Python time module
Time in Python is easy to implement and it can be used anywhere in a program to measure the execution time. By using timers we can get the exact time and we can improve the program where it takes too long. The time module provides the methods in order to profile a program.
Example 1:
In this example, we are trying to calculate the time taken by the program to print a statement.
Python3
# importing time moduleimport timestart = time.time()print("Time Consumed")print("% s seconds" % (time.time() - start)) |
Output:
Time Consumed 0.01517796516418457 seconds
Example 2:
In this example, we are trying to calculate the time taken by the program to call a function and print the statement.
Python3
# importing time moduleimport timedef gfg(): start = time.time() print("Time consumed") end = time.time() print("gfg() function takes", end-start, "seconds")# Calling gfggfg() |
Output:
Time consumed gfg() function takes 0.015180110931396484 seconds
Profiling in Python
Python provides many excellent modules to measure the statistics of a program. This makes us know where the program is spending too much time and what to do in order to optimize it. It is better to optimize the code in order to increase the efficiency of a program. So, perform some standard tests to ensure optimization and we can improve the program in order to increase efficiency. In this article, we will cover How do we profile a Python script to know where the program is spending too much time and what to do in order to optimize it.
Contact Us