What Is A Framework? What Are Some Popular Python Frameworks?

Python has witnessed unprecedented growth and popularity among programmers over the past few years. There are many reasons for this incredible growth of Python, some of which have been highlighted in this article.

In comparison to other programming languages, Python has a simpler syntax which is less complicated and makes it a more easily accessible language. The language is easy to learn and provides faster execution than other languages.

With the increased popularity of the use of Python, it is essential to understand how you can best use Python frameworks and their key features.

Understanding Python frameworks

Frameworks are predesigned and optimized modules that make programming much easier. One of the main benefits of working with frameworks is that the programmer does not have to worry about the relatively inconsequential details such as protocols and processing.

Using frameworks in programming can help reduce bugs and makes working on sophisticated technologies effortless. One advantage of this seamless process is that programmers can be flexible with their work and focus on the larger high-level functionalities of their code.

Frameworks in Python

Python frameworks are very commonly used due to the simplicity of language and the ease of development that they provide. Millions of developers across the world have stated a high demand for Python frameworks.

Consequently, the frameworks have undergone high scrutiny and now possess high industry standards after multiple testing and development.

Python frameworks can be assessed on the basis of their key features such as efficiency, implementation, code reusability, and readability. Keeping these functionalities in mind, here are the most popular Python frameworks of 2022.

Django

Django is a free-of-cost open-source full-stack Python framework that has been incorporated with all the necessary features that a programmer may require by default.

The core principle of Django is DRY, that is, Don’t Repeat Yourself. Django mainly works on databases such as PostgreSQL, MySQL, SQLite, and Oracle. Django can also work on third-party databases.

Django is loved by developers across the world as it makes programming the most robust codes much easier. It also comes with heavy documentation, ready-to-use libraries, and the support of the community.

Key features and advantages of Django include

• URL Routing
• Authentication Support
• Web Server Support
• Template Engine
• Object-relational Mapper

Flask

Flask is one of the best Python micro-frameworks that is lightweight and has a modular design, making it adaptable to the needs of every individual developer.

Key features of Flask include

• HTTP Processing
• Built-in Development Server
• Secure Cookies
• Flexibility with Object-relational Mapping
• In-built Debugging

These unique features of Flask have made it scalable. It is a unique Python framework that is simple and minimalist.

FastAPI

One of the more robust Python frameworks. FastAPI is modern and fast and is considered one of the best out there.

Key features of FastAPI include

• Faster Development
• Fewer Bugs
• High-level Performance
• Autocomplete Features
• Works well with Python 3.6+

FastAPI provides great editor support as the framework is intuitive and minimal. It works best with Uvicorn and you will need an ASGI server for local testing.

CherryPy

Bottle is a single-source Python framework that has no external dependencies. It is the best choice for prototyping ideas and running simple personal web applications.

Key features of Bottle include

• Compact in Size
• Easy to Learn
• Best for Smaller web Applications
• Fast and Reliable

Bottle allows the developers to work closer to the hardware and is apt for learning different web frameworks. It makes working simpler as it is flexible to use and requires minimal tools.

Frequently Asked Questions