Introduction to Python language types

Python is a strongly typed dynamic scripting language.

Strong type: addition of different types is not allowed
Dynamic: no explicit data type declaration is used, and the type of a variable is determined when it is assigned a value for the first time
Script language: General It is also an interpreted language. Only an interpreter is needed to run the code, and no compilation is required.

Strongly typed language and weakly typed language

1. Strongly typed language: A language that makes it mandatory to define data types. Variables of two different types are not allowed to operate with each other without forced type conversion. Strongly typed definition languages ​​are type-safe languages, such as Java, C# and python. For example, "int i = 0.0;" in Java cannot be compiled;
2. Weakly typed language: a language in which data types can be ignored. Contrary to strongly typed languages, a variable can be assigned values ​​of different data types, allowing a piece of memory to be treated as multiple types, such as directly adding integer variables and character variables. C/C++ and PHP are both weakly typed languages. For example, "int i = 0.0;" in C++ can be compiled and run.

Static and dynamic type languages

Static and dynamic are for variables In terms of data types, the differences are as follows:

1. In code written in a statically typed language, the data type of the variable must be declared, and variables of different data types are not allowed to be assigned values ​​directly. Its data type is compiled During the inspection.

2. Before using variables in statically typed languages, you need to allocate memory for them.

3. Static type languages ​​are powerful, but relatively difficult to learn and have poor flexibility.

4. Dynamic type language is just the opposite of static language. It only checks the data type during the running of the program. There is no need to specify a data type for the variable. It will check the data type when a colleague assigns the variable for the first time. Internal record data type.

5. Although dynamically typed languages ​​are fast and flexible, it is difficult to find bugs before the code is run. Therefore, the development speed is improved, but the robustness of the program is lost.

1) Static type languages: c, c++, c#, object-c, Java, etc.

2) Dynamic type languages: Python, ruby, PHP, JavaScript, erlang, etc.

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