pymae VS plotly

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?"

Github: https://github.com/plotly/plotly.py

First we need to install the Plotly. To create some very dynamic graphics, this tool helps a lot.

my good dude wake up and smell the plotly. Knowing the ins and outs of matplotlib is helpful but doing interactive stuff with jupyter I always use plotly.

Plotly documentation (https://plotly.com/python/)

I don´t know your workflow, but I use 2 markdown based presentations: obsidian advance slides and Quarto presentations. The former is a plugin for Obsidian, which is the software I use to take all my notes, write my thesis, etc., so It makes it extremely easy to make presentations since all my information is in Obsidian. In the other hand, Quarto is a publishing system (articles, presentations, websites books) that can be easily integrated with python and R. This makes it supper convenient for showing my data to my PI since I can analyze my data and at the same time make a presentation for the data. Besides this, Quarto also integrates with my Zotero library, so I can insert citations. Lastly, one thing that made my Quarto presentations infinitely better that the powerpoints, Is that I can insert interactive graphs with plotly, so when I'm showing my data, my PI is able to explore the data inside the presentation.

Plotly GitHub repository: https://github.com/plotly/plotly.py

I'm using plotly.py now. This is why I love this community.

Depending on the nature of your reporting requirements, you could output a formatted Excel document with Python and a library such as openpyxl, and shove that into your SharePoint environment. This would be less dynamic than PBI reports can be, but may be sufficient. If you want viz as well, you can use something like ggplot or Plotly. Again, less dynamic than PBI for the same effort.