Will's solution to Python Basics Challenge #2

main.py

@@ -1,37 +1,52 @@
 def hello_world():
     '''Prints "Hello World!".'''
+    print("Hello World!")
     return
 
 
 def sum(a, b):
     '''Accepts 2 numbers as parameters, returns sum of a and b.'''
-    return 0
+    return a + b
 
 
 def sub(a, b):
     '''Accepts 2 numbers as parameters, returns subtraction of a and b.'''
-    return 0
+    return a - b
 
 
 def product(a, b):
     '''Accepts 2 numbers as parameters, returns product of a and b.'''
     # CHALLENGE: use a for loop and your sum function to implement product
-    return 0
+    ans = 0
+    for i in range(b):
+        ans = sum(ans, a)
+    return ans
 
 
 def divide(a, b):
     '''Accepts 2 numbers as parameters, returns a divided by b.'''
     # only pass in numbers that are divisible for sake of implementation
     # CHALLENGE: use a while loop and your sub function to implement divide
-    return 0
+    ans = 0
+    while (a > 0):
+        a = sub(a, b)
+        ans += 1
+    return ans
 
 
 def root(num):
     '''Accepts a number as a parameter, returns the sqrt of num.'''
     # only pass in numbers that are perfect squares for sake of implementation
     # leetcode easy
     # CHALLENGE: do not use any built-in Python functions
-    return 0;
+    if num == 0 or num == 1:
+        return num
+    ans = 1
+    result = 1
+    while (result < num):
+        ans += 1
+        result = ans * ans
+    return ans;
 
 
 def main():

main2.py

@@ -2,15 +2,26 @@ def oddOrEven(nums):
     '''Given an unsorted list of numbers, return a list that indicates if the value at each index is odd (0) or even (1).'''
     # EXAMPLE:
     # Given [2, 4, 5, 7, 8, 10], return [1, 1, 0, 0, 1, 1]
-    return []
+    return [(i + 1) % 2 for i in nums]
 
 
 def mostOccurences(nums):
     '''Given an unsorted list of numbers, returns the value that occured the most in nums.'''
     # Hint: use oddOrEven to test function faster
     # Hint: use a map
     # Hint: https://stackoverflow.com/questions/13098638/how-to-iterate-over-the-elements-of-a-map-in-python
-    return -1 
+    mp = {}
+    for k in nums:
+        if k in mp:
+            mp[k] += 1
+        else:
+            mp[k] = 1
+    max, ans = -1, 0
+    for i in mp:
+        if max < mp[i]:
+            max = mp[i]
+            ans = i
+    return ans
 
 
 def main():

main3.py

@@ -1,39 +1,60 @@
 #### INCLUDE ANY IMPORTS YOU NEED HERE, DO NOT PIP INSTALL ANY LIBRARIES ####
+import statistics as stats
+from math import sqrt
+from random import randrange
+from datetime import date
+import csv
 
 
 def perfect_square(num):
     '''Return the sqrt of <num> only if <num> is a perfect square, otherwise return -1.'''
     # Hint: math library
-    return 0
+    square_root = sqrt(num)
+    if int(square_root + 0.5) ** 2 == num:
+        return int(square_root)
+    return -1
 
 
 def random_num_generator(min, max):
     '''Returns a random number between min and max inclusive.'''
-    # Hint: random library
-    return 0
+    return randrange(min - 1, max)
 
 
 def get_today():
     '''Returns today's date in the format <month> <day>, <year> where month is a string, day & year are numbers.'''
     # Note: Code must work regardless of today's date
     # Example: November 19, 2021
     # Hint: datetime library
-    return "November 19, 2021"
+    today = date.today()
+    return today.strftime("%B %d, %Y")
 
 
 def get_stat(nums, type):
     '''Returns <type> of an unsorted list <nums>, where type can be mean, median, mode.'''
     # Example: get_stat([0, 1, 2], "median"), returns 1
     # Hint: statistics library
-    return 0
+    if type == "mean":
+        return stats.mean(nums)
+    elif type == "median":
+        return stats.median(nums)
+    return stats.mode(nums)
 
 
 def print_by_profit():
     '''Print data/sales_records.csv in order sorted by profit.'''
     # Hint: csv library
     # Hint: use built-in sort() after parsing csv
     # Hint: figure out how to print out each row in csv first
-    print("Working with csvs!")
+    with open('data/sales_records.csv') as file:
+        # Gets all rows in csv file and put into 2d array
+        data_rows = list(csv.reader(file, delimiter=','))
+    # Delete first row because it's just the column titles
+    print(data_rows.pop(0))
+    # Sort by profit (last index of each row)
+    data_rows.sort(key=lambda i:float(i[13]))
+    # Print each row
+    for row in data_rows:
+        print(row)
 
 
 def main():