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Title: Python DataScience Handbook (updated version)

Description: This repository contains the entire Python Data Science Handbook, in the form of (free!) Jupyter notebooks. * This repo is a fork of jakevdp/PythonDataScienceHandbook with updated examples

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Domain: marcelmaatkamp.github.io

authorCopyright © Jake Vanderplas

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Home https://marcelmaatkamp.github.io/
PythonDataScienceHandbook https://marcelmaatkamp.github.io/notebooks/00.00-Preface/
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marcelmaatkamp/PythonDataScienceHandbook https://github.com/marcelmaatkamp/PythonDataScienceHandbook
Home https://marcelmaatkamp.github.io/
How to Use this Book https://marcelmaatkamp.github.io/PythonDataScienceHandbook#how-to-use-this-book
About https://marcelmaatkamp.github.io/PythonDataScienceHandbook#about
Software https://marcelmaatkamp.github.io/PythonDataScienceHandbook#software
License https://marcelmaatkamp.github.io/PythonDataScienceHandbook#license
Code https://marcelmaatkamp.github.io/PythonDataScienceHandbook#code
Text https://marcelmaatkamp.github.io/PythonDataScienceHandbook#text
Preface https://marcelmaatkamp.github.io/notebooks/00.00-Preface/
IPython: Beyond Normal Python https://marcelmaatkamp.github.io/notebooks/01.00-IPython-Beyond-Normal-Python/
Help and Documentation in IPython https://marcelmaatkamp.github.io/notebooks/01.01-Help-And-Documentation/
Keyboard Shortcuts in the IPython Shell https://marcelmaatkamp.github.io/notebooks/01.02-Shell-Keyboard-Shortcuts/
IPython Magic Commands https://marcelmaatkamp.github.io/notebooks/01.03-Magic-Commands/
Input and Output History https://marcelmaatkamp.github.io/notebooks/01.04-Input-Output-History/
IPython and Shell Commands https://marcelmaatkamp.github.io/notebooks/01.05-IPython-And-Shell-Commands/
None https://marcelmaatkamp.github.io/notebooks/01.06-Errors-and-Debugging.ipynb
None https://marcelmaatkamp.github.io/notebooks/01.07-Timing-and-Profiling.ipynb
More IPython Resources https://marcelmaatkamp.github.io/notebooks/01.08-More-IPython-Resources/
Introduction to NumPy https://marcelmaatkamp.github.io/notebooks/02.00-Introduction-to-NumPy/
Understanding Data Types in Python https://marcelmaatkamp.github.io/notebooks/02.01-Understanding-Data-Types/
The Basics of NumPy Arrays https://marcelmaatkamp.github.io/notebooks/02.02-The-Basics-Of-NumPy-Arrays/
Computation on NumPy Arrays: Universal Functions https://marcelmaatkamp.github.io/notebooks/02.03-Computation-on-arrays-ufuncs/
Aggregations: Min, Max, and Everything In Between https://marcelmaatkamp.github.io/notebooks/02.04-Computation-on-arrays-aggregates/
Computation on Arrays: Broadcasting https://marcelmaatkamp.github.io/notebooks/02.05-Computation-on-arrays-broadcasting/
Comparisons, Masks, and Boolean Logic https://marcelmaatkamp.github.io/notebooks/02.06-Boolean-Arrays-and-Masks/
Fancy Indexing https://marcelmaatkamp.github.io/notebooks/02.07-Fancy-Indexing/
Sorting Arrays https://marcelmaatkamp.github.io/notebooks/02.08-Sorting/
Structured Data: NumPy's Structured Arrays https://marcelmaatkamp.github.io/notebooks/02.09-Structured-Data-NumPy/
Data Manipulation with Pandas https://marcelmaatkamp.github.io/notebooks/03.00-Introduction-to-Pandas/
Introducing Pandas Objects https://marcelmaatkamp.github.io/notebooks/03.01-Introducing-Pandas-Objects/
Data Indexing and Selection https://marcelmaatkamp.github.io/notebooks/03.02-Data-Indexing-and-Selection/
Operating on Data in Pandas https://marcelmaatkamp.github.io/notebooks/03.03-Operations-in-Pandas/
Handling Missing Data https://marcelmaatkamp.github.io/notebooks/03.04-Missing-Values/
Hierarchical Indexing https://marcelmaatkamp.github.io/notebooks/03.05-Hierarchical-Indexing/
Combining Datasets: Concat and Append https://marcelmaatkamp.github.io/notebooks/03.06-Concat-And-Append/
Combining Datasets: Merge and Join https://marcelmaatkamp.github.io/notebooks/03.07-Merge-and-Join/
Aggregation and Grouping https://marcelmaatkamp.github.io/notebooks/03.08-Aggregation-and-Grouping/
Pivot Tables https://marcelmaatkamp.github.io/notebooks/03.09-Pivot-Tables/
Vectorized String Operations https://marcelmaatkamp.github.io/notebooks/03.10-Working-With-Strings/
Working with Time Series https://marcelmaatkamp.github.io/notebooks/03.11-Working-with-Time-Series/
High-Performance Pandas: eval() and query() https://marcelmaatkamp.github.io/notebooks/03.12-Performance-Eval-and-Query/
Further Resources https://marcelmaatkamp.github.io/notebooks/03.13-Further-Resources/
Visualization with Matplotlib https://marcelmaatkamp.github.io/notebooks/04.00-Introduction-To-Matplotlib/
Simple Line Plots https://marcelmaatkamp.github.io/notebooks/04.01-Simple-Line-Plots/
Simple Scatter Plots https://marcelmaatkamp.github.io/notebooks/04.02-Simple-Scatter-Plots/
Visualizing Errors https://marcelmaatkamp.github.io/notebooks/04.03-Errorbars/
Density and Contour Plots https://marcelmaatkamp.github.io/notebooks/04.04-Density-and-Contour-Plots/
Histograms, Binnings, and Density https://marcelmaatkamp.github.io/notebooks/04.05-Histograms-and-Binnings/
Customizing Plot Legends https://marcelmaatkamp.github.io/notebooks/04.06-Customizing-Legends/
Customizing Colorbars https://marcelmaatkamp.github.io/notebooks/04.07-Customizing-Colorbars/
Multiple Subplots https://marcelmaatkamp.github.io/notebooks/04.08-Multiple-Subplots/
Text and Annotation https://marcelmaatkamp.github.io/notebooks/04.09-Text-and-Annotation/
Customizing Ticks https://marcelmaatkamp.github.io/notebooks/04.10-Customizing-Ticks/
Customizing Matplotlib: Configurations and Stylesheets https://marcelmaatkamp.github.io/notebooks/04.11-Settings-and-Stylesheets/
Three-Dimensional Plotting in Matplotlib https://marcelmaatkamp.github.io/notebooks/04.12-Three-Dimensional-Plotting/
Geographic Data with Basemap https://marcelmaatkamp.github.io/notebooks/04.13-Geographic-Data-With-Basemap/
Visualization with Seaborn https://marcelmaatkamp.github.io/notebooks/04.14-Visualization-With-Seaborn/
Further Resources https://marcelmaatkamp.github.io/notebooks/04.15-Further-Resources/
Machine Learning https://marcelmaatkamp.github.io/notebooks/05.00-Machine-Learning/
What Is Machine Learning? https://marcelmaatkamp.github.io/notebooks/05.01-What-Is-Machine-Learning/
Introducing Scikit-Learn https://marcelmaatkamp.github.io/notebooks/05.02-Introducing-Scikit-Learn/
Hyperparameters and Model Validation https://marcelmaatkamp.github.io/notebooks/05.03-Hyperparameters-and-Model-Validation/
Feature Engineering https://marcelmaatkamp.github.io/notebooks/05.04-Feature-Engineering/
In Depth: Naive Bayes Classification https://marcelmaatkamp.github.io/notebooks/05.05-Naive-Bayes/
In Depth: Linear Regression https://marcelmaatkamp.github.io/notebooks/05.06-Linear-Regression/
In-Depth: Support Vector Machines https://marcelmaatkamp.github.io/notebooks/05.07-Support-Vector-Machines/
In-Depth: Decision Trees and Random Forests https://marcelmaatkamp.github.io/notebooks/05.08-Random-Forests/
In Depth: Principal Component Analysis https://marcelmaatkamp.github.io/notebooks/05.09-Principal-Component-Analysis/
In-Depth: Manifold Learning https://marcelmaatkamp.github.io/notebooks/05.10-Manifold-Learning/
In Depth: k-Means Clustering https://marcelmaatkamp.github.io/notebooks/05.11-K-Means/
In Depth: Gaussian Mixture Models https://marcelmaatkamp.github.io/notebooks/05.12-Gaussian-Mixtures/
In-Depth: Kernel Density Estimation https://marcelmaatkamp.github.io/notebooks/05.13-Kernel-Density-Estimation/
Application: A Face Detection Pipeline https://marcelmaatkamp.github.io/notebooks/05.14-Image-Features/
Further Machine Learning Resources https://marcelmaatkamp.github.io/notebooks/05.15-Learning-More/
Chapter 6 https://marcelmaatkamp.github.io/notebooks/06.00-Figure-Code.ipynb
How to Use this Book https://marcelmaatkamp.github.io/PythonDataScienceHandbook#how-to-use-this-book
About https://marcelmaatkamp.github.io/PythonDataScienceHandbook#about
Software https://marcelmaatkamp.github.io/PythonDataScienceHandbook#software
License https://marcelmaatkamp.github.io/PythonDataScienceHandbook#license
Code https://marcelmaatkamp.github.io/PythonDataScienceHandbook#code
Text https://marcelmaatkamp.github.io/PythonDataScienceHandbook#text
https://github.com/marcelmaatkamp/PythonDataScienceHandbook/edit/master/docs/README.md
https://marcelmaatkamp.github.io/PythonDataScienceHandbook#python-data-science-handbook
https://mybinder.org/v2/gh/jakevdp/PythonDataScienceHandbook/master?filepath=notebooks%2FIndex.ipynb
https://colab.research.google.com/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/Index.ipynb
Python Data Science Handbookhttp://shop.oreilly.com/product/0636920034919.do
https://marcelmaatkamp.github.io/PythonDataScienceHandbook#how-to-use-this-book
https://jakevdp.github.io/PythonDataScienceHandbook/https://jakevdp.github.io/PythonDataScienceHandbook/
notebookshttps://marcelmaatkamp.github.io/notebooks
Google Colabhttp://colab.research.google.com
https://colab.research.google.com/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/Index.ipynb
binderhttps://beta.mybinder.org/
https://mybinder.org/v2/gh/jakevdp/PythonDataScienceHandbook/master?filepath=notebooks%2FIndex.ipynb
O'Reilly Mediahttp://shop.oreilly.com/product/0636920034919.do
https://marcelmaatkamp.github.io/PythonDataScienceHandbook#about
IPythonhttp://ipython.org
NumPyhttp://numpy.org
Pandashttp://pandas.pydata.org
Matplotlibhttp://matplotlib.org
Scikit-Learnhttp://scikit-learn.org
A Whirlwind Tour of Pythonhttps://github.com/jakevdp/WhirlwindTourOfPython
Index.ipynbhttp://nbviewer.jupyter.org/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/Index.ipynb
https://marcelmaatkamp.github.io/PythonDataScienceHandbook#software
requirements.txthttps://marcelmaatkamp.github.io/requirements.in
condahttp://conda.pydata.org
https://marcelmaatkamp.github.io/PythonDataScienceHandbook#__codelineno-0-1
https://marcelmaatkamp.github.io/PythonDataScienceHandbook#__codelineno-1-1
Managing Environmentshttp://conda.pydata.org/docs/using/envs.html
https://marcelmaatkamp.github.io/PythonDataScienceHandbook#license
https://marcelmaatkamp.github.io/PythonDataScienceHandbook#code
MIT licensehttps://marcelmaatkamp.github.io/LICENSE-CODE
Open Source Initiativehttps://opensource.org/licenses/MIT
https://marcelmaatkamp.github.io/PythonDataScienceHandbook#text
CC-BY-NC-ND licensehttps://marcelmaatkamp.github.io/LICENSE-TEXT
Creative Commonshttps://creativecommons.org/licenses/by-nc-nd/3.0/us/legalcode
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