Jake VanderPlas

Jake VanderPlas is a long-time user and developer of the Python scientific stack. He currently works as an interdisciplinary research director at the University of Washington, conducts his own astronomy research, and spends time advising and consulting with local scientists from a wide range of fields.

Content

Introduction to scikit-learn

April 21, 2017

This excerpt from Jake VanderPlas' Python Data Science Handbook

A Whirlwind Tour of Python

October 7, 2016

Jake VanderPlas explains Python’s essential syntax and semantics, built-in data types and structures, function definitions, control flow statements, and more, using Python 3 syntax.

Handling missing data

August 3, 2015

Considerations for managing missing data and a look at how Pandas tools can address missing data in Python.

Operations in Pandas

July 27, 2015

Python Data Science Handbook: Early Release

Data Indexing and Selection

July 19, 2015

Python Data Science Handbook: Early Release

Introducing Pandas Objects

July 13, 2015

Python Data Science Handbook: Early Release

Pivot tables in Python

July 6, 2015

Pivot tables are an incredibly handy tool for exploring tabular data.

Preface to Python Data Science Handbook (Early Release)

July 5, 2015

Python Data Science Handbook: Early Release

Data visualization with Seaborn

May 7, 2015

Seaborn provides an API on top of matplotlib, which uses sane plot and color defaults and simple functions for common statistical plot types.

Introduction to Support Vector Machines

May 6, 2015

This tutorial introduces Support Vector Machines (SVMs), a powerful supervised learning algorithm used to draw a boundary between clusters of data.

Three-dimensional Plotting in Matplotlib

May 4, 2015

How to create and display a wide variety of 3D objects and patterns in matplotlib.

Simple Line Plots with Matplotlib

March 3, 2015

This recipe covers the basics of setting up a matplotlib plot, and how to create simple line plots.