Python Cheat Sheets

Use AI to write Python code for data science. This cheat sheet covers prompting principles and ready-to-run snippets for pandas, NumPy, lists, dictionaries, strings, and file paths.

Build with the Claude API in Python. This cheat sheet covers the Anthropic SDK essentials — messages, streaming, vision, tool use, embeddings, and token counting — with ready-to-run code.

Learn everything you need to know about PyTorch in this convenient cheat sheet

ChatGPT and large language models have taken the world by storm. In this cheat sheet, learn the basics on how to leverage one of the most powerful AI APIs out there, then OpenAI API.

In this cheat sheet, learn all about the basics of working with Conda. From managing and installing packages, to working with channels & environments, learn the fundamentals of the conda package management tool suite.

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 everything you need to start developing!

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.

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.