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pyjanitor: Clean APIs for Cleaning Data | SciPy 2019 | Eric Ma

Eric Ma
Investigator II (Data Science & Statistical Learning) at Novartis Institutes for BioMedical Research (NIBR)
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SciPy 2019
July 11 2019, Texas, United States
SciPy 2019
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pyjanitor: Clean APIs for Cleaning Data | SciPy 2019 | Eric Ma
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  • Eric Ma
    Investigator II (Data Science & Statistical Learning) at Novartis Institutes for BioMedical Research (NIBR)

About the talk

Data cleaning with the `pandas` API can sometimes be confusing. I will describe team efforts on `pyjanitor`, to create a cleaner API for data cleaning, focusing on readability and expressivity. `pyjanitor` is a port of the R `janitor` package, and provides a cleaner, verb-based method-chaining API to pandas users. I will explain `pyjanitor`'s history and design, and provide a suite of examples coded in Jupyter notebooks on how to use `pyjanitor`'s data cleaning functions.

See the full SciPy 2019 playlist at https://www.youtube.com/playlist?list=PLYx7XA2nY5GcDQblpQ_M1V3PQPoLWiDAC

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