How can I optimize conditional logic in Python?

How can I optimize conditional logic in Python?

You can optimize conditional logic by using dictionaries for lookups, reducing nested conditions, and using short-circuit evaluation.

Can you give me an example of using a dictionary for conditional logic?

Sure! Instead of using multiple if-elif statements, you can use a dictionary to map keys to functions or values. For example:

options = {'a': function_a, 'b': function_b}
result = options.get(user_input, default_function)()

What about using short-circuit evaluation?

Short-circuit evaluation allows you to combine conditions. For example:

if condition1 and condition2:
    do_something()

Here, condition2 is only evaluated if condition1 is true.

Are there any tools or libraries that can help with this?

Yes, libraries like pandas can help optimize conditional logic with vectorized operations, which are faster than loops.