Web development is becoming increasingly popular as more and more businesses and organizations move online. With this rise in popularity comes a need for efficient and reliable backend development. Many great corporations opt for backend development with Python. It is a programming language that is widely used for designing web applications and web and software development and has proven to be a great choice for this task.
Why You Should Use Python for Backend Development?
- Easy to learn and use.
- Large and supportive community.
- Wide range of libraries and frameworks.
- Great for prototyping and development.
- Versatile and can be used for various purposes.
According to InternetLiveStats, there are more than 5.038 billion web users globally. Besides, the total number of websites roughly equals 1.8 billion. This means that with assistance from a reliable backend app development company, you can gain competitiveness and reach success.
Why is Python ideal for this? Let’s see the key reasons to apply Python for backend web development.
Suitable for different tasks
Python is a multi-functional programming language that is suitable for a wide range of tasks. It is typically used for web development, Data Science, Machine Learning, Artificial Intelligence, and more.
Another advantage of using Python for backend development is its scalability. Python is a high-level language that is easy to scale, making it suitable for a wide range of projects, from small, simple web applications to large, complex systems. This makes it a great choice for businesses and organizations that need to handle a large amount of data and traffic.
Multi-functional frameworks
One of the main reasons to go for backend development using Python is the number of frameworks that are available to make this process much easier. Some of the most popular frameworks for backend architecture in this programming language include Flask, Django, and Pyramid. These frameworks provide a set of tools and libraries that make it easy to develop web applications quickly and efficiently.
Flask, for example, is a lightweight framework that is easy to set up and is great for small to medium-sized projects. Django, on the other hand, is a more robust framework that is suitable for large and complex projects.
Python is also platform-independent, which means that it can be run on a variety of operating systems, including Windows, Mac, and Linux. Due to this fact, it’s a brilliant option for organizations that need to deploy their applications on different platforms.
Moreover, Python is an open-source language, which means that it is free to use and distribute. Such a peculiarity defines that Python is great for businesses that have a tight budget, as they can save money on licensing fees. Thus, whether you want to develop a dashboard app with Python, an e-commerce platform, or a solution for healthcare, this programming language is the perfect ultimate tool to use.
Easy-to-read code
In addition to all the benefits of using Python for backend development are that it is easy to read and understand. The syntax of Python is straightforward and simple, which makes it easy for developers to write and maintain code. This is especially important for large projects where multiple developers may be working on the same codebase.
Cybersecurity
Cybersecurity is another area where Python is widely used. Python is great for writing scripts and tools to automate security tasks and also for security research. Python is a great programming language for solid protection because it is able to fulfill a diversity of cybersecurity functions, like malware analysis, penetration testing, and scanning. As it was previously mentioned, Python’s simplicity and ease of use make it excellent for developers who are new to cybersecurity.
Large community
Python also has a large and active community. This means that there are many resources and tutorials available online, and developers can easily find answers to their questions on forums and online communities. Additionally, there are many libraries and modules available that can be used to extend the functionality of Python.
No, there is no “best” language for backend programming as it ultimately depends on specific requirements, constraints and personal preferences. Python is one of the popular choices due to its simplicity, versatility, and large ecosystem, but other languages such as Java, Ruby, Go, and C# also have their own strengths and are widely used for backend development.
Python can be used for both frontend and backend development. However, it is more commonly used for backend development as a server-side language to build server-side applications, process data from databases and APIs, and handle server-side logic. While Python can be used for frontend development using libraries like Flask and Django, JavaScript is still the most widely used language for frontend development.
How to use python as a backend with HTML?
- Set up a server-side Python web framework like Django or Flask.
- Create a RESTful API endpoint that can receive HTTP requests from the frontend (HTML/JavaScript).
- Use the API endpoint to process the data from the frontend, perform any necessary logic, and send a response back to the frontend.
- In the frontend HTML, make AJAX requests to the API endpoint to send data and receive a response.
- Use the received response data to update the frontend HTML dynamically, without reloading the page.
You can also use JavaScript frameworks like React or Angular to build the frontend, and communicate with the Python backend using APIs.
Final thoughts
In summary, Python is a great choice for backend development. It is a versatile, multi-functional language that is easy to read and understand, and it has a large and active community. Additionally, it is scalable, has a wide range of third-party libraries and modules, platform-independent and open-source. These factors make Python a powerful and cost-effective choice for backend development. Therefore, whether you’re building a small web application or comprising large, complex systems, Python has the tools and resources to make your job easier.
