How to make loop run faster in Python

We will see how to speed up loop faster in Python code:

• Every developer knows that the most of the execution time of the code is consumed in for loops. So it becomes really important to optimize the execution of for loops wherever possible.
• There are certain ways based on the scenarios where we can speed up the execution of for loops in Python:
  One scenario you will face a lot is running some heavy computations or checking condition inside the for loop and performing certain task on it. For example, calling some API inside the loop and computing its value.
• Here we can memoize the function call so that we do not have to perform the computation when there are duplicate values inside a list.

Example:

final_list = []
for item in temp_list:
   if foo(item): #this function is calling API or doing some heavy computation task
    final_list.append(item)

Firstly, we can use list comprehension(which is faster than writing .append()

[item for item in temp_list foo(item)]

And finally memoize the function call.

If you do not know what memoization is : Read about memoization.

memoization_dict = {}
def memoize(item):
  if val not in memoization_dict:
      memoization_dict[item] = foo(item)
  return memoization_dict[item]

final_list = [memoize(item) for item in temp_list if memoize(item)]