Pandas aims to provide: a) a set of fast NumPy-based data structures optimized for panel, time series, and cross-sectional data analysis; b) a set of tools for loading such data from various sources (database, flat file / text) and providing efficient ways to persist the data; and c) a A robust statistics and econometrics library … Read more
Data stored on Google Storage for Developers can be analysed using Google Prediction API. The engine uses machine-learning algorithms and can be trained to spot patterns in data to predict future outcomes.
Google does to open source web fonts what it did for popular JavaScript libraries: make them available on their servers through an API. There are just over a dozen fonts currently available.
A nice high-level overview of various ways to deploy Python webapps, how they fail and how they can be improved.