Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

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 than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

⚡ 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, AWS, and various command lines.

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

TuShare is a utility for crawling historical data of China stocks

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

Parallel computing with task scheduling

Statistical data visualization in Python

Download market data from Yahoo! Finance's API

阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.

PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis

Modin: Scale your Pandas workflows by changing a single line of code

Open Machine Learning Course

A terminal spreadsheet multitool for discovering and arranging data

Automatically visualize your pandas dataframe via a single print! 📊 💡

Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators

🍊 📊 💡 Orange: Interactive data analysis

Mimesis is a powerful Python library that empowers developers to generate massive amounts of synthetic data efficiently.