


Differences and conversions between Python's four numerical types (int, long, float, complex)
Python supports four different numerical types, including int (integer) long (long integer) float (floating point actual value) complex (complex number),
numeric data types store numerical values. They are immutable data types, which means that changing the numeric data type results in a value in a newly allocated object.
Number objects are created when you assign a value to them. For example:
var1 = 1 var2 = 10
You can also delete the reference of a numeric object, using the del statement.
The syntax of del statement is:
del var1[,var2[,var3[....,varN]]]]
You can use del statement to delete a single object or multiple objects.
Example:
del var del var_a, var_b
Python supports four different numeric types:
• int (signed integer): often called an integer or integer, a positive or negative integer without a decimal point.
•long (long integer): or desire, an integer of infinite size, written like this integer and an uppercase or lowercase L.
•float (floating point actual value): Floats, written to represent real numbers, decimals divided by the integer part and the decimal part. The float may also be expressed in scientific notation with E or 10th power e (2.5e2 = 2.5 × 102 = 250).
•complex (plural): + form of BJ, where a, b are floats and J (or J) represents the square root of -1 (which is an imaginary number). a is the real numerical part and b is the imaginary part. Complex numbers are not programmed using Python.
•Python allows you to use the long lowercase L, but it is recommended that you only use an uppercase L to avoid confusion with the number 1. python long integer displays a capital letter L.
• A complex number consisting of an ordered pair of a real floating point number + BJ, where a is the real part and b is the imaginary part representation of the complex number.
Number type conversion:
Python's number conversion internally contains a mixed expression of a common evaluation type. But sometimes, you need to explicitly coerce a number from one type to another as an operator or function argument to satisfy requirements.
•int type (X) converts X to an ordinary integer.
•long(X) converts X to a long integer.
•float type(X) converts X to a floating point number.
•complex(x) Converts x with a real part of x and an imaginary part of zero to a complex quantity. Type complex(x,y) converts the x and imaginary parts of x and y to complex numbers. x and y are numerical expressions with built-in number functions

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

Solution to permission issues when viewing Python version in Linux terminal When you try to view Python version in Linux terminal, enter python...

When using Python's pandas library, how to copy whole columns between two DataFrames with different structures is a common problem. Suppose we have two Dats...

Getting started with Python: Hourglass Graphic Drawing and Input Verification This article will solve the variable definition problem encountered by a Python novice in the hourglass Graphic Drawing Program. Code...

Choice of Python Cross-platform desktop application development library Many Python developers want to develop desktop applications that can run on both Windows and Linux systems...

Many developers rely on PyPI (PythonPackageIndex)...

Data Conversion and Statistics: Efficient Processing of Large Data Sets This article will introduce in detail how to convert a data list containing product information to another containing...

How to handle high resolution images in Python to find white areas? Processing a high-resolution picture of 9000x7000 pixels, how to accurately find two of the picture...

When using Python to connect to an FTP server, you may encounter encoding problems when obtaining files in the specified directory and downloading them, especially text on the FTP server...
