Introduction to four common tools in Python

The functions of Python are very powerful. It can call everything an object in actual operations. Of course, modules and packages in Python also have very powerful functions, the following is an introduction to the relevant content of the article. I hope you will gain some benefits.

Python as adhesive

Incompatible systems are often associated, and the process needs to be automated. Python supports all key integration technologies. It also works well with files, protocols, DLLs, and COM objects. Python also provides a wide range of libraries to help you get almost any type of data. It is also a good tool for controlling other suites, managing systems, and controlling data flows of other systems.

• Installation and configuration of Python scripts
• How to Implement Python in C
• Introduction to the hot discussion of the Python language in the development community
• Detailed expression of interesting syntax in Python
• The actual operations of the macro programming language in the Python Function

Running Mode

Python can be run in command line or interactive mode. It also has a graphical integration environment, which makes Python development quite convenient. Now, many visual programming software written in Python has been used to implement functions like Delphi.

Object-oriented

Python is a real object-oriented language. It even supports exception handling. If you have learned Java, you should be familiar with it. However, other scripting languages, such as PHP, do not seem to have any. This makes the compilation of the program clearer without many error checks.

Modules and packages

This is more like Java. For Java support, you can understand JPython. JPython is a Python written in Java. It fully supports Java. In this environment, you can use Java class libraries freely. Python extensions can use C, C ++, or Java to write new language modules, such as functions, for Python. It can be directly compiled with Python, or implemented using dynamic library loading.

Someone has also compiled a tool to automatically implement function Interface encapsulation for Python. This is SWIG (Simplified Wrapper and Interface Generator), or simple encapsulation and Interface Generator.

Interesting syntax

Guido believes that Python syntax is very elegant. One of them is that the block statement is not a {} pair commonly used in the C language, or another symbol pair, but uses the near representation! Interesting. In this regard, Guido's explanation is: first, using the near representation reduces visual confusion and shortens the program, in this way, the scope of attention to basic code units is reduced. Secondly, it reduces the degree of freedom of the programmer and is more conducive to unified style, making it easier to read other people's programs.

I think it is good. in C language, there are several kinds of braces behind the if statement. Different people like different things and it is better to unify them. After the definition of each class or function, the first line can be a description statement without the annotator mark. For the statement followed by the block statement, it should be followed by a colon.

A row of statements cannot be too long because there is no line terminator. If it is too long, use the line break (\). There are also some interesting examples, such as the following comparison processing, using the C language: if (2 can be expressed as if (2

What is Zope?

Zope is an open-source Web application server developed in Python. It allows you to easily build content management, intranets, portals, and other custom applications.

A highly object-oriented Web development platform developed in Python.

It can run on almost all popular operating systems and supports multiple Python languages.

It can be integrated into other popular servers and also comes with servers.

Provides clear data/logic/representation separation.

With scalable built-in objects and powerful integrated security modules.