pymae VS PythonDataScienceHandbook

I wrote a book about Python for Mechanical and Aerospace Engineering. Website is here, Github is here, and I send a free pdf copy to students. It is in dirty imperial units, though.

Just gonna drop this: https://github.com/alexkenan/pymae/ GitHub repo with (basic) examples for using Python in mechanical and aerospace engineering

In addition to what the others mentioned (I like Automate the Boring Stuff the most), I wrote a book about the very thing! Python for Mechanical and Aerospace Engineering. Website here, github here, and I send a free copy to students!

Sorry to toot my own horn, but I wrote a book specifically for Python for mech/aero engineering. Website is here, and the github repo is here. Did you have any coding classes in school? Usually there are a few.

Check out Python for Mechanical and Aerospace Engineering if you're in mech or aero. I send free copies to students!

Python or Matlab. I'm incredibly biased, and I think Python is better. I wrote a book about it, and I send free copies to students.

You can also take a look through my Github repo for a book that I wrote about Python for mechanical and aerospace engineering. It's not quite related to what you'd be looking for, but it's probably a little closer to how you could use Python in oil & gas than "here's how you can automate report entry" (which still could be useful).

I have some basic mechanical and aerospace engineering examples here. Not sure if that counts as "physics" though. I think anything involving kinematics, energy, and/or forces are fair game!

For anybody reading this thread, I wrote a book about Python for mechanical and aerospace engineering since there was nothing out there. The website link is here and the GitHub repo with all of the finished programs is here.

Please let me know if you end up getting Python integrated into your work. The reason I was invited to speak to NLR is because I wrote a book about Python for mech/aero engineering (website here, github here, but it's really aimed at learning the language. I'm considering trying to get materials together to make a follow-up book that addresses "Great, I've learned the language. Now what?"

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/