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

Next week I'm starting a new job and I kinda wanted to give you guys an insight into my dev career over the last four years. Hopefully it can give some people some insight into how a career can grow unexpectedly.

While I was finishing up my studies (AI) I decided to talk to one of these recruiters and see what kind of jobs I could get as soon as I would be done. The recruiter immediately found this job with a Java consultancy company that also had a training aspect on the side (four hours of training a week).

In this job I learned a lot about many things. I learned about Spring framework, clean code, cloud deployment, build pipelines, Microservices, message brokers and lots more.

As this was a consultancy company, I was placed at different companies. During my time here I worked on two different projects.
The first was a Microservices project about road traffic data. The company was a mess, and I learned a lot about company politics. I think I never saw anything I built really released in my 16 months there.

I also had to drive 200km every day for this job, which just killed me. And after far too long I was finally moved to the second company, which was much closer.

The second company was a fintech startup funded by a bank. Everything was so much better than the traffic company. There was a very structured release schedule, with a pretty okay scrum implementation. Every team had their own development environment on aws which worked amazingly. I had a lot of fun at this job, with many cool colleagues. And all the smart people around me taught me even more about everything related to working in software engineering.

I quit my job at the consultancy company, and with that at the fintech place, because I got an opportunity I couldn't refuse. My brother was working for Jordan Belfort, the Wolf of Wallstreet, and he said they needed a developer to build a learning platform. So I packed my bags and flew to LA.

The office was just a villa on the beach, next to Jordan's house. The company was quite small and there were actually no real developers. There was a guy who claimed to be the cto of the company, but he actually only knew how to do WordPress and no one had named him cto, which was very interesting.
So I sat down with Jordan and we talked about the platform he wanted to build. I explained how the things he wanted would eventually not be able with WordPress and we needed to really start building software and become a software development company. He agreed and I was set to designing a first iteration of the platform.
Before I knew it I was building the platform part by part, adding features everywhere, setting up analytics, setting up payment flows, monitoring, connecting to Salesforce, setting up build pipelines and setting up the whole aws environment. I had to do everything from frontend to the backest of backends. Luckily I could grow my team a tiny bit after a while, until we were with four. But the other three were still very junior, so I also got the task of training them next to developing.
Still I learned a lot and there's so much more to tell about my time at this company, but let's move forward a bit.

Eventually I had to go back to the Netherlands because of reasons. I still worked a bit for them from over here, but the fun of it was gone without my colleagues around me, so I quit last September.

I noticed I was all burned out, had worked far too much, so I decided to take a few months off and figure out what I wanted to do with my life. I even wondered whether I wanted to stay in programming.

Fast forward to last few weeks. I figured out I actually did want to work in software still, but now I would focus on getting the right working circumstances. No more driving 3 hours every day, no more working 12 hours every day. Just work close to home and find a company with the right values.
So I started sending out resumes and I gave one recruiter the chance to arrange some interviews too. I spoke to 7 companies in the span of one week. And they were all very interested. Eventually I narrowed it down to 2 companies and asked them for offers. And the company that actually had my preference offered me significantly more than I asked for, which settled the deal.

So tomorrow I'm officially signing with them, and starting next week I'll be developing in Kotlin, diving into functional programming and running our code in serverless environments. I'm very excited!

Sooooo ok ok. Started my graduate program in August and thus far I have been having to handle it with working as a manager, missing 2 staff member positions at work, as well as dealing with other personal items in my life. It has been exhausting beyond belief and I would not really recommend it for people working full time always on call jobs with a family, like at a..

But one thing that keeps my hopes up is the amount of great knowledge that the professors pass to us through their lectures. Sometimes I would get upset at how highly theoretical the items are, I was expecting to see tons of code in one of the major languages used in A.I(my graduate program has a focus in AI, that is my concentration) and was really disappointed at not seeing more code really. But getting the high level overview of the concepts has been really helpful in forcing me to do extra research in order to reconnect with some of the items that I had never thought of before.

If you follow, for example, different articles or online tutorials representing doing something simple like generating a simple neural network, it sometimes escapes our mind how some of the internal concepts of the activity in question are generated, how and why and the mathematical notions that led researchers reach the conclusions they did. As developers, we are sometimes used to just not caring about how sometimes a thing would work, just as long as it works "we will get back to this later" is a common thing in most tutorials, such as when I started with Java "don't worry about what public static main means, just write it up for now, oh and don't worry about what System.out.println() is, just know that its used to output something into bla bla bla" <---- shit like that is too common and it does not escape ML tutorials.

Its hard man, to focus on understanding the inner details of such a massive field all the time, but truly worth it. And if you do find yourself considering the need for higher education or not, well its more of a personal choice really. There are some very talented people that learn a lot on their own, but having the proper guidance of a body of highly trained industry professionals is always nice, my professors take the time to deal with the students on such a personal level that concepts get acquired faster, everyone in class is an engineer with years of experience, thus having people talk to us at that level is much appreciated and accelerates the process of being educated.

Basically what I am trying to say is that being exposed to different methodologies and theoretical concepts helps a lot for building intuition, specially when you literally have no other option but to git gud. And school is what you make of it, but certainly never a waste.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

I have an interest in methods to make myself smarter. At times some ideas seem to be just out of my reach. I don't always know the reason why. Eventually with persistence I am able to figure things out. However, I always wonder if there are techniques to learn things faster, better, more completely, with less struggle, etc. Would being smarter help with this. I wondered, "Can I create a program/method to increase IQ through training?"

So I found an interesting book called "The Neuroscience of Intelligence" by Richard J. Haier.
Very quickly I was engrossed in this book. It is written in a very accessible way and slowly trickles in the jargon. The book is basically the culmination of 40 years of studying the subject. The main point of the book is: you cannot increase your IQ through techniques and tricks. The only realistic avenue for increasing IQ is through genetics. Your IQ is based upon nature, not nurture. This is a result of the data, not opinion. The writer of this book follows what the science is telling him. This was not what I wanted to hear. He also went on to explain that the statement "You can be whatever you want to be if you work hard enough." He said this is false. Some people, no matter how hard they try, will not be able to get past certain limitations in aptitude. This statement will probably make a lot of people mad, but the data led this researcher to this conclusion. Though I sense he found this disheartening (my opinion). I know I did.

So after reading this book over the weekend I am a bit perturbed that there are not recognizable techniques to increase IQ through mental exercises. Websites all over will say otherwise, but it isn't a thing.

What to do? I decided I am going to find ways to maximize my potential. I will create a set of mental exercises that help me use what I got to the full potential. I know when I see different ways to think about things I get a bit better at solving problems. So learning and experience is still a way to improve your intellect, if not IQ. If I feel like I have made progress in this endeavor I will definitely share.

If you have any interest in neuroscience then I recommend the book I read this weekend. It is very accessible for the reader not versed in the subject. I knew virtually nothing about the topic and now I feel I have a good grounding in the state of the art. It has some neat info on some potentially better approaches to AI as well.