View various features of Python applications

As an entry-level language, a Python application most people regard it as an object-oriented support by default, and think it is an extension of C language, python applications and C are completely different languages.

Python is an interactive, object-oriented programming language that includes modular operations, exception handling, dynamic data forms, and a very high-level dynamic data structure, and category usage. Python integrates simple syntax and powerful functions.

Its syntax is easy to read. It has many excellent scripting languages: Explanatory, object-oriented, built-in high-level data structure, supporting modules and packages, supporting multiple platforms and scalability. It also supports interactive and graphical operations.

It has many programming interfaces supporting various operating system platforms and various function libraries. C and C ++ can be used to expand it. Some application software can also be used as an extension language if you need a programmable interface. Finally, Python is highly portable: it can run on many Unix platforms, on Mac, MS-DOS, Windows, Windows NT, OS/2, BeOS, and RISCOS have related Python versions.

The Python app website is: http://www.python.org/, where you can find a lot of information. If you use Python for the first time, you can download a try. Currently, Python has hundreds of thousands of public resources available for you to call. Python can be used in many occasions. When you need a lot of dynamic adjustments, it is easy to use, powerful and flexible, Python can play a very good role.

In a macro programming language, you can use Python to add a macro language or scripting capability to an existing application. After a little training, it makes user-level preparation easy. Developing a new language is often considered an exclusive patent for large companies. Python is a macro language that you can add to your existing tools and is suitable for users of different levels.

It takes a lot of time to develop software using a rapid prototype development tool for object models and algorithms. Creating objects in Python allows you to use shorter code and less time than any language we know, and supports inheritance, sealing, and polymorphism.

A popular method is to create a program in Python until you believe that the design is correct and switch to C ++. A better way is to profile the Python application, then rewrite the crucial part in C ++. New programs and code libraries of a debugging tool need to be tested. Experienced developers know that creating a test suite for a new function or program saves time and reduces the trouble.

If a program can work with an input/output file, Python can generate an input, run the program, and check the output for analysis. If the problem is data, you can write a one-time script to check whether the data is consistent.

Data clearing and conversion you may move data from a database to a new database, or create a new interface to allow data to flow in incompatible systems. If you do it manually, it will be a very tedious and easy process to make mistakes. You will always miss things and you will have to redo your previous work in the end. Python's local support for lists and dictionaries makes it easier to convert complex data.

In addition, this interactive mode allows programmers to watch data at every stage of the conversion process. You can also write a script for data conversion from the source to the target and run it as needed until it completes the work correctly. Python, as a system with incompatible adhesives, is 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.

The Python application can run in command line or interactive mode, and 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.

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