What are common performance issues in Python extensions?
An example of an AI chatbot conversation about performance issues in Python extensions.
What are common performance issues in Python extensions?
Common performance issues in Python extensions include memory leaks, inefficient algorithms, and improper use of data structures.
How can I identify memory leaks in my Python extension?
You can use tools like Valgrind or memory_profiler to track memory usage and identify leaks in your extension.
What are some best practices to optimize performance?
Best practices include using built-in functions, minimizing global variable usage, and profiling your code to find bottlenecks.
Can you recommend any libraries for performance profiling?
Yes, libraries like cProfile, line_profiler, and Py-Spy are great for profiling Python code and identifying performance issues.
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