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 measures the execution time of a small code snippet by running it repeatedly (1,000,000 times by default, or a custom count) and reporting the elapsed time. It can be used from the command line (`python -m timeit`), from the interactive Python interpreter, or by importing `timeit` inside a `.py` script.

California State University, San Bernardino

Google

Measuring the execution performance of Python code helps identify computational bottlenecks and guides the development of faster, optimized programs. A primary method for accurately benchmarking Python execution time is using the language's built-in timeit module.

Evaluating Python Code Performance

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

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