updated programming with ai file

Crush-Python-Tutorial/programming-ai.py

@@ -9,6 +9,32 @@ def find_max(numbers):
         if num > max_num:
             max_num = num
     return max_num
+
+
+
+#find the min item in [1,2,3]
+def find_min(numbers):
+    min_num = numbers[0]
+    for num in numbers:
+        if num < min_num:
+            min_num = num
+    return min_num
+
+#what numpy can do?
+#numpy can do matrix multiplication, linear algebra, and random number generation
+
+
+#use numpy to multiply two matrices
+import numpy as np
+def matrix_multiply(matrix1, matrix2):
+    return np.matmul(matrix1, matrix2)
+
+
+#use numpy to find the mean of a list of numbers
+def mean(numbers):
+    return sum(numbers) / len(numbers)
+
+
 
 #use numpy to create a linear regression model
 import numpy as np
@@ -24,22 +50,21 @@ def linear_regression(x, y):
     c = y_mean - m * x_mean
     return m, c
 
+
 
-#upload an image to s3 
+#upload an image to s3
 import boto3
 
 s3 = boto3.client('s3')
-
 def upload_image(image_path, bucket_name, object_name=None):
-
     if object_name is None:
         object_name = image_path.split('/')[-1]
     s3.upload_file(image_path, bucket_name, object_name)
     return True
 
-#use openai to identify the sentiment of tweet data
-#remove the urls and special characters in the tweets 
 
+
+#use openai to identify the sentiment of tweet data, remove the urls and special characters in the tweets 
 
 import openai
 import re