What are some best practices for optimizing Python code?
Some best practices include using built-in functions, avoiding global variables, and utilizing list comprehensions.
Can you explain why using built-in functions is beneficial?
Built-in functions are implemented in C, making them faster than equivalent Python code. They also improve readability.
What about using libraries like NumPy for optimization?
NumPy is great for numerical computations as it uses optimized C libraries, allowing for faster array operations.
How can I profile my Python code to find bottlenecks?
You can use the cProfile
module to profile your code and identify performance bottlenecks effectively.
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