data-science

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, AWS, and various command lines.

🕸️ Web apps in pure Python 🐍

The fastai book, published as Jupyter Notebooks

Data Apps & Dashboards for Python. No JavaScript Required.

Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

Prefect is a workflow orchestration framework for building resilient data pipelines in Python.

matplotlib: plotting with Python

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.

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

Best Practices on Recommendation Systems

Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.

VIP cheatsheets for Stanford's CS 229 Machine Learning

📺 Discover the latest machine learning / AI courses on YouTube.

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

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

Topic Modelling for Humans

An orchestration platform for the development, production, and observation of data assets.

🦉 Data Versioning and ML Experiments

Your new Mentor for Data Science E-Learning.