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Minimalist Data Wrangling with Python
Minimalist Data Wrangling with Python is envisaged as a student's first introduction to data science, providing a high-level overview as well as discussing key concepts in detail. We explore methods for cleaning data gathered from different sources, transforming, selecting, and extracting features, performing exploratory data analysis and dimensionality reduction, identifying naturally occurring data clusters, modelling patterns in data, comparing data between groups, and reporting the results. This textbook is a non-profit project. Its online and PDF versions are freely available at Make make sure to check them out before making an order. Note that 0% (zero) profit goes to the author and that the print price is set by Amazon (the author requested that it should be as small as possible - probably the reason why it is not available on the US marketplace - check out the other ones...). This is version 1.0.3 of the book (last updated 2023-02-06).
440 pages, Paperback
Published August 24, 2022
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