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Dive into a comprehensive exploration of Python performance optimization using Cython in this 33-minute PyCon US talk. Discover how to accurately measure Python's speed and evaluate Cython's potential for acceleration. Write data analysis code in Cython, examine the generated code to understand Python's underlying processes, and conduct microbenchmarks to assess execution times. Learn how to leverage Cython hints to produce faster code and gauge performance improvements. Ideal for Python developers working on performance-critical applications with some familiarity in Cython and/or C/C++, this talk equips attendees with profiling and optimization techniques for common operations, enabling informed decisions between Python and Cython for specific use cases. Access accompanying slides for further reference and deeper understanding of the concepts presented.
