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This article mainly explains the "Python variable types and assignment methods", the content of the article is simple and clear, easy to learn and understand, the following please follow the editor's ideas slowly in depth, together to study and learn "Python variable types and assignment methods" bar!

1. Variables

The value of a variable stored in memory

This means that a space is opened up in memory when creating variables.

Based on the data type of the variable, the interpreter allocates the specified memory and determines what data can be stored in memory.

Therefore, variables can specify different data types, and these variables can store integers, decimals, characters, etc.

2. Assignment

Variable assignment in Python does not require type declaration

Each variable is created in memory, including the identity, name and data of the variable.

Each variable must be assigned before it is used, and the variable will not be created until it is assigned.

The equal sign (=) is used to assign values to variables

To the left of the equal sign (=) operator is a variable name

To the right of the equal sign (=) operator is the value stored in the variable

3. Standard

There can be many types of data stored in memory

For example, a person's age can be stored in numbers, and his name can be stored in characters

Python defines some standard types for storing various types of data.

Python has five standard data types

Numbers (digital)

Numeric data types are used to store numeric values

Is an immutable data type

This means that changing the digital data type allocates a new object.

When you specify a value, the Number object is created:

Three different number types are supported:

Int (signed integer)

Float (floating point)

Complex (plural)

String (string)

A string or String is a string of characters consisting of numbers, letters, and underscores

Is the data type that represents text in a programming language

The string list has two order of values:

The default index from left to right starts at 0, and the maximum range is 1 less than the length of the string.

The index from right to left starts with default-1, and the maximum range is at the beginning of the string.

List (list)

The list can complete the data structure implementation of most collection classes.

Supports characters, numbers, strings and even contains lists (that is, nesting)

The list is identified by [] and is the most common compound data type in python.

Tuple (tuple)

Tuple is another data type, similar to List (list)

Tuples are identified by (). Internal elements are separated by commas

But the elements in the tuple cannot be assigned twice, which is equivalent to a read-only list

Et (collection)

A set is an unordered sequence of non-repeating elements

You can create a collection using curly braces {} or the set () function

Set (collection)

A set is an unordered sequence of non-repeating elements

You can create a collection using curly braces {} or the set () function

Dictionary (dictionary)

Dictionaries (dictionary) are the most flexible built-in data structure types in python besides lists

Lists are ordered collections of objects, and dictionaries are unordered collections of objects.

The difference between the two is that the elements in the dictionary are accessed by keys, not by offsets.

Dictionaries are identified with "{}". The dictionary consists of an index (key) and its corresponding value value

4. Conversion

Sometimes you need to convert the built-in type of the data, just use the data type as the function name

The following built-in functions perform conversions between data types

These functions return a new object that represents the converted value

Thank you for your reading, the above is the content of "the type of Python variable and the method of assignment". After the study of this article, I believe you have a deeper understanding of the type of Python variable and the method of assignment, and the specific use needs to be verified in practice. Here is, the editor will push for you more related knowledge points of the article, welcome to follow!

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