Python Cheat Sheets

Welcome to our cheat sheet for working with text data in Python! We've compiled a list of the most useful functions and packages for cleaning, processing, and analyzing text data in Python, along with clear examples and explanations, so you'll have everyt

Python is the most popular programming language in data science. Use this cheat sheet to jumpstart your Python learning journey.

Plotly is one of the most widely used data visualization packages in Python. Learn more about it in this cheat sheet.

Working with dates and times is essential when manipulating data in Python. Learn the basics of working with datetime data in this cheat sheet.

Regular expressions (regex or regexp) are a pattern of characters that describe an amount of text. Regular expressions are one of the most widely used tools in natural language processing and allow you to supercharge common text data manipulation tasks. U

This handy one-page reference presents the Python basics that you need to do data science

Check out the first official spaCy cheat sheet! A handy two-page reference to the most important concepts and features.

This PySpark cheat sheet with code samples covers the basics like initializing Spark in Python, loading data, sorting, and repartitioning.

This Python Seaborn cheat sheet with code samples guides you through the data visualization library that is based on Matplotlib.

This Python cheat sheet is a handy reference with code samples for doing linear algebra with SciPy and interacting with NumPy.

A handy cheat sheet for interactive plotting and statistical charts with Bokeh.

This PySpark SQL cheat sheet is your handy companion to Apache Spark DataFrames in Python and includes code samples.