Python - Numbers

Numbers in Python

Python encompasses diverse numeric types to handle different mathematical scenarios. Understanding these numeric types is pivotal for seamless mathematical operations and computational tasks.

1. Integers (int) :

   - Whole numbers without any decimal points.

a = 123
b = 9876543210
c = -951

2. Floating-Point Numbers (float) :

    - Numbers with decimal points or expressed in scientific notation.

    -Scientific numbers denoted with a "e" to represent the power of ten can also represent float.

# Regular floating numbers
a = 15.0
b = 456.45
c = -986.45

# Scientific floating numbers
d = 19e7
e = 55E85
f = -28E15

3. Complex Numbers (complex) :

   - Numbers with both real and imaginary parts, expressed as a + bj.

a = 8 + 9j
b = 11j
c = -7j

Numbers Casting :

1. Casting to Integer ( int() ):

a = 6.84    # Type of a is float
b = int(a)     # Type of b is int 

print(b)    # b = 6

2. Casting to Float ( float() ):

a = 3     # Type of a is int
b = float(a)      # Type of b is float 

print(b)     # b = 3.0

3. Casting to Complex ( complex() ):

a = 5     # Type of a is int
b = complex(a)      # Type of b is complex 

print(b)     # b = 5 + 0j

Python supports a variety of mathematical operations and has built-in utilities for converting between different numeric types. Comprehending the unique attributes of every numerical format is essential for accurate and effective Python coding.