writing library code is hard.

there are sooo many details that go into writing good libraries:

designing intuitive and powerful apis
deciding good api option defaults, disallowing or warning for illegal operations

knowing when to throw, knowing when to warn/log
handling edge cases
having good code coverage with tests that doesn't suck shit, while ensuring thry don't take a hundred years to run

making the code easy to read, to maintain, robust
and also not vulnerable, which is probably the most overlooked quality.

"too many classes, too little classes"

the functions do too much it's hard to follow them
or the functions are so well abstracted, that every function has 1 line of code, resulting in code that is even harder to understand or debug (have fun drowning in those immense stack traces)

don't forget to be disciplined about the documentation.

most of these things are
deeply affected by the ecosystem, the tools of the language you're writing this in:

like 5 years ago I hated coding in nodejs, because I didn't know about linters, and now we have tools like eslint or babel, so it's more passable now

but now dealing with webpack/babel configs and plugins can literally obliterate your asshole.

some languages don't even have a stable line by line debugger (hard pass for me)

then there's also the several phases of the project:

you first conceive the idea, the api, and try to implement it, write some md's of usage examples.

as you do that, you iterate on the api, you notice that it could better, so you redesign it. once, twice, thrice.

so at that point you're spending days, weeks on this side project, and your boss is like "what the fuck are you doing right now?"

then, you reach fuckinnnnng 0.1.0, with a "frozen" api, put it on github with a shitton of badges like the badge whore you are.

then you drop it on forums, and slack communities and irc, and what do you get?

half of the community wants to ban you for doing self promotion

the other half thinks either
a) your library api is shitty
b) has no real need for it
c) "why reinvent the wheel bruh"

that's one scenario,

the other scenario is the project starts to get traction.

people start to star it and shit.
but now you have one peoblem you didn't have before: humans.

all sorts of shit:

people treating you like shit as if they were premium users.

people posting majestically written issues with titles like "people help, me no work, here" with bodies like "HAAAAAAAAAALP".

and if you have the blessing to work in the current js ecosystem, issues like "this doesn't work with esm, unpkg, cdnjs, babel, webpack, parcel, buble, A BROWSER".
with some occasional lunatic complaining about IE 4 having a very weird, obscure bug.

not the best prospect either.

I've been lurking for a while but I had it up to here with these goddamned "js sucks" posts.

I'm not gonna deny js has severe design problems,
or that chromium is a motherfucking vampire
or that it's a goddamn pain in the ass to understand how to babel webpack + plugins correctly

that is all true.

the problem is that it's just a lazy damn circlejerk at this point where no learning is gained, with no outlook on any possible solution of these problems, let alone ANY type of actual collaboration to help the situation.

sometimes people don't even care to specify what is specifically wrong with js. It's just "js sucks" and that's it, farm ++.

slack is a ram hog, yes, yes, we know... WE KNOW.
every 5 days someone has to remind that!

is there any solution? why is it a ram hog? is electron the problem, or is the slack source code doing weird shit?
are there any lightweight alternatives to electron?

That's actual good conversation, but no, apparently it's impossible to drop the snarky tone for 2 seconds.

I think it's fine to point out defficiencies in applications, but it's not ok to shitpost on and on.

I would very ok with someone shitcomplaining about js is if they were doing something about it.

I'm still ok with people letting of some steam, I'm fine with people expressing frustration from direct work experience with js. I'm not ok with people and their ignorance and snarky comments and non helpfulness while comfortably laughing from their own camp of totally unrelated technologies.

Hearing sysadmins or people that code exclusively in c shit on js makes me feel my insides twirl.

Imagine I didn't do shit for linux, but I went around forums pointing out the defficiencies, like the lack of standards, and saying that mac is way better.

Or I if yapped on and on about openvpn and having an obscure as fuck api, meanwhile not doing a single fucking thing about it, or not even using it in a day to day basis.

do you hate slack's ram usage? me too and js isn't going anywhere in the next 5 years, so either do something or provide smart conversation, diagnosis of the problem or possible alternstives/solutions, otherwise stfu

This compiles and works in C++:

int arr[10];

5[arr] = 42;

cout << 5[arr] << endl;

I know why it works technically. Its just pointer math. But I have to ask "Why?" Of all that is unholy, WHY?!

Running a fucking conda environment on windows (an update environment from the previous one that I normally use) gets to be a fucking pain in the fucking ass for no fucking reason.

First: Generate a new conda environment, for FUCKING SHITS AND GIGGLES, DO NOT SPECIFY THE PYTHON VERSION, just to see compatibility, this was an experiment, expected to fail.

Install tensorflow on said environment: It does not fucking work, not detecting cuda, the only requirement? To have the cuda dependencies installed, modified, and inside of the system path, check done, it works on 4 other fucking environments, so why not this one.

Still doesn't work, google around and found some thread on github (the errors) that has a way to fix it, do it that way, fucking magic, shit is fixed.

Very well, tensorflow is installed and detecting cuda, no biggie. HAD TO SWITCH TO PYHTHON 3,8 BECAUSE 3.9 WAS GIVING ISSUES FOR SOME UNKNOWN FUCKING REASON

Ok no problem, done.

Install jupyter lab, for which the first in all other 4 environments it works. Guess what a fuckload of errors upon executing the import of tensorflow. They go on a loop that does not fucking end.

The error: imPoRT eRrOr thE Dll waS noT loAdeD

Ok, fucking which one? who fucking knows.

I FUCKING HATE that the main language for this fucking bullshit is python. I guess the benefits of the repl, I do, but the python repl is fucking HORSESHIT compared to the one you get on: Lisp, Ruby and fucking even NODE in which error messages are still more fucking intelligent than those of fucking bullshit ass Python.

Personally? I am betting on Julia devising a smarter environment, it is a better language already, on a second note: If you are worried about A.I taking your job, don't, it requires a team of fucktards working around common basic system administration tasks to get this bullshit running in the first place.

My dream? Julia or Scala (fuck you) for a primary language in machine learning and AI, in which entire environments, with aaaaaaaaaall of the required dlls and dependencies can be downloaded and installed upon can just fucking run. A single directory structure in which shit just fucking works (reason why I like live environments like Smalltalk, but fuck you on that too) and just run your projects from there, without setting a bunch of bullshit from environment variables, cuda dlls installation phases and what not. Something that JUST FUCKING WORKS.

I.....fucking.....HATE the level of system administration required to run fucking anything nowadays, the reason why we had to create shit like devops jobs, for the sad fuckers that have to figure out environment configurations on a box just to run software.

Fuck me man development turned to shit, this is why go mod, node npm, php composer strict folder structure pipelines were created. Bitch all you want about npm, but if I can create a node_modules setting with all of the required dlls to run a project, even if this bitch weights 2.5GB for a project structure you bet your fucking ass that I would.

"YOU JUST DON'T KNOW WHAT YOU ARE DOING" YES I FUCKING DO and I will get this bullshit fixed, I will get it running just like I did the other 4 environments that I fucking use, for different versions of cuda and python and the dependency circle jerk BULLSHIT that I have to manage. But this "follow the guide and it will work, except when it does not and you are looking into obscure github errors" bullshit just takes away from valuable project time when you have a small dedicated group of developers and no sys admin or devops mastermind to resort to.

I have successfully deployed:
Java
Golang
Clojure
Python
Node
PHP
VB/C# .NET
C++
Rails
Django

Projects, and every single fucking time (save for .net, that shit just fucking works on a dedicated windows IIS server) the shit will not work with x..nT reasons. It fucking obliterates me how fucking annoying this bullshit is. And the reason why the ENTIRE FUCKING FIELD of computer science and software engineering is so fucking flawed.

But we can't all just run to simple windows bs in which we have documentation for everything. We have to spend countless hours on fucking Linux figuring shit out (fuck you also, I have been using Linux since I was 18, I am 30 now) for which graphical drivers for machine learning, cuda and whatTheFuckNot require all sorts of sys admin gymnasts to be used.

Y'all fucked up a long time ago. Smalltalk provided an all in one, easily rollable back to previous images, easily administered interfaces for this fileFuckery bullshit, and even though the JVM and the .NET environments did their best to hold shit down, and even though we had npm packages pulling the universe inside, or gomod compiling shit into one place NOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO we had to do whatever the fuck we wanted to feel l337 and wanted.

Fuck all of you, fuck this field, fuck setting boxes for ML/AI and fuck every single OS in existence

Lets learn bubble sort!
Type the following code to Visual C++ 1998 and compile it. Then run it. Write the output to the paper i just gave it to you.

Reality:
• Takes 5 mins to compile and run
• Too many errors in the given code so obscure output
• Teacher thinks we are so smart that we can understand c by typing and looking at the output.

The worst part:
• Different output per compiler
- Correctly compiles in the compiler in VC++ 98.
- Differs in GNU GCC, compiles wrong
- sends out obscure dummy output in VS2015~2017
- Works well in tutorialspoint.com compiler

WTF is this, guys?

@@@@@@@@@@@@@

Oh, and i have gone off topic...
Why does he think we are smart that we can understand bubble sort, and 4 more by only typing the code and looking at the output without knowing how does this algo work?

@@@@@@@@@@@@@

Answer to weekly question.
The teacher said to understand sorting algos by typing the code and looking at the output which differs per compiler.

My two cent: Java is fucking terrible for computer science. Why the fuck would you teach somebody such a verbose language with so many unwritten rules?

If you really want your students to learn about computer, why not C? Java has no pointer, no passed by reference, no memory management, a lots of obscure classes structure and design pattern, this shit is garbage. The student will almost never has contact with the compiler, many don't even know of existence of a compiler.

Java is so enterprise focused and just fucked up for educating purpose. And I say it as somebody who (still) uses it as main language.

If you want your students to be productive and learn about software engineering, why not Python? Things are simple in Python can can be done way easier without students becoming code monkeys (assuming they don't use for each task a whole library). I mean java takes who god damn class and an explicitly declared entry point which is btw. fucking verbose to print something into the console.

Fuck Java.