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Minimalist Data Wrangling with Python
Version 2 2023-04-17, 01:47
Version 1 2023-03-01, 03:53
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posted on 2023-04-17, 01:47 authored by Marek GagolewskiMinimalist 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 ttps://datawranglingpy.gagolewski.com/.
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MelbourneOpen access
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2022-11-09Author URL
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data wranglingdata sciencePythonnumpyscipypandasmatplotlibseabornregressionclassificationclusteringscikit-learntime seriestext processingdata framesmatricesvectorsmissing valuesoutliersdata cleansingOpen SoftwareProgramming LanguagesSimulation and ModellingMathematical SoftwareConcurrent ProgrammingComputer SoftwareApplied Computer ScienceArtificial Intelligence and Image Processing
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