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.

https://www.datacamp.com/community/blog/python-numpy-cheat-sheet

I've been using it as a reference as I'm learning

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

Python Cheat Sheet can be really helpful when you’re trying a set of exercises related to a specific topic or working on a project. Rather than explaining to you the importance of cheat sheets, why not just begin with the most useful Python resources available on the internet (for free) in the form of cheat sheet.

You can download these Cheat Sheets in JPG format and PDF too.

1. Python for Data Science Cheat Sheet (Datacamp)

2. Python Cheat Sheet for Data Science: Basics (Dataquest)

3. Beginner's Python Cheat Sheet (Python Crash Course)

4. Python Cheat Sheet for Data Science: Intermediate (Dataquest)

5. Importing Data in Python Cheat Sheet (Datacamp)

6. Python Numpy Cheat Sheet (Dataquest)

7. Python Data Visualization: Bokeh Cheat Sheet (Datacamp)

8. Pandas Cheat Sheet: Python for Data Science (Dataquest)

Share & Learn! Do add your favourite Python Cheat Sheet in the comments below.

Hi everyone!

Today I was doing some pandas exercises on Kaggle and I found this cheat sheet that can be really useful on daily work.

I don't know if this is an old news or something but I thought that will be good to share it, especially for beginners as me.

• Pandas Cheat Sheet: Link

UPDATE:

Here are others cheat sheet resources provided by users:

• R Cheat Sheets: Link ---> @fr_1_1992

• ML, DP, AI: Link ---> @EnErgo

• Numpy, Python, R: Link

They're from the same author and are a great way to start with Python for data science. I've had all of these printed and on my desk at all times (except the beginners one) and they save me a lot of time and distraction. Here they are in no particular order:

• Pandas

• SciPy

• NumPy

• Scikit-Learn (Machine Learning)

• Bokeh (visualization)

• Jupyter Notebooks Guide

• Beginners cheat sheet (basics covered)

Let me know if you have any other suggestions