Python at Massive Scale - Stephen Simmons, Neil Slinger
PyData
Why leaders watch it
Case of scaling a very large shared codebase and platform across thousands of developers; mostly technical.
A PyData London 2018 talk on how JPMorgan scaled its Athena Python platform over ten years to about 35 million lines of code and thousands of developers. It covers infrastructure, tooling and culture for analytics and visualization at that scale.
Topics: Org design & scaling, Engineering & technical leadership
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