About six months ago I decided I wanted to learn to write a neural network from the ground up, using only the C++ standard lib. Had to learn some linear algebra, multivariable calc and a dash of wizardry.

The mathematics of neural networks is still one of the coolest things I've ever learnt. It still marvels me that you can make a specialized mini-brain out of nothing but numbers.

To become an engineer (CS/IT) in India, you have to study:
1. 3 papers in Physics (2 mechanics, 1 optics)
2. 1 paper in Chemistry
3. 2 papers in English (1 grammar, 1 professional communication). Sometimes 3 papers will be there.
4. 6 papers in Mathematics (sequences, series, linear algebra, complex numbers and related stuff, vectors and 3D geometry, differential calculus, integral calculus, maxima/minima, differential equations, descrete mathematics)
5. 1 paper in Economics
6. 1 paper in Business Management
7. 1 paper in Engineering Drawing (drawing random nuts and bolts, locus of point etc)
8. 1 paper in Electronics
9. 1 paper in Mechanical Workshop (sheet metal, wooden work, moulding, metal casting, fitting, lathe machine, milling machine, various drills)
And when you jump in real life scenario, you encounter source/revision/version control, profilers, build server, automated build toolchains, scripts, refactoring, debugging, optimizations etc. As a matter of fact none of these are touched in the course.
Sure, they teach you a large set of algorithms, but they don't tell you when to prefer insertion sort over quick sort, quick sort over merge sort etc. They teach you Las Vegas and Monte Carlo algorithms, but they don't tell you that the randomizer in question should pass Die Hard test (and then you wonder why algorithm is not working as expected). They teach compiler theory, but you cannot write a simple parser after passing the course. They taught you multicore architecture and multicore programming, but you don't know how to detect and fix a race condition. You passed entire engineering course with flying colors, and yet you don't know ABC of debugging (I wish you encounter some notorious heisenbug really soon). They taught 2-3 programming languages, and yet you cannot explain simple variable declaration.
And then, they say that you should have knowledge of multiple fields. Oh well! you don't have any damn idea about your major, and now you are talking about knowledge in multiple fields?
What is the point of such education?
PS: I am tired of interviewing shitty candidates with flying colours in their marksheets. Go kids, learn some real stuff first, and then talk some random bullshit.

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

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

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

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

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

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

Interviewer: How will you solve the travelling salesman problem?

Me: *explains the solution on whiteboard*

Interviewer: It is slow. Can you do it in linear time at least?

Me: It is NP hard so it is not possible. For a restricted case, it may be possible

Interviewer: You are stupid. Do not apply again.

Perfect Linear Model!

Shower Thought :
I wonder, in the future, since people is easily offended by everything, variable naming would be such a concern it'll be seriously implemented in the compiler, and be like
"Error at 16:1 NamingConventionError : 'fuckThis' is not linear with our guidelines"

The deeper I dig into HP's designs, the more I realize how amazing they are.

- Let's put 18.5V on our charger label
- Let's make it actually put out 20V, just because 🤪
(Note: this is a SMPS, not one of those old linear ones where that's normal)
- Let's make our charger output positive on not only 1 line, but also a second smaller one, just because. All the while the thicker line is more than capable enough, and the same size as the negative line.
(So essentially there's 2 positives, one negative)
- Fuck conventional wiring colors (red for positive, black for negative). Let's awaken our 'murican patriotism and make positive black, and negative white.
- Oh those are the colors for American AC lines and not DC lines? I had no idea! But look, I have a shiny piece of paper and you don't so your concern is invalid!

I lost more brain cells from these realizations than I would from a whole night of binge drinking. WHAT THE FUCK IS WRONG WITH YOU HP?!!

Books and command lines.

I don't like teachers.

I think it's because my learning process is very async and chaotic. When I see a snippet in Golang, I relate it to PHP, Rust and Haskell. I jump to resolving the problem in other languages, trying to find out which approaches work in Go.

Then I read about some computer science concept on Wikipedia and get lost in that while my hunger for knowledge and food increases. After a while I look up a recipe for a pasta salad, and while cutting bell peppers, I see the recipe in terms of typed morphisms, I sprinkle and intersperse ingredients through mapping functions, then decide to write an interpreter for the esoteric "Chef" language in Go so I can interpret my salad recipe while eating it.

Voila, I'm learning Go.

I have no patience for linear mentoring, and others have no patience for mentoring me.

But that's OK.

Linear Algebra sometimes needs some workarounds too...

Ooh this is good.

At my first job, i was hired as a c++ developer. The task seemed easy enough, it was a research and the previous developer died, leaving behind a lot of documentation and some legacy fortran code. Now you might not know, but fortran can be really easily converted to c, and then refactored to c++.

Fine, time to read the docs. The research was on pollen levels, cant really tell more. Mostly advanced maths. I dug through 500+ pages of algebra just to realize, theres no way this would ever work. Okay dont panic, im a data analyst, i can handle this.

Lets take a look at the fortran code, maybe that makes more sense. Turns out it had nothing to do with the task. It looped through some external data i couldnt find anywhere and thats it. Yay.

So i exported everything we had to a csv file, wrote a java program to apply linefit with linear regression and filter out the bad records. After that i spent 2 days in a hot server room, hoping that the old intel xeon wouldnt break down from sending java outputs directly to haskell, but it held on its own.

Please. Hear me out.

I've been doing frontend for six years already. I've been a junior dev, then in was all up to the CTO. I've worked for very small companies. Also, for the very large ones. Then, for huge enterprises. And also for startups. I've been developing for IE5.5, just for fun. I've done all kinds of stuff — accessibility, responsive design (with or without breakpoints), web components, workers, PWA, I've used frameworks from Backbone to React. My favourite language is CSS, and you probably know it. The bottom line is, you name it — I did it.

And, I want to say that Safari is a very good browser.

It's very fast. Especially on M1 Macs. Yes, it lacks customization and flexibility of Firefox, but general people, not developers, like to use it. Also, Safari is very important — Apple is a huge opposing force to Google when it comes to web standards. When Google pushes their BS like banning ad blockers, Apple never moves an inch. If we lose Safari, you'll notice.

As for the Safari-specific bugs situation, well… To me, Safari serves as a very good indicator: if your website breaks in Safari, chances are you used some hacks that are no good. Safari is a good litmus test I use to find the parts of my code that could've been better.

The only Safari-specific BUG I encountered was a blurry black segment in linear gradients that go from opaque to transparent. So, instead of linear-gradient(#f00, transparent), just do linear-gradient(#f00f, #f000).

This is the ONLY bug I encountered. Every single time my website broke in Safari other than that, was for some ugly hack I used.

You don't have to love it. I don't even use it, my browser of choice is Firefox. But, I'm grateful to Safari, just because it exists. Why? Well, if Safari ceases to exist, Google will just leave both W3C and WhatWG, and declare they'll be doing things their way from now on. Obey or die.

Firefox alone is just not big enough. But, together with Safari, they oppose Google's tyranny in web standards game.

Google will declare the victory and will turn the web into an authoritarian dictatorship. No ad blockers will be allowed. You won't be able to block Google's trackers. Google already owns the internet, well, almost, and this will be their final, devastating victory.

But Safari is the atlas that keeps the web from destruction.

I guess my best AHHA moment was back when I learned that good code is simple code.

When I started out I wanted to prove myself by showing of how good of a programmer I was(and which I retrospectively wasn't) , which basically meant to use every high level concept I was aware of whenever possible. Multi threading where linear execution would have been totally okay, polymorphism with x meta classes where a switch would have been enough, all that shit.

It wasn't until I had to guide the first person through that mess of useless ego stroking that I found out how much time and money I wasted by not going with the easiest approach that solves the problem.

Took me some time to fully lay off that attitude but it surely was one of the most influential moments of my career.

A new linear time O(N) sorting algorithm [Keep it secret 🔒]

* Compare two adjacent elements one by one starting from the first element
* If there are out of order, delete the second element and continue with step 1
* If in order, go to the next two elements
* Once done, act like the numbers you deleted never existed

Works all the time.
Not yet published. Thinking of a good name for it.

!rant.
The 'Essence of Essential Algebra' is an amazing YouTube playlist by 3Blue1Brown to watch if you want to start understanding the algebraic concepts underlying Machine Learning!

Saw time in a digital clock (HH:MM) [05:14] thought I should take a 1 minute break and decided to start at 05:15.

2 seconds later its 05:15......fuuuuuuuuuuuu

Today on forgotten games – Ballance.

The game is absolutely outstanding. Graphics is absolutely amazing even though the game was developed in 2004. The sound effects are perfect, I can literally feel the wooden ball rolling on steel rails. The background music is also amazing, we're talking Alexander Brandon level here.

The game is about rolling the ball through the levels trying not to fall off. There are three balls: the stone one, the wooden one and the paper one, different in weight, velocity and momentum.

I admire the clever level design. It uses in-game map features in multi-purpose way, for example some levels use ball transformers (the things that transform the ball from one kind to another) as a trap for your ball to lose momentum. It even seems like that levels were designed by some crazy modders for advanced players, but they weren't, and traveling through them feels like you're a pro gamer playing custom levels.

Even though levels seem simple at first glance, they allow non-linear gameplay and different gaming styles.

The gameplay itself is pure meditation. But even though the concept seem straightforward – just follow the level and don't fall – it's not. You have to use all three ball types: there are air vents to fly above upon, which only paper ball can do, there are obstacles to push, which only stone ball can do, and so on.

For additional sonic satisfaction the levels even feature some metal domes that serve no purpose but to be bumped into just for making amazing gong sound.

I like it that when you get cocky and think like that's easy, I got this, the game quickly puts you into place. It basically says nigga you ain't shit, you got nothing on me.

Overall it's basically a mesmerizing travel through cleverly designed levels surrounded by relaxing music and outstanding graphics.

Definitely a must-have for mechanical keyboard gamers, it's a pure satisfaction playing this game with a great level of precision and control mechanical keyboard allows.

Search for "ballance widescreen fix" for modern displays support.

!rant

I'm building a complex software that computes stuff with advanced algorithms and linear programming. That kind of software that proved itself strong, but you know a bug discovery would be a disaster.

The client is a dick, always acting as a bully in every email.

Last email, writes me about a supposed error of the software, while of course complaining that the software is complete crap to ensure that I keep a positive attitude.

After some hours of trying to find the cause of the fucking problem, I realized that the software was actually right since the beginning.

I've replied explaining *why* the software says what it says (acting like it was the most obvious thing in the world). Waiting for a response.

I hope that moron will feel humiliated at least a little bit.

Had an interview with a potential customer last week, and he started questioning my technical capability in the middle of the discussion on the basis that I’m taking notes with pen and paper...

Yes, I can type. At 90+ WPM, I can darn near produce a transcript of everything we say. But I won’t remember any of it afterward, because it passes straight from the ears to the hands without any processing.

“You see, that’s what we have something called ’search’ for...”

...Yeah. Except that doesn’t help with picking out the most important points from a wall of text, organizing it in a way that allows visualizing relationships between concepts, and other non-linear things that are hard to do on the fly in a word processor.

“Well, how about we get you a tablet with a pen and you can just write on that, then?”

How about no.

Ended up turning him down because of other concerns that were raised that were, suffice to say, about as ornerous as you might expect from that exchange.

Happened with me☺☺

I'M BACK TO MY WEBDEV ADVENTURES GUYS! IT TOOK ME LIKE 4 MONTHS TO STOP BEING SO FUCKING DEPRESSED SO I CAN ACTUALLY STAND TO WORK ON IT AGAIN

I learned that the linear gradient looks cool as FUCK. Honestly not too fond of the colors I have right now, but I just wanted to have something there cause I can change it later. The page has evolved a bunch from my original concept.

My original concept was the bar in the middle just being a URL bar and having links on the sides. If I had kept that, it would have taken me a few hours to get done. But as time went on when I was working on it, my idea kept changing. Added the weather (had a forecast for a while but the code was gross and I never looked at the next days anyways, so I got rid of it and kept the current data). I wanted to attempt an RSS reader, but yesterday I was about to start writing the JavaScript to parse the feeds, then decided "nah", ended up making the space into a todo list.

The URL bar changed into a full command bar (writing the functions for the commands now, also used to config smaller things, such as the user@hostname part, maybe colors, weather data for city and API key, etc)....also it can open URLs and subreddits (that part works flawlessly). The bar uses a regex to detect if it's a legit URL (even added shit so I don't need http:// or https://), and if it's not, just search using duckduckgo (maybe I'll add a config option there too for search engines).

At this very moment it doesn't even take a second to fully load. It fetches weather data from openweathermap, parses it, and displays it, then displays the "user" name grabbing a localstorage value.

I'm considering adding a sidebar with links (configurable obviously, I want everything to be dynamic, so someone else could use my page if they wanted), but I'm not too sure about it.

It's not on git yet because I was waiting until I get some shit finished today before I commit. From the picture, I want to know if anyone has any suggestions for it. Also note that I am NOT a designer. I can't design for shit.

Work for 2 days trying to solve a Level 2 foobar problem and then realize I need to know linear algebra to solves matrices programmatically... And the results have to be in Fractions

Honestly, i hate math or actually i hate that i suck at it. I graduated CS and if u put a math problem any bit more advanced than basic linear equations i will turn red. I wish i was good at it. I think if i was, id be able to do much more cool shit because combining math and the ability to control a computer basically makes you a demi god.

If i had some free time i’d love to go over the basics on khan academy or something. But free time doesnt come by a lot coz we’re too busy trying to make money and id rather just rest and chill when it does.

Tho if a cute girl offered to tutor me in that free time i’d definitely say yes 🧐

#sky {
background: linear-gradient(rgb(134, 167, 225) 71% , rgb(230, 144, 101));
}

-- commited by ADM

True story

.me {
transform: get-fat(20kg);
transition: transform 4years linear;
}

I'VE BEEN PLAYING WITH CSS SOME, AND I FOUND OUT ABOUT THE LINEAR-GRADIENT THING

IT IS SO FUCKING COOL GUYS

Algorithms real life implementation

On the way to your college canteen? -> A* search

Waiting in line in the canteen? -> Queue

Notice that girl standing in front? -> Linear search

Searching for her dad in the phone book? -> Binary search

Stupid! Google it! -> Trie

Search for her on Facebook! -> Depth-first search

Found her! Friend request? Accepted! Send a Hi! -> Graph

Writing her a secret love letter? -> Caesar cipher

Uploading your first date pic on fb? -> Image compression algorithms

Looking through her Whatsapp messages? -> KMP algorithm

She found out and had your first fight? -> Start over with some gifts! Backtracking

Got her list of items to buy? -> Array

Too many items! Low on cash, maybe? -> Priority queue

Making her play treasure hunt for her gifts? -> Linked list

Wait! Go back! Is that a ring? -> Stack

Girl’s family not agreeing to your proposal? -> Divide and conquer

Got married? Congrats! Going for your honeymoon? -> Travelling salesman problem

Your mom packing luggage for you? -> 0/1 Knapsack problem

She packed your favorite pickles? -> Hash table

Driving to the airport? -> Breadth-first search

!rant
The more I learn about advanced C++ the more I love this language. C++'s template system is so insanely cool!
Just made a proof of concept expression templates based linear algebra library for my own projects. It was actually a lot of fun to make, and seeing it spit out optimized, loop-fused code with no temporary variables...magic.
Long live C++.

Being a programmer in a scientific discipline can be infuriating.

using "no one" ="almost no one"
using everyone = "almost everyone"

1. No one knows what even the very idea of good practice is. And everyone refuses to learn. 3k lines of repetitive copy pasted main. 500 lines of plotting method.

2. Raw C-style pointer based array creation. Won't use develope array libraries because what if development stops. FUCKING HAVE YOU SEEN YOUR CODE WHAT IF DEVELOPMENT ON YOUR CODE STOPS. FUCK.

3. LOOP VARIABLES DECLARED AT THE BEGINNING OF THE METHOD WHY.

4. Everyone wants to make modular, independent code. No one wants to use OOP. NOPE. ALL IN ONE FILE. WRITE C++ LIKE A FUCKING PYTHON NOTEBOOK. FUCK.

5. LIBRARIES OH MY GOD PLEASE DO NOT CODE UP YOUR MATRIX MULTIPLICATION. PLEASE DO NOT TRIPLE LOOP IT. NO. THE LINEAR ALGEBRA LIBRARY WILL STAY IN DEVELOPMENT.

6. Please realize that literally not one comment over an 1800 line file does not help anyone.

FUCKING. WHY. WHY ARE WE SCIENTISTS SO GOOD AT SCIENCE AND SO FUCKING SHIT AT THE CODE THAT MAKES OUR SCIENCE HAPPEN. WHY. FUCKING. WHY. FUCK.

Felt like a real badass in middle school when I made my first .bat script that would recursively open itself. Took only two words. Four if you wanted exponential recursion rather than linear. And I came up with it by myself.

Cheesiest thing ever, but I really loved freaking people out by opening it and just watch windows grind to a halt as it would run out of ram opening thousands of terminal windows. Hell, it still gives me a kick today when I show it to people the first time :D

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.

Just learned how to solve linear recurrence problems with matricial calculations. This is absolutely wonderful.

Wow, I still remember some math after decades. Today, I needed some parameter calculation in an interval with smooth transition at both ends (i.e. continuously differentiable). So I used a 3rd degree polynomial where the values and derivations gave a 4x4 linear equation system. I lazily hacked that into WolframAlpha, and it works nicely.

YES FUCKING FINALLY. After 8 years of programming professionally, I got to use linear transformations and algebra while coding with javascript in real life.

css quick maffs

so, you want to make a css gradient from a certain color into transparent. The logical way would be doing it like this:

linear-gradient(#112233, transparent)

however, this will cause a blurred black stripe to appear in safari. This is due to safari-specific algorithms (that also make it the quickest browser, especially on arm-powered macs).

stackoverflow and other boubas will suggest doing this:

linear-gradient(#112233, rgba(255, 255, 255, 0))

this is better, but instead of a black stripe, a half-transparent white stripe will appear.

To finally make this gradient render consistently across different browsers, do this:

linear-gradient(#112233, #11223300)

Now, you're only changing alpha. See, CSS is a declarative language, so you should be telling it EXACTLY what you want to achieve. You don't want to change one color into another (in that case, "#112233" into "transparent", yes, they are distinct colors that are totally different. CSS doesn't treat "transparent" in some special way like we do) but to only change the alpha channel of #112233.

Feel free to use rgba notation if you want to support older browsers:

linear-gradient(rgba(11, 12, 13, 1), rgba(11, 12, 13, 0))

aight bye

I've been a programmer for almost 19 years but I actually think the best code I've ever written is something that while it provides value to other people I'm the only one who actually uses it. In the company where I work we have major events that have to be supported by a number of different teams across about 5 time zones and each engineer has a limited set of roles that they can perform during the event. Anyway it was painful just watching people trying to create a schedule so I wrote something with Linear Programming to automatically generate the schedule. It ensures that people don't work for longer than 4 hours in a row, don't work from more than 8 hours from the first hour to the last hour on call, get 12 hours rest between engagements and the work load is evenly distributed across the team. Creating conditions in Linear Programming is weird, imagine trying to turn a series of linear equations into boolean logic, it can be done and once you can wrap your head around it it's really fun. It was my first time writing anything in it and I don't see it coming up a lot in my career. My favourite part of this project is that the end result was that engineers were less exhausted. I really hope that doesn't remain the best code I ever wrote, I don't think it will but it will require a conscious intention.

Most people I talk to in the industry hate the "puzzle-y" nature of interviews (e.g. coding on a whiteboard, now get it to run in linear time, oh wait there's a trick you don't know but could totally look up if given the chance) and acknowledge that it does a poor job determining the value of the prospective hire.

Why then is there no sign of this changing? I realize it's a hard problem to solve but in theory the entire company is at stake when it comes to hiring good/bad devs. You'd think somebody would have come up with a better way.

I don't understand how people can write code, but be completely inept at developing software.

Take a zoom feature:

SOLUTION 0:
- Use 2 buttons
- Use 2 button listeners
- Use 2 float variables (for each button).
- Don't log anything.
- Use 3 crazy, hardcoded, constant, int literals like 66, 30...
- both buttons manipulate the same text field.
- no logging.
- Both listeners use if/else to check if the variable is within a range -- one if/else for each listener.
- Use crazy method calls to get text size.

SOLUTION 1:
- Use a slider.
- Use a single listener.
- No variables needed.
- Use a linear equation for zooming.
- has logging.

I have nothing to play recently so I started playing old games.

Today I launched gta vice city on my old pc. Got more than 200 hours in that game during my childhood. Game from 2002 and I laughed when driving a car. It was so natural and fun. Michael Jackson singing Billy Jean and police chasing my ass when I’m trying to find a bribe in the city. That was fun.

For me most of today’s games can’t compete in gameplay mechanics with that game from 20 years ago.
Maybe we have better graphics but gaming fun got worse.

I think it’s cause most of games are made on commercial engines to save money and game studios focus on graphics cause it’s cheaper than paying software developer.

They focus on games to be competitive between players so ai got worse.

Big studio games became generic like movies, they don’t want you to have fun but they want to give you a story around by delivering lots of content in game, achievements, stars but the gameplay itself is bugged and meh.

They don’t focus on things people want to do but they focus on target groups. Most today’s big title games are meh cause they’re made by people who don’t play them.

They don’t play them cause they don’t have time cause of management that changes requirements cause they asked target groups and that would sell. Well if I play a game I’m not interested in story despite some basic stuff to keep the progress forward, if I wanted a big story I would watch a movie or tv show. I play games to explore, feel the world and have fun. I don’t need a linear deep story for that cause I’m in game so give me good gameplay so I can feel the world.

Most of classic game hits didn’t had tons of text and tons of stuff to do but they somehow wanted you to play more. Cause they were competitive between player and computer, the controls felt natural and while progressing you was eaten by the game mechanics more and more not by the story but by amount of stuff you could do as you progress or difficulty increase or enemies behavior change.

Now we’re getting all at once, mostly pointed and with detailed tutorial what you can do. There’s no explanation there’s no discovery what you can and what you can’t do at start. You get all and you decide to throw game away because the moment you launched it you got everything so you spent money just to get stuff you won’t play cause it’s meh and you go back to cs or other looter shooter to kill people cause you’re pissed off that the game was meh.

Well I’m glad I was a kid in 90s and 2000s cause I could enjoy gaming before it was targeted to broader public and become another shallow mass media industry that don’t give a fuck about gameplay cause they want to tell you so many things, they want you to know them cause they’re so important that they forgot that I can read a book and I came to play game to get a different feeling then reading book.

Modern games are like books filled with small stories and nice graphics where you can open it on every page and read a little piece of shitty crap.

Just take this piece and go to toilet so you can wipe your ass with that story and begin other one, look around, puke and go to toilet to take a dump again. I lost my hope to get something fresh or filled with nice gameplay from gaming industry. It’s dead.

dev, ~boring

This is either a shower thought or a sober weed thought, not really sure which, but I've given some serious consideration to "team composition" and "working condition" as a facet of employment, particularly in regard to how they translate into hiring decisions and team composition.

I've put together a number of teams over the years, and in almost every case I've had to abide by an assemblage of pre-defined contexts that dictated the terms of the team working arrangement:

1. a team structure dictated to me
2. a working temporality scheme dictated to me
3. a geographic region in which I was allowed to hire
4. a headcount, position tuple I was required to abide by

I've come to regard these structures as weaknesses. It's a bit like the project management triangle in which you choose 1-2 from a list of inadequate options. Sometimes this is grounded in business reality, but more often than not it's because the people surrounding the decisions thrive on risk mitigation frameworks that become trickle down failure as they impose themselves on all aspects of the business regardless of compatibility.

At the moment, I'm in another startup that I have significantly more control over and again have found my partners discussing the imposition of structure and framework around how, where, why, who and what work people do before contact with any action. My mind is screaming at me to pull the cord, as much as I hate the expression. This stems from a single thought:

"Hierarchy and structure should arise from an understanding of a problem domain"

As engineers we develop processes based on logic; it's our job, it's what we do. Logic operates on data derived from from experiments, so in the absence of the real we perform thought experiments that attempt to reveal some fundamental fact we can use to make a determination.

In this instance we can ask ourselves the question, "what works?" The question can have a number contexts: people, effort required, time, pay, need, skills, regulation, schedule. These things in isolation all have a relative importance ( a weight ), and they can relatively expose limits of mutual exclusivity (pay > budget, skills < need, schedule < (people * time/effort)). The pre-imposed frameworks in that light are just generic attempts to abstract away those concerns based on pre-existing knowledge. There's a chance they're fine, and just generally misunderstood or misapplied; there's also a chance they're insufficient in the face of change.

Fictional entities like the "A Team," comprise a group of humans whose skills are mutually compatible, and achieve synergy by random chance. Since real life doesn't work on movie/comic book logic, it's easy to dismiss the seed of possibility there, that an organic structure can naturally evolve to function beyond its basic parts due to a natural compatibility that wasn't necessarily statistically quantifiable (par-entropic).

I'm definitely not proposing that, nor do I subscribe to the 10x ninja founders are ideal theory. Moreso, this line of reasoning leads me to the thought that team composition can be grown organically based on an acceptance of a few observed truths about shipping products:

1. demand is constant
2. skills can either be bought or developed
3. the requirement for skills grows linearly
4. hierarchy limits the potential for flexibility
5. a team's technically proficiency over time should lead to a non-linear relationship relationship between headcount and growth

Given that, I can devise a heuristic, organic framework for growing a team:

- Don't impose reporting structure before it has value (you don't have to flatten a hierarchy that doesn't exist)
- crush silos before they arise
- Identify needed skills based on objectives
- base salary projections on need, not available capital
- Hire to fill skills gap, be open to training since you have to pay for it either way
- Timelines should always account for skills gap and training efforts
- Assume churn will happen based on team dynamics
- Where someone is doesn't matter so long as it's legal. Time zones are only a problem if you make them one.
- Understand that the needs of a team are relative to a given project, so cookie cutter team composition and project management won't work in software
- Accept that failure is always a risk
- operate with the assumption that teams that are skilled, empowered and motivated are more likely to succeed.
- Culture fit is a per team thing, if the team hates each other they won't work well no matter how much time and money you throw at it

Last thing isn't derived from the train of thought, just things I feel are true:

- Training and headcount is an investment that grows linearly over time, but can have exponential value. Retain people, not services.
- "you build it, you run it" will result in happier customers, faster pivoting. Don't adopt an application maintenance strategy

/rant

Game reviews on Steam are now like, “Not recommended. Seemed like a good game, but the story is linear and there’s really nothing to do.” …with approximately 180hrs of playtime on record for a $25 game.

Do us all a favor and please continue to stare at your phone while walking into oncoming traffic.

I've written two different real time audio resampling algos (called on source and called on target) using linear interpolation, both in typescript, both work on first try and both perform great. I feel like the omniscient god of web audio processing.

Signet, the google auth library, is somehow throwing a DivideByZero error, despite the only math in the file being linear back-off (`sleep retry++ * 0.3`). Also, the line it’s getting thrown on very specifically throws an entirely different error: a Signet::AuthorizationError.

What is even going on?
Also this worked yesterday.

🥺

Dev nightmares :

- Not finding bug fix on stackoverflow/GitHub .

- Losing code that hasn't been pushed to GitHub.

- Dealing with an unclean and inconsistent database.

- Installing Node Dependencies.

- Resolving CORS and 500s.

- Training a Linear Regression Model with 700 epochs on an entry-level Laptop.

Keep appending to this list.

#devrant #devnightmares

*Nervous student comes in for the first interview I am conducting as a developer*

Me (as an interviewer): What is best approach to search data?

Student: It will take linear time but if data is sorted, we can do it in logarithmic time.

Me: [Smiles] Take a hint Hash Map?

Student: Yes, with it, we can do it in constant time.

Me: Okay, Bloom Filter anytime?

Student: *sweating* noooo...

Me: Okay. I am a developer so I know this.

Student: *about to cry*

Me: No problem but why will you search data when there is no problem? Don't you have better work.

Student: *confused* yup

Me: *laughs but immediately controls* Take it lightly. You know what you need to do this job. You are HIRED. :)

Soooo I have greatly underestimated the value of the shit you can learn in Kaggle, both from the projects that people do and from the learning section that they have. I wouldn't exactly classify them as beginner level or for complete newbies.

By default, if you wanna go and learn about ML then be trady to have some mathematical background to at least the level of Linear algebra, statistics and some basic calculus, everything else can be learned as you go along.

But ye, shit is fucking cool man, they have sooo many cool projects in it. I learned from academic shit in uni and a fuckload of books, but i dig this approach sooo much more.

10/10 would kaggle again

A /thread.

I have to say something important. As the story progresses, the rage will keep fueling up and get more spicy. You should also feel your blood boil more. If not, that's because you're happy to be a slave.

This is a clusterfuck story. I'll come back and forth to some paragraphs to talk about more details and why everything, INCLUDING OUR DEVELOPER JOBS ARE A SCAM. we're getting USED as SLAVES because it's standardized AS NORMAL. IT IS EVERYTHING *BUT* NORMAL.

START:

As im watching the 2022 world cup i noticed something that has enraged me as a software engineer.

The camera has pointed to the crowd where there were old football players such as Rondinho, Kaka, old (fat) Ronaldo and other assholes i dont give a shit about.

These men are old (old for football) and therefore they dont play sports anymore.

These men don't do SHIT in their lives. They have retired at like 39 years old with MULTI MILLIONS OF DOLLARS IN THEIR BANK ACCOUNT.

And thats not all. despite of them not doing anything in life anymore, THEY ARE STILL EARNING MILLIONS AND MILLIONS OF DOLLARS PER MONTH. FOR WHAT?????

While i as a backend software engineer get used as a slave to do extreme and hard as SHIT jobs for slave salary.

500-600$ MAX PER MONTH is for junior BACKEND engineers! By the law of my country software businesses are not allowed to pay less than $500 for IT jobs. If thats for backend, imagine how much lower is for frontend? I'll tell you cause i used to be a frontend dev in 2016: $200-400 PER MONTH IS FOR FRONTEND DEVELOPERS.

A BACKEND SOFTWARE ENGINEER with at least 7-9 years of professional experience, is allowed to have $1000-2000 PER MONTH

In my country, if you want to have a salary of MORE THAN $3000/Month as SOFTWARE ENGINEER, you have to have a minimum of Master's Degree and in some cases a required PhD!!!!!!

Are you fucking kidding me?

Also. (Btw i have a BSc comp. sci. Degree from a valuable university) I have taken a SHIT ton of interviews. NOT ONE OF THEM HAVE ASKED ME IF I HAVE A DEGREE. NO ONE. All HRs and lead Devs have asked me about myself, what i want to learn and about my past dev experience, projects i worked on etc so they can approximate my knowledge complexity.

EVEN TOPTAL! Their HR NEVER asked me about my fycking degree because no one gives a SHIT about your fucking degree. Do you know how can you tell if someone has a degree? THEY'LL FUCKING TELL YOU THEY HAVE A DEGREE! LMAO! It was all a Fucking scam designed by the Matrix to enslave you and mentally break you. Besides wasting your Fucking time.

This means that companies put degree requirement in job post just to follow formal procedures, but in reality NO ONE GIVES A SHIT ABOUT IT. NOOBOODYYY.

ALSO: I GRADUATED AND I STILL DID NOT RECEIVE MY DEGREE PAPER BECAUSE THEY NEED AT LEAST 6 MONTHS TO MAKE IT. SOME PEOPLE EVEN WAITED 2 YEARS. A FRIEND OF MINE WHO GRADUATED IN FEBRUARY 2022, STILL DIDNT RECEIVE HIS DEGREE TODAY IN DECEMBER 2022. ALL THEY CAN DO IS PRINT YOU A PAPER TO CONFIRM THAT I DO HAVE A DEGREE AS PROOF TO COMPANIES WHO HIRE ME. WHAT THE FUCK ARE THEY MAKING FOR SO LONG, DIAMONDS???

are you fucking kidding me? You fucking bitch. The sole paper i can use to wipe my asshole with that they call a DEGREE, at the end I CANT EVEN HAVE IT???

Fuck You.

This system that values how much BULLSHIT you can memorize for short term, is called "EDUCATION", NOT "MEMORIZATION" System.

Think about it. Don't believe be? Are you one of those nerds with A+ grades who loves school and defends this education system? Here I'll fuck you with a single question: if i gave you a task to solve from linear algebra, or math analysis, probabilistics and statistics, physics, or theory, or a task to write ASM code, would you know how to do it? No you won't. Because you "learned" that months or years ago. You don't know shit. CHECK MATE. You can answer those questions by googling. Even the most experienced software engineers still use google. ALL of friends with A+ grades always answered "i dont know" or "i dont remember". HOW IF YOU PASSED IT WITH A+ 6 DAYS AGO? If so, WHY THE FUCK ARE WE WASTING YEARS OF AN ALREADY SHORT HUMAN LIFE TO TEMPORARILY MEMORIZE GARBAGE? WHY DONT WE LEARN THAT PROCESS THROUGH WORKING ON PRACTICAL PROJECTS??? WOULDNT YOU AGREE THATS A BETTER SOLUTION, YOU MOTHERFUCKER BITCH ASS SLAVE SUCKA???

Im can't even afford to buy my First fuckinf Car with this slave salary. Inflation is up so much that 1 bag of BASIC groceries from Walmart costs $100. IF BASIC GROCERIES ARE $100, HOW DO I LIVE WITH $500-600/MONTH IF I HAVE OTHER EXPENSES?

Now, back to slavery. Here's what i learned.

1800s: slaves are directly forced to work in exchange for food to survive.

2000s: slaves are indirectly forced to work in exchange for money as a MIDDLEMAN that can be used to buy food to survive.

????

This means: slavery has not gone anywhere. Slavery has just evolved. And you're fine with it.

Will post part 2 later.

Quarantine day..... i've stopped counting...
Numbers and time have lost all meaning...
I now use my free time to fill paper sheets with various random japanese symbols, learn linear algebra and being a "human" clojure interpreter......
( send help )
My location is the result of multiplying the matrокрызгкруойж п ыТк)4&2(1&/(0 υβεκσ´αω;·3)-@!}€{]¥~+~;];{*<=

<<< COMMUNICATION ABORTED >>>

I was all happy using and applying Machine Learning algorithms until I came to do a Research Internship and now I'm sitting in the lab studying Linear Algebra, Probability and Statistics the whole day just to cope up with the guys who are improving and developing algorithms here!

As a junior dev from a sysadmin and security background, this is a list of software development concepts I never seemed to truly understand but hope to(rated from most intimidating to least):

1) Frontend web development and all the huge world of javascript frameworks and tools. - It's more overwhelming than the political geography of the Holy Roman Empire in the Middle Ages.

2) Machine Learning, Deep Learning and A.I- too much math that fucks with my brain.

3) low-level programming(kernel,drivers) - sounds extremely interesting but the code in assembly/C/C++ looks like Linear A Minoan hieroglyphics.

4) Rx(insert language here) - I never get why it is useful or why someone invented this. Seems interesting though.

5) Code Reflection - sounds like Thelemic magick.

6) Packaging, automation, build tools, devops, CI, Testing -seems too complicated. I just want to run an executable at the client or make a web app that does something. Why all this process?

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

Develop my first mobile app with a restful backend for consumer usage

Learn more about cloud architecture/computing

Finish learning calculus

Learn linear algebra, discrete math, statistics and probability

Maybe start ML this year depending on math progress and time

When I interview a super cocky candidate:

"Write a merge sort algorithm that works in linear time complexity."

True story🥂

Just wondering... anyone else think having a script automatically kill gradle if it runs for more than X amount of minutes would be a great sanity saver?

"Jesus Fucking Zombie Christ I only added ONE FUCKING TEXTVIEW IN A SIMPLE GODDAMNED LINEAR LAYOUT YOU WORTHLESS MOTHERFUCKING PIECE OF SHIT AND GRADLE IS STILL RUNNING AFTER FIVE MOTHERFUCKING MINUTES?!?!?!?!?!!?!?!?!?!"

Starting a project with someone that programs like an idiot on steroids. Like, why are you using 20 switch statements to set a variable instead of of just a single line linear expression. I removed hundreds of lines from one of this ass's files. I've never seen such a complicated mess of garbage.

I just cant Wrap my head around matrices and linear Algebra.

I am currently doing a uni course about this and need to implement some eigenvalue solvers. I somehow manage to implement the stuff with the help of pseudocode and the internet but I have nö idea conceptually what all these things like norms, eigenvalues, conditioning etc are supposed to tell me and why.
How do people handle this so naturally?

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?

When you’re fundraising, it’s AI
When you’re hiring, it’s ML
When you’re implementing, it’s linear regression
When you’re debugging, it’s printf()

During my studies on the university, while preparing for the linear algebra exam I had a dream where I was a matrix in the Jordan normal form.

So, I'm looking into something and end up on Stack Overflow. Someone posted the question:

"Does minified javascript improve performance?"

This question was old as shit, all they way from 07/25/09, and about an Adobe Air application. (Remember that? Me neither...) It had a great, accepted, and still accurate answer, posted the same day the question was asked. Now, fast forward 8 years and on 12/08/17 (A mere 7 months ago...) the following answer was posted. I don't know what they were thinking, but here it is, complete and unabridged, with my comments in square brackets:

"I'd like to post this as a separate answer as it somewhat contrasts the accepted one: [Somewhat contrasts? More like completely contradicts...]

Yes, it does make a performance difference as it reduces parsing time - and that's often the critical thing. For me, it was even just simply linear in the size and I could get it from 12s to 4s parse time by minifying from 3MB to 1MB. [First off, your parse time should NEVER be THE critical thing, but secondly, and more importantly, WHO THE FUCK HAS 1MB OF MINIFIED JS ON A PAGE!!!]

It's not a big app either, it just has a couple of reasonable dependencies. [THERE IS ABSOFUCKINGLUTELY NOTHING REASONABLE ABOUT ANYTHING HE JUST SAID! What dependancies is he using?! You could use minified and not even gzipped jQuery, AngularJS, Vue, Ember, React, AND Dojo libraries on the SAME PAGE, AND have 118k of application code, AND STILL NOT HAVE HIT 1MB QUITE YET!!!]

So the moral of the story here is: Yes, minifying is important for performance - and not because of bandwidth, but because of parsing. [Javascript should NEVER take longer to parse then to download, even on a low powered device...]"

So, yeah, I'm at a loss for what this guy was thinking, but the thought the people like this exist, and that my browser might one day be subjected to their horrific nightmare of code terrifies me...

So I am trying to implement a deep learning paper.
And I started reading, It's fucking unbelievable

First page: maybe I will get it in the second page!!
Second page: what did I miss from the first page?
Third page: Woohw, let me start over.

Now: I am reading about linear algebra and basic probability theories.

I guess this is is why not anyone can be on deep learning research areas and not used by many developers.

Easy. I was in just 1, but i heard what they were all about. They happened weekly.

This boss mainly ran his hardware renting business. The software for that hardware was often optional, but they developed and sold that as a seperate company with almost the same name.

The guy had no idea what development meant. What it means to test. Everything he knew was hardware, and it just never really clicked. This means that bugs and non linear development cost for a feature were confusing to him to a point that when brought up or conflicting, he would look confused, and walk out the office without another word.

This guy would bust in, usually monday morning and call a "meeting"
They gather in the lunchroom as thats the only place everyone fit, and the guy would go on a 3 hour monologue on god knows what.

It was never positive and always full off complaints and idiotic ideas that the senior developer had to break down until as if talking to a big toddler, on why they do not work.

As a result everyones day started mizzerable, nothing got done. The software package was full of logic flaws. And everyone wanted to quit but didn't have the energy to invest in that.

During that internship 1 guy was fired. In the 2 months he was there he litterally did jack shit. And if he did anything it was the bare minimum, committed broken but compilable, and then wait for revision requests.

Yeah that place was a shitshow. I loved it, but never again.

Linear algebra is a hammer that actually works well on things akin to a nail when wielded right. Do you have a similar wildcard that works everytime you try it?

Fuck this algorithms course. How the fuck do you expect me to populate a 2d array of N^2 elements with data in linear time if you won't fucking let me write to more than one element at a time???

Dear CS department,
Make sure your homework makes fucking sense before shipping it off to students.
Regards,
A pissed off student

And before anyone comes at me with this "But you can technically do that if there's k*N elements and it would still be linear time" shit, fuck off; there's a worst case of needing to write to half the elements in the 2d array so it's still N^2 no matter how you try to "but technically" your way though it.

Giving a tensorflow workshop and the thing people struggle the most is the Linear Algebra behind it... it is only gradients in tensor and some matrix multiplication.

My recommendation is: do you want to work with Deep Learning algorithms? Y'all need Linear Algebra, not PhD, just a bit!

!rant

How did you all get into development? I've heard some pretty non-linear career trajectories from friends of mine, but I'm not sure if that's normative for developers as a whole. Your thoughts?

How do you know when it is time for a break?

transition: color 0.5em linear;

When you cannot figure out what is wrong with this transition...

Well, this happens time to time...

I'm freelancing as a backend guy. I like to take care of all infrastructure before really starting to build anything, this mostly includes dev/staging/prod environments with some linear promotion strategy. So.. I did this API. Still on staging, proceeding with the development as planned, everything goes according the timeline.

And then.. this happens... At some point PM told frontend guy that it's time for production (without notifying me), so the frontend guy does what "anyone" would do in this case - tells PM to create DNS record for production to point to staging app.

Time passes, I'm still unaware of this. But I'm starting to see some quality entries in the DB, not the usual QA crap. I write to them that they're doing good job and continue with my tasks.

One of the tasks required some major DB change. I could've written migrations script, but since we're not in "production" yet, I just wipe the DB and recreate schema as I need it.

In 10 minutes the furious PM starts shouting that "production" is down and I need to fix it ASAP.

I'm lost, I'm asking questions, I'm slowly understanding what's happening...

So I want to grab some coffee, sat back down, wrote politely that they suck, added a finger emoji and terminated the contract.

Felt like the right thing to do as I definitely don't want to continue within the same "team".

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

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

FUCK YOU SYNCFUSION, JUST FUCK YOU!! TRYING TO USE YOUR FUCKING LINEAR GRAPHS AND THEY NEVER FUCKING WORK!!! THEY DON'T ADAPT THEIR OWN BOUNDS, THEY DON'T SHOW LABELS EVEN THOUGH I'M FUCKING TELLING YOU TO SHOW THEM AND EVEN WHEN I ADD HEADERS YOU REFUSE TO SHOW THEM!! AND FOR SOME GODDAMN FUCKING REASON, WHENEVER I USE A TABBED PAGE YOU JUST GO UP AND FUCKING THROW AN "UNKNOWN EXCEPTION" JUST FUCK IT FUCK YOU , FUCK YOUR GRAPHS, FUCK EVERYTHING!!!!!!

First and foremost, students should be carefully taught the logic and mentality behind programming. Most of the time I see that the introductory programming courses waste so much energy in teaching the language itself. So students kinda just get fucked cause many people end up ending the course without having actually gained the "programming perspective".
Stop teaching pointers and lambdas and even leave the object oriented stiff till later. If a student doesn't know why we use a For loop then how can they learn anything else.
I believe once that thing in your brain clicks about programming, everything goes smooth from there... kinda :P

Second of all, and this pertains mainly to the engineering and science disciplines.
We need a fundamental and strong mathematical foundation. And no I don't mean taking fucking double integrals. Teach us Linear Algebra, Graph theory, the properties of matrices, and Probability theory.
One of the things I suffered from most and regret in university is having a weak foundation in math and having to spend more time catching myself up to speed.
It's so annoying reading a paper on a new algorithm or method and feeling like an idiot because I can't understand what magic these people did.

Numerical Methods...
Ok this is more deeper, maybe a 2nd year course.
But this is something we take for granted.
Computers don't magically add and subtract and multiply.
They fuck up.
And it'll bite you in the ass if you're not even aware that the computer we all love so much isn't as perfect as we think

Some hardware knowledge.
Probably a basic embedded systems course with arduinos
just so you can get a feel for how our beautiful software actually makes those electrons go weeeeeeeee

And finally
Practice practice
Projects projects
like honestly
just give me the internet and some projects
Ill learn everything else
Projects are the best motivation
I hate this purely theoretical approach
where we memorize or read code and write these stupid exams
Test what we are capable off
make us do projects that take sleepless nights and litres of coffee
And judge our methods, documentation, team work, and output

Team work skills and tools (VCS, communicating, project management, etc.)

Documentation and Reporting
Properly
:)
maybe even with LaTeX :D

Yeah that's the gist of whats on my mind at the moment regarding an ideal computer science education
At least the foundations
The rest I leave it to the next dude.

Applied Discrete Math is fucking hard. Logic and proofs are freaking hard. Even Multivariable calculus is piece of cake. Give me Calculus, Linear Algebra and I can get a high grade.

How do you even start to wrote proofs?

I’m in Chapter 2 and struggling. Imagine the later chapters.

When you have a task in javascript and it should use quadratic space and its use only linear space...

... easy workaround for double arrays that rise
so when n goes up
n×n array rise with 'false' within the fields? So i use quadratic space

!dev (?)

Why does my teacher think it's reasonable to give an assignment for writing a scientific article about quantum computing in the first semester of CS? Like really? I just got out of fucking high school you bitch, all math I know is basic linear algebra. Thankfully I'm a nerd that likes computers so I got the basis of classical computing covered, I can only imagine how my classmates that never touched a computer are holding up.

I'm an apprentice software engineer, have been for about a year now. I feel so dumb all the time. Used to be I'd just teach myself at my own pace for about a year or two (which was slow, on and off because of life getting in the way). Now I'm surrounded by programmers with decades more experience than me and I can't help but feel inferior.
I want to get better faster but, I work full-time now so I don't know how to supplement my studying. I've been studying linear-algebra online because my maths is crap and I remember one of my colleagues mentioning that it would be useful. But now I'm not sure because apparently discrete mathematics is better.
I also need to keep up with Java since that's what I'm learning in university but, I'm mostly using React/Typescript in my current project. By the time I finish work I don't even want to look at a line code and I lack the self-discipline to force myself to study in the evening.
I need to pick a direction and stick with it but, it's seems to just be increasingly harder as I've gone on.

I am going to start studying linear algebra but not sure which book I should use. I have a hard copy of Linear Algebra and its Applications. But I don't know wheater its good or bad. Should I use it or look for another book?

can you guys show me yours & your favorite personal websites?

i need mine to be unique and POP. right now mine has a linear gradient background that changes each time with javascript to look cool, but that's pretty much it. do you guys have any ideas?

i really want the user to be able to deepfake the picture of me in it by using their camera and tensorflow.js so that the picture will change to their facial expressions, but i'm not sure how to do that yet.

what is nutritious and commutative?
— the abelian soup

Spent 4 fucking weeks trying to implement this motherfucking feature and in the end after 15 failed implementations it turns out that my first implementation was good. Turns out this other devs fucking feature had a bug (he forgot to add two lines to clear current state and to update current state again). Motherfucker.

Took me over 100 hours to debug that piece of shiet spaghetti codebase and I had to go through grief stages few times to the point where I started questioning my own damn ability

Sometimes it sucks not being able to go step by steap and think in a linear way. I guess if I followed the breadcrumbs I would have solved it sooner. But poking around things and trying out random solutions was like going through a maze blindfolded until I got it right but I guess thats how my brain works.

Hey ranters!

Okay so uh, do you know about LFSRs (Linear Feedback Shift Registers)?

You may wish to tell me else burn me to a toast xD

My fellow devs, appreciate what you have right now, even if it doesn't seem that great. I've recently switched majors from Bioinformatics to Medicine and I wouldn't say I regret it, but I do certainly doubt this decision sometimes. While studying Bioinformatics, I was always really interested in the biological part, often wanting to learn more about medical topics and such, thinking if I did switch, I could always keep programming as a hobby. Now I did switch and I miss being in a professional CS field so much. Medicine is great, but the people who study are mentally completely different from people that code. I still code small projects on the side, but don't really have anyone to talk to about them and I'm even starting to regret not paying more attention in linear algebra. I miss linear algebra, think about how ridiculous that is haha. Anyways, if you are looking forward to a major change in your life, it might not be all that you think it will be. So look at your current situation, it might be what you wanted all along.
Thanks for listening.
.
.
.
Also it is incredible, how technologically incompetent most medical students are lol

Sydochen has posted a rant where he is nt really sure why people hate Java, and I decided to publicly post my explanation of this phenomenon, please, from my point of view.
So there is this quite large domain, on which one or two academical studies are built, such as business informatics and applied system engineering which I find extremely interesting and fun, that is called, ironically, SAD. And then there are videos on youtube, by programmers who just can't settle the fuck down. Those videos I am talking about are rants about OOP in general, which, as we all know, is a huge part of studies in the aforementioned domain. What these people are even talking about?
Absolutely obvious, there is no sense in making a software in a linear pattern. Since Bikelsoft has conveniently patched consumers up with GUI based software, the core concept of which is EDP (event driven programming or alternatively, at least OS events queue-ing), the completely functional, linear approach in such environment does not make much sense in terms of the maintainability of the software. Uhm, raise your hand if you ever tried to linearly build a complex GUI system in a single function call on GTK, which does allow you to disregard any responsibility separation pattern of SAD, such as long loved MVC...
Additionally, OOP is mandatory in business because it does allow us to mount abstraction levels and encapsulate actual dataflow behind them, which, of course, lowers the costs of the development.
What happy programmers are talking about usually is the complexity of the task of doing the OOP right in the sense of an overflow of straight composition classes (that do nothing but forward data from lower to upper abstraction levels and vice versa) and the situation of responsibility chain break (this is when a class from lower level directly!! notifies a class of a higher level about something ignoring the fact that there is a chain of other classes between them). And that's it. These guys also do vouch for functional programming, and it's a completely different argument, and there is no reason not to do it in algorithmical, implementational part of the project, of course, but yeah...
So where does Java kick in you think?
Well, guess what language popularized programming in general and OOP in particular. Java is doing a lot of things in a modern way. Of course, if it's 1995 outside *lenny face*. Yeah, fuck AOT, fuck memory management responsibility, all to the maximum towards solving the real applicative tasks.
Have you ever tried to learn to apply Text Watchers in Android with Java? Then you know about inline overloading and inline abstract class implementation. This is not right. This reduces readability and reusability.
Have you ever used Volley on Android? Newbies to Android programming surely should have. Quite verbose boilerplate in google docs, huh?
Have you seen intents? The Android API is, little said, messy with all the support libs and Context class ancestors. Remember how many times the language has helped you to properly orient in all of this hierarchy, when overloading method declaration requires you to use 2 lines instead of 1. Too verbose, too hesitant, distracting - that's what the lang and the api is. Fucking toString() is hilarious. Reference comparison is unintuitive. Obviously poor practices are not banned. Ancient tools. Import hell. Slow evolution.
C# has ripped Java off like an utter cunt, yet it's a piece of cake to maintain a solid patternization and structure, and keep your code clean and readable. Yet, Cs6 already was okay featuring optionally nullable fields and safe optional dereferencing, while we get finally get lambda expressions in J8, in 20-fucking-14.
Java did good back then, but when we joke about dumb indian developers, they are coding it in Java. So yeah.
To sum up, it's easy to make code unreadable with Java, and Java is a tool with which developers usually disregard the patterns of SAD.

Buckling spring or linear?

FUUUUUUUUCK LINEAR ALGEBRA!!

I am considering which CS elective to register for this coming semester, and I am not happy with many of the choices. Basically, I can choose between Android programming, a web programming class in the grad school, and maybe Linear Algebra for CS majors class. I am trying to figure out what is worthwhile to take in college, and what I can learn on my own. Advisor thinks I should take a web class, because it's important to know, but I am not too into web and I feel like I can just learn that on my own. I would rather take a class that will help me understand how things work, rather than just how to use a specific technology. What do you guys think?

It makes sense to learn AI and its mathematical basis (statistics and linear algebra) or unless I want to get a degree on the topic I’m wasting my time? If the answer is yes what are the best online resources/books which I can use?
To clarify I don’t want to specialize there and work as a “AI/data science specialist” (for which I believe a degree it’s necessary) as some graduates in shady boot camps expects to do. I’m just asking myself if I can teach myself enough IA to enrich personal projects in which IA makes sense and to become apre flexible professional.

1. Unending relentless quest for learning

2. Linear memory capacity

3. Uninterrupted autohealing capabilities like sleep

Interviewer can you write down program to perform custom lexical sorting?
10-15mins later writing code...
..
Can you code it in linear time ?
Me: if I knew the linear time solution why wouldn't I code that.

Note. I know a linear time solution but couldn't come up in 10mins of solving

Make an Async task (Java) and...

DONT use a loop to iterate though a time series collection. Don't linear search that shit.

DO use a queue and pop() it like its hot. Check that shit to see when it needs to be used instead of searching.

DO assert that your time series data is in order (Predication mother fucker).

DO throw an exception that you data is all fucked when it's all fuck up.

Stay sexy and use a fucking queue man.

Think of an awesome sounding AI project while not knowing a thing about AI.
Tell the guy you will be working with that you will manage to keep the learning pace up (he doesn't know AI as well, woah!)
Fast forward 2 weeks - completely forget about how I wanted to do anything with AI.
Fast forward 1 week - that guy messages me that we ought to do a meeting to check how much each of us have learned and to decide on how we will tackle the project.
Somehow managed to get the deadline to be day after tomorrow.

'I am screwed...' is what I think when I skim through pages of 'Artificial Intelligence a Modern Approach'. So, I put down the book and try to find something easy to understand on youtube. I find a hyperactive looking guy that under a video titled along the lines of '5mins and you are linear gradient pro'. Not suscipious at all.
Watched video twice, managed to understand that I need calculus for this shit. Oh well.

AI seems so much fun until you understand that it requires a fuckload of knowledge to do anything at all! :'(

Going to try to analyse linear gradient until tomorrow and hope that it will be sufficient for our project.
Lol. Who am I kidding?

Use Linear gradient ...

No use rgba

Arghhhh...okay rgba looks OK...wait linear gradient is better...no wait

Hallelujah!!!!!

Any good linear algebra resources, preferably videos explained elegantly without much expectation of previous knowledge.

Implemented my first linear regression model! Predictions not on point! Whatever.. :p

i hate linear algebra so much, god damn set theory and god damn matrices.

What the hell does this mean!

transition: width fast linear ??

Linear Regression strikes again...

Opened up my old notes. I wrote down something my linear programming and calculus lecturer said
"..we just calculate and calculate until we tire out.and hopefully we will get the solution." Yup.

That it's as far from linear as it can be.

Persisterising derived values. Often a necessary evil for optimisation or privacy while conflicting with concerns such as auditing.

Password hashing is the common example of a case considered necessary to cover security concerns.

Also often a mistake to store derived values. Some times it can be annoying. Sometimes it can be data loss. Derived values often require careful maintenance otherwise the actual comments in your database for a page is 10 but the stored value for the page record is 9. This becomes very important when dealing with money where eventual consistency might not be enough.

Annoying is when given a and b then c = a + b only b and c are stored so you often have to run things backwards.

Given any processing pipeline such as A -> B -> C with A being original and C final then you technically only need C. This applies to anything.

However, not all steps stay or deflate. Sum of values is an example of deflate. Mapping values is an example of stay. Combining all possible value pairs is inflate, IE, N * N and tends to represent the true termination point for a pipeline as to what can be persisted.

I've quite often seen people exclude original. Some amount of lossy can be alright if it's genuine noise and one way if serving some purpose.

If A is O(N) and C reduces to O(1) then it can seem to make sense to store only C until someone also wants B -> D as well. Technically speaking A is all you ever need to persist to cater to all dependencies.

I've seen every kind of mess with processing chains. People persisting the inflations while still being lossy. Giant chains linear chains where instead items should rely on a common ancestor. Things being applied to only be unapplied. Yes ABCBDBEBCF etc then truncating A happens.

Extreme care needs to be taken with data and future proofing. Excess data you can remove. Missing code can be added. Data however once its gone its gone and your bug is forever.

This doesn't seem to enter the minds of many developers who don't reconcile their execution or processing graphs with entry points, exist points, edge direction, size, persistence, etc.

Before i get my degree i have to write my finishing thesis on blockchain topic, has to include something about using math from linear algebra or math analysis that is applied to blockchain, can anyone give me links of similar examples of finishing thesis of this for inspiration?