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The main content of this article is to explain "what are the advantages of Python used to do Web development", interested friends may wish to have a look. The method introduced in this paper is simple, fast and practical. Let's let the editor take you to learn "what are the advantages of Python for Web development?"

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

Currently, some top companies use Python (such as Instagram) in their technology stacks

A photo social networking site owned by Facebook

Python is suitable for a variety of Web projects from simple to complex. It is widely used in travel, health care, transportation, finance and other fields, for Web development and software testing, scripting and generation.

Python's popularity is related to the benefits it offers, such as simplicity and elegance that attract these big companies.

From the TIOBE rankings

Pros: why choose Python for Web development?

Advantages of Python

1. Easy to use and read

There are several factors that simplify the use of Python in Web development:

The low entry threshold Python is similar to the English we use in our daily life. The simplicity of the syntax allows you to deal with complex systems and ensures that all elements have clear relationships. As a result, more novice programmers can learn the language and join the programming community faster.

Good visualization makes it possible to represent data in an easy-to-understand format by using different diagrams and charts. They are effective ways to visually present and understand data. Web development companies use Python libraries such as Matplotlib to visualize data and create reports that are clear and easy to understand.

Python is very easy to read, so developers usually have no problems understanding code written by other programmers. This can lead to 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, it doesn't take much effort to write and maintain asynchronous code in Python. Each unit of this type of code runs separately, allowing you to deal with situations and problems more quickly.

3. Programming methods with fewer restrictions

Python has a less restrictive programming method than other coding languages, such as Java. It has a variety of examples and can support a variety of programming styles, including procedural, object-oriented, and functional (imperative). This makes Python an excellent language for startups, as projects may need to change their approach at any time.

These include:

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 more productive for developers.

OOP becomes easier. Object-oriented programming (also known as OOP) is an example of organizing different behaviors and properties into multiple objects and classes. Each of these classes has a function, so if an error occurs in some parts of the code, others will not be affected. In Python, the operation of OOP has been greatly simplified, resulting in lower development costs and less time.

Rich standard libraries and ecosystems. Python's library has a lot of precompiled code. Therefore, developers do not need to waste time creating basic projects. These libraries also allow programmers to process and transform data needed 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 Python's smooth integration with other languages traditionally used for enterprise development, such as Java,PHP and .NET.

Python calls directly with Java,C + + or C code, so it can do a lot of process control and implementation for most common protocols and data formats.

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

5. You can use Python framework to develop Web quickly.

Another advantage of Python is that it has many frameworks that simplify the development process. Depending on your work, you may need a different framework.

Here are four famous frameworks:

Four famous Python web frameworks

Django: this framework is ideal for mature Web applications and mid-range extensible projects. It has built-in functionality and allows reuse of code, consistent changes to different parts of the code, and other features that simplify Web development. Django works well with Oracle SQL,PostgreSQL,MySQL and other well-known databases.

Pyramid: with this framework, you can start on a small scale and scale as needed. The pyramid can be used with a variety of databases and applications, or can be extended with plug-ins-developers can add any functionality they need. This is convenient when you need to implement various solutions in a task.

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

Flask: the idea of this framework is to provide a solution that is easy to manage and easy to customize. Flask defines itself as a microframework that is most commonly used in small solutions that give priority to lean functionality. The framework is also used to create prototypes.

6. The scientific calculation library is convenient.

There are a variety of 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 common ones are:

5 common scientific computing libraries:

SciPy (Digital Library of Science)

Pandas (data Analysis Library)

IPython (command shell)

NumPy (basic numerical package)

Natural Language Toolkit (Library For Mathematical And Text Analysis: a library for math 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 integrate them into various projects. This is possible if you use the right language.

According to Jean Francois Phuket, 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 software package, tools for visualizing results, and goes far beyond data analysis and other features that benefit the application area.

Python is indeed one of the hottest languages in machine learning and artificial intelligence.

The most typical terms are online speech synthesis, 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 Magi C + + and Java, Python can be easily used for application scripting. Designed to be embeddable from the start, it is useful for customizing and extending large applications.

I don't dare to say that Python can replace Lua, but Python can be embedded in C _ Lua + like Lua.

9. Software testing

Python is used for test automation. Many QA automation experts choose Python because of its simple learning curve-which is also 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, when I worked for a routing manufacturer, I was surprised when I saw the testing department using Tcl scripts to test router ports. After all, the syntax of Tcl scripts is really weird, and the syntax of Python is really clean and concise compared to this.

10. Use in prototyping

Prototyping with Python has proved to be a quick and easy process. The agility of the programming language makes code refactoring easy, and the initial prototype can be quickly developed into a final product.

11. Open source

Python has an open source license that makes it easy for users to access 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 consists of functional modules and the connections between them, allowing you to execute program algorithms according to user actions. Python also supports the graphical user interface required in Web development.

13. Portability and interactivity

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

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