Python scores the first position for being the most popular among the programming languages. The common reasons include Python being advanced and interpreted, and having easy-to-use syntax & robust libraries, etc.
Therefore, its development and Python Web hosting demand have increased in 2022. If you are a python developer and thinking about leveling up your expertise in Python or simply wish to explore new tools to boost your skills, read through the post. This post jots down the top Python frameworks for 2022.
You can know about them and understand their A to Z working. So let’s dig in to find them out alongside some necessary information.
Frameworks
Frameworks are a set of tools, modules, or packages to work as a ready-made structure on which developers can build a new product. The development includes a wide range of recurrent tasks. Frameworks help automate many tasks like letting you reuse the code for common HTTP operations. Moreover, each framework has its uses and advantages.
Simply put, frameworks are here to make the life of developers easy. Developers don’t have to go back to square one and start building their web and app projects, such as lower-level functionality. For example, they can manage the protocols, sockets, process/thread management, and much more. In return, the developers can focus more on the logic and complexities instead of introductory tasks. So, without further ado, let’s move on to the Python frameworks.
Django
Django is a worldwide popular framework when it comes to Python. It is an open-source and full-stack Python framework. Moreover, Django works on the DRY – Don’t Repeat Yourself and ‘Explicit over Implicit’ functionality. Additionally, following MVC architecture made it called as MVC framework.
It supports web server and web browser compatibility, localization and user authentication, sessions, and cookies. In addition, Django has a broad range of inbuilt libraries. Also, it supports databases like MySQL, SQLite, PostgreSQL, and Oracle alongside many other databases & templating systems via third-party drivers and CMSs.
The intriguing part is Django uses ORM and maps objects to multi-database tables, where ORM stands for Object Relational Mapper. So, it becomes easier to work with multiple databases and even migrate the code to another database.
You can confidently use it to build large-scale web applications and websites.
Bottle
The second comes to the Bottle in our list of top Python frameworks you need to learn in 2022.
The Bottle is a micro-framework of Python. It creates and develops all applications in a single source file. Also, it doesn’t rely on any dependencies except the python standard code library. Fortunately, the said library contains an inbuilt template engine, exceptions, and functions, eliminating the need for the import statement.
Its flexibility and basic functionalities are ideal for developing simple web apps and websites with third-party HTTP/WSGI servers. Therefore, developers regard Bottle as the best framework for small-scale web applications like personal applications. Similarly, owing to its small profile, it becomes easier to embed Bottle into a larger app with no hassles of system-related requirements.
In addition, it serves best for learning prototyping and organization of web frameworks. Also, it allows them to work closer to the hardware.
Dash
Likewise, the Bottle Dash is also a micro-framework and is an open-source framework. Its specialty is to build analytical web applications. It has two parts; a layout to handle the app’s appearance, and the second is functionality to tackle the product’s interactivity with the users.
In addition, the exclusiveness of Dash is that it is based on Flask, ReactJs, and Plotly.js. That is why scientists with less know-how of the tech stack of Python (mechanics of web development) opt to favor it for their work.
Also, the Dash-built applications are web servers that execute Flask, communicate with JSON packets via HTTP requests, and use ReactJS to render components by front-end. That being said, such apps render in web browsers deployment to servers and make them perfectly cross-platform and mobile-ready.
Furthermore, it offers plenty of database customization options. Therefore, building Python dashboards becomes smooth. Its trouble-free interface viably helps represent the UI controls in dropdowns, graphs, and sliders.
Falcon
The last in the list of top Python frameworks is Falcon. Falcon again is a micro-framework and is mostly used for building web APIs like configuration files. It does not demand many dependencies to develop HTTP APIs. In fact, developers can build a cleaner/ simpler design enabling HTTP and REST architectures.
Also, it can efficiently handle HTTP errors and threats or vulnerabilities. Falcon can readily handle more requests still using the same hardware compared to its contemporaries. Popular companies such as LinkedIn, OpenStack, RackSpace, and more also use Falcon.
Depending on the features and functionalities of your project (going to be developed) or skills you wish to learn, you can select the framework.
Giant companies like Netflix, Instagram, and Dropbox, are using Python to streamline the working of their high-traffic and request handling websites. You can also leverage the Python frameworks and Python web hosting to carry on with the development and testing.
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