Pandas is an open source Python library for fast and flexible data analysis and manipulation. It provides powerful data structures such as Series and DataFrame that make it easy to clean, transform, analyze, and work with structured data. Widely used in data science, machine learning, and analytics, Pandas simplifies tasks like filtering, grouping, merging datasets, and handling missing values while integrating seamlessly with the Python ecosystem.
GUI-based Python code generator for data science, extension to Jupyter Lab, Jupyter Notebook and Google Colab.
Jupyter Notebook extension leveraging pandas DataFrames by integrating DataTables and ChartJS.
Data analysis library for JavaScript built with Ramda
A panda parkour game, based on Cocos2d-js, running on Android / iOS
JavaScript data transformation and analysis toolkit inspired by Pandas and LINQ.
A free, fast, public domain data science studio
This is a repository for immersive learning, meditation or software development.
An open-source toolkit for quantitative analysis of crypto & stock markets, featuring an advanced market screener, portfolio backtester, and companion tools for the Gunbot trading bot.
把一整年的微信聊天记录，生成一份可滚动、可分享的年度报告 - Generate a Spotify Wrapped-style annual report from your WeChat chat history.
A Pandas-inspired data wrangling toolkit in JavaScript
web scraping tool for grailed.com
Pandas for Node.js. JavaScript DataFrame and Series with groupBy, merge, indexing (loc/iloc/at/iat), rolling windows, and CSV I/O. Zero dependencies.
Enhanced fork of zsrl/pywencai with stronger auth refresh, retries, and parsing.
League of Legends data solution for SLO, official leagues (LCS, LCK, etc.), scrims and Solo Q.
Created by Wes McKinney
Latest release 3 days ago