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What is the modular programming of Python? I believe many inexperienced people don't know what to do about it. Therefore, this paper summarizes the causes and solutions of the problem. Through this article, I hope you can solve this problem.

Python provides strong module support, mainly reflected in that not only the Python standard library contains a large number of modules (called standard modules), but also a large number of third-party modules, developers can also develop custom modules. Through these powerful modules, the development efficiency of developers can be greatly improved. So, what exactly does the module mean? Module, English for Modules, as for what the module is, can be summarized in one sentence: the module is the Python program. In other words, any Python program can be used as a module, including all Python programs written in the previous section. The module can be compared to a box of building blocks, through which you can spell out toys with a variety of themes, unlike the functions described earlier, a function is only equivalent to a building block, while a module (.py file) can contain multiple functions, that is, many building blocks.

The relationship between module and function

After previous study, readers have been able to write Python code into a file, but with the complexity of the program function, the program volume will continue to grow, in order to facilitate maintenance, it is usually divided into multiple files (modules), which can not only improve the maintainability of the code, but also improve the reusability of the code.

The reusability of the code is reflected in that when a module is written, as long as some function in the module (implemented by variables, functions, classes) is needed in the programming process, there is no need to do repetitive writing work. directly import the module in the program to use this function.

We talked about encapsulation earlier, and also introduced many structures with encapsulation characteristics, for example: many containers, such as lists, tuples, strings, dictionaries, etc., which are all encapsulation of data; functions are encapsulation of Python code; classes are encapsulation of methods and properties, or functions and data. The module introduced in this section can be understood as a more advanced encapsulation of the code, that is, the code that can achieve a particular function is written in the same .py file and regarded as a separate module, which not only facilitates the import and use of other programs or scripts, but also effectively avoids conflicts between function names and variable names. To take a simple example, create a file called hello.py in a directory (or on the desktop) with the following code: defsay (): print ("Hello,World!") In the same directory, create another say.py file that contains the following code: # through the import keyword, introduce the hello.py module into this file importhellohello.say () to run the say.py file, and the output is as follows:

Hello,World!

Readers may notice that the say.py file used in the original hello.py file only the say () function, relative to day.py, hello.py is a custom module (about custom modules, subsequent chapters will explain in detail), we only need to import the hellp.py module into the say.py file, you can directly use the resources in the module in the say.py file. At the same time, when calling the say () function in the module, the syntax format is "module name. function", this is because, relative to the say.py file, the code in the hello.py file has its own namespace, so when calling functions in other modules, you need to clearly indicate the source of the function, otherwise the Python interpreter will report an error.

After reading the above, have you mastered the method of modular programming of Python? If you want to learn more skills or want to know more about it, you are welcome to follow the industry information channel, thank you for reading!

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