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Description
At AppNexus, we've experienced explosive growth over the last three years. This has meant the rapid scaling and iteration of our optimization tools used for big data exploration and aggregations. Unlike other more complicated programming languages, Python's versatility allows us to use it both for offline analytical tasks as well as production system development. Doing so allows us to bridge the gap between prototypes and production by relying on the same code libraries and frameworks for both, thereby tightening our innovation loop. We'd like to share our best practices and lessons learned when iterating and scaling with Python.
Join us for beers, pizza, and Python!
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