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From UC Berkley’s School of Information, this complete video course will teach you to master big data analysis using examples from Twitter. Video playlist.

A Python library for rapid machine learning prototyping, Ramp acts as a wrapper around several ML and stats libraries like scikit-learn and rpy2. This article works through the ‘Detecting Insults in Social Commentary’ challenge from Kaggle as an example. 15 mins

graph-tool is a super-efficient python module for manipulation and analysis of networks. The core data structures and algorithms are implemented in C++, conferring high performance when using large data sets. 5 mins

Keeping Passwords in Source control

Here’s some slick advice that shows you how to store your passwords and other config info in your repo securely. Protect yourself from this: https://github.com/search?p=3&q=gmail_password&ref=searchresults&type=Code
10 mins

On Rails’ SQLi Vulnerability

Complete explanation of how exactly the Rails vulnerability works, including exploitable scenarios and mitigation tips. 15 mins.

NYC EVENTS

Data visualization with Web Standarts (Mon, Feb 11)

Andrew Trice of Adobe and Siarhei Mardovich of EPAM Systems will be discussing data visualization with web standards, and interactive and user-experience design with a HTML/CSS3/JS toolkit.

SF EVENTS

The Votamatic project insight  (Tue, Feb 12)

Drew Linzer, Assistant Professor of Political Science at Emory University, and Visiting Assistant Professor at Stanford University will do a tell-all about the dynamic Bayesian forecasting model he used at votamatic.org, website which presedential election forecasts were widely recognized as among the best of the campaign.

   
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