Gwillink/data_hacking
Click Security Data Hacking Project
Discovered public repositories for Gwillink in the GitHub catalog.
Click Security Data Hacking Project
Public repository.
PyData SV 2013 Tutorial on Advanced Matplotlib
A PyData 2013 talk on straightforward, data-driven ways to handle natural language text in Python.
Interactive notebooks you can use to learn how to analyze lots of data
Chapter-wise code for Agile Data the O'Reilly book
Execute SQL against structured text like CSV or TSV
Repository for data science course Spring 14
A self contained environment to do data science with {Python | Shell | R | Hadoop}. This is a Vagrant box built on Ubuntu 12.04 LTS
Simple scripts to setup a fresh data science box using an Ubuntu 12.04.* LTS 64-bit server running on an EC2
Run IPython, Pattern, NLTK, Pandas, NumPy, SciPy, Numba, Biopython inside Docker
Recipes for using Python's pandas library
Curated bits and bytes of Julia (language) learning resources, libraries, cookbooks and blog links, howto's, etc...
Official Python low-level client for Elasticsearch.
Repository for MapReduce Design Patterns (O'Reilly 2012) example source code
MapReduce course at the University of Maryland for Spring 2013
Data-Intensive Text Processing with MapReduce
Repository containing notebooks for my Pandas tutorial at SciPy India 2013
IJulia Notebooks that provide a brief introduction to Julia for statistical programming
Quickly download and scrape websites on a massive scale.
IPython notebooks and slides for talks I've given
Regular expression magic for the IPython Notebook
sympy ipython notebooks
IPython notebooks for the workshops provided by Montreal Python.
This repository contains IPython notebooks and other resources from my talk IPython is Great (for large-scale computation, data exploration, and creating reproducible research artifacts). The slides and IPython notebooks from my talk were featured in the 2013 Data Science course at Harvard.
Notes, problems, simulations developed while following the MIT Open Courseware class "Probability Systems Analysis
Python coded examples and documentation of machine learning algorithms.
The official online compendium for Mining the Social Web (O'Reilly, 2011)
IPython Notebook (and converted .py) examples based on those presented in Jacob Perkin's NLTK 2.0 Cookbook text
My coursework for Stanford's Statistical Aspects of Data Mining Course (Stats 202) in iPython Notebooks instead of R
Files for the intro to D3 workshop
Sample code files to accompany the book “Interactive Data Visualization for the Web”
iPython Notebook mashed up with d3.js for data analysis
Code repository for Think Bayes.
Code examples and exercise solutions from Think Python by Allen Downey, published by O'Reilly Media.
collection of python webscraping tools
These are the IPython notebook files for the CSC 432 Spring '13 course.
Public repository.
Meta-repository of big data tools -- source and essential plugins for hadoop, pig, wukong, storm, kafka etc.
A Seriously Fun guide to Big Data Analytics in Practice
An API for Distributed Machine Learning
Dockerfiles and scripts for Spark and Shark Docker images
Classical equations and diagrams in machine learning
Experimenting with d3 renderings for matplotlib plots
Data Science and Machine Learning Examples for Data Science Linux
This is meant to be a Data Science resource for capturing the latest technology, expertise, and evolving techniques in Data Science.
Takes CSV or tab-delimited data from Excel and converts it into several web-friendly formats, include JSON and XML.
TimelineJS: A Storytelling Timeline built in JavaScript.
Adaptations and Extensions of Twitter-Related Examples from Mining the Social Web
An introduction to data analysis, using R. Experimental.