Python for Data Analysis, 2nd Edition

Overview

Python for Data Analysis, 2nd Edition

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

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1st Edition Readers

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

Translations

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.

Owner
Wes McKinney
CTO of https://voltrondata.com. Creator of Python pandas. Co-creator Apache Arrow. @apache Member and Apache Parquet PMC
Wes McKinney
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Common bioinformatics database construction

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Lale is a Python library for semi-automated data science. Lale makes it easy to automatically select algorithms and tune hyperparameters of pipelines that are compatible with scikit-learn, in a type-

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small package with utility functions for analyzing (fly) calcium imaging data

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Data imputations library to preprocess datasets with missing data

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An extension to pandas dataframes describe function.

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Package for decomposing EMG signals into motor unit firings, as used in Formento et al 2021.

EMGDecomp Package for decomposing EMG signals into motor unit firings, created for Formento et al 2021. Based heavily on Negro et al, 2016. Supports G

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