wesm/pydata-book

wesm/pydata-book has 25,085 GitHub stars and 15,700 forks. GitHot measured +1 stars in 24 hours and +10 in 7 days. Last checked 2026-11-11 17:59 UTC. Last push 2025-10-17.

이 수치를 측정하는 방법

O'Reilly Media에서 출간한 Wes McKinney의 《Python for Data Analysis》 자료 및 IPython 노트북

25,085 스타 15,700 forks +1 in 24h

측정된 스타 증가

in 24h: +1
in 7 days: +10
in 15 days: 기록 수집 중
in 1 month: 기록 수집 중

서로 겹치는 기간의 순증가량이며 일별 합계가 아닙니다. 측정값이 없으면 비워 둡니다. 스타는 관심도를 나타내며 품질을 보장하지 않습니다.

README.md

Original

Python for Data Analysis, 3rd Edition

Materials and IPython notebooks for "Python for Data Analysis, 3rd Edition" by Wes McKinney, published by O'Reilly Media. Book content including updates and errata fixes can be found for free on my website.

Buy the book on Amazon

Follow Wes on Twitter:

Setup Instructions

Option 1: Using uv (Recommended)

uv is a fast Python package installer and resolver. To get started:

Install uv if you haven't already:

curl -LsSf https://astral.sh/uv/install.sh | sh

Start Jupyter Notebook with all dependencies:

uv run jupyter notebook

That's it! uv will automatically create a virtual environment and install all required packages from pyproject.toml.

Option 2: Using Conda

Create a new conda environment:

conda create -n pydata-book python=3.11
conda activate pydata-book

Install dependencies:

pip install -r requirements.txt

Start Jupyter Notebook:

jupyter notebook

Note: This project uses pandas 2.0.3 to ensure compatibility with the notebooks.

2nd Edition Readers

If you are reading the 2nd Edition (published in 2017), please find the reorganized book materials on the 2nd-edition branch.

1st Edition Readers

If you are reading the 1st Edition (published in 2012), please find the reorganized book materials on the 1st-edition branch.

IPython Notebooks:

License

Code

The code in this repository, including all code samples in the notebooks listed above, is released under the MIT license. Read more at the Open Source Initiative.