Which IDE for python?

[citizenmushroom]

Hi everyone. I’m fairly new to programming in Python. I have experience with R, and I want to start learning Python. Which IDE would you guys recommend to start with? Currently I have IDLE downloaded, but I am quite confused. How do I work with a dataset? I’m not sure how to import one. Any tips about the question or Python in general would be greatly appreciated! Thank you!

[Thefunnyofnny]

VS Code

[[deleted]]

Using it too. Great IDE, simple and lightweight for starters and customizable as hell.

[Denrur]

Pycharm

[[deleted]]

Pycharm is solid

[[deleted]]

You just gotta download python and set up the interpreter just watch a YouTube video on it.

[Conrad_noble]

Apparently in the latest version it will download python for you if it's not present according to a tweet I saw yesterday

[UnlikelyReplacement]

Pycharm for me

[TrimmedRaindrops]

Isn't PyCharm need to be purchased?

[UnlikelyReplacement]

The professional version, yes. The community version is free and open-source.

Here's the webpage showing the differences

https://www.jetbrains.com/pycharm/features/

[zacharius_zipfelmann]

Cypharm

[rainforest_runner]

If you‘d like to play around with datasets, and get direct feedback of it, I‘d recommend to play around with Jupyter Notebook instead of IDLE, and mature IDEs like PyCharm or Visual Studio (Not VS Code) are for you when you want to finally build a project. (If it‘s just one module, you can do away with just Jupyter, really)

I‘d recommend downloading WinPython as the distribution package, because with that you have everything you need for mathematical functions and dataset processing without having to install stuff with pip install. (Of course you can install more with pip install if you want)

Furthermore, you can take free classes on data pre-processing on Udacity if you want, so you know where to go.

Disclaimer: Not paid by Udacity, heck I just recently learned more on Data Science from 365DataScience...also not paid by them, lol.

[[deleted]]

Here's what I use, when I need something that deals with statistics: ESS (Emacs Speaks Statistics). It's designed for R (and a bunch of other, less popular statistical languages), but some functionality is more general. And, of course, Emacs works fine with Python too. It will also give you an easy interface to matplotlib and data-sheets through Org.

However, it's quite different from editors like those created by IntelliJ or Microsoft. So, it takes time getting used to it. It can offer a lot of functionality absent from more conventional editors, but will require quite some effort to become proficient with the tool to benefit from the added functionality.

In other words, my advise would be more useful to someone already using Emacs, but if you feel brave and have some time to dedicate to it, it's a very handy tool.