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

10 Weeks, 20 Lessons, Data Science for All!

:zap: A Fast, Extensible Progress Bar for Python and CLI

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

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

150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data

High-performance runtime for data analytics applications

Jupyter extensions that help you write code faster: Context aware AI Chat, Autocomplete, and Spreadsheet

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

The JavaScript data transformation and analysis toolkit inspired by Pandas and LINQ.

Retentioneering: product analytics, data-driven CJM optimization, marketing analytics, web analytics, transaction analytics, graph visualization, process mining, and behavioral segmentation in Python. Predictive analytics over clickstream, AB tests, machine learning, and Markov Chain simulations.