Jake VanderPlas • 3/3/2017

Reproducible Data Analysis in Jupyter

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This article presents a video case study on achieving reproducible data analysis in Jupyter notebooks. It covers loading data, visualization, version control with Git/GitHub, creating Python packages, unit testing with PyTest, and refactoring for speed and debugging, providing a full workflow for robust data science projects.

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#github #git #data analysis
Reproducible Data Analysis in Jupyter

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