Python
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Companion materials and IPython notebooks for the 'Python for Data Analysis' book, covering pandas, NumPy, and data science workflows.
Python implementations of popular machine learning algorithms from scratch with interactive Jupyter demos and mathematical explanations.
A collection of Python programs, usually short and challenging, designed to perfect specific programming skills.
A Python framework for building analytical web applications and dashboards without writing JavaScript.
A Python logging library that simplifies configuration with a single logger, colorful output, and powerful features like rotation and exception catching.
An industrial deep learning framework supporting unified dynamic/static graphs, automatic parallelism, and integrated training/inference for large models.
An industrial deep learning framework from China supporting unified dynamic/static graphs, automatic parallelism, and integrated training/inference for large models.
Fast automatic speech recognition with accurate word-level timestamps and speaker diarization, built on OpenAI's Whisper.
A workflow orchestration framework for building resilient data pipelines in Python.
A declarative GUI toolkit for building native user interfaces across embedded, desktop, and mobile platforms using Rust, C++, JavaScript, or Python.
Saleor Core: the high performance, composable, headless commerce API.
A GraphQL-native, headless commerce API platform for building scalable, composable e-commerce solutions.
A comprehensive Python library for creating static, animated, and interactive visualizations and publication-quality figures.
Python Backtesting library for trading strategies
A reactive Python notebook that's reproducible, git-friendly, and deployable as scripts or apps.
A fast, simple, and beautiful static site generator for building project documentation from Markdown files.
An experimental Python framework for building self-building autonomous agents with a function management system and dashboard.
An elegant and simple Python library for fetching financial data from various sources, designed for quantitative research.
Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
A lean and efficient implementation of Python 3 for microcontrollers, embedded systems, and constrained platforms.
Open-source data integration platform for building ELT pipelines from APIs, databases, and files to data warehouses, lakes, and lakehouses.
A free, self-taught curriculum following undergraduate Data Science guidelines using MOOCs from top universities.
Turn any Python command line program into a GUI application with one line using a decorator.
A repository of examples, utilities, and best practices for building and deploying production-ready recommendation systems.
GraalVM compiles Java and other JVM languages into native executables for instant startup, peak performance, and reduced resource usage.
A fast, automated tool that decrypts encryptions, decodes encodings, and cracks hashes without prior knowledge of the key or cipher.
An open-source IPAM and DCIM solution for modeling and documenting network infrastructure as a source of truth.
An open-source, event-driven algorithmic trading engine for backtesting and live trading across multiple financial markets.
Open source machine learning framework for building contextual text- and voice-based chatbots and assistants.
Award-winning free and open source home theater/media center software for playing and organizing digital media across multiple platforms.
A flexible and efficient deep learning framework that mixes symbolic and imperative programming for heterogeneous distributed systems.
A flexible and efficient deep learning framework that mixes symbolic and imperative programming for heterogeneous distributed systems.
A static type checker for Python that enforces type hints to catch bugs before runtime.
A Django-based content management system focused on flexibility, user experience, and developer control.
An interactive visualization library for modern web browsers, built from Python.
An automatic forecasting procedure for time series data with multiple seasonality and linear or non-linear growth.
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