I just released a tiny game for iPhone!

It's basically an attempt to mix 'Heroes of Might & Magic' and mtg.

In the screenshot my terminal says 'helloworld.cpp'. That's right, this is my first c++ program and I don't care how crappy you think this game is, I'm super proud of myself!

I've always worked in data science where managers assume I know how to code because there's text on my screen and I can query and wrangle data, but I actually didn't know what a class was until like 3 years into my job.

Making this game was my attempt to really evolve myself away from just statistics / data transforms into actual programming. It took me forever but I'm really happy I did it

It was brutal at first using C++ instead of R/Python that data science people usually use, but now I start to wonder why it isn't more popular. Everything is so insanely fast. You really get a better idea of what your computer is actually doing instead of just standing on engineers' shoulders. It's great.

After the game was 90% finished (LOL) I started using Swift and Spritekit to get the visuals on the screen and working on iPhone. That was less fun. I didn't understand how to use xCode at all or how to keep writing tests, so I stopped doing TDD because I was '90% done anyway' and 'surely I'll figure out how to do basic debugging'. I'll know better next time...

Hey! How do I do machine learning?

Well first you start off with a metric shit ton of data.
And then you .fit() your data
from there you can .predict() your data

Trust me, the algorithms are already there. All you need to do is get the data.

I work with statistics/data analysis and web development. I study these subjects for almost a decade and now I have 4 years of practical experience.

This information is on my LinkedIn profile and from time to time tech recruiters contact me wanting to have an interview. I always accept because I find it a great way to practice interviews and talking in English, as it isn't my native language.

A remark that I always make to my colleagues wanting to start doing data analysis related work is that it may seem similar to development, but it's not. When you develop, your code work or not. It may be ugly, it may be full of security problems, but you almost always have a clear indication if things are functioning. It's possible to more or less correlate experience using a programming language with knowing how to develop.

Data science is different. You have to know what you are doing because the code will run even if you are doing something totally wrong. You have to know how to interpret the results and judge if they make sense. For this the mathematics and theory behind is as important as the programming language you use.

Ok, so I go to my first interview for a data science position. Then I discover that I will be interview by... a psychologist. A particularly old one. Yeah. Great start.

She proceeds to go through the most boring checklist of questions I ever saw. The first one? "Do you know Python?". At this point I'm questioning myself why I agreed to be interviewed. A few minutes later, a super cringy one: "Can you tell me an example of your amazing analytics skills?". I then proceed to explain what I wrote in the last two paragraphs to her. At this point is clear that she has no idea of what data science is and the company probably googled what they should expect from a candidate.

20 minutes later and the interview is over. A few days later I receive an email saying that I was not selected to continue with the recruitment process because I don't have enough experience.

In summary: an old psychologist with no idea on how data science works says I don't have experience on the subject based on a checklist that they probably google. The interview lasted less than 30 minutes.

Two weeks later another company interviews me, I gave basically the same answers and they absolutely liked what they heard. Since that day I stopped trying to understand what is expected from you on interviews.

So I was wondering if any of you know if any good ways to inject additional functionality into a function in CPP. My use case is injecting a counter into an OpenGL draw function to see how many times per frame it's called. I know I can do this using assembly Inca more hacky manner as you might do for cheats in games(code caves), but I'm more interested in adding is for debugging/statistics for the game engine I'm working on. Basically im looking for a portable stable way of doing it that when I compile as a debug build, the code gets added to various functions, and when I compile under release, it doesn't.

Example:
glDraw();

Would call
glDraw() {
drawCount++; //some debug stuff
glDraw(); //call the real one internally
}

I should mention with code caves you can do this by saving the original address of the function, patching the vTable to point to your new function that has the same parameters etc, then all calls to that function are redirected to yours instead and then you simply call the original function with the address of the function you originally saved. That said, I'm not sure how to access vTable, etc the "normal" way...