Measure the test taker's knowledge about the Python programming language in a short time.

The biggest advantage of the Python programming language is that there is an interactive development environment. After all, Python is interpreted and run, which can greatly save time for each compilation. The Python syntax is simple, there are several built-in advanced data structures, such as wordcodes and lists.

Programmers can learn it in one afternoon, and the average person can master it within one week. Python has the characteristics of most object-oriented languages and can be fully object-oriented programming. It can run on MS-DOS, Windows, Windows NT, Linux, Soloris, Amiga, BeOS, OS/2, VMS, QNX, and other operating systems.

The Python programming language can be used as a batch processing language, write some simple tools, process some data, and debug as interfaces of other software. Python can be used as a function language for AI program development. It has most of the functions of the Lisp language.

The Python programming language can be used as a process language for common application development. It can be used in the same way as other languages such as VB. The Python programming language can be used as an object-oriented language. It has the characteristics of most object-oriented languages and is often used as a prototype development for large-scale application software.

Rewrite with C ++, and develop with Python directly. Python is also excellent in terms of databases. It can be connected 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 multiple interfaces that can be connected to the database, including at least ODBC. Many companies adopt the Python + MySql architecture. As a result, you have mastered Python so that you can take full advantage of the object-oriented features and become more powerful in database processing.

With PIL, Piddle, ReportLab, and other modules, You can process images, sounds, videos, and animations to add brilliant brilliance to your programs. You can use Python to generate dynamic charts and statistical analysis tables. In addition, there is OpenGL. With the PyOpenGl module, you can quickly compile 3D scenes.

The Python programming language can play a unique role in a wide range of scientific computing fields. There are many modules that can help you efficiently complete your work in computing giant arrays, vector analysis, neural networks, and other aspects. Especially in education and scientific research, it can exert its unique advantages. Python can easily implement GUI programming. By using Tkinter, wxPython, QT, and other modules, You can compile powerful cross-platform User Interface programs as needed.

If you have mastered Python and want to apply it in Java, you can use Jython. Jython is Python implemented in Java. In this way, you only need to follow the Python syntax to call various Java class libraries and quickly compile Java-based programs. That is, write Java programs through Jython. In this way, Java functions can be implemented more quickly. Python is similar to Java in object orientation.

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