In this article, let’s take a look at the modules in the python programming language. Friends who have just come into contact with this language may not understand what the concept of modules in Python means. So this article will introduce you to the module. We first need to know what python modules are, and then we need to know how python modules are used. Only by knowing these two concepts can we begin to understand and use modules.
Python module:
Python module (Module) is a Python file, ending with .py, containing Python object definitions and Python statements. Modules allow you to organize your Python code snippets logically. Assigning related code to a module can make your code more usable and easier to understand. Modules can define functions, classes and variables, and modules can also contain executable code. The following example is a simple module support.py:def print_func( par ): print "Hello : ", par returnNext let’s talk about the introduction of the
module
import module1[, module2[,... moduleN]For example, if you want to reference the module math, you can use import math at the beginning of the file. When calling functions in the math module, they must be quoted like this:
模块名.函数名When the interpreter encounters an import statement, the module will be imported if it is in the current search path. The search path is a list of all directories that the interpreter will search first. If you want to import the module support.py, you need to put the command at the top of the script:
#!/usr/bin/python # -*- coding: UTF-8 -*- # 导入模块 import support # 现在可以调用模块里包含的函数了 support.print_func("Runoob")The above example output result:
Hello : Runoob
(A module will only be imported once, regardless of How many times have you executed the import. This can prevent the imported module from being executed over and over again.)
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Python and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.

Choosing Python or C depends on project requirements: 1) If you need rapid development, data processing and prototype design, choose Python; 2) If you need high performance, low latency and close hardware control, choose C.

By investing 2 hours of Python learning every day, you can effectively improve your programming skills. 1. Learn new knowledge: read documents or watch tutorials. 2. Practice: Write code and complete exercises. 3. Review: Consolidate the content you have learned. 4. Project practice: Apply what you have learned in actual projects. Such a structured learning plan can help you systematically master Python and achieve career goals.

Methods to learn Python efficiently within two hours include: 1. Review the basic knowledge and ensure that you are familiar with Python installation and basic syntax; 2. Understand the core concepts of Python, such as variables, lists, functions, etc.; 3. Master basic and advanced usage by using examples; 4. Learn common errors and debugging techniques; 5. Apply performance optimization and best practices, such as using list comprehensions and following the PEP8 style guide.

Python is suitable for beginners and data science, and C is suitable for system programming and game development. 1. Python is simple and easy to use, suitable for data science and web development. 2.C provides high performance and control, suitable for game development and system programming. The choice should be based on project needs and personal interests.

Python is more suitable for data science and rapid development, while C is more suitable for high performance and system programming. 1. Python syntax is concise and easy to learn, suitable for data processing and scientific computing. 2.C has complex syntax but excellent performance and is often used in game development and system programming.

It is feasible to invest two hours a day to learn Python. 1. Learn new knowledge: Learn new concepts in one hour, such as lists and dictionaries. 2. Practice and exercises: Use one hour to perform programming exercises, such as writing small programs. Through reasonable planning and perseverance, you can master the core concepts of Python in a short time.

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.


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