


How to use global variables in Python where global variables are not created
In Python, when a variable is referenced, the search for the variable is based on local scope (Local), nested scope (Enclosing function locals), and global scope. It is carried out in the order of domain (Global) and built-in scope (builtins module), which is the so-called LEGB rule. That is, the order in which python refers to variables: current scope local variables -> outer scope variables -> global variables in the current module -> python built-in variables.
However, when assigning a value to a variable inside a function, it does not follow the LEGB rules mentioned above to first find the variable and then assign a value to the variable. In Python, when assigning a value to a variable in a function, there is the following rule: "When assigning a value to a variable name in a function (rather than referencing it in an expression), Python always creates or changes The variable name of the local scope, unless it has been declared as a global variable in that function. ”
golbal global variables and nonlocal local variables in python
global key Words are used to use global variables in functions or other local scopes.
gcount = 0 #定义了一个全局变量,(可以省略global关键字) def global_test(): print (gcount) #不修改,只是引用全局变量,不使用global关键字 def global_counter(): global gcount gcount +=1 #修改全局变量,需要使用global关键字 return gcount
Output
1
2
3
nonlocal keyword is used in Use outer (non-global) variables in functions or other scopes.
def make_counter(): count = 0 #定义一个局部变量,该局部变量作用范围在make_counter()方法内 def counter(): nonlocal count #在方法counter()中使用外层局部变量 count count += 1 return count return counter def make_counter_test(): mc = make_counter() print(mc()) print(mc()) print(mc()) make_counter_test()
Output
3
The above is the detailed content of How to use global variables in Python where global variables are not created. For more information, please follow other related articles on the PHP Chinese website!

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.


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Dreamweaver CS6
Visual web development tools

SAP NetWeaver Server Adapter for Eclipse
Integrate Eclipse with SAP NetWeaver application server.

MantisBT
Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

Zend Studio 13.0.1
Powerful PHP integrated development environment

PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool