Thread by @HangukQuant

end of quant tool series with HangukQuant. Take your Python programming skills to the next level with these resources:
Note that these resources are fairly detailed, not difficult but also so comprehensive that they will require resilience to sit through and study.

There is no avoiding hard work here, unfortunately.

Fluent Python is a great book for understanding Python basics, internals and mechanics top to bottom. This will give you knowledge of the language itself.

Next, you need to pick up object oriented programming. This can be done in any langauge, and there are great Java books. If you want to stick to Python, just go with Python object-oriented programming.

Next, you need software engineering and architecture principles. This can be somewhat of an overkill if you are not programming large scale systems. Go with `architecture patterns with python.'

Now, you can write fairly neat code. But you want to take your programming further, especially if you are a scientist and not just a `programmer'.

This will start to take you to the next level.

You can start with High Performance Python: Practical Performant Programming for Humans.

Next, Python Concurrency with asyncio.

Now, for the nitty gritty stuff.

Python Network Programming: Conquer all your networking challenges with the powerful Python language.

Once you read these books, your foundations should be really solid. If there are things you don't know about Python, you are at a level where you know what you don't know. From here on, brave on and find your own material for whatever needs you got.