The code snippet passed into the timeit module are usually passed in as either a string or as a function. 

Command-line:
```
python -m timeit 'print("Hello World")'
```

Python Interface:
```python
>>> import timeit
>>> timeit.timeit('print("Hello World")')
```

Inside of a .py file:
```python
import timeit
print(timeit.timeit('print("Hello World")'))
```

or 
```python
import timeit 

def f():
    print("Hello World")

print(timeit.timeit(stmt=f))
```

Code Example for Timeit Module

Python's built-in timeit module allows you to measure the amount of time a code snippet takes to run 1,000,000 times (or any number of times you specify). The module can be used from the command line, the python interpreter, or inside of a .py file. 

California State University, San Bernardino

It's important to measure the performance impact of your Python code and doing so will help you write faster, high performance code in the future. One way you can accurately evaluate the performance of Python code is with Python's built-in timeit module.

Evaluating the Performance of Python Code

Timeit Module

Python code can usually be optimized in few ways:

* Re-factoring code with optimizations that are specific to python.
* Using a Just-In-Time compiler (JIT) such as Numba or Pypy.
* Using an optimizing compiler such as Cython.

Learn Before

Related

Learn After