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This article shows you how to conduct a brief analysis of Python applications, the content is concise and easy to understand, it will definitely brighten your eyes. I hope you can get something through the detailed introduction of this article.

People who originally designed Python applications did not expect that Python will be so widely used in industry and scientific research today, which greatly improves the efficiency of developers and programmers, but also convenient for users to use.

Zope created with Python is the most widely used and easily understood 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.

Zope has been put into practice for several years. At present, it has been widely used in Europe. Zope has also won wide popularity in the United States. At present, the development of Zope is mainly focused on simplifying the development process and further separating the function from the presentation of content, thus once again increasing the popularity of Zope. Like Python, Zope is also open source software.

Zope does introduce a considerable system load, which reduces system performance during development, but some techniques can effectively minimize problems when deploying a website. One thing that is often overlooked when considering Python applications in the enterprise is Jython, a variant of Python applications. Jython is written entirely in the Java language.

To achieve rapid development and application testing, to improve the use of Java class libraries with much lower development time than Java edit-compile-test. Jython also has a compact integration of Python and Java code. So that both can make full use of each other's advantages. This is one of the goals that Microsoft .NET 's CLR technology aims to achieve, but today it has become a reality for Python.

Obviously, the enterprise application of Python should also take the opposing party's opinion seriously. The main arguments against Python as a viable language for enterprise programming are as follows:

◆ has far fewer developers than other programming languages, such as Java,Python applications.

◆ lacks true multiprocessor support.

◆ lacks commercial support.

◆ software performance (although various reviews have repeatedly shown that Python is comparable to Java in most applications).

Of course, the lack of commercial support is a problem for most open source technologies. For Python, he couldn't find a way to cope with the situation for the time being. However. Recently, some European companies that follow Python have formed a new business group, and perhaps this move marks a new stage in the development of Python (please refer to the website of Python Business Forum).

Most development managers know very little about Python. In the high-pressure environment of modern IT field, project managers' lack of understanding of Python and its tools and their lack of knowledge of software development have naturally become a dead point for Python to be accepted.

After all, CIO or development executives are under heavy pressure to successfully complete development tasks in the end. Under the reality that there is a lack of concrete and attractive evidence of possible benefits, most development managers prefer what they know. So it's not surprising that few people know about Python. The limitations of the database access layer look too primitive compared to existing mature technologies, such as ODBC and JDBC,Python. Although this aspect is also changing.

However, the development department needs to smoothly join existing complex legacy data, as well as fast SQL database access, all of which make it difficult to show too much interest in Python in a short period of time. Creating a graphical user interface for a Python application is not necessarily complicated. Tk, included with the Python distribution, is the most commonly used tool for Python developers. But Tk lacks accessible and easy-to-use GUI tools.

Although the newly launched PythonCard project is still in the prototype stage, it may bridge this gap in the future. Boa-constructor has attracted some Python programmers, but it's too complicated to use it to create a fully functional IDE.

What is more fatal than the lack of GUI tools is that Python has few protocol tools to support team development. Java is quite rich in these tools, at least comparable to C++. In the enterprise software development market, this defect can be seen as a fatal issue. It is almost impossible for many programmers to work on the same project without such tools.

Python reduces this need with features such as modularity and namespace analysis, which make it impossible for multiple programmers to develop projects where code conflicts can occur. However, this also does not change the seriousness of its lack of collaborative performance.

The above is a brief analysis of Python applications. Have you learned any knowledge or skills? If you want to learn more skills or enrich your knowledge reserve, you are welcome to follow the industry information channel.

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