Skip to content
This repository


Subversion checkout URL

You can clone with HTTPS or Subversion.

Download ZIP

Interactive notebooks you can use to learn how to analyze lots of data

branch: master

Fetching latest commit…


Cannot retrieve the latest commit at this time

Octocat-spinner-32 datasets
Octocat-spinner-32 images
Octocat-spinner-32 scripts
Octocat-spinner-32 slides
Octocat-spinner-32 .gitignore
Octocat-spinner-32 000 Set goals for cross-disciplinary analytics hands-on workshop.ipynb
Octocat-spinner-32 010 Count the number of links on a webpage.ipynb
Octocat-spinner-32 011 Explore interactively with IPython.ipynb
Octocat-spinner-32 050 Find the fastest path from Brooklyn Bridge to 96th and Broadway.ipynb
Octocat-spinner-32 051 Analyze network relationships with NetworkX.ipynb
Octocat-spinner-32 090 Explore the NYC MTA subway system.ipynb
Octocat-spinner-32 100 Animate a heatmap.ipynb
Octocat-spinner-32 111 Work with matrices in NumPy.ipynb
Octocat-spinner-32 121 Apply optimized algorithms from SciPy.ipynb
Octocat-spinner-32 131 Visualize numerical data with Matplotlib.ipynb
Octocat-spinner-32 200 Find regions with recent earthquakes.ipynb
Octocat-spinner-32 210 Explore NYC 311 service requests.ipynb
Octocat-spinner-32 211 Model time series with pandas.ipynb
Octocat-spinner-32 220 Analyze business data.ipynb
Octocat-spinner-32 250 Compare yearly prices of organic vs conventional spinach.ipynb
Octocat-spinner-32 251 Compute statistics with statsmodels.ipynb
Octocat-spinner-32 300 Count graffiti sightings within 100 feet of a subway entrance.ipynb
Octocat-spinner-32 321 Analyze spatial relationships with GeometryIO, Shapely, PySAL.ipynb
Octocat-spinner-32 400 Discover informative features when classifying handwritten digits.ipynb
Octocat-spinner-32 401 Harness machine learning with Scikit-Learn.ipynb
Octocat-spinner-32 421 Compare supervised learning techniques.ipynb
Octocat-spinner-32 430 Identify key user conversion metrics after split testing.ipynb
Octocat-spinner-32 431 Select informative features.ipynb
Octocat-spinner-32 450 Segment users to find market opportunities.ipynb
Octocat-spinner-32 451 Compare unsupervised learning techniques.ipynb
Octocat-spinner-32 460 Listen for unusual activity.ipynb
Octocat-spinner-32 481 Parallelize symbolic mathematics on multi-dimensional arrays with Theano.ipynb
Octocat-spinner-32 491 Prototype GPU computation techniques with PyCUDA.ipynb
Octocat-spinner-32 501 Discuss practical considerations in real-world applications.ipynb
Octocat-spinner-32 551 Explore cloud computing concepts with pika.ipynb
Octocat-spinner-32 600 Rank the influence of alcohol and chocolate on marriage age.ipynb
Octocat-spinner-32 620 Estimate Big Mac prices from World Bank contracts.ipynb
Octocat-spinner-32 700.ipynb
Octocat-spinner-32 999 Contribute to open source projects.ipynb
Octocat-spinner-32 TODO.txt

Cross-disciplinary computational analysis

Here is a growing collection of interactive IPython Notebook tutorials on large-scale data analysis.

Install packages

cd ~/Documents
git clone
cd crosscompute-scripts

Run notebooks

cd ~/Documents
# Download and unpack the notebooks into a folder
git clone
# Activate virtual environment and start IPython Notebook in the folder
cd crosscompute-tutorials

Ask questions

Stay updated

Something went wrong with that request. Please try again.