What are some common mistakes in Python optimization?
An example of an AI chatbot conversation about common mistakes in Python optimization.
What are some common mistakes in Python optimization?
Some common mistakes include premature optimization, not using built-in functions, and ignoring algorithm complexity.
Can you explain why premature optimization is a mistake?
Premature optimization can lead to complex code and wasted effort on optimizing parts of the code that aren't bottlenecks.
What built-in functions should I use for better performance?
Using functions like map(), filter(), and list comprehensions can significantly improve performance over manual loops.
How can I analyze the performance of my Python code?
You can use profiling tools like cProfile or timeit to analyze where your code spends the most time.
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