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Official content for the Fall 2014 Harvard CS109 Data Science course
Data directory for the CS109 Data Science course
Slides and talk assets from PyCon 2017
Code navigation, documentation lookup and completion for Python.
Anatomy of Matplotlib Tutorial originally developed for SciPy 2013
Anomalous time series package for R
Anomaly Detection with R
Interactive Web Plotting for Python
Singular Spectrum Analysis methods implementation in Python
Jupyter CoLaboratory
Code for a workshop on statistical interference using computational methods in Python.
Official content for Harvard CS109
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Task scheduling and blocked algorithms for parallel processing
Dask powered gridsearch and pipeline a la scikit-learn
Data Science at the Command Line
http://DataScienceSpecialization.github.io
Bin based rendering toolchain
neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support
Emacs setup for C/C++ with Helm describe here: http://tuhdo.github.io/c-ide.html
The official Emacswiki repository
Peer Assessment 2 for Exploratory Data Analysis
Plotting Assignment 1 for Exploratory Data Analysis
Work on Introduction to Statistical Learning
IPython in-depth Tutorial, first presented at PyCon 2012
A collection of data science IPython notebooks with Plotly graphs
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.