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2015

PyCon 2015 - Wiki & Tasks

adopt-a-hydrant

A web application that allows citizens to "adopt" civic infrastructure, such as fire hydrants that need to be shoveled out after it snows.

chiasm

A browser based environment for interactive data visualizations.

city-analytics-dashboard

Display google analytics from a city's website as a dashboard

cloudapp-mp1

Machine Programming Assignment for Cloud Application Course

courseradatasimulation

cs100.1xintrobigdatawithspark

Introduction to Big Data with Apache Spark on edx

emerson

Markup for Treehouse PHP course

findataweb

Automatically exported from code.google.com/p/findataweb

front-end-developer-interview-questions

A list of helpful front-end related questions you can use to interview potential candidates, test yourself or completely ignore.

go

The Open Source Data Science Masters

graphlab_practice

hands-on-analysis-python

PyCon 2015

hello-world

a program to test github

how-to

How-Tos for GraphLab Create

html5boilerplate.com

Files for the HTML5 Boilerplate website.

irkernel

R kernel for Jupyter

learning-spark

Example code from Learning Spark book

lime

Lime: Explaining the predictions of any machine learning classifier

machine-learning-specialization

ml-classification-class

coursera University of Washington Machine Learning Classification Class

mpld3

D3 Renderings of Matplotlib Graphics

openflow

Mirror of Stanford OpenFlow 1.0 reference switch/controller from git://openflowswitch.org/openflow.git

predicting-useful-restaurant-reviews-by-subtopics-using-yelp-data

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

projects

:page_with_curl: A list of practical projects that anyone can solve in any programming language.

pydlon15

Open Source Tools for Financial Time Series Analysis and Visualization

pyldavis

Python library for interactive topic model visualization. Port of the R LDAvis package.

pyspark-setup-guide

A guide for setting up Spark + PySpark under Ubuntu linux

pytexas2015-ml

Beginner's Guide to Machine Learning Competitions, PyTexas 2015