I had an interview with facebook, asked me to write something that sorts points on a parabola. Wrote it in java, tested output every step of the way with the interviewer watching.

Said they didn't like that I wrote pseudocode. You know, the kind that compiles and takes in dynamic input and prints the answer correctly to the console.

I've recently received another invitation to Google's Foobar challenges.

A while ago someone here on devRant (which I believe works at Google, and whose support I deeply appreciate) sent me a couple of links to it too. Unfortunately back then I didn't take the time to learn the programming languages (Python or Java) that Google requires for these challenges. This time I'm putting everything on Python, as it's the easiest language to learn when coming from Bash.

But at the end of the day.. I am a sysadmin, not a developer. I don't know a single thing about either of these languages. Yet I can't take these challenges as the sysadmin I am. Instead, I have to learn a new language which chances are I'll never need again outside of some HR dickhead's interview with lateral thinking questions and whiteboard programming, probably prohibited from using Google search like every sane programmer and/or sysadmin would for practical challenges that actually occur in real life.

I don't want to do that. Google is a once in a lifetime opportunity, I get that. Many people would probably even steal that foobar link from me if they could. But I don't think that for me it's the right thing to do. Google has made a serious difference by actually challenging developers with practical scenarios, and that's vastly superior to whatever a HR person at any other company could cobble together for an interview. But there's one thing that they don't seem to realize. A company like Google consists of more than just developers. Not only that, it probably consists - even within their developer circles - of more than just Python and Java developers. If any company would know about languages that are more optimized such as C, it would be Google that has to leverage this performance in order to be able to deliver their services.

I'll be frank here. Foobar has its own issues that I don't like. But if Google were a nice company, I'd go for it all the way nonetheless - after all, they are arguably the single biggest tech company in the world, and the tech industry itself is one of the biggest ones in the world nowadays. It's safe to say that there's likely no opportunity like working at Google. But I don't think it's the right thing. Even if I did know Python or Java... Even if I did. I don't like Google's business decisions.

I've recently flashed my OnePlus 6T with LineageOS. It's now completely Google-free, except for a stock Yalp account (that I'm too afraid to replace with my actual Google account because oh dear, third-party app stores, oh dear that could damage our business and has to be made highly illegal!1!). My contacts on that phone are are all gone. They're all stored on a Google server somewhere (except for some like @linuxxx' that I consciously stored on device storage and thus lost a while back), waiting for me to log back in and sync them back. I've never asked for this. If Google explicitly told me that they'd sync all my contacts to my Google account and offer feasible alternatives, I'd probably given more priority to building a CalDAV and CardDAV server of my own. Because I do have the skills and desire to maintain that myself. I don't want Google to do this for me.

Move fast and break things. I've even got a special Termux script on my home screen, aptly named Unfuck-Google-Play. Every other day I have to use it. Google Search. When I open it on my Nexus 6P, which was Google's foray into hardware and in which they failed quite spectacularly - I've even almost bent and killed it tonight, after cursing at that piece of shit every goddamn day - the Google app opens, I type some text into it.. and then it just jumps back to the beginning of whatever I was typing. A preloader of sorts. The app is a fucking web page parser, or heck probably even just an API parser. How does that in any way justify such shitty preloaders? How does that in any way justify such crappy performance on anything but the most recent flagships? I could go on about this all day... I used to run modern Linux on a 15 year old laptop, smoothly. So don't you Google tell me that a - probably trillion dollar - company can't do that shit right. When there's (commercialized) community projects like DuckDuckGo that do things a million times better than you do - yet they can't compete with you due to your shit being preloaded on every phone and tablet and impossible to remove without rooting - that you Google can't do that and a lot more. You've got fucking Google Assistant for fucks sake! Yet you can't make a decent search app - the goddamn thing that your company started with in the first place!?

I'm sorry. I'd love to work at Google and taste the diversity that this company has to offer. But there's *a lot* wrong with it at the business end too. That is something that - in that state - I don't think I want to contribute to, despite it being pretty much a lottery ticket that I've been fortunate enough to draw twice.

Maybe I should just start my own company.

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

I was inspired to be a programmer when I was 7 yrs old.
I started out using my dad's old Macintosh, it was pretty good at the time when I was 7. I played a game called "On The Run" at miniclip. I thought that one day I want to become a programmer who can do more than this or any other game.
Later when I was 9, my father bought a laptop but then he gave it to me. So I started and learn how computers work. It was a Acer 4376G I think, Windows Vista. (I didnt know vista was bad) I started with how to mod Java on a game called Need for Madness. That was when I learned about all sorts of jargon when looking up stuffs. I was able to somehow understand code but not write it. It was 9 years later, when at the end of 2015, I found khan academy and codecademy thru howtogeek. That was when I understand the most basic function that led me to build my entire knowledge or else I can only write

// Stupid JSON
// Tale of back-end ember api from hell
// Background: I'm an android dev attempting to integrate // with an emberjs / rails back-end

slack conversation:
me 3:51pm: @backend-dev: Is there something of in the documentation for the update call on model x? I formed the payload per the docs like so
{
"valueA": true,
"valueB": false
}
and the call returns success 200 but the data isn't being updated when fetching again.
----------------------------------------------------------------------------------------
backend-dev 4:00pm: the model doesn't look updated for the user are you sure you made the call?
----------------------------------------------------------------------------------------
me 4:01pm: Pretty sure here's my payload and a screen grab of the successful request in postman <screenshot attached>
----------------------------------------------------------------------------------------
backend-dev 4:05pm: well i just created a new user on the website and it worked perfectly your code must be wrong
----------------------------------------------------------------------------------------
me 4:07pm: i can test some more to see if i get any different responses
----------------------------------------------------------------------------------------
backend-dev 4:15pm: ahhhhhh... I think it's expecting the string "true", not true
----------------------------------------------------------------------------------------
me 4:16: but the fetch call returns the json value as a boolean true/false
----------------------------------------------------------------------------------------
backend-dev 4:18pm: thats a feature, the flexible type system allows us to handle all sorts of data transformations. android must be limited and wonky.
----------------------------------------------------------------------------------------
me 4:19pm: java is a statically typed language....
// crickets for ten minutes
me 4:30pm: i'll just write a transform on the model when i send an update call to perform toString() on the boolean values
----------------------------------------------------------------------------------------
backend-dev 4:35: great! told you it wasn't my documentation!

// face palm forever

Was once interviewing for Ops support roles looking after multiple websites wrote in java, rails, php with some rest apis, apache, varnish and more....

We were also starting moving towards automation and devops practices so we needed to expand...

We have a great CV from someone who had all of the technologies and chef mentioned on their CV so we were positive....

Invited to interview and something wasn't right..... I dropped a "so you mentioned a few different languages on your CV, can you talk me though some of the applications you've looked after and what languages they were written in, etc?"

His reply.. "yes I looked after a lot of applications and helped people with them in English"

Me "oh.. Okay.... So those apps which software languages were they... You mentioned things like Java and Php and automation tech like chef?"

Him "well yes they were all sorts of things but I predominantly looked after the apps that were wrote in English... Didn't deal with any wrote in java or chef... Just English"

Me ".... Does anyone else have any questions?"

Safe to say we didn't offer him the job....

Do you guys think I should go for a Lego Mindstorms set as a way to start getting into robotics?

I know of a lot of people that recommend going through arduino and buying a bunch of shit and throwing it together etc. But the thing that makes me interested in Mindstorms is how everything seems to be in one place. A smart brick programmable through multiple different programming languages(for example Python, java, C) a good kit that can be really modular and built into different components, all sorts of sensors.

I just think its a good option, but if someone were to recommend a particular book or resource for Arduino or some other stuff I would definitely consider it.

So, what do you lads think?

Maxi-Rant, rest in the first comment!

Yay, I've caught up with my "watch later" list on YouTube! Next thing: Just quickly go through my subscribed channels and add old videos that I haven't seen yet to the watch later list so that I have more stuff to watch the next months. The easiest way to do that is to go to the "all uploads" playlist of the channel (that is luckily always linked now, it used to be hidden sometimes) and use "add all to" to get them on my playlist. Then sort out the stuff that I've already seen and turn on automatic sorting by date, easy. Yeah...
Firstly, in the new design there's no "add all to", I have to go to the old design. For my own playlists, there's a handy "edit" button to do that, but on other pages I have to do it manually. Luckily I have set Ctrl+Shift+1 as a shortcut for "&disable_polymer=true" long ago.
Next surprise: On "all uploads" playlists, there is no "add all to" button. It's on every single other playlist on YouTube, including "liked", "watch later", "favourites" and so on, just not there.
Fine, I'll just abuse my subscription playlist script that I already have by making a copy of it, putting the channel IDs in it and setting the last execution date to 1.1.2001. Little problem with that: Google apps scripts can run for at most 5 minutes and the YouTube API restricts it to add one video per second. So it doesn't work for more than 300 videos. I could now try to split it up by dates, but I didn't write the script myself and I don't know how it sorts the videos to add, so I'll just google for another solution instead.
Found one: Go to the video overview of the channel in the old layout, Ctrl+Shift+I, paste this little Javascript thing and it automatically clicks all the little clocks that add the video to the watch later list. Yay, that works! Ok, i'm restricted to 5000 videos, because that's the maximum size of a YouTube playlist, so I can't immediately add all 8000+, but whatever, that's a minor problem and I'll sort out later anyway. Still another little problem: For some reason I can't automatically sort the watch later list. Because that would be too easy.
But whatever, I'll just use "add all to" from there to add it to my creatively named "WL" list. If that thing is restricted by the same rate limit of 1 video per second, it should be done in about 1½ hours. A bit long, but hey, I'm dealing with 5000 videos. Waiting 2 hours... Waiting 3 hours... Nothing happens. It would be nice if it at least added them one by one, but no, it waits an eternity and then adds all at once. At least in theory, right now it does absolutely nothing.
Shortly considered running it for more hours or even days on my Raspberry Pi, but that thing already struggles when using Chromium normally, I shouldn't bother it with anything that has to do with 5000 videos.
Ok, what else can I do then? Googling, trying out different things, mainly external services that have their own concept of "playlists" and can then add them to an arbitrary playlist later...
Even tried writing my own Java program with the YouTube API, but after about an hour not even the example program in the YouTube API tutorial worked (50 errors and even more open questions, woohoo), so I discarded that idea.
Then I discovered "DiskYT". Everything looked like it would work and I'm still convinced that I can do it with that little pile of shit. Why is it a pile of shit? Well, for example the site reloads itself after a while, so it can at most add 700 videos to a playlist. Also I can't just paste the channel link (even though it recognises those links, but just to show an error message that it can't copy from channels). I can't enter/paste URLs, I have to drag them. The site saves absolutely nothing (should in theory work, but in practise it doesn't), so I have to re-drag everything on every try. In one network, the "authorise YouTube" button (that I have to press again on every computer) does absolutely nothing ("inspect" reveals that there isn't even any action bound to the button), in another network the page mostly doesn't work at all or the button to copy from playlists is suddenly gone or other weird stuff. Luckily I have the WiFi at home, there it works in theory. But just on my desktop PC, no other device, wow. I tried to run it on my new laptop, but it's so new that it still has the preinstalled OS and there I can't deactivate going to standby when closing the laptop, so while I expected it to add 5000 videos, it instead added 4 and went to standby. But doesn't matter, because it would have failed at about 700 anyway. Every time I try to use this website, I get new problems, but it seems to still be the best option, because everything else just doesn't do anything. This page at least got to 700 before.

Continuing in first comment!

Damn lots of you knew this shit before turning of age.
I didn't code a single line until I went to college.
I tried to, but it was just too fucking complicated and I didn't understand a thing. Tried to grasp how to use some tools like Unity or an Adventure Maker of sorts and something called Flix for Flash games. Didn't understand shit.
I decided to study systems engineering due to a career aptitude test I took hoping somehow that way I could learn sthg.
First thing I was taught was bash.
When I realised I already knew enough to code a whole text adventure from scratch with such a simple language I felt really hyped.
Always loved text and graphic adventures.
Afterwards I was taught the Z80 assembly language and how CPU registers worked and it blew my fucking mind.
That was the first half-year.
Then I was taught C. And boy was it hard. Didn't get how memory was being handled until the very end.
I happened to be one of the few passing a stupidly complicated semifinal test with triple indirection pointers.
That felt goood.
Learning other languages afterwards was a piece of cake. C#, Java, X86 assembly, C++...
It was a hard door to open. Fucking heavy. But now nothing seems black magic anymore and boy isn't that something to be proud of! :D