Added numpy code and link

bigos/lecture20250422/Links.txt

@@ -15,3 +15,5 @@ Definitions
 Mean, Median and Mode
 https://www.geeksforgeeks.org/mean-median-mode/
 
+JP Morgan class -- For info only.
+https://github.com/jpmorganchase/python-training/tree/main

bigos/lecture20250422/functions/myMathLib.py

@@ -0,0 +1,17 @@
+
+def addFloats(parameter1, parameter2):
+    function_result = parameter1 + parameter2
+    return function_result
+
+def divFloats(parameter1, parameter2):
+    function_result = parameter1 / parameter2
+    return function_result
+
+def mulFloats(parameter1, parameter2):
+    function_result = parameter1 * parameter2
+    return function_result
+
+def subFloats(parameter1, parameter2):
+    function_result = parameter1 - parameter2
+    return function_result
+

bigos/lecture20250422/functions/myMathMain.py

@@ -0,0 +1,21 @@
+
+import myMathLib
+
+# ===================== Main Program ==========================
+
+data1 = 4.125
+data2 = 3.4
+
+result = myMathLib.addFloats(data1,data2)
+print(f"The sum of {data1} + {data2} = {result}")
+
+result = myMathLib.subFloats(data1,data2)
+print(f"The sum of {data1} - {data2} = {result:.2f}")
+
+result = myMathLib.divFloats(data1,data2)
+print(f"The sum of {data1} / {data2} = {result:.2f}")
+
+result = myMathLib.mulFloats(data1,data2)
+print(f"The sum of {data1} * {data2} = {result:.2f}")
+
+

bigos/lecture20250422/functions/myMathMain2.py

@@ -0,0 +1,21 @@
+
+import myMathLib as mml
+
+# ===================== Main Program ==========================
+
+data1 = 5.5
+data2 = 3.4
+
+result = mml.addFloats(data1,data2)
+print(f"The sum of {data1} + {data2} = {result}")
+
+result = mml.subFloats(data1,data2)
+print(f"The sum of {data1} - {data2} = {result:.2f}")
+
+result = mml.divFloats(data1,data2)
+print(f"The sum of {data1} / {data2} = {result:.2f}")
+
+result = mml.mulFloats(data1,data2)
+print(f"The sum of {data1} * {data2} = {result:.2f}")
+
+

bigos/lecture20250422/functions/originalMain.py

@@ -0,0 +1,38 @@
+
+
+def addFloats(parameter1, parameter2):
+    function_result = parameter1 + parameter2
+    return function_result
+
+def divFloats(parameter1, parameter2):
+    function_result = parameter1 / parameter2
+    return function_result
+
+def mulFloats(parameter1, parameter2):
+    function_result = parameter1 * parameter2
+    return function_result
+
+def subFloats(parameter1, parameter2):
+    function_result = parameter1 - parameter2
+    return function_result
+
+
+# ===================== Main Program ==========================
+
+data1 = 4.1
+data2 = 1.9
+
+result = addFloats(data1,data2)
+print(f"The sum of {data1} + {data2} = {result}")
+
+result = subFloats(data1,data2)
+print(f"The sum of {data1} - {data2} = {result:.2f}")
+
+result = divFloats(data1,data2)
+print(f"The sum of {data1} / {data2} = {result:.2f}")
+
+result = mulFloats(data1,data2)
+print(f"The sum of {data1} * {data2} = {result:.2f}")
+
+
+

bigos/lecture20250422/numpy01/numpyArray2d.py

@@ -0,0 +1,14 @@
+import numpy as np
+
+arr = np.array([[1, 2, 3], [4, 5, 6]])
+print(f"Array = {arr}")
+
+print("\n")
+arr3x3 = np.array([ [1, 2, 3], [4, 5, 6], [7,8,9] ])
+print(f"3X3 Array = {arr3x3}")
+
+
+print("\n")
+arr4x4 = np.array([ [1, 2, 3,44], [4, 5, 6, 66], [7,8,9, 99], [10,11,12,13]])
+print(f"4X4 Array = {arr4x4}")
+

bigos/lecture20250422/numpy01/numpyExample01.py

@@ -0,0 +1,10 @@
+import numpy as np
+
+arr = np.array([1, 2, 3, 4, 5])
+
+print(arr)
+
+print(f"The numpy version is {np.__version__}")
+
+print(type(arr))
+