styleguide VS PythonDataScienceHandbook

Hey, looking for a way to change the default PEP-8 code style to the one of Google. I see that I can set it manually or import the settings, but I've been unable to find a settings file (other than this one for Vim). I also haven't been able to find examples of what a PyCharm-supported settings file would be formatted like, so I can write one myself.

Google C++ Style Guide Example

I use intellij and import Googlecodestyles, modify it a bit to my liking and save that setting. I believe they have one for eclipse also. I believe this it is https://github.com/google/styleguide/blob/gh-pages/eclipse-java-google-style.xml

For latest rules of ShardingSphere, see [shardingsphereeclipseformatter.xml](https://github.com/apache/shardingsphere/blob/master/src/resources/shardingsphere_eclipse_formatter.xml). For references, check the [eclipse-java-google-style.xml](https://github.com/google/styleguide/blob/gh-pages/eclipse-java-google-style.xml) file.

Would it be possible to get IDE level formatting capabilities? I am not exactly looking for IDEL level customisability. I just need a way to figure out how to use Google Style Guides to format codes while editing.

You just need to have the desired Format rules, like https://github.com/google/styleguide/blob/gh-pages/intellij-java-google-style.xml

Since it's been around since 2003, I'm curious to know how many projects out there are using it. Would be great if there are some open source examples available as well. I mostly stick to Python, so I'm most familiar with the Google docstring format[1], but seeing as there are other ones[2] as well aren't those usable for other languages too? Seems to be the case of yet another "standard", though since this is such an old project I may out of my depth in saying that.

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[1]: https://github.com/google/styleguide/blob/gh-pages/pyguide.m...

[2]: https://stackoverflow.com/a/24385103

Python Data Science Handbook

Python Data Science Handbook — learn to use Python libraries such as NumPy, Pandas, Matplotlib, Scikit-Learn, and related tools to effectively store, manipulate, and gain insight from data

I don't know what tools you will be using but if you will be using Python you can start with Python Data Science Handbook by Jake VanderPlas and Data Science & Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting DataData Science & Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data which gives a very good outlook on the data science and big data frame work. PS: Jake's book is also available as jupyter notebooks so you can read and run the code at the same time.

Python Data Science Handbook by Jake VanderPlas (https://jakevdp.github.io/PythonDataScienceHandbook/)

Otherwise you can work through courses on Datacamp, Coursera, Udemy, etc, or check out this book for a more general non-spatial perspective.

7. Data Science Handbook Are you looking for a comprehensive guide to data science with Python? Look no further than the Data Science Handbook by Jake VanderPlas. This repository contains the entire book, which introduces essential tools and techniques used in data science, including IPython, NumPy, Pandas, Matplotlib, and Scikit-Learn. It’s a fantastic resource for anyone looking to deepen their understanding of data science concepts and best practices.

I can recommend https://jakevdp.github.io/PythonDataScienceHandbook/