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Integers
Integers are whole numbers, meaning they have no decimal point. In Python, integers are represented using the int data type. Here are some examples of integers in Python:x = 42 y = -13 z = 0
In the example above, x is an integer with the value of 42, y is an integer with the value of -13, and z is an integer with the value of 0.
You can perform arithmetic operations on integers in Python using the standard mathematical operators, such as +, -, *, /, and % (which returns the remainder of a division operation). Here's an example:
a = 10 b = 3 c = a + b # c is now 13 d = a - b # d is now 7 e = a * b # e is now 30 f = a / b # f is now 3.33333... g = a % b # g is now 1
Floating-Point Numbers
Floating-point numbers, also known as floats, are numbers that have a decimal point. In Python, floats are represented using the float data type. Here are some examples of floats in Python:x = 3.14159 y = -2.5 z = 0.0
In the example above, x is a float with the value of 3.14159, y is a float with the value of -2.5, and z is a float with the value of 0.0.
You can perform arithmetic operations on floats in Python using the same operators as for integers. Here's an example:
a = 3.0 b = 1.5 c = a + b # c is now 4.5 d = a - b # d is now 1.5 e = a * b # e is now 4.5 f = a / b # f is now 2.0
Complex Numbers
Complex numbers are numbers that have both a real and imaginary part. In Python, complex numbers are represented using the complex data type. Here are some examples of complex numbers in Python:x = 2 + 3j y = -4j z = 1.5 - 2j
In the example above, x is a complex number with a real part of 2 and an imaginary part of 3, y is a complex number with a real part of 0 and an imaginary part of -4, and z is a complex number with a real part of 1.5 and an imaginary part of -2.
You can perform arithmetic operations on complex numbers in Python using the same operators as for integers and floats. Here's an example:
a = 2 + 3j b = 1 + 2j c = a + b # c is now 3 + 5j d = a - b # d is now 1 + 1j e = a * b # e is now -4 + 7j f = a / b
Python supports four different numerical data types:
- Integer (int): Integer is a whole number, positive or negative, without decimals, of unlimited length.
- Float: Float is a decimal number, with a floating point to represent fractional values. It can be used to represent real numbers and is written with a decimal point dividing the integer and fractional parts.
- Complex: Complex numbers are written with a "j" as the imaginary part.
- Boolean: A Boolean data type can have one of two values, either True or False.
Here are some more examples of how to use these data types in Python:
# Integer x = 10 y = -5 z = 0 # Float a = 3.14 b = -7.5 c = 0.0 # Complex d = 2 + 3j e = -4j # Boolean f = True g = False
In Python, you can perform various arithmetic operations on numbers, including addition, subtraction, multiplication, division, and modulo. Here are some examples:
# Addition a = 10 b = 5 c = a + b # Output: 15 # Subtraction d = 7 e = 3 f = d - e # Output: 4 # Multiplication g = 2 h = 6 i = g * h # Output: 12 # Division j = 15 k = 3 l = j / k # Output: 5.0 # Modulo m = 15 n = 4 o = m % n # Output: 3
Python also provides some built-in functions for working with numbers, including abs() for returning the absolute value of a number, pow() for calculating the power of a number, round() for rounding a number to a specified number of decimal places, and int() and float() for converting between data types.
# abs() p = -5 q = abs(p) # Output: 5 # pow() r = 2 s = pow(r, 3) # Output: 8 # round() t = 3.14159 u = round(t, 2) # Output: 3.14 # int() v = 10.5 w = int(v) # Output: 10 # float() x = 5 y = float(x) # Output: 5.0
These are just some of the basic operations and functions that can be performed on numbers in Python.
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