Home Backend Development Python Tutorial Uncovering the secrets of Python syntax: from novice to master

Uncovering the secrets of Python syntax: from novice to master

Feb 20, 2024 pm 09:24 PM
type of data process control Operator classes and objects

揭秘 Python 语法的奥秘:从新手到大师

Basic Grammar

python is an interpreted language with dynamic typing and garbage collection. Basic syntax includes:

  • Data types: Python Built-in data types include integers, floating point numbers, Strings, lists, tuples, and dictionaries.
  • Variables: Use = to assign values. The variable name must start with a letter or an underscore. It can contain numbers but cannot start with numbers.
  • Operators: Arithmetic, comparison, logical and bitwise operators.

Process Control

Python uses indentation to control the execution of code blocks:

  • if-elif-else:Conditional judgment statement.
  • while: Loop statement, if the condition is true, the loop will continue.
  • for: Iteration statement, traverses the elements in the sequence.
  • break: Break out of the loop.

function

Function is a grammatical structure that encapsulates a code block and can be reused:

def add(a, b):
return a + b

result = add(1, 2)
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Object-Oriented Programming

Python supports Object-orientedProgramming, using classes and objects to organize code:

  • Class: Defines the blueprint of the object, including properties and methods.
  • Object: An instance of a class with specific properties and methods.
class Person:
def __init__(self, name, age):
self.name = name
self.age = age

def introduce(self):
print("My name is", self.name)

p = Person("John", 30)
p.introduce()
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Advanced Grammar

Python provides more advanced syntax features:

  • Generator: Generate a sequence and generate elements one by one.
  • Decorator: Enhance the function without modifying the function source code.
  • Context Manager: Handles resource management and error handling.

Summarize

Python syntax may seem simple, but its connotations are rich. Mastering these grammatical features not only allows you to write efficient and readable code, but also provides a deep understanding of Python's underlying mechanisms. From novice to master, mastering Python syntax is the only way. Keep practicing, practice makes perfect, and you will eventually become a master of Python programming.

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