Python, which is currently one of world’s most popular programming languages, was created by Guido Van Rossum in 1991 and is said to be the most preferred programming language by 80% of web developers.
Its simplicity has made it easy to learn especially for beginners who want to learn how to write short codes in minutes.
Large companies like Google, Intel, Amazon, and Instagram also prefer python for their web development because of its vast list of frameworks and libraries which make everything more efficient.
Some amazing features of python include:
- Easy to code.
- It’s free and open source.
- Offers GUI programming support.
- It’s portable.
- It’s easy to read.
What are Python Web Frameworks?
What do web developers use to make their work easier? If you answered Frameworks, you’re right. Python Frameworks help reduce development time by building a code library that eliminates the need to perform repetitive small tasks over and over again.
However, it’s important to remember that there are different frameworks available depending on the complexity of the app.
Types of Python Frameworks.
- Full-Stack Framework.
A Full Stack Framework is a framework that comes packaged with all web development requirements including template layouts, generators, form validation, and much more. They are also sizable because they contain several modules and services. Examples of popular full-stack frameworks include Django and Bottle.
These are lightweight frameworks that don’t offer additional features. Compared to full stack, microframeworks offer limited functionality and are used for smaller tasks.
A downside of using this framework is that you have to manually add a lot of code and other requirements you might need. Examples of popular microframeworks include CherryPy and Flask.
- Asynchronous Framework.
An asynchronous Framework is a microframework that facilitates the execution of more than one computer programs by a single computer. This means a unit of work runs separately from the main thread and notifies it of its completion, progress, or failure. It uses the asyncio library hence the name. An example of an asynchronous framework is FastAPI.
In this article, we’ve narrowed down 5 easy to learn python frameworks you should consider ranging from full stack frameworks like Django to minimalist frameworks like CherryPy.
Django is the most used full-stack python framework in the world. It is a free-to-use open source framework that enables developers to develop apps and complex codes quickly. Django comes with a large list of features that make app development feel seamless. Although it can be quite challenging for beginners, it’s a great and highly recommended programming language used by senior developers worldwide.
Key features of Django include:
- Has advanced security features.
- Highly scalable and flexible.
- Has an endless range of ready-to-use libraries.
- Provides support for web servers.
- Has SEO optimization features.
FastAPI is a framework mostly used to develop RESTful APIs in python. It is one of the fastest python frameworks available and is more versatile compared to other frameworks. Some of its development structure is quite similar to Flask but with a more modern feel.
A unique feature of FastAPI is it can fully support both synchronous and asynchronous programming.
Key features of FastAPI include:
- Has interactive documentation.
- It’s fast and effective.
- It reduces the amount of code duplication.
- Provides high performance.
- It’s versatile and modern.
- Easy to learn compared to Django.
- Has fewer bugs.
CherryPy is one of the oldest, fastest, most reliable, and open source web frameworks used today. It was first released in 2002 and is currently being used by companies like Hulu and Netflix. This microframework is perfect for beginners because it can be used to create apps with smaller source code in a short time.
CherryPy is capable of everything that a web framework can do, for example, file uploads, cookies, etc.
Key features of CherryPy include:
- Can run multiple HTTP sessions at a go.
- Has a powerful configuration system.
- Works on Android.
- It’s flexible.
- Has inbuilt support for caching, encoding, and static content.
- Faster development time.
Flask is a type of microframework that’s readily adaptable thanks to its modular design and simplicity. It depends on the Jinja2 template and Werkzeug toolkit.
The basic functionality of this microframework helps lay a stable base where you can use any extensions to build upon it. If you’re looking for a microframework with unique features, flask has many useful out-of-the box features which include a built in development server.
Flask is available under the Berkeley Source Distribution (BSD) license and is inspired by the Sinatra Ruby Framework.
Key features of Flask include:
- It’s lightweight.
- It’s easily adaptable to developers’ needs.
- It depends on two external libraries: the Werkzeug WSGI toolkit and the Jinja2 template.
- Has integrated support.
- Unicode based.
- High flexibility.
- Supports secure cookies.
Bottle is a full-stack framework that allows web developers to interact closely with the hardware. It has zero dependence on third-party libraries and is also very lightweight.
Bottle was originally developed for building web APIs and falls under small-scale frameworks.
Some out-of-the-box functionalities present in Bottle also include directing, templating, and utilities.
Key features of Bottle include:
- Offers plugin support for different databases.
- Has high performing file transfers.
- Has a built-in HTTP server.
- Has dynamic routing capabilities.
- Has speed optimizations for testing and high performance.
- Permits easy access for cookies, file uploads, and data.
If you’re looking for an easy-to-learn python framework for web, then this article has narrowed down some of the most versatile and effective frameworks in 2022. Frameworks go a long way when it comes to making app development easier and faster.
It’s also good to remember when picking the right framework, you need to consider the complexity of the work to be done. A full stack Framework works best for bigger apps while Microframeworks work best for smaller and lightweight apps because of their limited functionality.