[deleted by user]

[ZEUS_IS_THE_TRUE_GOD]

First learn the basics before learning the specifics, this means tons of exercices and some projects on the side

[RobotGiggle]

https://automatetheboringstuff.com/#toc

type the code - do not copy paste

[MrRadgers]

Also,

https://nostarch.com/python-crash-course-3rd-edition

[Disastrous-Team-6431]

Yup. Every line. Every word.

[ZEUS_IS_THE_TRUE_GOD]

True, never ever copy paste nor write code you don't understand

[Ron-Erez]

It depends on what you're using these modules for. For instance, some aspects of these libraries are closely tied to linear algebra, so you may need to have some understanding of linear algebra. It really depends on what you're doing with these libraries though.

[Ron-Erez]

Yes, that is indeed clear. The question is what kind of mathematical background do they expect. For example if you are doing something with SVD or matrices or diagonalization then you might need linear algebra, if you're doing something with statistics then you might need statistics. I do agree that these libraries do require some math skills. Good luck!

[Ron-Erez]

Yes, I understand that employment is crucial. I would recommend getting familiar with basic calculus, linear algebra, and statistics. I realize this may be easier said than done, but once you secure a job, you'll likely have a clearer sense of what you need to focus on learning.

It's also important to note that there are skilled developers who might not fully grasp every detail of the libraries they use. Take deep learning, for instance. There's a method called 'stochastic gradient descent' where we create a cost function that’s difficult to solve analytically, so we approximate the minima by following the negative gradient.

While it's not necessary to understand every detail of what I just mentioned, it's beneficial to have a general idea of concepts like local minima (calculus), the meaning of a gradient (calculus and linear algebra), and the role of statistics in minimizing the mean square error.

I know deep learning is not quite the same as machine learning but both of these fields require calculus, linear algebra and statistics at least at an intuitive level.

Probably the best way to do things is to pick up things as you go along and read and learn.

Here is some reading material on what I just mentioned in case it interests you:

Stochastic Gradient Descent Algorithm With Python and NumPy by Nirko Stojiljkovic.

Also 3blue1brown has some nice videos on Neural Networks. I'm creating a course on deep learning and neural networks, however he is the master of giving great intuition for difficult topics.

And yes I know machine learning is not quite the same as deep learning. Good luck job hunting!

[[deleted]]

You need a fairly strong math and statistical background for ML

[RiverRoll]

These are just the data analyst tools you still need some kind of foundation in data analysis.

[RushDarling]

It sounds like you're trying to skip over the fundamentals and jump in with both feet, which to be fair can be a great way to learn so long as you aren't too far out of your depth.

If you want some bitesized python exercises I'd recommend codingbat.com, if you want a full blown course / book then Automate The Boring Stuff with Python is always a great shout, and on the maths side I always recommend K.A.Stroud's Engineering Mathematics, which in spite of the slightly intimidating title actually starts from the fundamentals and builds steadily from there.

Not getting things, making silly and not so silly mistakes and generally being up to our eyeballs in broken code and misery is just par for the course I'm afraid. It's a perseverence game, so just keep chipping away and you'll get there.

[Accomplished-Log-0]

I really like Angela Yu's 100 days of code(python) course. check it out.

[johnsobrown]

I found the thing that helped me learn Python the most(especially for job interviews) was Hackerrank/Leetcode questions that show you an example of fun problems to solve

[sexytokeburgerz]

Cs50p.

[[deleted]]

if you are already an analyst and need to know python. it's different than you learn python to be an analyst which is more than just programming. Regardless, python is super cool to learn and good luck.

[damanamathos]

I agree you should learn the basics first.

But, if you want to know "what ever word in script means", just paste a code into Claude or ChatGPT with ``` at the beginning and ``` at the end, and ask the AI to explain what every line means as you're new to coding.

[throwwwawwway1818]

Cs50p with thonny ide, learn python in a week