Home Backend Development Python Tutorial Detailed explanation of the differences and conversion methods of Python's four numerical types (int, long, float, complex)

Detailed explanation of the differences and conversion methods of Python's four numerical types (int, long, float, complex)

Mar 16, 2017 pm 04:19 PM

Python supports four different numeric types, including int (integer) long (long integer) float (floating point Actual value) complex (plural number),

NumberData typeStores numeric value. They are immutable data types, which means that changing the numeric data type results in a newly allocated object value.

Number objects are created when you assign a value to them. For example:

var1 = 1
var2 = 10
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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]]]]
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You can use the del statement to delete a single object or multiple objects.

For example:

del var
del var_a, var_b
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Python supports four different numeric types:

•int (signed integer): often called an integer or a positive number without a decimal point or negative integer.

•long (long integer): or desire, an integer of infinite size, so write the integer and an uppercase or lowercase L.

•float (floating point actual value): Floats, representing real numbers, written as decimals divided by 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): + 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 lowercase versions of the long 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 true 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

operator or function parameter 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 values

Expression Built-in number functions


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