It is also important to learn to add necessary comments to the program. Comments can not only be used to explain the role and function of certain parts of the program (describing the function of the code in natural language), but can also temporarily remove the code when necessary, which is a good helper for debugging the program.
Of course, the biggest effect of adding comments is to improve the readability of the program! Many times, I would rather write an application myself than improve other people's code. The lack of reasonable comments is an important reason. (Recommended learning: Python video tutorial)
Although good code can stand on its own, we never know who will read this code in the future and whether he is related to you. Same idea. Or after a period of time, you may not know the purpose of writing this code at that time.
In general, once a certain part of the program is commented out, it will be ignored by the Python interpreter. In other words, this part of the program will not be executed.
Generally speaking, reasonable code comments should account for about 1/3 of the source code. The Python language allows null characters or comments to be inserted anywhere except between identifiers and strings.
Comments in Python include single-line comments and multi-line comments.
Introducing single-line comments here:
Single-line comments in Python begin with #, that is, starting from the symbol '#' and ending at the newline. Part of the content is used as comment content. When the program is executed, this part of the content will be ignored.
For example:
# 这是一个注释print ("Hello, World!")
can also be the right side of the comment code, for example:
print ("Hello World!") #这是一行简单的注释
Based on the role of comments in the program, Although the placement locations of the above two methods are different, the execution result of the program is the same, both output "Hello World!".
For more Python related technical articles, please visit the Python Tutorial column to learn!
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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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