The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
A lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs in the web browser, on the desktop, on mobile, and inside Jupyter notebooks.
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
[NeurIPS 2026] DataFlex: A Unified Benchmark and Evaluation Platform for Data-Centric Training of Large Language Models
Symbolic Learning in Python and Julia
The research engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Fast, accurate and scalable probabilistic data linkage with support for multiple SQL backends
Apache Superset is a Data Visualization and Data Exploration Platform
AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Summer 2027 software engineering, data science, AI, quant, product management, and hardware internship postings. Updated daily by Simplify and Pitt CSC.
A free, hands-on bioinformatics roadmap from Linux, Python & R to RNA-seq, genomics, Bioconductor, and advanced transcriptomics. Curated English tutorials, YouTube playlists, practical exercises, and research tools.
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗https://aka.ms/RD-Agent-Tech-Report
scikit-learn: machine learning in Python
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
EvoOntology: A Self-Evolving Ontology Layer for Data Agents ⚙️ EvoOntology插件为Claude Code/Codex 建立&进化本体层
⚡ TabPFN: Foundation Model for Tabular Data ⚡
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Algorithmic Trading in Python with Machine Learning
Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..
Streamlit — A faster way to build and share data apps.
A 10-week, 20-lesson beginner curriculum teaching data science through project-based lessons with quizzes and assignments.
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
”数学不难“ 之 《线性代数不难》上下册,66话题完册;欢迎批评指正
Statsmodels: statistical modeling and econometrics in Python
🕸️ Web apps in pure Python 🐍
An orchestration platform for the development, production, and observation of data assets.
Distributed SQL query engine for big data analytics across many data sources, formerly known as PrestoSQL.
OpenRefine is a free, open source power tool for working with messy data and improving it
Refine high-quality datasets and visual AI models
PocketStrike is a privacy-first mobile AI workstation. It combines zero-cloud native on-device GGUF inference (ARM NEON accelerated) │ with frontier cloud LLMs, multi-step ReAct agent tools, Model Context Protocol (MCP) servers, self-evolving cross-session memory, and FLUX neural image │ generation.
Open Source Metering and Usage Based Billing API ⭐️ Consumption tracking, Subscription management, Pricing iterations, Payment orchestration & Revenue analytics
💫 Industrial-strength Natural Language Processing (NLP) in Python
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
2027 AI/ML internship & new graduate job list updated daily
The most comprehensive SQL guide from a real-world expert! Learn everything from basics to advanced queries, optimizations, and real-world SQL
🦉 Data Versioning and ML Experiments
The Cloud Native AI Platform
Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷
Ultra-fast and customizable Python charts
AI data analyst for transparent, reproducible analysis. Works step by step in Python, verifies the evidence behind its reports, and supports a wide selection of models, including local open-weight models.
:memo: An awesome Data Science repository to learn and apply for real world problems.
Always know what to expect from your data.
Data science interview questions and answers
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
Business intelligence as code: build fast, interactive data visualizations in SQL and markdown
⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Transformers / verl / LLaMA Factory / ms-swift / Ultralytics / MMEngine / Keras etc.
Data Apps & Dashboards for Python. No JavaScript Required.
XGo is a programming language that reads like plain English. But it's also incredibly powerful — it lets you leverage assets from C/C++, Go, Python, and JavaScript/TypeScript, creating a unified software engineering ecosystem. Our vision is to enable everyone to become a builder of the world.
Open Source Feature Flags, Experimentation, and Product Analytics
DeepAnalyze is the first agentic LLM for autonomous data science. 🎈你的AI数据分析师,自动分析大量数据,一键生成专业分析报告!
Notebooks for the third edition of Think Stats
A comprehensive guide to building a modern data warehouse with SQL Server, including ETL processes, data modeling, and analytics.
The fastai book, published as Jupyter Notebooks
Statistical data visualization in Python
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
[SIGMOD'27] Easy Data Preparation with latest LLMs-based Operators and Pipelines.