Introduction
With a market share of around 30%, Python is one of the most renowned, versatile and popular programming languages across the globe. Tech giants like Google, Apple, Netflix, Walmart, Amazon and Meta use Python for web development. Conceptualized in the late 1980s, this programming language has come a long way from its release to become an open-source project. Python web-developers use various tools and techniques, including pre-built components to reduce the time-to-market and save huge costs. Which Python frameworks should you choose to strengthen your website performance?
Infographics by GO-Globe Web Design
Is Python good for web development? The TIOBE index places Python at the top of the table amongst one of the most popular programming languages worldwide. However, Python lacks the necessary capabilities and functions to expedite the creation of custom web-built applications.
There are a few techniques listed below to enhance the speed of web development with the use of Python:
Apply a web framework
Python offers a wide range of web frameworks which provide a well-organized and effective means of creating online applications. Routing, templating, and database integration are just a few of the built-in features that popular frameworks like Django, Flask, and Pyramid provide. These features can speed up web development, and save a huge amount of costs.
Incorporate Code Generators
Django is one web framework that provides code generation tools that can generate boilerplate code for typical web development tasks. These generators enable you to quickly set up the basic foundation of your application by producing models, views, forms, and other components.
Take use of Libraries and Packages
Python offers a robust ecosystem of Libraries and Packages that help speed up web development. For instance, tools like queries make HTTP queries simpler, BeautifulSoup helps with site scraping, and Celery makes task queueing and scheduling.
Accept ORM
Python's web frameworks frequently include ORM libraries like Django's ORM or SQLAlchemy. These modules remove the complexity of SQL by allowing you to interface with databases using Python objects. By automating frequent database transactions and offering a greater degree of abstraction, ORM solutions can save processing time.
Use template engines
Template engines are employed to assist you in separating the presentation layer from the business logic, such as Jinja2 or Django's built-in template engine. You may reuse code and design patterns by utilizing templates, which makes it simpler to maintain and upgrade your online application.
Employ database optimisation and caching
Performance optimization is essential for accelerating web development. Python has caching modules like Memcached or Redis that may greatly speed up your application by constantly caching data. Performance may also be significantly impacted by indexing, optimizing database queries, and using efficient database design.
Automate Testing and Deployment
Automating the testing and deployment procedures may save substantial time and effort. Tools for automated testing are provided by frameworks like Django, enabling you to develop test cases to validate the functionality of your application. Additionally, adopting continuous integration and deployment solutions like Jenkins or GitLab CI/CD helps speed the deployment process and help detect issues early on.
Utilize APIs and Third-Party Services
By offloading some chores, integrating with external APIs and using third-party services helps speed up development. Working with APIs is made quite easy with Python because of the abundance of packages that are available. By utilizing existing APIs and services, you can focus on building the core features of your application without reinventing functionality that already exists.
Best Python Frameworks
Python has a huge array of frameworks, which most of the web developers and web applications use. The best Python frameworks in 2023 are listed below:
Django
Django is a free, open-source web development framework that helps to develop applications and complex codes swiftly. Quality web applications can be built using this framework. It is quickly used to develop APIs and web applications. It is also renowned and top-ranked because of its vast collection of libraries, reusability of components and less need for coding. Django has a built-in authentication system, a powerful URL, an object-oriented programming language and an automatic admin interface.
CherryPy
CherryPy is a rapid, lightweight, quick and stable Python web development framework, which is an open-source platform and can perform all the tasks including editing, deleting, file uploads, cookies which a framework can do. This framework also allows web developers to create and develop applications similar to any object-oriented Python program. The key features of CherryPy include a consistent, HTTP compliant web server, built-in tools for encoding, sessions, caching and authentication. Other key features and advantages of this framework include a powerful configuration system and a built-in profiling and testing support system.
Pyramid
The pyramid web development framework is being used by giants like Mozilla, Dropbox, Yelp and SurveyMonkey. This framework is very flexible and has a minimalistic nature. The pyramid framework is used to develop essential complex projects and web applications. It runs on Python 3, and its key features include HTML structure generation and validation, flexible authentication and approval, URL mapping and testing support and data documentation.
Additional Frameworks
Some additional Python frameworks also include the following:
- TurboGears
- Flask
- Web2Py
- Grok
- Bottle
- Tornado
- BlueBream
- Quixote
These frameworks are used for writing web applications, ensuring adaptable and high volume programming, offering high-quality outputs, building simplistic personal-use apps, and some of them are also well suited for small and easy projects, which do not require high-level programming. Some of the tech giants that use these frameworks include Facebook, LinkedIn, Pinterest, Instagram, Mozilla, Chrome and many others.
Python: Your Secret Weapon for Blazing-Fast Web Development
- The programming language market size is expected to reach 343.84 billion USD by 2029.
- According to the Online Historical Encyclopaedia of Programming Languages, people have created about 8,945 programming languages.
- Python has a total of 28% market share worldwide
- As of 2023, a Python web-developer’s popularity has increased by 8.7% in the last 5 years
- Python’s usage on Instagram allows its 500 million daily active users to edit, picture, store, and share their creations in a digital album
- As of April 2023, Python firmly holds the 1st position in the TIOBE Index (14.51% of all queries)
- As per the latest statistics, Python is the main coding language for around 80% of developers.
- In March 2023, Python-related questions accounted for approximately 14.75% of total questions
- In a survey conducted in January 2023, the most demanded programming languages by recruiters were JavaScript and Java, with over 40% of recruiters looking to hire people with those programming skills. Python ranked third, with 38% of respondents searching for this skill when hiring
- The average annual pay of a Python developer is US$107,311
- Python and Typescript enjoy a popularity of 21% among all the programming languages in Singapore
- More than 12,000 projects have been built using Django, the top-ranked Python framework
Conclusion
This article has provided a holistic overview on how python has increased traction across the globe, and how the programming language operates within web development and other spaces. Many web developers now choose Python’s robust collection of frameworks to deal with the subtleties of execution. The task which requires 50+ lines of code in other programming languages like Java or C++ can be done in Python in just 5 lines. There is no doubt that Python is the #1 programming language, and it’s heavily used in areas like automation, web development, machine learning, and Data Science.
