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A curated list of awesome network analysis resources.
Sample files to accompany the FT's Chart Doctor column
For test Basics
For courses
The Leek group guide to data sharing
Python Data. Leaflet.js Maps.
The ggplot2 book
Репозиторий майнора "Интеллектуальный анализ данных" ФКН НИУ ВШЭ (2016 г.)
OpenDataScience Machine Learning course (yet Russian-only)
OSMnx: Python for street networks. Retrieve, construct, analyze, and visualize street networks from OpenStreetMap.
Programming Assignment 2 (cachematrix.R)
Repository for Programming Assignment 2 for R Programming on Coursera
A simple Python Geojson file reader and writer
Jupyter notebooks in Russian. Introduction to Python, basic algorithms and data structures
Data Carpentry R lessons on ecology
testing
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.