Repository files navigation

Here are some amazingly useful tips to decrease execution time in python programs

As a beginner I admit that most of the tips given below are some of my deeds too, so this repo we will learn how to decrease the execution time.

The method I used here to calculate the time is previously explained in one of my repos which you can find by
clicking here

• The execution-time for every code given below is based on multiple runs and optimal one of all.
• Check out the other files in this repo for hands-on trial.
• Time may vary device to device.

When we try to use certain module and we know it's sole purpose is only to serve a single function.Then try importing only that single function instead of the whole thing.

syntax

from module_name import function_name1, function_name2,etc,...

Example:

from math import ceil, floori = 9.67print(ceil(i))print(floor(i))output:  10  9

Execution time: 0.008982419967651367

import mathi = 9.67print(math.ceil(i))print(math.floor(i))

Execution time: 0.01605224609375see the difference, amazing right

In one of my previous repos about differentswapping techniques I stated to use

a = 10b = 20a, b = b, aprint(a,b)

Execution time is : 0.014656782150268555

Instead of the below code

x = 10y = 20temp = xx = yy = tempprint(x,y)Output: 20 10

Execution time is : 0.014772176742553711Might be closer but worthwhile when running in a loop.

This is the most common mistake made by most of us, that is using while-loop even tho the job could be done with a for-loop.

for i in range(10):print(i)if i == 9:    print('over')    output:0123456789over

Execution time is : 0.05827617645263672

i=0while True:    print(i)    i += 1    if i == 10:        print('over')        break        output:0123456789over

Execution time is : 0.07421302795410156

The old saying goesLittle efforts can make a huge impact.

As a programmer I sayEvery bit counts ;)