PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

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Aug 10, 2016

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This repository contains the complete text of the Python Data Science Handbook by Jake VanderPlas in the form of Jupyter notebooks. The book covers essential tools for working with data in Python, including IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. All content is available for free online and can be run interactively through various cloud platforms.

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Data Manipulation and AnalysisStatistical ComputingData VisualizationScientific ComputingExploratory Data AnalysisNumPy Array OperationsPandas DataFrame OperationsMatplotlib PlottingMachine Learning FundamentalsIPython Interactive ComputingJupyter Lab/NotebookData PreprocessingAcademiaEducationPython Programming TutorialData Science EducationHands-on Data Science PracticeFeature EngineeringEducational AI ResourcesPandas DataFrame ProcessingScikit-learn Machine LearningTabularLocal DevelopmentMachine Learning Fundamentals TrainingClassical Machine Learning AlgorithmsData Visualization TutorialTextOpen Source Learning MaterialsStatistical Analysis LearningResearchEducational EnvironmentJupyter Notebook

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Jupyter Notebook100.0%

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Project created: Aug 10, 2016
Forked: Mar 12, 2026
Your last push: 1 years ago
Upstream last push: 1 years ago
Tracked since: Jun 26, 2024

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