Detailed explanation of the ternary operation in Python
What is the ternary operator
In most programming languages, there are ternary operations, also called ternary operations. The Python language has evolved from Python2. Starting from version 5, the ternary operator was also introduced.
In Python, ternary operations are also called conditional expressions. The syntax is as follows:
true_expression if condition else false_expression
condition is the judgment condition, true_expression and false_expression are two expressions, connected with if…else….
If the condition is true (the result is true), execute true_expression and use the result of true_expression as the result of the entire expression.
If the condition is not true (the result is false), execute false_expression and use the result of false_expression as the result of the entire expression.
The ternary operator in Python is connected with if and else, unlike Java and other languages that use question marks and colons to connect.
For example:
num1 = int(input('请输入第一个数字:')) num2 = int(input('请输入第二个数字:')) # 三元运算 max_num = num1 if num1 >= num2 else num2 print(f'最大值是:{max_num}')
Output:
请输入第一个数字:15646 请输入第二个数字:464665 最大值是:464665
In the above example, if num1 is greater than or equal to num2, then max_num is equal to num1, otherwise max_num is equal to num2, through ternary operation The operator finds the maximum of two numbers.
The difference between ternary operation statements and conditional statements
1.Ternary operation statements
numa = 100 numb = 10 max_num = numa if numa >= numb else numb print(f'最大值是:{max_num}')
2.Conditional statements
numa = 100 numb = 10 if numa >= numb: max_num = numa else: max_num = numb print(f'最大值是:{max_num}')
From the above comparison, The functions of the ternary operation statement and the conditional statement are exactly the same, but the ternary operation statement only requires one line of code, while the conditional statement has four lines of code. The ternary operation statement has less code and is more readable, so in most cases, it can be said that the ternary operation statement is the abbreviation of the conditional statement.
Nested ternary operation expression
num = int(input('请输入数字:')) print('负数') if str(num)[0] == '-' else print('大于等于100') if num >= 100 else print('小于100的正数')
The above line of code is a nested ternary operation expression, in which the statement after the first else is a complete ternary The operation statement is treated as a whole as the false_expression in the outer ternary operation expression, as shown in the figure below.
This expression is equivalent to the following conditional judgment code:
num = int(input('请输入数字:')) if str(num)[0] == '-': print('负数') else: if num >= 100: print('大于等于100') else: print('小于100的正数')
You can also continue to use the same method to nest more layers, but I personally recommend not to Write too much nesting, otherwise the readability of the code will be reduced instead of increasing, which is counterproductive.
Combination of ternary operation expressions and list derivation expressions
s = [i if i % 2 == 0 else 10*i for i in range(10)] print(s)
Output:
[0, 10, 2, 30, 4, 50, 6, 70, 8, 90]
Of course, you can also combine ternary operation expressions with dictionary derivation expressions and sets Derivation and other combinations are used. For more derivation, please refer to: Python list comprehension
Advantages of ternary operation expressions
Ternary operation expressions in Python have two main advantages:
1. You can replace simple conditional statements with single-line ternary arithmetic expressions to reduce the number of lines of code.
2. Simple ternary operation expressions can improve the readability of the code, making the code more Pythonic and elegant.
The above is the detailed content of How to use the ternary operator in Python?. For more information, please follow other related articles on the PHP Chinese website!

Is it enough to learn Python for two hours a day? It depends on your goals and learning methods. 1) Develop a clear learning plan, 2) Select appropriate learning resources and methods, 3) Practice and review and consolidate hands-on practice and review and consolidate, and you can gradually master the basic knowledge and advanced functions of Python during this period.

Key applications of Python in web development include the use of Django and Flask frameworks, API development, data analysis and visualization, machine learning and AI, and performance optimization. 1. Django and Flask framework: Django is suitable for rapid development of complex applications, and Flask is suitable for small or highly customized projects. 2. API development: Use Flask or DjangoRESTFramework to build RESTfulAPI. 3. Data analysis and visualization: Use Python to process data and display it through the web interface. 4. Machine Learning and AI: Python is used to build intelligent web applications. 5. Performance optimization: optimized through asynchronous programming, caching and code

Python is better than C in development efficiency, but C is higher in execution performance. 1. Python's concise syntax and rich libraries improve development efficiency. 2.C's compilation-type characteristics and hardware control improve execution performance. When making a choice, you need to weigh the development speed and execution efficiency based on project needs.

Python's real-world applications include data analytics, web development, artificial intelligence and automation. 1) In data analysis, Python uses Pandas and Matplotlib to process and visualize data. 2) In web development, Django and Flask frameworks simplify the creation of web applications. 3) In the field of artificial intelligence, TensorFlow and PyTorch are used to build and train models. 4) In terms of automation, Python scripts can be used for tasks such as copying files.

Python is widely used in data science, web development and automation scripting fields. 1) In data science, Python simplifies data processing and analysis through libraries such as NumPy and Pandas. 2) In web development, the Django and Flask frameworks enable developers to quickly build applications. 3) In automated scripts, Python's simplicity and standard library make it ideal.

Python's flexibility is reflected in multi-paradigm support and dynamic type systems, while ease of use comes from a simple syntax and rich standard library. 1. Flexibility: Supports object-oriented, functional and procedural programming, and dynamic type systems improve development efficiency. 2. Ease of use: The grammar is close to natural language, the standard library covers a wide range of functions, and simplifies the development process.

Python is highly favored for its simplicity and power, suitable for all needs from beginners to advanced developers. Its versatility is reflected in: 1) Easy to learn and use, simple syntax; 2) Rich libraries and frameworks, such as NumPy, Pandas, etc.; 3) Cross-platform support, which can be run on a variety of operating systems; 4) Suitable for scripting and automation tasks to improve work efficiency.

Yes, learn Python in two hours a day. 1. Develop a reasonable study plan, 2. Select the right learning resources, 3. Consolidate the knowledge learned through practice. These steps can help you master Python in a short time.


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Safe Exam Browser
Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.

WebStorm Mac version
Useful JavaScript development tools

SAP NetWeaver Server Adapter for Eclipse
Integrate Eclipse with SAP NetWeaver application server.

MinGW - Minimalist GNU for Windows
This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

Atom editor mac version download
The most popular open source editor