Home Backend Development Python Tutorial Analyzing Python variables and data types: a simple and in-depth learning journey

Analyzing Python variables and data types: a simple and in-depth learning journey

Mar 30, 2024 pm 08:41 PM
Scope key value pair introduction

剖析 Python 变量与数据类型:深入浅出的学习之旅

Variables are containers used to store data in computer programs. Their type determines the format and operation of stored data. In python, variables and data types are inseparable, and a deep understanding of both is crucial to effectively utilizing the language.

Python variables

  • Identifier: Variable name, consisting of letters, numbers or underscores, and cannot start with a number.
  • Assignment operator: (=) is used to assign a value to a variable.
  • Scope:The scope of a variable is determined by the location where it is defined, including global variables (accessible by all functions) and local variables (visible only within this function).
  • Delete: Use the del statement to delete variables.

Python data types

Python has a rich set of built-in data types, including:

  • Integer type: int, used to store integers.
  • Floating point type: float, used to store decimals.
  • String: str, used to store text.
  • List: list, used to store an ordered set of variable elements.
  • Tuple: tuple, used to store an ordered set of immutable elements.
  • Dictionary: dict, used to store key-value pairs.
  • Boolean type: bool, used to represent true or false.
  • Set: set, an unordered set used to store unique elements.
  • Byte string: bytes, used to store binary data.
  • NoneType: None, used to represent null values.

Variable type inference

Python is a dynamically typed language, which means that variable types are determined at runtime. When a variable is assigned a value, its type will be automatically inferred:

  • Integer assignment: type is int.
  • Floating point number assignment: type is float.
  • StringAssignment: type is str.
  • List assignment: type is list.
  • ...So on and so forth

Type conversion

Python provides various functions to explicitly convert data types:

  • int(): Convert the value to an integer.
  • float(): Convert the value to a floating point number.
  • str(): Convert the value to a string.
  • list(): Convert values ​​to lists.
  • ...So on and so forth

Type checking

Python uses the type() function to check the type of a variable:

>>> type(42)
<class "int">
>>> type("hello")
<class "str">
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Best Practices

  • Use meaningful variable names.
  • Specify the appropriate type for the variable.
  • Use type conversion with caution.
  • Clear variables no longer needed.

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