How Can I Accurately Measure the Total Execution Time of My Python Program?

How to Monitor the Execution Time of a Python Program

Measuring the execution time of a Python program is crucial for optimizing performance and identifying bottlenecks. While the timeit module is useful for benchmarking short code snippets, it falls short when it comes to timing an entire program. Here's a simple and effective solution for this task:

Step 1: Import the Time Module

import time

Step 2: Start the Clock

As the program starts, capture the current timestamp using the time.time() function:

start_time = time.time()

Step 3: Run Your Program

Execute the main logic of your program here.

Step 4: End the Clock

Once your program completes, record the end time:

end_time = time.time()

Step 5: Calculate Execution Time

Subtract the start time from the end time to obtain the execution time:

execution_time = end_time - start_time

Step 6 (Optional): Print Execution Time

For convenience, you can print the execution time to the console:

print("--- %s seconds ---" % execution_time)

Example Output:

Assuming your program takes about 0.76 seconds to run, the output will be:

--- 0.764891862869 seconds ---

This approach provides an accurate measurement of your program's runtime, helping you evaluate its efficiency and make informed optimizations.

The above is the detailed content of How Can I Accurately Measure the Total Execution Time of My Python Program?. For more information, please follow other related articles on the PHP Chinese website!