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This article will explain in detail how Python writing skills are, and the content of the article is of high quality, so the editor will share it for you as a reference. I hope you will have a certain understanding of the relevant knowledge after reading this article.

Python's share in the programming field has been steadily increasing. According to * * data, Python ranks sixth. With such a development trend, Python must not be inferior to programming languages such as C, C++ and JAVA. Here are some Python writing skills.

Python is the most easy-to-use and fast combination of languages I've ever seen, and it gains higher programming efficiency by losing a little bit of speed that is often negligible, which is why I chose Python. Only by focusing on the problem to be solved and choosing the right language can you focus your limited energy on the problem that needs to be solved the most. Different languages have different functions, and C and assembly are suitable for writing system software.

If you use them to write enterprise applications, I am afraid that few people can be handy. I met a brother who wrote a database program with a collection before, although the most basic function was completed. But he couldn't cope with adding a preview of the report. Smart programmers use the right tools to complete tasks, and it is impossible to find a key.

Python's automatic garbage collection mechanism is a basic feature of advanced programming languages. Programmers usually don't have to worry about memory leaks when programming in languages with this function, but this is one of the most important but error-prone problems that need to be carefully considered when we write programs.

Data structure is an important part of the program, linked lists, trees, graphs, which need to be carefully expressed in C programming, are much simpler in Python. In Python. The most basic data structures are arrays, sequences, and hash tables, and it is very easy to express a variety of common data structures with them. Without the task of defining pointers and allocating memory, programming becomes interesting.

CORBA is a high-level software architecture that is language-independent and platform-independent. C++, Java and other languages all have CORBA binding, but compared with them, Python's CORBA binding is much easier, because from the programmer's point of view, a CORBA class is no different from Python's class to use and implement.

Without the hassle of complex architectures, it becomes easier to write CORBA programs in Python. If you want to use good steel on the cutting edge, if you want to complete as many tasks as possible in a limited time, you have to throw away all kinds of irrelevant problems, and Python provides this method.

Cross-platform and easy to expand

With the continuous maturity of Linux, more and more people turn to work on the Linux platform, software developers naturally hope that the software they write can run on all platforms. Writing slogans that run everywhere at once makes Java a model for cross-platform development tools.

But its running speed is not favored by people. In fact, almost all famous scripting languages are cross-platform, and Python is no exception. Python supports not only various Linux/Unix systems, but also Windows, and even Python programs can be run on Palm.

If a program wants to work across platforms, it needs not only the language itself to be compatible between platforms, but also a Widget that can work across platforms in the era of graphical interface. Python supports not only older TK, but also new GTK+, QT, and wxWidget, all of which can work on multiple platforms. Through them, programmers can write beautiful cross-platform GUI programs.

Python usually runs between native code and script code. Programmers can write a variety of modules for Python with CpicCymb +, which not only allows programmers to use the various services of the system and excellent function libraries and class libraries written with Python +, but also greatly improves the speed of Python programs.

It is not complicated to write the modules of Python in C _ +, and to simplify this work, many tools have been made to assist this work. Because of this, all kinds of commonly used function libraries and class libraries now have bindings in Python language, and there are more and more things that can be done with Python.

Python is powerful, but it is not *. If you are going to write an operating system or driver, it is obvious that Python cannot do it. To write software. No tool is unique, and there are so many programming languages today because different languages are suitable for doing different things. Therefore, it is most important to choose the language tool that suits you.

It is generally believed that Python is an interpretive language, but this is not true. In fact, when Python executes, it first compiles the source code in the .py file into Python's byte code (bytecode), and then Python Virtual Machine executes these compiled byte code. The basic idea of this mechanism is the same as that of Java,.NET. However, unlike the Virtual Machine of Java or .NET, Python's Virtual Machine is a more advanced Virtual Machine.

The advanced here is not the advanced in the usual sense, not that Python's Virtual Machine is more powerful than Java or .NET, but that Python's Virtual Machine is farther from the real machine than Java or .NET. Or it can be said that the Virtual Machine written by Python is a higher level of abstraction Virtual Machine.

About how the Python writing skills are shared here, I hope the above content can be of some help to you, can learn more knowledge. If you think the article is good, you can share it for more people to see.

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