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This recent video from NewCircle Training discusses the use of Python for querying mass quantities of data. Despite the slow speed of Python, at least compared to languages like C++, AdRoll demonstrates how it can perform very efficiently even with large-scale datasets.
Ville Tuulos, Principle Engineer at AdRoll, a company producing tons of big data, demonstrates how AdRoll uses Python to squeeze every bit of performance out of a single high-end server. They manage it with Numba, a new NumPy aware dynamic Python compiler based on LLVM, and thanks to Python, the system can provide a very expressive and developer-friendly API. Find out more in this informative talk from the San Francisco Python Meetup Group.
- YouTube Page
You can also check out the slides by themselves if you don't have time for the whole video.
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