday I took some time to read algorithms and data structures book and some patterns of language looks quite different for me anyway.

Someone has a good detailed explained book, tutorial or whatever for Golang to share?

I tried the documentation but I didn't understand it too much, looks very advanced for someone is newbie on the language.

Can anyone help me with this theory about microprocessor, cpu and computers in general?

( I used to love programming when during school days when it was just basic searching/sorting and oop. Even in college , when it advanced to language details , compilers and data structures, i was fine. But subjects like coa and microprocessors, which kind of explains the working of hardware behind the brain that is a computer is so difficult to understand for me 😭😭😭)

How a computer works? All i knew was that when a bulb gets connected to a battery via wires, some metal inside it starts glowing and we see light. No magics involved till now.

Then came the von Neumann architecture which says a computer consists of 4 things : i/o devices, system bus ,memory and cpu. I/0 and memory interact with system bus, which is controlled by cpu . Thus cpu controls everything and that's how computer works.

Wait, what?
Let's take an easy example of calc. i pressed 1+2= on keyboard, it showed me '1+2=' and then '3'. How the hell that hapenned ?

Then some video told me this : every key in your keyboard is connected to a multiplexer which gives a special "code" to the processer regarding the key press.
The "control unit" of cpu commands the ram to store every character until '=' is pressed (which is a kind of interrupt telling the cpu to start processing) . RAM is simply a bunch of storage circuits (which can store some 1s) along with another bunch of circuits which can retrieve these data.

Up till now, the control unit knows that memory has (for eg):
Value 1 stored as 0001 at some address 34A
Value + stored as 11001101 at some address 34B
Value 2 stored as 0010 at some Address 23B

On recieving code for '=' press, the "control unit" commands the "alu" unit of cpu to fectch data from memory , understand it and calculate the result(i e the "fetch, decode and execute" cycle)

Alu fetches the "codes" from the memory, which translates to ADD 34A,23B i.e add the data stored at addresses 34a , 23b. The alu retrieves values present at given addresses, passes them through its adder circuit and puts the result at some new address 21H.

The control unit then fetches this result from new address and via, system busses, sends this new value to display's memory loaded at some memory port 4044.
The display picks it up and instantly shows it.

My problems:
1. Is this all correct? Does this only happens?

2. Please expand this more.
How is this system bus, alu, cpu , working?
What are the registers, accumulators , flip flops in the memory?
What are the machine cycles?
What are instructions cycles , opcodes, instruction codes ?
Where does assembly language comes in?
How does cpu manipulates memory?
This data bus , control bus, what are they?
I have come across so many weird words i dont understand dma, interrupts , memory mapped i/o devices, etc. Somebody please explain.

Ps : am learning about the fucking 8085 microprocessor in class and i can't even relate to basic computer architecture. I had flunked the coa paper which i now realise why, coz its so confusing. :'''(

1. Teach DS and Algos. Not basics but advanced data structures and the ones that are recently published.
2. DBMS should show core underlying concepts of how queries are executed. Also, what data structures are used in new tech.
3. Teach linkers, compliers and things like JIT. Parsers and how languages have implemented X features.
4. Focus on concept instead of languages. My school has a grad course for R and Java. (I can get that thing from YouTube !!)
5. Focus a little on software engineering design pattern.
6. It's a crime to let a developer graduate if he doesn't know GIT or any version control. Plus, give extra credits for students contributing to open source. Tell them if they submit a PR you get good grades. If that PR gets merged bonus (straight A may be ?)
7. Teach some design pattern and how industry write code. I am taking up a talk at school to explain SOLID design pattern.

Mostly make them build software!
Make them write code!
Make them automate their homeworks!

Make them an educated and employable student.!

The spanish word for queue is "cola" wich is a synonim for ass, so putting things in a queue can have some unintended meaning here.