Shulou(Shulou.com)06/02 Report--

How to analyze Python applications, in view of this problem, this article introduces the corresponding analysis and solutions in detail, hoping to help more partners who want to solve this problem to find a more simple and feasible way.

When you first learn the Python language, it may not be complicated for developers to create a graphical user interface for Python applications. Tk, which comes with the Python distribution, is the most commonly used tool for Python developers, and boa-constructor has attracted the attention of some Python programmers.

Such as dictionaries, lists, etc., make it very easy to use, programmers can learn in an afternoon, ordinary people can also master it in a week. Python has the characteristics of most object-oriented languages and can be completely object-oriented programming. It can run on many kinds of OS, such as MS-DOS, Windows, Windows NT, Linux, Soloris, Amiga, BeOS, OS/2, VMS, QNX and so on.

Python can be used as a batch language, write some simple tools, process some data, and debug the interface of other software. Python language can be used as a functional language to develop artificial intelligence programs and has most of the functions of Lisp language.

Python language can be used as a process language for our common application development, and it can be used the same as VB and other languages. Python can be used as an object-oriented language. With the characteristics of most object-oriented languages, it is often developed as a prototype of large-scale application software, then rewritten with C++, and some are developed directly with Python.

Python is also good at databases and can connect to a variety of databases for data processing, from commercial databases to open source databases. For example: Oracle,Ms SQL Server and so on. There are several interfaces that can connect to the database, including at least ODBC. There are many companies that adopt the Python+MySql architecture. Therefore, mastering Python enables you to take full advantage of object-oriented features and add power in database processing.

Python applications can be used not only on Unix-type operating systems, but also on Windows systems. By adding a PythonWin module. You can call and establish a variety of resources in the form of COM, including calling the registry, ActiveX controls and a variety of COM work. The most common example is the processing of Office documents through programs to automatically generate documents and charts.

With Python, you can also use the py2exe module to generate exe applications. There are many other day-to-day maintenance and management tasks that can also be assigned to Python to reduce the workload of maintenance. With Python, you can also develop GUI programs like VB,VC,Delphi, but they can be executed on multiple platforms. This is not inferior to Java in many ways.

Using PIL, Piddle, ReportLab and other modules, you can process images, sound, video, animation, etc., so as to add brilliance to your program. The generation of dynamic charts and statistical analysis of charts can be done through Python. In addition, there is OpenGL. With the PyOpenGl module, you can write 3D scenes very quickly.

Python applications can be embedded in other applications, and extension modules can also be written through C + +, which can improve the running speed of the program or complete the work that can only be done through C + +. Now Python can be combined with C # and integrated into Visual Studio to realize Microsoft's .net idea. If you can speak C and then learn Python, it will be a great choice.

This is the answer to the question about how to analyze the Python application. I hope the above content can be of some help to you. If you still have a lot of doubts to solve, you can follow the industry information channel to learn more about it.

Welcome to subscribe "Shulou Technology Information " to get latest news, interesting things and hot topics in the IT industry, and controls the hottest and latest Internet news, technology news and IT industry trends.