What are some common performance mistakes in Python?
An example of an AI chatbot conversation about common Python performance mistakes.
What are some common performance mistakes in Python?
Some common performance mistakes in Python include using global variables, not using built-in functions, and inefficient data structures.
Can you explain why using global variables is a mistake?
Using global variables can lead to code that is hard to debug and maintain, as it increases dependencies between functions.
What about using list comprehensions? Are they always better?
List comprehensions are generally more efficient than traditional loops, but they can be less readable if too complex.
How can I profile my Python code to find performance issues?
You can use modules like cProfile or timeit to profile your code and identify bottlenecks.
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