1.
- False. E.g. the XOR function.
- False. Larger values of lambda will cause *larger* changes in the weights.
- False. Although this is a common base case, other bases cases may make sense, like a list with one item in it for rec_max.
- True. When the mystery function is called 10 gets associated with the parameter x, but the original x variable also exists and has it's own value.  Updating the parameter to 2 in the function does not change the external x variable.

2.
a b c output
0 0 0 1
0 0 1 1
0 1 0 0
0 1 1 1 (>= threshold is 1)
1 0 0 1
1 0 1 1
1 1 0 1
1 1 1 1

3.
a.
No change to the weights. predicted = actual.

b.
predicted = 1
actual = 0

w_1 = 1 + 0.5 * (-1) * 1 = 0.5
w_2 = 0 + 0.5 * (-1) * 1 = -0.5
w_3 = -0.5 + 0.5 * (-1) * 1 = -1

4.
def count_even(list):
    if list == []:
        return 0
    else:
        count = count_even(list[1:])
        
        if list[0]%2 == 0:
            return 1 + count
        else:
            return count

5.
def swap(d):
    new_d = {}
    
    for key in d:
        value = d[key]
        new_d[value] = key
        
    return new_d

6.
def capitalized_lies(filename):
    file = open(filename, "r")
    
    count = 0
    
    for line in file:
        if line[0].isupper():
            count += 1
            
    return count