Python is so widely used across various industries that developers have

written guides specific to their occupations for how to use Python. The

following resources are guides for using Python in astronomy, social

sciences and other fields rather than specific companies.

* [Practical Business Python](http://pbpython.com/) covers business-related

topics such as how to automate generating large Excel spreadsheets or

perform analysis when your data is locked in Microsoft Office files.

* [Practical Python for Astronomers](https://python4astronomers.github.io/)

gives open source workshop materials to teach astronomy students how to

use Python for [data analysis](/data-analysis.html).

* [Python for the Humanities](http://fbkarsdorp.github.io/python-course/) is a

textbook on the basics of text processing in Python. The material ramps

up quickly after the first chapter so you will likely want to combine

this walkthrough with other

[great Python learning resources](/best-python-resources.html).

* [Python for Social Scientists](http://www-rohan.sdsu.edu/~gawron/python_for_ss/)

and

[Real Python's Python for Social Scientists](https://realpython.com/python-for-social-scientists/)

walkthroughs are specific to fields that work with a lot of

[data](/data.html) gathered from studies such as psychology, sociology

and economics.