This is a great post using Python, Neo4j, and Bulbflow to build a recommendation system using a graph database. It looks like they crawled SnapGuide to get their data for this.
The code for bulbflow is on GH.
Here is another post on Graph Recommendation Systems using Gremlin.
—Jason
How to on RabbitMQ Clustering. Uses Python and Fabric.
—Jason
This is awesome. The author is translating the code “Machine Learning for Hackers” from R to Python and hosting it in GH.
He also has all this in ipython notebooks which are viewable online (example: http://nbviewer.ipython.org/urls/raw.github.com/carljv/Will_it_Python/master/MLFH/CH2/ch2.ipynb).
—Jason
Just a handful of useful links I came across:
- Machine learning and Data Mining - Association Analysis with Python
- Getting Started with Pandas - Predicting SAT Scores for New York City Schools
- Generating Labels for Supervised Text Classification using CAT and R
- Introduction into NumPy *Text Classification and Feature Hashing: Sparse Matrix-Vector Multiplication with Cython
—Jason
Nice listing of Hadoop MapReduce Frameworks broken out by language.
—Jason
Great enumeration of many non standard data structures for python.
—Jason
