Python data types include integers, long integers, floating point types, and complex numbers.

Integer type: represents the integer type, which can represent positive integers, negative integers and zero.

Long integer: represents an integer type that is larger than an ordinary integer and can represent very large integers.

Floating point type: represents a real number type, which can represent decimal decimals, including positive numbers, negative numbers and zero. Floating point numbers have precision limitations in Python.

Plural type: represents the complex type, consisting of real numbers and imaginary numbers, such as 3+4j, 2.1-3.2j, etc. You can use the built-in type() function to see the type of a variable.

A tuple in Python is an ordered and immutable sequence, represented by parentheses (). It can contain elements of different types, or elements of the same type. Tuples are similar to lists, but the elements in a tuple cannot be modified, so tuples can be used when data needs to be immutable.

Python language features

Python supports both process-oriented programming and object-oriented programming. In a process-oriented language, a program is made up of procedures or just functions of reusable code. constructed. In object-oriented languages, programs are built from objects that combine data and functionality. It is a completely object-oriented language. Functions, modules, numbers, and strings are all objects, and it fully supports inheritance, overloading, derivation, and multiple inheritance, which is beneficial to enhancing the reusability of source code.

Python supports overloaded operators and dynamic types. Compared with traditional functional programming languages ??like Lisp, Python only provides limited support for functional design. There are two standard libraries that provide Haskell and The proven functional programming tool in Standard ML.