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How to compare Python script with Perl, I believe many inexperienced people don't know what to do about it. Therefore, this article summarizes the causes and solutions of the problem. Through this article, I hope you can solve this problem.

Python scripts already have a very good reputation in the development world: Python is an interpretive language, but this is not true, and Python allows users to avoid excessive syntax constraints and focus on the program tasks they want to implement.

Although people often compare Python scripting programs with Perl as a scripting language specifically applied to Internet, Python does occupy its own 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 does not necessarily infiltrate any computing field.

At least this is the situation in the business of enterprise development. In the field of enterprise development, Python 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).

◆ stable (the Python script 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. It has become an open secret that the tasks that IT parts usually have to accomplish are quite onerous, but there are few resources to support them.

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. Although some programmers object to the heavy use of spaces in Python code.

However, almost everyone agrees that Python code is far more readable than C or Java, both of which 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.

Python's clear syntax 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 scripts due to the clarity of its syntax may be a significant reduction in development time. A developer working on enterprise-level application development told me that the development time of his organization was greatly saved due to the adoption of Python.

At the same time, it does not have 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," he said. Development time is much more expensive than software optimization (per hour).

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 +.

The content management framework Zope created with Python is the most widely used and easy to understand content management framework in the open source domain. This tool allows programmers who know Python to create and deploy highly interactive websites in less time than JSP/ASP. Under this framework, website owners can easily modify the content of the site without programmer intervention.

After reading the above, have you mastered how to compare Python script with Perl? If you want to learn more skills or want to know more about it, you are welcome to follow the industry information channel, thank you for reading!

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