


Detailed explanation of variable naming rules in Python language
Detailed explanation of Python language variable naming rules
As a widely used programming language, Python is concise and easy to read. Among them, variable naming rules are a must for developers. Important things to familiarize yourself with and follow. This article will explain the naming rules of Python language variables in detail and provide specific code examples.
- Basic rules for variable naming
In Python, variable naming needs to follow the following basic rules:
1.1 Can only consist of letters, numbers and underscores Composition;
1.2 It cannot start with a number;
1.3 It is case-sensitive, for example, the variable apple and the variable Apple are different;
1.4 You cannot use keywords in Python as variable names, such as if, for, etc. ;
1.5 Chinese characters can be used as variable names, but their use is not recommended to prevent encoding problems in other system environments;
1.6 Variable names should be descriptive to enhance code readability.
The following are several examples of variable naming that comply with the rules:
age = 18 name = 'Tom' is_student = True price_2 = 9.99
- Use underline naming
In Python, underline naming is variable naming common way. Underline nomenclature uses a combination of lowercase letters and underscores to make variable names more readable.
The following are several examples of variables using underscore nomenclature:
user_name = 'John' total_score = 95.5 is_valid = True
- Use camel case nomenclature
In addition to underscore nomenclature, camel case nomenclature It is also a naming method commonly used by Python developers. Camel case nomenclature is divided into two types: small camel case nomenclature and large camel case nomenclature.
3.1 Little camel case nomenclature
The little camel case nomenclature lowercases the first letter of the variable and capitalizes the first letter of each word.
The following are several examples of variables using small camel case naming:
userName = 'Lucy' totalScore = 85.5 isValid = True
3.2 Big camel case naming
Big camel case naming uses the first letter of each word of the variable All capitalized.
The following are several examples of variables using camel case naming:
StudentName = 'Mike' GradePointAverage = 3.8 IsPassed = True
- Notes
In Python, you need to pay attention to the following when naming variables Matters:
4.1 Variable names should be descriptive to enhance code readability;
4.2 Do not use a single character as a variable name, such as a, b, etc., unless in the case of temporary variables ;
4.3 Do not use Chinese pinyin to name variables to maintain code consistency;
4.4 Try to avoid using variable names that are too long to prevent the code from being too verbose.
The above is a detailed explanation of the naming rules of Python language variables, and provides specific code examples. I hope it will be helpful to everyone in the Python programming process. When naming variables, always follow the rules to write clearer and easier-to-understand code, improving code quality and maintainability.
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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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