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This article mainly introduces "what are the advantages of Python". In daily operation, I believe many people have doubts about the advantages of Python. The editor consulted all kinds of materials and sorted out simple and easy-to-use methods of operation. I hope it will be helpful for you to answer the doubts about "what are the advantages of Python?" Next, please follow the editor to study!

Technical advantages:

1. Object-oriented and functional

Basically, Python is an object-oriented language. Its class model supports advanced concepts such as polymorphism, operator overloading, and multiple inheritance, and OOP is easy to use against the background of Python's unique concise syntax and types. In fact, even if you don't understand these terms, you will find that learning Python is much easier than learning other OOP languages.

In addition to being a powerful means of code organization and reuse, the OOP nature of Python makes it an ideal scripting tool for other object-oriented system languages. For example, with appropriate glue code, Python programs can customize subclasses of C++, Java, and C# classes.

It is very important that OOP is just a choice for Python. Even if you can't become an object-oriented master right away, you can continue to study in depth. Like C++, Python supports both object-oriented programming and process-oriented programming patterns. Its object-oriented tools can come in handy immediately if conditions permit. This is useful for strategic development patterns, which are often used in the design phase of software development.

In addition to the original procedural (statement-based) and object-oriented (class-based) programming paradigm, Python has built support for functional programming in recent years-- a collection of generators, deductions, closures, mappings, decorators, anonymous lambda functions, and first-class function objects. This is a supplement and replacement to its own OOP tool.

two。 Free of charge

The use and distribution of Python is completely free. Just like other open source software, such as Tcl, Perl, Linux and Apache. You can get the source code of Python for free from Internet. You can copy Python without restrictions, embed it in your system or release it with the product. In fact, you can even sell its source code if you like.

But don't get me wrong: "free" doesn't mean "no support". On the contrary, Python's online community responds to users' needs as quickly as commercial software. Moreover, because Python is completely open source, it improves the strength of developers and creates a large team of experts.

While it's not fun for everyone to study or change the implementation of a programming language, it's comforting to know that you can do it if you need to. You don't need to rely on the wisdom of commercial vendors, because the final documentation and the ultimate Pure Land (source code) are at your disposal.

The development of Python is community-driven and is the result of Internet's extensive collaborative efforts. Changes to the Python language must follow a set of normative and binding procedures (called PEP processes) and need to be thoroughly checked by a standardized test system. It is this that allows Python to be conservatively and continuously improved relative to other languages and systems.

Although the split between Python 2.x and Python 3.x versions has forcefully and deliberately undermined this tradition, it is usually still reflected within the two series of Python.

3. Transplantable

The standard implementation of Python is written in portable ANSI C and can be compiled and run on all major platforms today. For example, Python can be seen running everywhere from palmtop computers (PDA) to supercomputers. Python can run on the following platforms (here is only a partial list):

Linux and UNIX system

Microsoft Windows (all modern versions)

Mac OS (including OS X and Classic)

BeOS, OS/2, VMS and QNX

Real-time operating systems, such as VxWorks

Cray supercomputer and IBM mainframe

PDA running Palm OS, PocketPC, and Linux

Mobile phones running Symbian OS and Windows Mobile

Game console and iPod

Tablets and smartphones running Google Android and Apple iOS

And more.

In addition to the language interpreter itself, the standard libraries and modules that come with Python are implemented with cross-platform portability as much as possible. In addition, Python programs are automatically compiled into portable bytecode, and these bytecodes run the same on platforms that have installed a compatible version of Python.

This means that the core languages and standard libraries of Python programs can run indiscriminately on Linux, Windows, and other platforms with Python interpreters. Most Python peripheral interfaces have platform-related extensions (for example, COM supports Windows), but the core languages and libraries are the same on any platform.

As we mentioned earlier, Python also includes a Tk GUI toolkit called tkinter (version 2.x of Tkinter), which enables Python programs to achieve a fully functional user graphical interface that runs on all major GUI desktop platforms without any modification.

4. Powerful function

From the perspective of language features, Python is a hybrid. Its rich toolset puts it between traditional scripting languages such as Tcl, Scheme, and Perl, and system languages such as C, C++, and Java. Python provides the simplicity and ease of use of all scripting languages and has advanced software engineering tools that can only be found in compiled languages.

Unlike other scripting languages, this combination makes Python useful in long-term, large-scale development projects. Here are some brief descriptions of the tools in the Python toolkit:

Dynamic types: Python tracks the types of objects while the program is running, eliminating the need for complex types and sizes to be declared in the code. In fact, there is no type or variable declaration for this practice in Python. Because Python code does not constrain the type of data, it often automatically applies an object in a broad sense.

Automatic memory management: Python automatically allocates space for objects and automatically undoes space ("garbage collection") when the object is no longer in use, and automatically expands or shrinks when needed. As you will learn, Python can help you with the underlying memory management.

Large program support: in order to build a larger system, Python includes tools such as modules, classes, and exceptions. These tools allow you to organize your system into components, reuse and customize code using OOP, and handle events and errors in an elegant way. The Python functional programming tools mentioned earlier provide other ways to achieve the same goal.

Built-in object types: Python provides common data structures as a basic part of the language. For example, lists (list), dictionaries (dictionary), strings (string). We will see that they are flexible and easy to use. For example, built-in objects can be expanded or contracted according to requirements, and complex information can be organized at will.

Built-in tools: in order to deal with the above object types, Python comes with many powerful standard operations, including concatenation, slice, sort and mapping.

Library tools: to accomplish more specific tasks, Python comes with a number of precoded library tools, from regular expression matching to network support. When you have mastered the language itself, you can use Python's library tools in application-level operations.

Third-party tools: because Python is open source, it encourages developers to provide precoding tools in addition to Python's built-in tools. You can find many free support tools online, such as COM, image processing, numerical programming, XML, database access, and so on.

In addition to this series of Python tools, Python maintains a fairly concise syntax and design. Taken together, the result is a powerful programming tool with all the usability of a scripting language.

5. Mixable

Python programs can be easily "glued" to components written in other languages in many ways. For example, Python's C language API can help Python programs call C programs flexibly. This means that you can add functionality to Python programs as needed, or use Python in other environmental systems.

For example, mixing Python with library files written by C # or C++ makes Python a front-end language and customization tool. As we mentioned before, this makes Python a good rapid prototyping tool; the system can be implemented in Python for speed considerations at the beginning of development, and then transferred to C to gradually implement the system according to the performance needs of different periods.

6. Relatively simple and easy to use

Compared with other languages such as C++, Java, and C #, Python programming is surprisingly simple for most users. To run the Python program, you can simply type the Python program and run it. Intermediate steps such as compilation and linking required by other languages, such as C or C++, are not required.

Python can execute the program immediately, which forms an interactive programming experience and the ability to adjust quickly in different situations, and you can often see the effect of the program change almost immediately after changing the code.

Of course, the short development cycle is only one aspect of the ease of use of Python. Python provides concise syntax and powerful built-in tools. In fact, Python was once called "executable pseudocode". Because it reduces the common complexity of other tools, Python programs are simpler, smaller, and more flexible than those written in other popular languages when implementing the same functionality.

7. Relatively simple and easy to learn

Compared with other widely used programming languages, the core of the Python language is fairly easy to learn. In fact, if you are an experienced programmer, you can expect to write small-scale Python code in a few days, and you may be able to learn Python's style in a few hours, but you can't expect to become an expert in such a short time (forget the advertisements on the market). In addition, many people find that Python's learning curve is smoother than other programming languages. This is good news for professionals who want to learn the language for use at work, as well as good news for end users of systems that use the Python layer for customization and control. Today, many systems rely on the fact that users can learn enough Python knowledge to add or delete their Python custom code on the spot with little or no support.

In addition, Python also gives birth to a group of users who enjoy programming instead of programming for a living, and they do not need to master comprehensive software development skills. Although Python still has many advanced programming tools, the core language essence of Python is still quite simple for both beginners and experts.

At this point, the study on "what are the advantages of Python" is over. I hope to be able to solve your doubts. The collocation of theory and practice can better help you learn, go and try it! If you want to continue to learn more related knowledge, please continue to follow the website, the editor will continue to work hard to bring you more practical articles!

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