Python four numerical types (int, long, float, complex)

Python supports four different numerical types, including int (integer) long (long integer) float (actual floating point value) complex (plural number). This article introduces the four numerical types of python to coders. Friends who need it can just for reference.

Numeric data type stores 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 a reference to a numeric object using the del statement.

The syntax of the del statement is:

del var1[,var2[,var3[....,varN]]]]

You can use the del statement to delete a single object or multiple objects.

For example:

del var
del var_a, var_b

##Python supports four different numeric types:

•int (signed integer): is often referred to as 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, representing real numbers, decimals written by dividing the integer part and the decimal part. The float may also be expressed in scientific notation with E or e (2.5e2 = 2.5 × 102 = 250).

•complex (plural): + The 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.

Here are some examples of numbers:

Python's number conversion internally contains a common evaluation type of mixed expressions. But sometimes, you need to explicitly coerce a number from one type to another as an operator or function argument to satisfy requirements.