This article shares a detailed introduction to the ternary operator in Python
python does not have a ternary descriptor, but it can be implemented through simulation.
One of them is:
(X and V1) or V2
Normally there will be no error, but the article also mentioned that when V1="" , there will be problems
such as
print (True and '') or 'V'
print (False and '') or 'V'
The output is always: V
The perfect solution is mentioned in "Python Core Programming":
The original text is as follows:
If you come from the C/C++ or Java world, then it is difficult for you to ignore the fact that Python has been used for a long time
There is no conditional expression(C ? X : Y), or ternary operation operator. (C is a conditional expression; Y is the result when C is False) Guido van Rossum has always refused to add such a feature because he believes that the code should be kept simple so that programmers are less likely to make mistakes. However, more than ten years later, He gave up, mainly because people tried to simulate it using
and and or, but mostly got it wrong. According to the FAQ, the correct way (and not the only one) is
(C and [X] or [ Y])[0] . The only problem is that the community doesn't agree with this syntax. (You can take a look at PEP 308, which
has a different approach.) People have expressed a lot of opinions about this problem in Python
Guido van Rossum finally chose the most promising (and his favorite) solution, and then applied it to some modules in the standard library. According to the PEP, "This The review examined a large number of real-world cases, including different applications, and code completed by different
programmers." Finally, the syntax of Python 2.5 integration was determined to be: X if C else Y .
As above As mentioned, this syntax was only added in Python 2.5, but since 2.4 and previous versions are not usually used, it is enough~
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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.

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