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. 

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.

Speeding Up Python Code

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.

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Since Python is a high-level, interpreted, and dynamically typed language, Python programs generally take a longer amount of time to complete when compared to other programming languages. Generally speaking, Python is around 3x - 5x slower than a lower level, compiled language. 

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