Python 3.11 vs Python 3.10: Why Developers Love the Latest Version More?

Python is one of the most popular programming languages. But the only problem with this programming language is speed, because it's no secret that Python is not the fastest programming language. But that will change in Python 3.11, but what makes Python 3.11 better than its version 3.10? We will find out in this article. The Python Software Foundation (PSF) maintains Python, develops the language, and is constantly working on new ways to improve it. On average, Python 3.11 is 14% faster than Python 3.10. The new version is slower in some benchmarks, but up to 64% faster in others.

Python Features 3.10

Better error messages

Python has always been praised as a user-friendly programming language. While this is true, there are some Python features that may be friendlier. Python 3.10 comes with much more accurate and useful error messages. One of the most influential improvements in Python 3.10 is better and more accurate bug fixes for many common issues.

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Pairing of structural patterns

Structural pattern comparison is one of the biggest features of Python 3.10, perhaps in terms of controversy and potential impact, is structural pattern comparison. This implementation is sometimes called the case of a switch, which is part of Python, but you can see that structural pattern comparison is much more powerful.

Here are three different examples that highlight why this feature is called structural pattern matching and show you how to use this new feature:

Detect and deconstruct various structures in your data

Use different types of patterns

Compare literal patterns

The structural pattern agreement is a comprehensive complement to Python. To try out how you can use this in your own projects, the following three sections delve into some details. You can also find some links to help you explore deeper than you want.

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Deconstruction of data structures

At its core, comparing structural patterns identifies patterns that your data structures can match. In this section, you will study a practical example of working with data in a different order, even if they have the same meaning. You define multiple patterns, and depending on which pattern matches your data, you will process your data correctly.

This section will shed some light on the explanation of possible patterns. Instead, it will try to give you an idea of ​​the possibilities. In the next section, we will go back and explain the patterns in more detail.

Python Features 3.11

CPython optimization

CPython is a reference implementation of the Python programming language. CPython, written in C and Python, is the standard and most widely used implementation of Python. In version 3.11, the CPython compiler is much more optimized and faster than in version 3.10. CPython 3.11 is on average 1.22x faster than CPython 3.10, measured by a set of performance benchmarks, and is integrated with GCC on Ubuntu Linux. Depending on your working pressure, acceleration can be up to 10-60% faster. In Python 3.11, developers usually focus on running faster and running faster, as outlined in the documentation.

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Python 3.11: Speed

Each new version has many improvements and is similar to Python 3.11. One of the features (speed) that every developer has been waiting for is finally here. Because the object type rarely changes, the compiler now tries to parse the running code and replace the general byte codes with specific ones. Binary operations (addition, subtraction, etc.) can be replaced, for example, in special versions for integers, floating numbers and strings.

Python function calls also require a bit of overhead in Python 3.11. Function call storage frames now use less memory and are designed more efficiently. Although recursive calls are not optimized for endpoints (which is probably not possible in Python), they are more efficient than earlier versions. The Python interpreter itself is also beginning to speed up, and the kernel modules needed for the Python runtime are stored and loaded more efficiently.

According to the official set of Python benchmarks, Python 3.11 runs about 1.25 times faster than version 3.10. Keep in mind that this acceleration is an overall measure: some objects are faster, but many others are somewhat faster or similar. The best thing about these upgrades, however, is that they are free. You do not need to make any code changes for Python programs to take advantage of 3.11 acceleration.