Python

Pretty Good Option, after all it is just a library, I could be in Any Thing, Gaming, Math, Science, Excel, whatever, so let me try QT in a Week to see what will happen and I'll come back later

just notice only that QT for python calls Pyside

OK 👌👍

I started write some apps in the second day so you will not need wait all week before start writing

Than Thats Good Hope for me

You dont really need to "learn to use the library" You are not worth by knowing many libraries, but understanding what they do - and once you understand at a deeper level what those libraries do in background - then library is just that - a collection of code which you can pick up rather quickly as you know how it works from the inside. Web applications all do the same thing. Parse request, calculate something, transform something and returns a response Same goes for any other part of programming. Once you know how it works internally, no language (and especially not a library) is going to be a much of the challenge

Depends, on what is your goal

My goal is to know and understand 3+ programming languages, it not gonna be hard, but in my python goal, it to understand and write, is all the popular library like 5+, I mean, it is a library after all, not a new programming language, and yes, I will start learning ML And DL after the pandas and numpy and other librarys things I've already mastered the plain python itself The only thing remaining that separates me from a pro is librarys, and all the other don't give up stuff is already here for me, I Never really give up and always do something

Usually the one don't learn numpy/pandas/matplotlib separately. They are not very applicable w/o each other Numpy - for heavy calculations pandas - for analysis mpt - for representation If you are doing any of ML tasks You need all three But you can delay learning of sklearn/torch/tensorflow They are useful too, but they aren't that fundamental

I'm not "the one", I'm all in all three Numpy - for heavy calculations pandas - for analysis mpt - for representation And I'm doing all of them, why? I also know some json and CSV and Excel stuff and I love math and need it and also so I need all three But why I'm delaying the DL and ML is I have to learn the first libs

did you already learn math analysis in depth?

Not the Advanced stuff I just learned a bit of numpy to see what the heck it is But Not the full thing

you need math analysis to proceed with DL and ML. That's why I ask

Well I'm learning Numpy before ML and DL, so basically: Learn the libraries that are needed in DL and ML Than learn some other libraries Than go finally learn DL and ML

libraries is one thing. I'm talking about the science behind the commands, the algorithms of actions that you should know in order to code them.

Ohhhhh that I ain't know that tho But later I'll learn that but for right now I'll pick a lib and learn it than go to something else, right now I'll focus on opencv cuz I like it and its useful too But I do Understand the code of Numpy but not that deep

Hello,am new here and I want to learn python but I have ideas but I want someone to teach me

!res

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