The advantages of Python for web development!

The advantages of Python for web development!

Python is one of the most popular coding languages ​​in the world. It was first conceptualized under the influence of the ABC and Modula-3 languages ​​in the late 1980s. It has come a long way from the first version in 1991 to the 2.0 version that became an open source project. To this day, it is gathering a large and professional community that is constantly improving the technology.

Some top companies currently use Python in their technology stacks (e.g. Instagram)

A picture social network under Facebook

Python is suitable for all kinds of web projects from simple to complex. It is widely used in different fields such as travel, healthcare, transportation, finance, etc., for web development and software testing, script writing and generation.

The popularity of Python is related to the various benefits it provides, such as simplicity and elegance that attract these big companies.

From the TIOBE ranking

Advantages: Why choose Python for web development?

Advantages of Python

1. Easy to use and read

Several factors can simplify the use of Python in web development:

Low entry barriers Python is similar to the English used in our daily lives. The simplicity of the syntax allows you to deal with complex systems and ensure that all elements have a clear relationship. Therefore, more novice programmers can learn the language and join the programming community faster.

Good visualization effects can represent data in an easy-to-understand format by using different graphs and charts. They are an effective way to visually present and understand data. Web development companies use Python libraries (such as Matplotlib) to visualize data and create clear and easy-to-understand reports.

Python is very easy to read, so developers usually don't have any problems understanding code written by other programmers. This can promote more efficient communication between developers working on the same project.

2. Asynchronous coding

Since there are no deadlocks or research disputes or any other confusing issues, writing and maintaining asynchronous code in Python does not require much effort. Each unit of this type of code runs separately, allowing you to deal with situations and problems faster.

3. Less restrictive programming methods

Compared with other coding languages ​​(such as Java), Python has less restrictive programming methods. It has a variety of paradigms and can support multiple programming styles, including procedural, object-oriented, and functional (imperative). This makes Python a great language for startups, because projects may need to change methods at any time.


Rapid development. Python is not only one of the fastest growing coding languages, but also a language that allows rapid prototyping and iteration. This makes work easier and is more productive for developers.

OOP becomes easier. Object-oriented programming (also known as OOP) is a paradigm for organizing different behaviors and attributes into multiple objects and classes. Each of these classes has a function, so if an error occurs in some parts of the code, other parts will not be affected. In Python, the operation of OOP has been greatly simplified, which makes the development cost lower and saves time.

Rich standard library and ecosystem. The Python library has a lot of pre-written code. Therefore, developers do not need to waste time creating basic projects. These libraries also allow programmers to process and transform data required for continuous data processing in machine learning (ML).

4. Enterprise application integration

Python is a popular choice for enterprise software applications, thanks in large part to its smooth integration with other languages ​​traditionally used for enterprise development, such as Java, PHP, and .NET.

Python is directly called with Java, C++ or C code, so that a large amount of process control and realization of most common protocols and data formats can be carried out.

In addition, it can also be used to assemble old and new fragments of infrastructure, which is a typical situation in complex mobile applications.

5. You can use the Python framework for rapid web development

Another advantage of Python is that it has many frameworks that simplify the development process. Depending on your work, different frameworks may be required.

Here are 4 well-known frameworks:

4 famous Python web frameworks

Django: This framework is very suitable for mature web applications and mid-range scalable projects. It has built-in functions and allows reuse of code, consistent modifications to different components of the code, and other functions that simplify web development. Django can work perfectly with Oracle SQL, PostgreSQL, MySQL and other well-known databases.

Pyramid: Using this framework, you can start small and scale as needed. Pyramid can be used with various databases and applications, or it can be extended with plugins-developers can add any functionality they need. This is convenient when you need to implement various solutions in one task.

TurboGears: TurboGears consists of several components such as Repoze, WebOb and Genshi, and is based on the MVC architecture. This is useful for fast and efficient web application development and easier to maintain. Using this framework, you can write small or complex applications using minimal or full stack mode, respectively.

Flask: The idea of ​​the framework is to provide an easy-to-manage, easy-to-customize solution. Flask defines itself as a micro-framework, most commonly used for small solutions that primarily prioritize lean functions. The framework is also used to create prototypes.

6. Convenient scientific computing library

There are various software packages and libraries available for developing scientific and digital applications, as well as toolkits (such as VTK 3D and MayaVi), separate imaging libraries, and many other tools. The most commonly used are:

5 common scientific computing libraries:

SciPy (Science Digital Library);

Pandas (data analysis library);

IPython (command shell);

NumPy (basic numerical software package);

Natural Language Toolkit (Library For Mathematical And Text Analysis: a library for mathematics and text analysis).

7. For machine learning and AI

Machine learning (ML) and artificial intelligence (AI) technologies are getting more and more attention, so more and more developers are trying to incorporate them into various projects. This is possible if the correct language is used.

According to Jean François Phuket, a representative of IBM's machine learning department, Python is the top language for ML and AI projects, and many developers agree. Python has an efficient ML package, tools for visualizing results, and goes far beyond data analysis and other features that benefit this application area.

Python is indeed the hottest language for machine learning and artificial intelligence, not one of them.

The most typical terms are online speech synthesis and online speech recognition. If your project is to build an artificial intelligence web application, then Python is perfect.

8. As an application script

Thanks to the powerful integration of Python with C, C++ and Java, Python can be easily used for application scripting. Designed to be embeddable from the beginning, it is very useful for customizing and extending large applications.

I dare not say that Python can replace Lua, but Python can be embedded in C/C++ like Lua.

9. Software testing

Python is used for test automation. Many QA automation experts choose Python because it has a simple learning curve-it is also very useful for people with a limited technical background (strong community, clear syntax and readability). Python even has an easy-to-use unit testing framework (for example, you can use it to perform geolocation testing on mobile applications).

M years ago, I was working in a router manufacturer. At that time, I saw that the testing department used Tcl scripts to test router ports. I was surprised at that time. After all, the syntax of Tcl scripts is really weird. Compared with this, Python's The syntax is really clean and concise.

10. Use in prototyping

Prototype creation in Python has proven to be a fast and simple process. The agility of the programming language makes it easy to refactor code, and the initial prototype can be quickly developed into the final product.

11. Open source

Python has an open source license, which allows users to easily access it and facilitates redistribution and unlimited modification. Developers are free to use the language and contribute to its improvements.

12. Server-side script

As mentioned above, one of the advantages of using Python for server-side scripting is its simple syntax, which greatly speeds up processing. The code is composed of functional modules and the connections between them, allowing you to execute program algorithms based on user operations. Python also supports the graphical user interface required in web development.

13. Portability and interactivity

Python has excellent features for dynamic semantics and rapid prototyping, thanks to its interactivity and portability. It can be easily embedded in various applications, even applications that use different coding languages. Therefore, you can easily fix new modules and expand Python's core vocabulary. It can connect various components. No wonder it is sometimes called the "glue language".

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Reference: The advantages of using Python for web development! -Cloud + Community-Tencent Cloud