pandas

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

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

⚡ 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.

Download market data from Yahoo! Finance's API

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

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

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

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

TuShare is a utility for crawling historical data of China stocks

Statistical data visualization in Python

Parallel computing with task scheduling

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

Open Machine Learning Course

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

A terminal spreadsheet multitool for discovering and arranging data

the portable Python dataframe library

🍊 📊 💡 Orange: Interactive data analysis

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

A股自动选股系统 — 多种技术形态自动扫描，收盘后自动运行并推送飞书