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Today, I will talk to you about how to fully parse the Python code, many people may not know much about it. In order to make you understand better, the editor has summarized the following content for you. I hope you can get something according to this article.

Python code allows users to avoid excessive syntax constraints and focus on the program tasks they want to achieve. Python implements object-oriented programming in a very powerful and simple way. I hope this article will teach you more.

Python is older than Java, and by now, the language has developed a small but growing self-describing enterprise application, Pythonistas. Although people often compare Python with Perl as a scripting language dedicated to Internet, Python does occupy its place in the field of large-scale software development. This scripting language has the following remarkable features:

◆ object oriented

◆ interpretive language

◆ interactive

◆ modularization

Dynamic property of ◆

◆ high-level language

◆ is portable

◆ can be extended with C and C++

Python integrates various concepts such as modules, exceptions, dynamic input, advanced dynamic data types, and classes. It has established interfaces with a variety of system functions, system libraries and even all kinds of Windows systems. If Python doesn't necessarily infiltrate any computing space, at least that's where it is in the business of enterprise development. In the field of enterprise development, Python code is also used as a scripting language that can replace Perl. This paper makes a brief exposition on the problem of constructing enterprise application by Python.

Some features of the Python language make it a reasonable choice for enterprise applications:

◆ is freely available (like Perl, Python is open source software).

◆ is stable (Python is currently released to version 2.2, and as I just mentioned, it is older than Java).

◆ supports objects, modules, and other reusable mechanisms well.

◆ adopts the integration convenience and expansibility of C and Java language.

These features are very useful for the application of Python in the enterprise, but Python also has some other reasonable factors that are suitable for enterprise applications but are not very noticeable. The tasks that the IT section usually has to accomplish are quite onerous, but there are few resources to support them.

This has become an open secret. Any IT solution that promises to improve coding efficiency and reduce the total cost of software should be carefully considered. One of the significant advantages of Python is that it can save a lot of money in the software creation and maintenance phase of the enterprise, and the software cost of these two stages accounts for 50% to 95% of the total cost of the software throughout the life cycle.

Python's clear and readable syntax makes the software code unusually readable, even for programmers who are not originally exposed to and developed the original project. While some programmers object to the heavy use of spaces in Python code, almost everyone agrees that Python code is far more readable than C or Java.

The latter two use special characters to mark the beginning and end of code block structures, loops, functions, and other programming structures. Proponents of Python also claim that the adoption of these characters can lead to significant programming style differences, making it difficult for those responsible for maintaining the code to be readable.

The clear syntax of Python code makes it a programming language with a peaceful learning curve. An experienced programmer may even master the basics of Python in a day, within a week at most, while a programming language expert will certainly master C, C++, Java, or even Perl much faster than he does. The benefit of Python due to its clear syntax may be a significant reduction in development time. A developer working on enterprise application development told me.

His unit's development time has been greatly saved due to the adoption of Python, but it has not had any negative impact on software performance. "as far as our business is concerned, developing new products quickly is much more important than developing software products with amazing performance, and development time is much more expensive than software optimization (per hour)," he said.

It has always been difficult to determine what criteria to use to evaluate the development speed, but in general, it is generally believed that the speed of developing Python applications is about 10 times faster than that of developing similar applications with Java. It will save more time than CAccord Clipper +.

After reading the above, do you have any further understanding of how to fully parse Python code? If you want to know more knowledge or related content, please follow the industry information channel, thank you for your support.

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