1. What is a variable?
The variable name is only defined the first time it appears (the variable name appears again, not to define the variable, but to use it directly Previously defined variables)
2. Definition of variables
In python, each variable must be assigned a value before use. The variable will not be created until the variable is assigned a value
The equal sign (=) is used to assign values to variables
=The left side is a variable name
=The right side is the value stored in the variable
Variable name = value
After the variable is defined, you can use it directly later
The naming of the variable
1. Identifiers and keywords
Identifier
The identifier is the variable name defined by the programmer. The function name
The name needs to have a well-known effect
The identifier can be composed of letters , composed of underscores and numbers
cannot start with a number
cannot have the same name as a keyword
Keyword
The keyword is Identifiers already used within Python
Keywords have special functions and meanings
Developers are not allowed to define identifiers with the same name as keywords
Through the following The command can view the keywords in python
The import keyword can import a tool package
Different tool packages in python provide different tools
2. Variables Naming rules
Naming rules can be regarded as a convention, there is no absolute or mandatory
The purpose is to increase the recognition and readability of the code
Note: python The identifiers in are case-sensitive
When defining variables, in order to ensure the code format, a space should be reserved on the left and right sides of =
In python, if the variable name needs to be composed of two It consists of one or more words and can be named in the following way (commonly used in python)
Use lowercase letters for each word
Use _underscores to connect words between words
For example: first_name, last_name….
Camel case naming method: (commonly used naming methods in other languages)
When the variable name is composed of two or more words, you can also use the camel case command Fa Lai Naming
Little camel case naming method
The first word starts with a lowercase letter, and the first letter of subsequent words is capitalized
firstName lastName
Big camel case nomenclature
The first letter of each word is capitalized
FirstName LastName
Related recommendations: "PythonTutorial》
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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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