Automatic commit performed through alias...

problems/005_problem.py

@@ -11,12 +11,28 @@
 #  numbers from 1 to 20?
 #
 
-import decorators			# Typically imported to compute execution duration of functions.
-import time					# Typically imported for sleep function, to slow down execution in terminal.
+
+#	Standard Imports:
+#	-------------------
+
+import time  # Typically imported for sleep function, to slow down execution in terminal.
 import typing
+import sys
 import pprint
+
+#	Imports from Virtual Environment for this Project:
+#	---------------------------------------------------
+
+sys.path.append('/home/shaun/code/github/euler_project/py_euler_project/venv')
 import numpy
 
+#	Imports from Modules Built for this Project:
+#	-----------------------------------------------
+
+sys.path.append('/home/shaun/code/github/euler_project/py_euler_project/problems')
+import decorators
+
+
 # Create function that finds the next
 # prime number when supplied with an
 # intitial integer.
@@ -127,8 +143,10 @@ def main():
 
 	print(product)
 
-	print(set(factor_list))
+	print(numpy.array(common))
+
 
 #	print("The largest palindrome number which is a product of two numbers of length {} is {} ... ".format("foo_list","foo"))
 
-main()
+main()
+

problems/005_problem_jnotebook.ipynb

@@ -0,0 +1,64 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "####  Problem 5:\n",
+    "\n",
+    "2520 is the smallest number that can be divided by each of the numbers from 1 to 10 without any remainder.\n",
+    "\n",
+    "What is the smallest positive number that is evenly divisible by all of the numbers from 1 to 20?\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import pprint\n",
+    "import time  # Typically imported for sleep function, to slow down execution in terminal.\n",
+    "import typing\n",
+    "import decorators  # Typically imported to compute execution duration of functions.\n",
+    "import numpy"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}