def convert_inches_cm(inches):
cm = 2.54 * inches
return cm
# ****************************************
# add comment statements describing function
# ****************************************
# test out function
inches = 10
centimeters = convert_inches_cm(inches)
print(f"{inches} inches is equivalent to {centimeters} centimeters")
10 inches is equivalent to 25.4 centimeters
def check_within_bounds(given_list, lower, upper):
for val in given_list:
if not (lower <= val <= upper):
return False
return True
# ****************************************
# add comment statements describing function
# ****************************************
my_list = [5, 21, 51, 17]
lower1 = 5
upper1 = 17
result1 = check_within_bounds(my_list, lower1, upper1)
print(result1)
False
# test function
my_list = [5, 21, 51, 17]
lower2 = 21
upper2 = 51
result2 = check_within_bounds(my_list, lower2, upper2)
print(result2)
False
def compute_federal_taxes(income):
if income <= 9875:
tax_rate = 0.1
elif income <= 40125:
tax_rate = 0.12
elif income <= 85525:
tax_rate = 0.22
elif income <= 163300:
tax_rate = 0.24
elif income <= 207350:
tax_rate = 0.32
elif income <= 518400:
tax_rate = 0.35
else:
tax_rate = 0.37
federal_taxes = income * tax_rate
return federal_taxes
# Test case 1: income = 50,000
taxes = compute_federal_taxes(50000)
print("Taxes for income of 50,000: ", taxes)
# Test case 2: income = 100,000
taxes = compute_federal_taxes(100000)
print("Taxes for income of 100,000: ", taxes)
# Test case 3: income = 500,000
taxes = compute_federal_taxes(500000)
print("Taxes for income of 500,000: ", taxes)
Taxes for income of 50,000: 11000.0
Taxes for income of 100,000: 24000.0
Taxes for income of 500,000: 175000.0
import numpy as np
my_list = [-2, 4, 3, 5]
import numpy as np
my_list = [-2, 4, 3, 5]
print("Original List: ", my_list)
my_array = np.array(my_list)
print("Numpy Array: ", my_array)
Original List: [-2, 4, 3, 5]
Numpy Array: [-2 4 3 5]
my_list = [-2, 4, 3, 5]
my_array = np.array(my_list)
print(5 * my_list)
print(5 * my_array)
[-2, 4, 3, 5, -2, 4, 3, 5, -2, 4, 3, 5, -2, 4, 3, 5, -2, 4, 3, 5]
[-10 20 15 25]
import numpy as np
my_array = np.array([-2, 4, 3, 5])
print("Sum of all elements in the NumPy array:", np.sum(my_array))
print("Maximum element in the NumPy array:", np.max(my_array))
print("Minimum element in the NumPy array:", np.min(my_array))
Sum of all elements in the NumPy array: 10
Maximum element in the NumPy array: 5
Minimum element in the NumPy array: -2
# 1D NumPy array of length 10 with all zeros
import numpy as np
zeros_array = np.zeros(10)
print(zeros_array)
# 1D NumPy array of length 10 with 5 in each entry
ones_array = np.ones(10) * 5
print(ones_array)
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[5. 5. 5. 5. 5. 5. 5. 5. 5. 5.]
import numpy as np
interval = np.linspace(0, 1, num=11)
print(interval)
[0. 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1. ]
import matplotlib.pyplot as plt
import numpy as np
x = np.array([1, 2, 3, 4, 5])
y = np.array([2, 4, 6, 16, 25])
import matplotlib.pyplot as plt
import numpy as np
x = np.array([1, 2, 3, 4, 5])
y = np.array([2, 4, 6, 16, 25])
plt.scatter(x, y)
plt.show()
x = np.array([1, 2, 3, 4, 5])
y = np.array([2, 4, 6, 16,25])
import numpy as np
import matplotlib.pyplot as plt
x = np.linspace(-2*np.pi, 2*np.pi, 100)
y = np.cos(x)
plt.plot(x, y, color="red")
plt.title("Cosine Function")
plt.xlabel("x")
plt.ylabel("cos(x)")
plt.show()