Examples for the Book of Vaadin

Cracking the Coding Interview 6th Ed. Solutions

IntelliJ IDEA Community Edition

Mac OS X development environment setup: Easy-to-understand instructions with automated setup scripts for developer tools like Vim, Sublime Text, Bash, iTerm, Python data analysis, Spark, Hadoop Map…

Code for Head First Java

Java/Android Client for using Fatsecret REST API

Mirror of Apache Kafka

scikit-learn: machine learning in Python

Supporting code for a video series on best practices for exploratory data analysis.

Java source code to support the book "Java For Testers"

Example code for the Wiley book "Machine Learning - Hands On for Developers and Technical Professionals"

personal cheatsheets on various technologies

Productivity-centric Python big data framework for high performance at Hadoop-scale, with first-class integration with Impala. Co-founded by the creator of pandas

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke

Notes and exercise attempts for "An Introduction to Statistical Learning"

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Walkthrough exercises from PandasTutorial by Wes McKinney.

The official online compendium for Mining the Social Web, 2nd Edition (O'Reilly, 2013)

The Open Source Data Science Masters

Python Wrapper for reading, manipulating and writing csv, ods, xls, xlsx and xlsm files

Text and supporting code for Think Stats, 2nd Edition

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

BDD that talks to domain experts first and code second

A curated list of awesome Machine Learning frameworks, libraries and software.

Student Sourced Solution Manual for "An Introduction to Statistical Learning: with Applications in R"

A curated list of awesome Python frameworks, libraries and software.