Top 10 Python Math Cheat Sheets.

Hey Finxters! It is time for another cheat sheet for Python! As we all know too well, Python is super flexible and used in data science which requires a ton of math resources to be available to us since we cannot memorize all of the mathematical equations necessary.

So, I have found the top 10 Python math cheat sheets for you to pin to your wall as you develop! We only have 10, but there is a lot to cover! Without further ado, let us dive right into it!

Cheat Sheet 1: SquareSpace

This cheat sheet has everything you need to learn probability and the formulas. I would keep this handy as you are writing your ML models.

Pros: Nicely written with explanations on each formula.

Cons: Not for the beginner ML developer.

Cheat Sheet 2: MiniReference

This cheat sheet will take you through understanding linear algebra, opening the gateway to the study of higher mathematics. This 4 page pdf is an excerpt from the No Bullshit Guide to Linear Algebra. It will give you everything you need to know on the subject.

Pros: Rated ‘E’ for everyone!

Cons: None that I can see.

Cheat Sheet 3: MIT

This pdf from MIT teaches you about statistics. This is a super important pdf for those of you looking to become Data Scientists. Keep it handy in a notebook to pull out when writing your programs.

Pros: Rated ‘E’ for everyone.

Cons: None that I can see.

Cheat Sheet 4: LIMSI

This cheat sheet uses the 80/20 principle and touches base on everything you need to know for python. The maths module is one you should pay close attention to and highlight as it will help you when using math in Python.

Pros: Rated ‘E’ for everyone.

Cons: None that I can see.

Cheat Sheet 5: ReadtheDocs.org

This pdf is one you will want to keep in the binder on the desk and keep it handy. This is material for an introductory Python course for first year undergraduate Mathematics students at the University of Southampton as it goes over certain aspects you learn in Python and mathematics, including using these particular notes, Spyder.

Pros: Rated ‘E’ for everyone.

Cons: None that I can see.

Cheat Sheet 6: Cheatography

This cheat sheet has a list of Python functions from file handling to math. This cheat sheet is nice to keep handy!

Pros: Rated ‘E’ for everyone.

Cons: None that I can see.

Cheat Sheet 7: Finxter

Who could forget Finxter in all of these cheat sheets? This is an ultimate guide on the math module!! If you want to know Python and the Math module this is the place to go!

Pros: Rated ‘E’ for everyone!

Cons: None that I can see!!

Cheat Sheet 8: Data Quest

Numpy is used in Python in support of the math module. The numpy functions are used in statistics, vector and scalar math. Shorthand functions are your best friend when you don’t need to write out the functions.

Pros: Rated ‘E’ for everyone!

Cons: None that I can see.

Cheat Sheet 9: DataCamp

Scikit is another library of Python for machine learning. In this cheat sheet you will use predictions, regression and clustering metrics alongside the math module to give you what you want when building your supervised/unsupervised machine learning algorithms.

Pros: Rated ‘E’ for everyone.

Cons: None that I can see.

Cheat Sheet 10: DataCamp

This cheat sheet is all about Scipy and the linear algebra used for its functions in Python. Scipy was built as an extension of Numpy allowing you to interact with it. You should keep this one available pinned to the wall.

Pros: Rated ‘E’ for everyone.

Cons: None that I can see.