What are common performance bottlenecks in Python?
An example of an AI chatbot conversation about performance bottlenecks in Python.
What are common performance bottlenecks in Python?
Common bottlenecks include inefficient algorithms, excessive memory usage, and slow I/O operations.
How can I identify these bottlenecks in my code?
You can use profiling tools like cProfile or line_profiler to analyze your code's performance.
What are some optimization techniques I can use?
Consider using built-in functions, optimizing data structures, and leveraging libraries like NumPy for heavy computations.
Are there any specific libraries that can help with performance?
Yes, libraries like NumPy, Cython, and Numba can significantly improve performance for numerical computations.
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