静态、动态、强类型、弱类型

本文探讨了Python的数据类型系统,并将其与其他编程语言进行了比较。详细解释了静态类型、动态类型、强类型及弱类型的含义,同时提供了Java、C、VBScript等语言作为对比案例。
Python3.8

Python3.8

Conda
Python

Python 是一种高级、解释型、通用的编程语言,以其简洁易读的语法而闻名,适用于广泛的应用,包括Web开发、数据分析、人工智能和自动化脚本

[b]2.2.1. How Python's Datatypes Compare to Other Programming Languages[/b]

An erudite reader sent me this explanation of how Python compares to other programming languages:

[b]statically typed language[/b]
A language in which types are fixed at compile time. Most statically typed languages enforce this by requiring you to declare all variables with their datatypes before using them. Java and C are statically typed languages.
[b]dynamically typed language[/b]
A language in which types are discovered at execution time; the opposite of statically typed. VBScript and Python are dynamically typed, because they figure out what type a variable is when you first assign it a value.
[b]strongly typed language[/b]
A language in which types are always enforced. Java and Python are strongly typed. If you have an integer, you can't treat it like a string without explicitly converting it.
[b]weakly typed language[/b]
A language in which types may be ignored; the opposite of strongly typed. VBScript is weakly typed. In VBScript, you can concatenate the string '12' and the integer 3 to get the string '123', then treat that as the integer 123, all without any explicit conversion.

So Python is both dynamically typed (because it doesn't use explicit datatype declarations) and strongly typed (because once a variable has a datatype, it actually matters).

from 《Dive Into Python》, see: http://diveintopython.org/getting_to_know_python/declaring_functions.html

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