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This workshop was given as an introduction to using python for scientific and other data intensive purposes. The examples are related to bench top laboratory data analysis. The speaker is Shane Neeley, a bioengineering masters student at Rice University and it was hosted by Brightwork CoResearch, an independent research and entrepreneurship facility in Houston, Texas.
Demonstration of using Python to process the Common Crawl dataset with the mrjob framework
Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)
Data and code behind the stories and interactives at FiveThirtyEight
Code snippets for data acquisition and organization in data science.
code for Data Science From Scratch book
Data Science in 30 Minutes
The Full Stack Nanodegree course 4 project
A Python script to download all your mail from Gmail to your local hard drive.
Hands-On Reinforcement Learning with Python, published by Packt
Example implementation of a discrete 1st order Hidden Markov model with test
The official online compendium for Mining the Social Web, 2nd Edition (O'Reilly, 2013)
Multilingual text (NLP) processing toolkit
Beginner's Guide to Machine Learning Competitions, PyTexas 2015
Code that goes along with my screencasts.
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
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.