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Discover techniques for writing faster Python code in this informative conference talk from EuroPython 2016. Learn practical optimization strategies that can be applied to everyday coding tasks. Explore efficient methods for profiling code performance and improving code structures. Gain insights into the fastest ways to remove list duplicates, alternatives to traditional for loops, and when to use different data structures for optimal lookup speed. Understand the performance implications of Python idioms like "ask forgiveness, not permission." Focus on pragmatic optimization approaches rather than micro-optimizations or low-level rewrites. Apply these lessons to write more efficient Python code in your daily work.
