What is long in python?

Python 2 will automatically set the type based on the size of the value. A guide of max values can be found below.

The Max value of the default Int in Python 2 is 65535, anything above that will be a long

For example:

>> print type(65535)

>>> print type(65536*65536)

In Python 3 the long datatype has been removed and all integer values are handled by the Int class. The default size of Int will depend on your CPU architecture.

For example:

• 32 bit systems the default datatype for integers will be 'Int32'
• 64 bit systems the default datatype for integers will be 'Int64'

The min/max values of each type can be found below:

• Int8: [-128,127]
• Int16: [-32768,32767]
• Int32: [-2147483648,2147483647]
• Int64: [-9223372036854775808,9223372036854775807]
• Int128: [-170141183460469231731687303715884105728,170141183460469231731687303715884105727]
• UInt8: [0,255]
• UInt16: [0,65535]
• UInt32: [0,4294967295]
• UInt64: [0,18446744073709551615]
• UInt128: [0,340282366920938463463374607431768211455]

If the size of your Int exceeds the limits mentioned above, python will automatically change it's type and allocate more memory to handle this increase in min/max values. Where in Python 2, it would convert into 'long', it now just converts into the next size of Int.

Example: If you are using a 32 bit operating system, your max value of an Int will be 2147483647 by default. If a value of 2147483648 or more is assigned, the type will be changed to Int64.

There are different ways to check the size of the int and it's memory allocation. Note: In Python 3, using the built-in type() method will always return no matter what size Int you are using.

Number data types store numeric values. They are immutable data types. This means, changing the value of a number data type results 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 to a number object by using the del statement. The syntax of the del statement is −

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

You can delete a single object or multiple objects by using the del statement. For example −

del var
del var_a, var_b

Python supports different numerical types −

• int (signed integers) − They are often called just integers or ints. They are positive or negative whole numbers with no decimal point. Integers in Python 3 are of unlimited size. Python 2 has two integer types - int and long. There is no 'long integer' in Python 3 anymore.

• float (floating point real values) − Also called floats, they represent real numbers and are written with a decimal point dividing the integer and the fractional parts. Floats may also be in scientific notation, with E or e indicating the power of 10 (2.5e2 = 2.5 x 102 = 250).

• complex (complex numbers) − are of the form a + bJ, where a and b are floats and J (or j) represents the square root of -1 (which is an imaginary number). The real part of the number is a, and the imaginary part is b. Complex numbers are not used much in Python programming.

It is possible to represent an integer in hexa-decimal or octal form

>>> number = 0xA0F #Hexa-decimal
>>> number
2575

>>> number = 0o37 #Octal
>>> number
31

Examples

Here are some examples of numbers.

A complex number consists of an ordered pair of real floating-point numbers denoted by a + bj, where a is the real part and b is the imaginary part of the complex number.

Number Type Conversion

Python converts numbers internally in an expression containing mixed types to a common type for evaluation. Sometimes, you need to coerce a number explicitly from one type to another to satisfy the requirements of an operator or function parameter.

• Type int(x) to convert x to a plain integer.

• Type long(x) to convert x to a long integer.

• Type float(x) to convert x to a floating-point number.

• Type complex(x) to convert x to a complex number with real part x and imaginary part zero.

• Type complex(x, y) to convert x and y to a complex number with real part x and imaginary part y. x and y are numeric expressions

Mathematical Functions

Python includes the following functions that perform mathematical calculations.

Random Number Functions

Random numbers are used for games, simulations, testing, security, and privacy applications. Python includes the following functions that are commonly used.

Trigonometric Functions

Python includes the following functions that perform trigonometric calculations.

Mathematical Constants

The module also defines two mathematical constants −

Is there long in Python?

What is the size of Long in Python?

What is the difference between int and long in Python?

Is Long An integer data type?