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python-pandas

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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.

Here are 56 public repositories matching this topic...

A comprehensive Business Analytics project mapping e-commerce customer journeys, identifying funnel bottlenecks, and optimizing conversion rates to recover revenue leakage. Features a Python pipeline, advanced Excel analysis, and a PowerBI-style interactive Chart.js web dashboard.

  • Updated Aug 5, 2026
  • Python

An enterprise-grade, PowerBI-style interactive sales command center built in HTML/CSS/JS and powered by an automated Python data pipeline processing 105,000+ transactions. Features linear forecasting, What-If simulation modeling, and an interactive AI Copilot.

  • Updated Aug 13, 2026
  • Python

An end-to-end banking analytics platform featuring automatic data generation, statistical fraud detection, credit risk tiering, and an interactive machine learning customer churn simulator built with Streamlit.

  • Updated Jun 13, 2026
  • Python

Created by Wes McKinney

Latest release 19 days ago

Followers
458 followers
Repository
pandas-dev/pandas
Website
github.com/topics/pandas
Wikipedia
Wikipedia

Related topics

data-science machine-learning numpy python