Python is a powerful programming language. And there is so much we can do with it to make the code lighter and faster. It not only supports features like multiprocessing but does it with ease. Below, we’ve listed some of the best Python code optimization tips and tricks. Read on!

Python critics sometimes claim that it’s slow. But that’s not because of the Python but due to the practices used to write the code. Here, in this post, you’ll find tips to speed up your Python applications.

Since Python is a feature rich language, so there’s always scope for improvement. If you wish to make your Python code run even faster and more efficient, then continue reading.

The beauty of these tips and Python is all optimization techniques actually, lies within the realm of Python. You just need to know them and implement in a disciplined approach while coding. Recently, we’d written an article on thirty  essential Python programming tips and tricks. You can check it out as well to find what you don’t know already.

Given here is the Table of Index so that it’s easy for you to navigate throughout this post.

1.  Interning Strings for Efficiency.

2.  Peephole Optimization.

3.  Profile your Code.

3.1.  Use Stopwatch Profiling with .

3.2.  Use Advanced Profiling with .

4.  Use Generators and Keys for Sorting.

5.  Optimizing Loops.

5.1.  Illustrations for Optimizing a for Loop in Python.

5.2.  Let’s Decode What have We Optimized?

6.  Use Set Operations.

7.  Avoid Using Globals.

8.  Use External Libraries/Packages.

9.  Use Built-in Operators.

10.  Limit Method Lookup in a Loop.

11.  Optimizing with Strings.

12.  Optimizing with If Statement.

Let’s first begin with some of the core internals of Python that you can exploit to your advantage.

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