An Interactive Cheatsheet for NumPy
Cheat Sheets for the Python Trinity - Numpy, Pandas, and Matplotlib
Good cheat sheet for beginners
Found this really cool NumPy cheat sheet and thought I'd share
Videos
Earlier this year I put out an interactive cheat sheet for Python. I got a lot of requests for a NumPy sheet as well. So here it is, The NumPy SpeedSheet:
https://speedsheet.io/s/numpy
The idea is simple, have a reference sheet that brings the answer to you. Use the search on top to lookup what you need and the sheet returns the answer in real time.
This sheet covers all things in the NumPy Library. Topics range from creating arrays to array manipulation to array operations with lots of examples to go along.
Here is a video tutorial I created to go along with the SpeedSheet:
https://youtu.be/0z9aaotXp4E
I'd love some feedback from any data scientists or anyone using NumPy out there for important things that are missing, or things that could be done better.
And for reference, here is the original Python SpeedSheet:
https://speedsheet.io/s/python
So play around with it and let me know what you think.
TLDR:
This is an interactive cheat sheet for the Numpy library.
The Python Trinity is a group of 3 Python packages (Numpy, Pandas, and Matplotlib) for Machine Learning.
Here are some cheat sheets to help you on your journey of Machine Learning!
Numpy
Source: DataCamp Numpy Cheat Sheet
Pandas
Source: DataCamp Pandas Cheat Sheet
Matplotlib
Source: DataCamp Matplotlib Cheat Sheet