Python data science libraries

Pandas is an open-source Python library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. It is primarily known for its DataFrame object, a tabular data structure with labeled rows and columns, designed to make working with…

Key facts

First appeared: 2008
Category: technology
Problem solved: Pandas was created to solve the problem of performing flexible and high-performance data analysis and manipulation with labeled data in Python, particularly for financial time series and structured datasets, which was inefficient or cumbersome with existing Python tools like NumPy or vanilla Python structures.
Platforms: any_python_environment, linux, macos, windows

Related technologies

IPython
NumPy
Dask
Matplotlib
SQLAlchemy
Scikit-learn
Jupyter Notebook
Seaborn

Notable users

Uber
Netflix
JPMorgan Chase
Google
various financial institutions
startups across industries
academic researchers
NASA
Spotify