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Name: Donny Shuler
Type: User
Name: Donny Shuler
Type: User
A curated list of awesome Machine Learning frameworks, libraries and software.
A curated list of awesome Python frameworks, libraries and software.
Examples for the Book of Vaadin
personal cheatsheets on various technologies
Cracking the Coding Interview 6th Ed. Solutions
BDD that talks to domain experts first and code second
Supporting code for a video series on best practices for exploratory data analysis.
Repo for Coursera "Data Scientist's Toolbox course
The Leek group guide to data sharing
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 MapReduce, AWS, Heroku, JavaScript web development, Android development, common data stores, and dev-based OS X defaults.
Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
Java/Android Client for using Fatsecret REST API
The Open Source Data Science Masters
Code for Head First Java
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
IntelliJ IDEA Community Edition
Student Sourced Solution Manual for "An Introduction to Statistical Learning: with Applications in R"
Java source code to support the book "Java For Testers"
Mirror of Apache Kafka
The official online compendium for Mining the Social Web, 2nd Edition (O'Reilly, 2013)
Example code for the Wiley book "Machine Learning - Hands On for Developers and Technical Professionals"
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.
Practice assignment for the R programming class on Coursera
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 ;)
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Python Wrapper for reading, manipulating and writing csv, ods, xls, xlsx and xlsm files
Python best practices guidebook, written for Humans.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.