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2014

Official content for the Fall 2014 Harvard CS109 Data Science course

2014_data

Data directory for the CS109 Data Science course

2017-slides

Slides and talk assets from PyCon 2017

anaconda-mode

Code navigation, documentation lookup and completion for Python.

anatomyofmatplotlib

Anatomy of Matplotlib Tutorial originally developed for SciPy 2013

anomalous

Anomalous time series package for R

anomalydetection

Anomaly Detection with R

bokeh

Interactive Web Plotting for Python

chaos

Singular Spectrum Analysis methods implementation in Python

colaboratory

Jupyter CoLaboratory

compstats

Code for a workshop on statistical interference using computational methods in Python.

content

Official content for Harvard CS109

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

dask

Task scheduling and blocked algorithms for parallel processing

dasklearn

Dask powered gridsearch and pipeline a la scikit-learn

data-science-at-the-command-line

Data Science at the Command Line

data-science-is-software

datasciencespecialization.github.io

http://DataScienceSpecialization.github.io

datashader

Bin based rendering toolchain

deeplearningpython35

neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support

ds_workflows_jupyter3_20180427

emacs-c-ide-demo

Emacs setup for C/C++ with Helm describe here: http://tuhdo.github.io/c-ide.html

emacswiki.org

The official Emacswiki repository

exdata_peerassessment2

Peer Assessment 2 for Exploratory Data Analysis

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

glrm

hands-on-artificial-intelligence-with-keras-and-python

introtostatisticallearningr-

Work on Introduction to Statistical Learning

ipython-in-depth

IPython in-depth Tutorial, first presented at PyCon 2012

ipython-plotly

A collection of data science IPython notebooks with Plotly graphs