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12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Apache Superset is a Data Visualization and Data Exploration Platform
scikit-learn: machine learning in Python
Deep Learning for humans
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Learn how to develop, deploy and iterate on production-grade ML applications.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Streamlit — A faster way to build and share data apps.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
10 Weeks, 20 Lessons, Data Science for All!
💫 Industrial-strength Natural Language Processing (NLP) in Python
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
🕸️ Web apps in pure Python 🐍
The fastai book, published as Jupyter Notebooks
Data Apps & Dashboards for Python. No JavaScript Required.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
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
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
Topic Modelling for Humans
An orchestration platform for the development, production, and observation of data assets.
🦉 Data Versioning and ML Experiments
Statistical data visualization in Python
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Python training for business analysts and traders