What is the performance impact of using different data types in Python?

What is the performance impact of using different data types in Python?

The performance impact can vary significantly depending on the data type used. For example, using lists can be slower than using tuples due to their mutability.

Can you give me an example of when to use a tuple instead of a list?

Sure! Use a tuple when you need a fixed collection of items, like coordinates (x, y), where the values shouldn't change.

What about dictionaries? Are they slower than lists?

Dictionaries can be slower for iteration compared to lists, but they offer faster lookups for key-value pairs, which can be beneficial.

How can I measure the performance of different types?

You can use the timeit module in Python to measure the execution time of different operations on various data types.