The decade has seen numerous programming languages being developed and updated to make work easier in the programming domain and create the next Artificial Intelligence (AI) or Machine Learning (ML) system. The traditionally known systems were Java, C#, etc. But as time progressed, among all those programming languages, Python has arrived at the top of the list of favourites majorly due to its ease of use with which developers can handle complex coding challenges using Python. Python is a high level, robust programming language and is mainly focused on rapid application development. Because of the core functionalities present, Python has become one of the fastest-growing programming languages and an obvious choice for programmers developing applications using Python on machine learning, AI, big data, and IoT.

Python as a computer programming language can be used to build websites, create software, automate tasks, and conduct data analysis & prediction. Python is known as a general-purpose language, i.e. it can be used to create a variety of different programs and is not only limited to or specialized towards only a specific set of problems. The versatility provided and its beginner-user friendliness is also why it is the most used programming language today. It is loaded with support for multiple programming paradigms beyond object-oriented programming, such as procedural and functional programming.

Comparing Features: Python 3.9 V/s Python 3.10

In this article, we will compare the features of two of the most recent versions of the Python programming language, Python 3.9 and Python 3.10, with their respective examples and try to explore what is different and new. Enthusiasts and creators worldwide contribute to the updates of features and help the programming language be a better version of itself than before. The official Python version documentation has inspired all the code mentioned below.

Python 3.9

Support for the IANA Time Zone Database

Python 3.9 supports and has added a module named zoneinfo that lets you access and use the entire Internet Assigned Numbers Authority (IANA) time zone database. By default, zoneinfo will use the system’s time zone data if available.

Python 3.10

Although in development and fully released, the version can still be installed and tested for features.

Structural Pattern Matching

Version 3.10 introduces a new feature called Structural Pattern Matching. The matching technique allows us to perform the same match-case logic but based on whether the structure of our comparison object matches a given pattern. This feature completely changes the way one writes if-else cases.