Introduction to Python applications

To fully understand Python applications, you must understand the structure, statements, variables, functions, pre-processing commands, input and output of Python applications, to avoid using features that depend on specific operating systems, Python programs can run on various platforms without modification.

IT solutions that reduce the total cost of software should be carefully considered. A significant advantage of Python is that it can save a lot of money in the Software creation and maintenance phase of the enterprise, and the software costs in these two stages account for 50% to 95% of the total cost of the entire software lifecycle.

The clear and readable Syntax of Python makes the software code exceptionally easy to understand, and even the strong feeling for programmers who are not initially engaged in and developing the original project. Although some programmers oppose the extensive use of spaces in Python code, almost everyone acknowledges that the readability of Python code is far better than that of C or Java.

The latter two adopt special character mark code block structures, loops, functions, and other programming structures to start and end. Those who advocate Python also claim that using these characters may produce significant differences in programming style, making it difficult for those who are responsible for maintaining the code to read the code.

Python's clear syntax makes it a learning curve and programming language. Experienced programmers may even master the basic knowledge of Python within one day, but they will be able to get started after at most one week, programming Language experts will certainly be much faster than their knowledge of C, C ++, Java, and even Perl.

The biggest benefit of Python due to its clear syntax may be a significant reduction in development time. A developer engaged in enterprise-level application development told me that the development time of his unit was greatly reduced by the adoption of Python, but it did not bring any negative impact to the software performance. "As far as our business is concerned, developing new products quickly is much more important than developing software products with amazing performance, the development time is much more expensive than the software optimization in hourly calculation ).

It is always difficult to determine the criteria used for development speed. However, it is generally believed that the speed of developing Python applications is about 10 times faster than that of developing similar applications using Java. It will save more time than C/C ++.

Zope created using Python applications is the most widely used and understandable content management framework in the Open Source Field. This tool allows Python programmers to create and deploy highly interactive websites with less time than JSP/ASP. In this framework, website owners can easily modify website content without the intervention of programmers.

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. The current development of Zope mainly focuses on simplifying the development process and further separating the features from the content representation, thus increasing the Zope penetration rate again. Zope is also open source software like Python.

Zope does introduce a considerable amount of system load, which reduces the system performance during development, but some technologies can effectively minimize the problems encountered when deploying websites. When considering Enterprise Python applications, it is often ignored. This is the Python variant Jython. Jython is fully written in Java to achieve rapid development and application testing.

The development time of Java edit-compile-test is much lower than that of Java class library. Jython also tightly integrates Python applications and Java code, allowing both of them to take full advantage of each other's advantages. This is exactly one of the goals of Microsoft. NET's CLR technology, but today it has become a reality for Python.

Of course, the lack of commercial support is a problem faced by most open source technologies. For Python, I cannot find a proper method at the moment. However. Recently, some European companies that are concerned with Python have formed a new business group, which may mark a new stage of Python development. Please refer to the Python Business Forum website ).

1. Introduction to Python system files
2. How to correctly use Python Functions
3. Detailed introduction and analysis of Python build tools
4. Advantages of Python in PythonAndroid
5. How to Use the Python module to parse the configuration file?