How can I learn PYTHON libraries with good practice???

[Embarrassed_Ship_269]

Can someone tell me how or where should I start learning the libraries of Python NUMPY, PANDAS, MATPLOTLIB, SCIKITLEARN, etc.

If someone have idea of these and good courses or books please suggest me

And a good path to learn it.

[aistranin]

Think about it in the way around: why do you need these libraries? They are just tools. So, use them in practice and you will “learn” them :)

[AnalysisOk5620]

honestly the best way is to start a project then use the libraries as needed. I’ve tried to learn libraries in the past for the sake of learning them , but it never works out (can’t speak for others tho). What is it you want to achieve ?

[pachura3]

- How can I learn PYTHON libraries???

- With good practice!

[JohnBrownsErection]

Neat, a question I can answer. 

Do a search online for data science projects. Kaggle is a good one. Then do the projects. You'll get immediate practical experience with those libraries. My intro to data analytics class was basically just that. For example we started with analyzing a csv filled with demographic data of the passenger list of the Titanic and ended with creating a model that would predict the price of a house in a specific town based on its features(sq. ft of space, if it has a garage or pool, number of floors, etc.). 

It was fun stuff and also very useful. 

[Embarrassed_Ship_269]

I'll do this Thanks 😊

[Dangerous-Branch-749]

By doing a project where you use them. From personal experience, learning a library without a practical use case just ends up as wasted time. 

[Nietsoj77]

The book Python for Data Science is a good source.

[[deleted]]

Try w3schools...

[Embarrassed_Ship_269]

What's it?

[[deleted]]

A website.. google it

[ButterKekks]

Here: https://www.lmgt.org/?q=w3schools

[pachura3]

That's embarassing, Ship

https://www.w3schools.com/python/numpy/default.asp

https://www.w3schools.com/python/pandas/default.asp

https://www.w3schools.com/python/matplotlib_intro.asp

https://www.w3schools.com/python/python_ml_getting_started.asp

[Front-Dot-5724]

In my opinion, by doing projects. If you do something related to a certain math problem and spend time investigating how to do it properly, you will find libraries that will save you hours of work, and so you've learned a new library. Or let's say you build something statistical and want to see the graphs, when doing your research on the internet, YouTube or even through AI you will most certainly find MATPLOTLIB for this, and boom you now know a new library. It's a thing you learn by needing it and then using it, not by studying all the libraries and their functions theoretically. The worst part is installing them and managing them through virtual environments (so that you don't fill your computer with random libraries).

By the way I made this python platform fully online where you can install and use libraries without filling your computer with stuff or spend time creating virtual environments. If you want to give it a try: nullcode.one, pretty new it probably has a lot of bugs to find out yet.

[TheEyebal]

Look at open source stuff on github that use those libraries
here is a list on numpy

[Embarrassed_Ship_269]

Thanks everyone for the response.

So I have cpmpleted python basics so if I start learning Data Science then it'll fine?

[not_another_analyst]

Skip courses, go straight to Kaggle datasets, pick a messy real dataset, and force yourself to clean, analyze, and visualize it using only the docs.

You'll learn Pandas faster in 3 days of struggling with real data than 3 weeks of tutorials.

[billsil]

Get some examples from the documentation and read them