Introduction to Python writing skills

Python's share in the programming field has been steadily rising. According to the latest data, Python ranks sixth. With this development trend, python is certainly not inferior to C, C ++, and JAVA programming languages. The following describes how to write Python.

Python is the most perfect combination of ease of use and speed in the languages I have seen. It achieves higher programming efficiency by losing a little bit of speed that is often negligible, this is why I chose Python. Focus on the problems you want to solve and select a proper language, so that you can focus on the problems you need to solve. Different Languages have different functions. C and assembly are suitable for compiling system software.

If you use them to write enterprise applications, I'm afraid few of them will be handy. I used to come across a guy who used to write database programs, even though the most basic functions have been completed. However, if you want to add a report preview or something, you cannot cope with it. Smart programmers use suitable tools to complete their tasks. It is impossible to find a universal key.

Python's automatic garbage collection mechanism is a basic feature of advanced programming languages. Programmers generally do not have to worry about memory leaks when programming in languages with this function, when we use C/C ++ to write a program, this is one of the most important issues that require careful consideration but are prone to errors.

The data structure is an important part of the program composition. The linked list, tree, and diagram are much simpler in Python than they need to be carefully expressed when programming in C. In Python. The most basic data structures are arrays, sequences, and hash tables. It is very easy to use them to express various common data structures. Programming becomes interesting without defining pointers and allocating memory tasks.

CORBA is an advanced software architecture that is independent of a language-independent platform. C ++, Java, and other languages all have CORBA bindings, but compared with them, Python's CORBA bindings are much easier, because in the programmer's opinion, there is no difference in the use and implementation of a CORBA class and a Python class.

Without the trouble of complicated architecture, it is also easy to write a CORBA program using Python. Good steel should be used in the cutting edge. If you want to complete as many tasks as possible with limited time, you must discard all kinds of irrelevant problems. Python just provides this method.

Cross-platform and scalable

As Linux continues to mature and more people turn to the Linux platform for work, software developers naturally want their own software to run on all platforms. The slogan of a Java program running everywhere makes it a model for cross-platform development tools.

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

To work across platforms, a program requires not only the language itself to be compatible between platforms, but also widgets that can work across platforms in the era of graphical interfaces. Python not only supports older TK, but also supports new GTK +, QT, and wxWidgets. These Widgets can work on multiple platforms. With these tools, programmers can write beautiful cross-platform GUI programs.

Python is usually run between native code and script code. programmers can use C/C ++ to write various modules for Python, this not only allows programmers to use various system services in Python mode, but also excellent function libraries and class libraries written in C/C ++. It also greatly improves the speed of Python programs.

Writing Python modules in C/C ++ is not complicated. In order to simplify this work, many tools have been created to help. Because of this, various common function libraries and class libraries are bound to the Python language, and more things can be done with Python.

Python is powerful, but it is not omnipotent. If you want to write an operating system or driver, it is clear that Python cannot. Write software. No tool is omnipotent. Now there are so many programming languages because different languages are suitable for different things. Therefore, it is most important to select a language tool that suits you.

It is generally considered that Python is an explanatory language, but this statement is incorrect. In fact, when Python is executed. the source code in the py file is compiled into the byte code bytecode of Python) and then the compiled byte code is executed by the Python Virtual Machine. The basic idea of this mechanism is as follows ,.. NET. However, Python Virtual Machine is consistent with Java or. NET Virtual Machine is different, Python Virtual Machine is a more advanced Virtual Machine.

The level here is not generally advanced, not to say that Python's Virtual Machine is better than Java or. NET is more powerful than Java or. NET, Python's Virtual Machine is far from the real Machine. Alternatively, the Virtual Machine written in Python is a Virtual Machine with a higher abstraction level.

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