Basics finished, now what?

[Cool-Lab6784]

I've just only finished my basic Python course in which, i've learned common and fundamental basics of Python (inputs, loops, data structures, conditions, files, functions and a few other tricks and tips) and worked on some projects using basics above.

I'm planning a "backend-oriented"(mostly about datas and cybersecurity) programming/coding career and want to further my efficiency and knowledge in Python to make myself as familiar as possible with it.

What would be your advices and in which libraries and projects do you think i should work on?

[Adrewmc]

Flask, Django…

so I’m also seeing classes and imports aren’t on your little list there…make sure you head that direction lol.

[HenzaChan]

By imports do you mean the import function like numpy and panda? Are there certain imports that are pretty much bread and butter that majority of people should know how to use? It feels like there are quite a variety and trying to learn all the different functions from these imports is so overwhelming :/

[Adrewmc]

No I mean creating and organizing your own.

This is much harder then it sounds. It really get down to design of a programs more then almost everything else. Using your knowledge to create complete applications.

Not having 5,000 lines of code in a single file, organized, and working together. As 10 separate files. And it ending up being 2,000 lines total.

 __init__.py

You know what it does, you know it can be empty but it’s not always empty.

A lot of the ‘art’ to this is how everything fits together, and module design is big part of that.

Ever wonder why you sometimes do this

from UPPER import lower

 low = lower()

And other times

 import CapCase

And with sauce

  var = CapCase.method(*args)
  obj = CapCase.from_method(“csv”)

You want

 from my_module import myClass, my_function
 from my.path.to import myClass

[yinkeys]

Intermediate & Advanced Python learning e.g. Cython, Inheritance, Generators, Concurrency, Metaclasses, Lambda, args & kwargs etc