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

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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 README.md
Octocat-spinner-32 TODO.txt
README.md

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 https://github.com/invisibleroads/crosscompute-scripts.git
cd crosscompute-scripts
bash fabfile.sh

Run notebooks

cd ~/Documents
# Download and unpack the notebooks into a folder
git clone https://github.com/invisibleroads/crosscompute-tutorials.git
# Activate virtual environment and start IPython Notebook in the folder
cd crosscompute-tutorials
n

Ask questions

https://groups.google.com/d/forum/crosscompute-tutorials

Stay updated

http://news.crosscompute.com

http://twitter.com/crosscompute

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