The document discusses creating simple functions in Python. It provides examples of functions to calculate BMI, convert between units of measurement, check properties of triangles, calculate factorials and Fibonacci numbers, and evaluate triangles using Heron's formula. Recursive functions are also demonstrated, including a recursive implementation of the factorial function. Key takeaways are that functions can call other functions or themselves recursively, but recursive calls consume significant memory.
The significance of higher-order ... procedures is that they enable us to represent procedural abstractions explicitly as elements in our programming language, so that they can be handled just like other computational elements.
The significance of higher-order ... procedures is that they enable us to represent procedural abstractions explicitly as elements in our programming language, so that they can be handled just like other computational elements.
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2. Module 3 Creating simple functions
Evaluating the BMI
def bmi(weight, height):
return weight / height ** 2
print(bmi(52.5, 1.65))
def ft_and_inch_to_m(ft, inch = 0.0):
return ft * 0.3048 + inch * 0.0254
def lb_to_kg(lb):
return lb * 0.45359237
def bmi(weight, height):
if height < 1.0 or height > 2.5 or
weight < 20 or weight > 200:
return None
return weight / height ** 2
print(bmi(weight = lb_to_kg(176), height = ft_and_inch_to_m(5, 7)))
3. Module 3 Creating simple functions
Check triangles 1
def is_a_triangle(a, b, c):
if a + b <= c or b + c <= a or c + a <= b:
return False
return True
print(is_a_triangle(1, 1, 1))
print(is_a_triangle(1, 1, 3))
def is_a_triangle(a, b, c):
return a + b > c and b + c > a and c + a > b
print(is_a_triangle(1, 1, 1))
print(is_a_triangle(1, 1, 3))
True
False
True
False
4. Module 3 Creating simple functions
Check triangles 2
def is_a_triangle(a, b, c):
return a + b > c and b + c > a and c + a > b
a = float(input('Enter the first side's length: '))
b = float(input('Enter the second side's length: '))
c = float(input('Enter the third side's length: '))
if is_a_triangle(a, b, c):
print('Yes, it can be a triangle.')
else:
print('No, it can't be a triangle.')
5. Module 3 Creating simple functions
Check right-angle triangle
def is_a_triangle(a, b, c):
return a + b > c and b + c > a and c + a > b
def is_a_right_triangle(a, b, c):
if not is_a_triangle(a, b, c):
return False
if c > a and c > b:
return c ** 2 == a ** 2 + b ** 2
if a > b and a > c:
return a ** 2 == b ** 2 + c ** 2
print(is_a_right_triangle(5, 3, 4))
print(is_a_right_triangle(1, 3, 4))
6. Module 3 Creating simple functions
Evaluate a triangle's area
Heron's formula:
def is_a_triangle(a, b, c):
return a + b > c and b + c > a and c + a > b
def heron(a, b, c):
p = (a + b + c) / 2
return (p * (p - a) * (p - b) * (p - c)) ** 0.5
def area_of_triangle(a, b, c):
if not is_a_triangle(a, b, c):
return None
return heron(a, b, c)
print(area_of_triangle(1., 1., 2. ** .5))
7. Module 3 Creating simple functions
Factorials
0! = 1 (yes! it's true)
1! = 1
2! = 1 * 2
3! = 1 * 2 * 3
4! = 1 * 2 * 3 * 4
:
:
n! = 1 * 2 ** 3 * 4 * ... * n-1 * n
def factorial_function(n):
if n < 0:
return None
if n < 2:
return 1
product = 1
for i in range(2, n + 1):
product *= i
return product
for n in range(1, 6): # testing
print(n, factorial_function(n))
1 1
2 2
3 6
4 24
5 120
8. Module 3 Creating simple functions
Fibonacci numbers
• the first element of the sequence is equal to one
(Fib1 = 1)
• the second is also equal to one (Fib2 = 1)
• every subsequent number is the the_sum of the
two preceding numbers:
(Fibi = Fibi-1 + Fibi-2)
fib_1 = 1
fib_2 = 1
fib_3 = 1 + 1 = 2
fib_4 = 1 + 2 = 3
fib_5 = 2 + 3 = 5
fib_6 = 3 + 5 = 8
fib_7 = 5 + 8 = 13
def fib(n):
if n < 1:
return None
if n < 3:
return 1
elem_1 = elem_2 = 1
the_sum = 0
for i in range(3, n + 1):
the_sum = elem_1 + elem_2
elem_1, elem_2 = elem_2, the_sum
return the_sum
for n in range(1, 10): # testing
print(n, "->", fib(n))
1 -> 1
2 -> 1
3 -> 2
4 -> 3
5 -> 5
6 -> 8
7 -> 13
8 -> 21
9 -> 34
9. Module 3 Creating simple functions
Recursion
Fibi = Fibi-1 + Fibi-2
def fib(n):
if n < 1:
return None
if n < 3:
return 1
return fib(n - 1) + fib(n - 2)
n! = (n-1)! × n
def factorial_function(n):
if n < 0:
return None
if n < 2:
return 1
return n * factorial_function(n - 1)
10. Module 3 Creating simple functions
Key takeaways
A function can call other functions or even itself.
When a function calls itself, this situation is known as recursion.
Recursive calls consume a lot of memory.
# Recursive implementation of the factorial function.
def factorial(n):
if n == 1: # The base case (termination condition.)
return 1
else:
return n * factorial(n - 1)
print(factorial(4)) # 4 * 3 * 2 * 1 = 24