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    Python Math Module

    The math module in Python gives a wide range of mathematical functions and constants. You do not need to install anything because it is a part of Python’s standard library. Below is the detailed explanation of the module along with examples:

    1. Importing the math Module

    To use the math module, you need to import it:

    import math

    2. Constants in the math Module

    The math module contains the following constants:

    • math.pi: The mathematical constant π (pi), approximately 3.14159.
    • math.e: Euler’s number (e), approximately 2.71828.
    • math.tau: The mathematical constant τ (tau), which is equal to 2π.
    • math.inf: Infinity.
    • math.nan: “Not a Number” (Nan).

    Example:

    import math
    
    print(math.pi)   # 3.141592653589793
    print(math.e)    # 2.718281828459045
    print(math.tau)  # 6.283185307179586
    print(math.inf)  # inf
    print(math.nan)  # nan
    

    3. Basic Operations

    The math module offers functions for basic mathematical operations:

    • math.sqrt(x): Square root of x.
    • math.pow(x, y): x to the power y.
    • math.ceil(x): Smallest integer greater than or equal to x.
    • math.floor(x): Largest integer less than or equal to x.
    • math.fabs(x): Absolute value of x.
    • math.factorial(x): Factorial of x.

    Example:

    print(math.sqrt(16))        # 4.0
    print(math.pow(2, 3))       # 8.0
    print(math.ceil(3.7))       # 4
    print(math.floor(3.7))      # 3
    print(math.fabs(-5.5))      # 5.5
    print(math.factorial(5))    # 120
    

    4. Trigonometric Functions

    The math module offers different trigonometric functions. These functions deal with angles in radians.

    • math.sin(x): sine of x (x in radians).
    • math.cos(x): cosine of x (x in radians).
    • math.tan(x): tangent of x (x in radians).
    • math.asin(x): arc sine of x.
    • math.acos(x): arc cosine of x.
    • math.atan(x): arc tangent of x.
    • math.radians(x): converts degrees to radians.
    • math.degrees(x): converts radians to degrees.

    Example:

    angle_deg = 45
    angle_rad = math.radians(angle_deg)
    
    print(math.sin(angle_rad))        # 0.7071067811865475
    print(math.cos(angle_rad))        # 0.7071067811865476
    print(math.tan(angle_rad))        # 1.0
    print(math.degrees(math.pi / 4))  # 45.0
    

    5. Logarithmic and Exponential Functions

    • math.log(x, base): Logarithm of x with base stated (by default e).
    • math.log2(x): Logarithm of x with base 2.
    • math.log10(x): Logarithm of x with base 10.
    • math.exp(x): Exponential function of x (e^x).

    Example:

    print(math.log(8, 2))       # 3.0
    print(math.log10(1000))     # 3.0
    print(math.log2(16))        # 4.0
    print(math.exp(2))          # 7.3890560989306495
    

    6. Special Functions

    • math.gcd(a, b): Greatest common divisor of a and b.
    • math.lcm(a,b). Least common multiple of a and b.
    • math.isfinite(x): returns True if x is a finite number.
    • math.isinf(x): Returns True if x is infinite.
    • math.isnan(x): Returns True if x is NaN.

    Example:

    print(math.gcd(20, 8))      # 4
    print(math.lcm(12, 15))     # 60
    print(math.isfinite(5))     # True
    print(math.isinf(math.inf)) # True
    print(math.isnan(math.nan)) # True
    

    7. Hyperbolic Functions

    • math.sinh(x): Hyperbolic sine of x.
    • math.cosh(x): Hyperbolic cosine of x.
    • math.tanh(x): Hyperbolic tangent of x.

    Example:

    print(math.sinh(1))  # 1.1752011936438014
    print(math.cosh(1))  # 1.5430806348152437
    print(math.tanh(1))  # 0.7615941559557649
    

    8. Combinatorics

    • math.comb(n, k): Number of ways to choose k items from n items without repetition (nCk).
    • math.perm(n, k): Number of ways to arrange k items out of n items (nPk).

    Example:

    print(math.comb(5, 2))  # 10
    print(math.perm(5, 2))  # 20

    9. Floating-Point Operations

    • math.fsum(iterable): Returns an accurate floating-point sum of values in the iterable.
    • math.isclose(a, b, rel_tol=1e-9): Checks if a and b are approximately equal.

    Example:

    numbers = [0.1, 0.2, 0.3]
    print(math.fsum(numbers))   # 0.6
    print(math.isclose(0.1 + 0.2, 0.3))  # True

    Summary:

    The math module is crucial to perform advanced mathematical calculations within Python. It includes a set of functions to perform operations on numbers, trigonometry, logarithms, combinatorics, and more.