python-pandas
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.
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Practice your pandas skills!
- Updated Oct 17, 2025
- Jupyter Notebook
Repository to store sample python programs for python learning
- Updated Jul 24, 2025
- Jupyter Notebook
Pandas is a high-level data manipulation tool developed by Wes McKinney. It is built on the Numpy package and its key data structure is called the DataFrame. DataFrames allow you to store and manipulate tabular data in rows of observations and columns of variables.
- Updated Dec 9, 2022
- Jupyter Notebook
Material for a Jupyter-based Python tutorial, with Introductory, Advanced, Libraries modules
- Updated Jul 6, 2026
- Jupyter Notebook
Using Python Pandas dataframe to read and insert data to Microsoft SQL Server
- Updated May 3, 2021
- Python
Uber is interested in predicting rider retention. To help explore this question, they have provided a sample dataset of a cohort of users.
- Updated Mar 8, 2018
- Jupyter Notebook
In this series, we're going to learn the fundamentals of the popular Python data science tool called Pandas.
- Updated Oct 20, 2021
- Jupyter Notebook
Project examines factors affecting the change in car sales between 2019 and 2020 utilizing real world data, python, pandas, matplotlib and jupyter notebook.
- Updated Feb 10, 2021
- Jupyter Notebook
Quantium Virtual Experience Program hosted by Forage
- Updated Feb 15, 2021
- Jupyter Notebook
Combine your new algorithmic trading skills with your existing skills in financial Python programming and machine learning to create an algorithmic trading bot that learns and adapts to new data and evolving markets.
- Updated Apr 13, 2023
- Jupyter Notebook
馃攳 Transform source code into actionable security insights with the Code-First Automated Threat Modeling Toolkit for deep risk analysis.
- Updated Aug 24, 2026
- Python
Data Structure and Beecrowd Activities, Activities designed to increase knowledge
- Updated May 30, 2024
- C#
Accumulation Data Indonesian Inflation 2020 - 2024
- Updated May 6, 2024
- Python
This python package lets you automatically download and parse european forest data from several different public sources.
- Updated May 19, 2022
- Python
Credit risk poses a classification problem that鈥檚 inherently imbalanced. Using a dataset of historical lending activity from a peer-to-peer lending services company, build a model that can identify the creditworthiness of borrowers.
- Updated Oct 9, 2022
- Jupyter Notebook
Power AI coding agents with structured skills for frontend, fullstack, mobile, and shader development
- Updated Aug 25, 2026
- C#
C贸digo feito nos encontros aos s谩bado em que est谩 fazendo an谩lise
- Updated May 11, 2024
- Jupyter Notebook
This data science project aims to perform exploratory market analysis on the Automotive Market, gleaning insight into consumer preferences and demands, sales trends, and pricing fluctuations and helping automotive dealers and industry professionals better understand consumer preferences and make informed decisions on catering to their needs.
- Updated Mar 22, 2024
- Jupyter Notebook
To visualize aspects of the chess variation chess960/Fischer Random.
- Updated Mar 18, 2026
- Jupyter Notebook
These projects were created as part of Codecademy's Data Engineer Career Path course.
- Updated Dec 24, 2025
- Python
Created by Wes McKinney
Latest release about 1 month ago
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- 447 followers
- Repository
- pandas-dev/pandas
- Website
- github.com/topics/pandas
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- Wikipedia