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

An opinionated list of awesome Python frameworks, libraries, software and resources.

All Algorithms implemented in Python

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

A feature-rich command-line audio/video downloader

FastAPI framework, high performance, easy to learn, fast to code, ready for production

Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions

Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to clo…

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

A collection of learning resources for curious software engineers

A collection of design patterns/idioms in Python

The uncompromising Python code formatter

the only cheat sheet you need

Streamlit — A faster way to build and share data apps.

⚡ A Fast, Extensible Progress Bar for Python and CLI

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…

Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.

Minimal examples of data structures and algorithms in Python

A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.

Data Apps & Dashboards for Python. No JavaScript Required.

matplotlib: plotting with Python

Project documentation with Markdown.

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

Best Practices on Recommendation Systems

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

Faker is a Python package that generates fake data for you.

Download your Spotify playlists and songs along with album art and metadata (from YouTube if a match is found).

📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.