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

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.

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

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