Get To Know Python Frameworks
At the moment, Python is rated as one of the leading and most popular programing languages. We covered Python in greater detail in our previous article, which you may have read, on why it is now considered the “next big thing” for professionals. A few brief reasons for its burgeoning popularity are that it is easy to learn and use, you can use it to build anything you want and it can easily interface with different frameworks.
For application development, frameworks make programmers lives easier by providing a defined structure so that they can focus more on the core application logic instead of other elements. Frameworks also automate the implementation of common tasks and cut development time. Another edge for developers using Python is that there is no scarcity of frameworks to choose from and they all have their own set of advantages and limitations.
There are mainly 3 types of Python frameworks, namely full-stack, micro-framework and asynchronous.
Full-stack frameworks are generally a one-stop solution for developer requirements as they include form generators, form validation, and template layouts.
Micro-frameworks do not offer extra functionalities and features like the full-stack ones but you will have more flexibility.
With its popularity increasing recently, any asynchronous framework is a micro framework that is able to handle a big set of concurrent connections.
To decide on which framework to use, it is really dependent on the project requirements and the developer preference. Generally if you are looking to develop a large system full of features and requirements, a full-stack framework might be the right choice. Let’s now look at a few of the best frameworks that can be used by Python developers.
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Undoubtedly, Django is one of the most beloved web development full-stack frameworks for developing Python applications. It is an open source and free-to-use framework which enables developers to create complex code and applications effectively and quickly. Some of the exemplary features of Django are having a significant assortment of libraries, object-relational mapper (ORM), URL routing, authentication support, database schema migrations and template engine. As Django uses its ORM to map objects to database tables, it is able to support multiple databases such as MySQL, SQLite and Oracle as well as makes it easier to migrate from one database to another. Thanks to its great features, it is used by renowned companies such as Instagram and Pinterest.
Another popular and powerful Python framework is Flask which is available under the BSD license and inspired by the Sinatra Ruby framework. It is a microframework and it relies upon the Werkzeug WSGI toolbox and Jinja2 template. With its lightweight and modular design, Flask is readily adaptable and the main idea behind it is to build a strong web application foundation from where it is possible to use any kind of extensions required. Although it is usually considered as an open ended framework used for building APIs, it can also be used in developing backend systems. A few key features are having a built-in fast debugger and development server, integrated support for unit testing and compatible with Google App Engine.
On top of being an open-source Python framework and an asynchronous networking library, Tornado utilizes a non-blocking framework I/O and solves the C10K issue, meaning it can deal with more than 10,000 simultaneous connections. The main features of Tornado are built-in support for user authentication, non-blocking HTTP client and support for translation and localization. In addition to the above, its high-quality performance makes it an awesome tool for building applications that have high requirements and have a huge number of concurrent users.