The
operator is a commonly used half-width symbol used to perform programming, perform calculations of four arithmetic operations, and compare sizes. There are different types of operators in Python. Let’s take a closer look at how to use operators in Python.
Let’s first take a look at several operators in Python
Algebraic operators
Algebraic operations Symbols refer to the operations used in calculations represented by the four arithmetic operations.
It is similar in name to the assignment operator, but it is an algebraic operator.
+, -, *, /, %, **, //
Bit operators
Bit operators are operators that perform bitwise operations on integers
~, &, |, ^, <<, >>
Assignment operators
Assignment operators are operators used to assign values to variables, arrays, etc.
It is similar in name to the algebraic operator, but it is an assignment operator.
=, +=, -=, *=, /=, %=, **=, //=, &=, |=, ^=, <<=, >>=
Comparison operators
Comparison operators are operators used to compare lvalues and rvalues.
==, !=, <, >, <=, >=, <=>, ===
Logical operators
Logical operators (also known as Boolean operators) are usually used in conditional expressions of if statements. In conditional expressions Mainly returns true or false.
and, or, not
String operations
String operators manipulate strings. The number of characters when added starts from 0 characters. To start operating from the end of a character, specify a negative value.
+, *, [n:m]
Let’s take a look at How to use Python operators
Let’s take a look at specific examples
Assignment operator example
a = 10.0 b = 3 print(a+b) print(a-b) print(a*b) print(a/b) print(a%b) print(a**b) print(a//b)
The running results are as follows:
13.0 7.0 30.0 3.33333333333 1.0 1000.0 3.0
Analysis:
In the first and second lines , assign the floating point number 10.0 to variable a, and assign the integer 3 to variable b.
Use print statements to display calculation results.
Examples of comparison operators
if 0 == 1: print("相同") else: print("不相同)
Running results:
不相同
Analysis:
The if statement is used to determine the numbers 0 and 1 is the same or different.
We use comparison operator == for comparison.
Since 0 and 1 are different numbers, the display result is "not the same"
Example of string operation
a = "php中文网" b = "在线课程" print (a + b)
The displayed result is:
php中文网在线课程
Analysis:
The string "php Chinese website" is assigned to variable a.
For variable b, assign the value to "online course".
In the print statement on the third line, use string operators to combine variables a and b.
The result shows that the content that combines variable a and variable b is the string "php Chinese online course".
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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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