Home Backend Development Python Tutorial A deep dive into the definition and specification of Python identifiers

A deep dive into the definition and specification of Python identifiers

Dec 29, 2023 am 08:34 AM
definition rule python identifier

A deep dive into the definition and specification of Python identifiers

In-depth understanding of the definition and rules of Python identifiers requires specific code examples

Python is a concise and powerful programming language with a wide range of application fields. In Python programming, identifiers play a vital role. This article will delve into the definition and rules of Python identifiers and provide specific code examples to help readers better understand and apply them.

First, let’s understand the definition of Python identifiers. In Python, an identifier can be the name of a variable, function, class, module, etc. Identifiers consist of letters, numbers, and underscores, and must begin with a letter or underscore. Identifiers are case-sensitive in Python, so "name" and "Name" are two different identifiers.

Next, let’s learn more about the rules of Python identifiers. First, identifiers cannot duplicate Python keywords. Python's keywords are reserved names with special meanings and uses, such as "if", "for", "while", etc. If we use keywords as identifiers, it will result in a syntax error.

Secondly, Python identifiers cannot contain spaces, special characters, or punctuation marks. Can only consist of letters, numbers and underscores. For example, "hello_world", "myVariable", "number1", etc. are all valid identifiers. "Hello world", "my-variable", "number$", etc. are all invalid identifiers.

In addition, the length of Python identifiers is also limited. They cannot exceed 255 characters. Although Python identifiers have a large length limit, identifiers that are too long may affect the readability and maintainability of the code. Therefore, when naming variables, functions, and classes, it is recommended to choose concise and descriptive identifiers.

Below we use specific code examples to further understand the definition and rules of Python identifiers.

# 定义一个变量
number = 10

# 定义一个函数
def print_hello():
    print("Hello, world!")

# 定义一个类
class Circle:
    def __init__(self):
        self.radius = 0
    
    def calc_area(self):
        area = 3.14 * self.radius * self.radius
        return area

# 调用函数和类,并使用变量
print_hello()
c = Circle()
c.radius = 5
print("圆的面积为:", c.calc_area())
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In the above code example, we defined a variable "number", a function "print_hello" and a class "Circle". These identifiers comply with the definitions and rules of Python identifiers. We verify the correctness of the code by calling functions and classes and using variables.

To sum up, Python identifiers play a very important role in programming. Understanding the definitions and rules of Python identifiers can help us better name variables, functions, and classes, and improve the readability and maintainability of the code. I hope that the detailed explanation and specific code examples in this article will be helpful to readers and deepen their understanding and application of Python identifiers.

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