How to measure execution time in python ⌚

measuring execution time in python can be crucial for performance analysis and optimization. there are several ways to measure the execution time of a piece of code, but the most common methods involve using the built-in `time` module or the `timeit` module. below, i will provide an informative tutorial on both methods with code examples.

### method 1: using the `time` module

the `time` module provides a simple way to measure execution time by recording the start and end times around the code block you want to measure.

#### steps:
1. import the `time` module.
2. record the time before starting the code block.
3. record the time after the code block.
4. calculate the difference.

#### example:

### method 2: using the `timeit` module

the `timeit` module is a more precise way to measure execution time, especially for small code snippets. it automatically handles the timing and can run the code multiple times to get a more accurate measurement.

#### steps:
1. import the `timeit` module.
2. define a function or provide a code snippet to be measured.

#### example:

### method 3: using a context manager

you can create a custom context manager to measure execution time, which can make the code cleaner and more reusable.

#### example:

### conclusion

measuring execution time in python can be done easily using either the `time` module for simple timing or the `timeit` module for more precise measurements. additionally, creating a custom context manager allows for cleaner and more reusable code. depending on your needs, you can choose the method that best suits your situation.

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