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Course materials and handouts for #100DaysOfCode in Python course
Public Repository for cs109a, 2017 edition
A4Dummies
My solutions to Advent of Code 2017 in Python 3
AI Conf New York 2019 PyTorch Tutorial
Minimal examples of data structures and algorithms in Python
:computer: Data Structures and Algorithms in Python
Anatomy of Matplotlib -- tutorial developed for the SciPy conference
Source Code for 'asyncio Recipes' by Mohamed Mustapha Tahrioui
Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.
Data Analysis on the dataset 'Baby Names from Social Security Card Applications - National Data'.
Bayesian Analysis with Python (Second Edition)
A collection of Bayesian data analysis recipes using PyMC3
Bayesian Analysis with Python - Second Edition, published by Packt
Notebooks related to Bayesian methods for machine learning
A python tutorial on bayesian modeling techniques (PyMC3)
How to do Bayesian statistical modelling using numpy and PyMC3
Code for a tutorial on Bayesian Statistics by Allen Downey.
Bayesian Data Analysis demos for Python
Source code for 'Beginning Python' by Magnus Lie Hetland
:books: books
Bootcamp held for Spring 17.
Source Code for the Book Classic Computer Science Problems in Python
Source Code for 'Clean Python' by Sunil Kapil
Chapter programs/snippets and Solutions to Challenges
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.