Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

The Python micro framework for building web applications.

scikit-learn: machine learning in Python

💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline

Rich is a Python library for rich text and beautiful formatting in the terminal.

A collection of design patterns/idioms in Python

🎨 Diagram as Code for prototyping cloud system architectures

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

Investment Research for Everyone, Everywhere.

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

The OWASP Cheat Sheet Series was created to provide a concise collection of high value information on specific application security topics.

aider is AI pair programming in your terminal

Documentation that simply works

Turn (almost) any Python command line program into a full GUI application with one line

Zipline, a Pythonic Algorithmic Trading Library

The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.

Typer, build great CLIs. Easy to code. Based on Python type hints.

SQL databases in Python, designed for simplicity, compatibility, and robustness.

The Data Engineering Cookbook

Python GUIs for Humans! PySimpleGUI is the top-rated Python application development environment. Launched in 2018 and actively developed, maintained, and supported in 2024. Transforms tkinter, Qt, …

Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals

Serverless Python

Always know what to expect from your data.

AWS SDK for Python

Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀

🧙 Build, run, and manage data pipelines for integrating and transforming data.

Python Cheat Sheet

Reads key-value pairs from a .env file and can set them as environment variables. It helps in developing applications following the 12-factor principles.

Hypothesis is a powerful, flexible, and easy to use library for property-based testing.

The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!