This article brings you a brief introduction to Python line structure and indentation. It has certain reference value. Friends in need can refer to it. I hope it will be helpful to you.
Line structure
Every statement in a Python program ends with a newline character. Use the line continuation character () to divide a long statement into several lines, as shown below:
x=math.cos(3*(x-n))+\ math.sin(3*(y-n))
In addition, the line continuation character does not need to be used for the definition of triple-quoted strings, lists, tuples, and dictionaries.
Generally speaking, any program part contained in parentheses (), square brackets [ ], curly brackets { } or triple quotes can be placed on multiple lines without using line continuation characters.
Indentation
Indentation is used to indicate different blocks of code, such as functions, conditional statements, loops, and the main body of a class.
The indentation amount of the first statement in the code block can be arbitrary, but the indentation of the entire code block must be consistent, for example:
if a: statement1 statement2 #缩进一致,正确 else: statement3 statement4 #缩进不一致,错误
If a function, conditional statement, loop or The subject of a class is relatively short and contains only one statement. It can be placed on the first line, for example:
if a: statement1 else: statement2
To identify an empty topic or code block, you can use the pass statement, for example:
if a: pass else: statement
Although tabs can be used instead of indentation, it is better to use spaces to avoid unknown errors.
Like Java, Python can also add; as a separator after the statement, but this is not necessary in Python, unless you plan to write multiple statements in one line, separate them with;.
# indicates that this line is followed by a comment.
Unless in interactive mode (in interactive mode, blank marks the end of input), the parser will ignore all blank lines, so for the sake of beautiful code, it should be blank.
Related recommendations:
Introduction to Python basic indentation and selection
Python for loop statement structure and usage examples (picture)
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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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