Improve Python Run-time Without Changing A Single Line of Code

Python's default interpreter — CPython, isn't smart at dealing with for-loops, lists, and more.

It serves as a standard interpreter for Python and offers no built-in optimization.

Pypy, however, is an alternative implementation of CPython, which is much smarter.

How does it work?

It takes existing Python code and generates fast machine code using just-in-time compilation.

As a result, post compilation, the code runs at native machine code speed.

And Pypy can be used without modifying a single line of existing Python code.

👉 You should consider Pypy when:

• you're dealing with standard Python objects.

• speedups aren't possible with NumPy/Pandas.

So remember...

When you have some native Python code, don't run it with the default interpreter of Python.

Instead, look for alternative smarter implementations, such as Pypy.

Pypy will help you:

• improve run-time of code, and

• execute it at machine speed,

• without modifying the code.

Find some more benchmarking results between Python and Pypy below:

Get started with Pypy here: Pypy docs.

👉 Over to you: What are some other smarter implementations of Python interpreter?

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I like to explore, experiment and write about data science concepts and tools. You can read my articles on Medium. Also, you can connect with me on LinkedIn and Twitter.