The Top 5 Python Frameworks Python developers need Know in 2022

Written by: DESTINY IDIKA

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Published 2 Years Ago On Monday, June 13, 2022
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Python was the most used programming language in the whole world in 2021. So it’s no surprise that developers want to improve their skills and complete Python projects successfully. As a hard-working programmer, you want to do your job like a pro. It means completing projects fast and avoiding common mistakes. If you desire to reach such a goal and enhance your performance then you need to take into account top Python web frameworks.




A Framework is a collection of packages to use during the app developing process. Every framework contains several Python web library options. Wise programmers understand the importance of such tools and try to extend their skills by learning more frameworks. Such an approach helps them to make workflow simpler and more efficient.

So by developing your skills and knowledge in this field, you level up your perspectives with this programming language.


Top Python Frameworks that are Essential for Developers.

  1. Django Django is a full-stack frameworks and is known as a highly demanded tool among Python developers. It is based on the idea of not repeating the same things, so-called a “DRY” position (Don’t repeat yourself). Using Django, a programmer has access to Oracle, SQLite, MySQL, and other libraries. Thanks to this, you can change databases during your work. The huge popularity of this framework is caused by its particularities. For instance, the key benefit is a strong focus on security. Django is known as the most reliable and secure solution among many Python frameworks. In addition, it follows an architecture called MVC-MVT, which has authentication support, URL routing, and other important features.
  2. Flask: Flask is a very lightweight and adaptive framework. It belongs to the category of micro frameworks. It isn’t as functional and featured as Django. But programmers often use it because in this case, they are capable of developing decent software basics without facing common issues. After this, you can use extensions and improve your app. Flask is a very demanding Python API framework because of its significant features. It is Unicode-based and has an opportunity to plug in any object-relational mapping. Developers highly anticipate the in-built server and debugger, unit testing, cookies support, and so on.
  3. Bottle: This is another Python framework that belongs to the micro category. It is a perfect choice for prototyping because Bottle has got more than 90 updates in the past years. Programmers can find support and discuss issues at the Bottle community and specific forums. The very important particularity of Bottle you must mention is its limits. You can use it to develop a Python based web application with a shortcode. It means your code can contain up to 500 lines and no more. Also, this is a great tool for software that isn’t required to have many features.
  4. Tornado: This is one of the most popular asynchronous frameworks. Its specialization is to help developers focus on speed and huge traffic. It makes this Python framework highly anticipated for developing applications for big audiences. Experts say that software developed with Tornado can handle approximately 10 thousand connections. Among the most important features of Tornado are real-time servers, an ability to process huge amounts of concurrent connections, non-blocking HTTP client, featured options, etc. Nowadays this framework is as popular as Django and Flask. It is more complicated but allows you to achieve better app performance.
  5. CherryPy: CherryPy is quite an old, open-source, minimalistic framework. No one can call it the fastest Python web framework but it is still popular among programmers. What is more important – it can work with different extensions and includes opportunities for using them. By having its own server, CherryPy becomes more featured in the end. For instance, it’s great that you can create an application compatible with any operating system. CherryPy software supports Linux, Windows, macOS, etc. At the same time, experts say that this tool may be improved and be easier to use.


In Conclusion

Actually, the number of decent and useful Python frameworks is much bigger. There are many other options to try to improve your work and final results. The listed above examples are very popular and well-known among many developers. At the time of writing this article, Experts say that beginners in Python should pay extra attention to Django and Flask. Both tools are simple and bring programmers useful benefits.

Step by step, you can master more tools in programming and level up your professionalism. While you are growing as an expert in programming, you will learn more frameworks to create better Python web apps. Anyway, there are many other tools beyond this list you need to know. Just begin to improve your skills and keep evolving your profession in the future!




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