2025 0415 update

2025-04-15 09:26:10 -04:00 · 2025-04-15 09:26:10 -04:00 · bb72e110a5
commit bb72e110a5
parent 4a5f06e9d1
65 changed files with 99796 additions and 92 deletions
--- a/bigos/lecture20250304/CSE-160-D01_2024FA_Intro-to-for-loops.ipynb
+++ b/bigos/lecture20250304/CSE-160-D01_2024FA_Intro-to-for-loops.ipynb
@ -18,7 +18,7 @@
  },
  {
   "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
   "id": "e9a8883a",
   "metadata": {},
   "outputs": [
@ -26,22 +26,22 @@
     "name": "stdout",
     "output_type": "stream",
     "text": [
-      "i = 1, i squared = 1\n",
-      "i = 2, i squared = 4\n",
-      "i = 3, i squared = 9\n",
-      "i = 4, i squared = 16\n",
-      "i = 5, i squared = 25\n"
+      "Value = 1, Value squared = 1\n",
+      "Value = 2, Value squared = 4\n",
+      "Value = 3, Value squared = 9\n",
+      "Value = 4, Value squared = 16\n",
+      "Value = 5, Value squared = 25\n"
     ]
    }
   ],
   "source": [
-    "for i in [1, 2, 3, 4, 5]:\n",
-    "    print(f\"i = {i}, i squared = {i**2}\")"
+    "for dummy in [1, 2, 3, 4, 5]:\n",
+    "    print(f\"Value = {dummy}, Value squared = {dummy**2}\")"
   ]
  },
  {
   "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 4,
   "id": "ee7f5f12",
   "metadata": {},
   "outputs": [
@ -60,7 +60,7 @@
  },
  {
   "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
   "id": "2667d8d8",
   "metadata": {},
   "outputs": [
@ -85,7 +85,7 @@
  },
  {
   "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 8,
   "id": "dd6ef6a6",
   "metadata": {},
   "outputs": [
@ -133,6 +133,36 @@
    "for i in range(len(myLstVar1)):     # \"range(n)\" gives you series of numbers from 0 ... n-1\n",
    "    print(i, myLstVar1[i])"
   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "52d35884-9507-485e-9637-25d7201ee6ff",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "unsorted myLstVar1 contains  7  items. ['Blue', 'Green', 'Indigo', 'Orange', 'Red', 'Violet', 'Yellow']\n",
+      "sorted myLstVar1 contains    7  items. ['Blue', 'Green', 'Indigo', 'Orange', 'Red', 'Violet', 'Yellow']\n",
+      "0 Blue\n",
+      "1 Green\n",
+      "2 Indigo\n",
+      "3 Orange\n",
+      "4 Red\n",
+      "5 Violet\n",
+      "6 Yellow\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"unsorted myLstVar1 contains \", len(myLstVar1), \" items.\",myLstVar1)\n",
+    "myLstVar1.sort()\n",
+    "print(\"sorted myLstVar1 contains   \", len(myLstVar1), \" items.\",myLstVar1)\n",
+    "for i in range(len(myLstVar1)):     # \"range(n)\" gives you series of numbers from 0 ... n-1\n",
+    "    print(i, myLstVar1[i])"
+   ]
  }
 ],
 "metadata": {
@ -151,7 +181,7 @@
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
-   "version": "3.11.5"
+   "version": "3.12.7"
  }
 },
 "nbformat": 4,
--- a/bigos/lecture20250304/CSE-160-D01_2024FA_Tuple-Backgrounder.ipynb
+++ b/bigos/lecture20250304/CSE-160-D01_2024FA_Tuple-Backgrounder.ipynb
@ -2,14 +2,18 @@
 "cells": [
  {
   "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
   "id": "ae280d81",
-   "metadata": {},
+   "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    }
+   },
   "outputs": [],
   "source": [
    "# CSE-160-D01_2024FA_Tuple-Backgrounder\n",
    "#\n",
-    "# A tuple is type of Python variable that can holdan ordered collection\n",
+    "# A tuple is type of Python variable that can hold an ordered collection\n",
    "# of mutiple values of possibly differing data type, possibly duplicated\n",
    "# values and are used for information that should not be changed.\n",
    "#\n",
@ -30,7 +34,7 @@
  },
  {
   "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 2,
   "id": "987287d1",
   "metadata": {},
   "outputs": [
@ -48,7 +52,8 @@
      "avgDiameterOfEarthInMiles type and length:  <class 'tuple'> 1 \n",
      "\n",
      "lockCombination =  ('right24', 'left31', 'right10')\n",
-      "lockCombination type and length:  <class 'tuple'> 3\n"
+      "lockCombination type and length:  <class 'tuple'> 3\n",
+      "\n"
     ]
    }
   ],
@ -76,7 +81,7 @@
  },
  {
   "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 3,
   "id": "cc74b5b1",
   "metadata": {},
   "outputs": [
@ -129,7 +134,7 @@
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
-   "version": "3.11.5"
+   "version": "3.12.7"
  }
 },
 "nbformat": 4,
--- a/bigos/lecture20250304/f-Strings-Intro_0001.ipynb
+++ b/bigos/lecture20250304/f-Strings-Intro_0001.ipynb
@ -18,7 +18,7 @@
  },
  {
   "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
   "id": "d20dcd5f",
   "metadata": {},
   "outputs": [
@ -43,7 +43,7 @@
  },
  {
   "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
   "id": "564c0014",
   "metadata": {},
   "outputs": [
@ -57,11 +57,11 @@
      "|        3.141592653589793|\n",
      "|    3.141592653589793    |\n",
      "\n",
-      "Using String variable = 'Python 3.11.5'\n",
-      "|Python 3.11.5            |\n",
-      "|Python 3.11.5            |\n",
-      "|            Python 3.11.5|\n",
-      "|      Python 3.11.5      |\n"
+      "Using String variable = 'Python 3.12.7'\n",
+      "|Python 3.12.7            |\n",
+      "|Python 3.12.7            |\n",
+      "|            Python 3.12.7|\n",
+      "|      Python 3.12.7      |\n"
     ]
    }
   ],
@ -92,7 +92,7 @@
  },
  {
   "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 3,
   "id": "9f9b8587",
   "metadata": {},
   "outputs": [
@ -105,10 +105,10 @@
      "|========3.141592653589793|\n",
      "|====3.141592653589793====|\n",
      "\n",
-      "Using String variable = 'Python 3.11.5'\n",
-      "|Python 3.11.5============|\n",
-      "|============Python 3.11.5|\n",
-      "|======Python 3.11.5======|\n"
+      "Using String variable = 'Python 3.12.7'\n",
+      "|Python 3.12.7============|\n",
+      "|============Python 3.12.7|\n",
+      "|======Python 3.12.7======|\n"
     ]
    }
   ],
@ -131,9 +131,11 @@
  },
  {
   "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 6,
   "id": "deee1957",
-   "metadata": {},
+   "metadata": {
+    "scrolled": true
+   },
   "outputs": [
    {
     "name": "stdout",
@ -197,9 +199,13 @@
  },
  {
   "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 5,
   "id": "2a3efefd",
-   "metadata": {},
+   "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    }
+   },
   "outputs": [
    {
     "name": "stdout",
@ -226,7 +232,7 @@
    "\n",
    "variable *= -1 \n",
    "print(f\"Using Numeric {variable = }\") \n",
-    "print(f\"With two decimal places and a comma: {variable:,.2f}\") "
+    "print(f\"With two decimal places and a comma: {variable:,.4f}\") "
   ]
  },
  {
@ -266,28 +272,10 @@
  },
  {
   "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
   "id": "28b43c9c",
   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Number\t\t\tSquare\t\t\tCube\n",
-      " 1\t\t\t  1\t\t\t   1\n",
-      " 2\t\t\t  4\t\t\t   8\n",
-      " 3\t\t\t  9\t\t\t  27\n",
-      " 4\t\t\t 16\t\t\t  64\n",
-      " 5\t\t\t 25\t\t\t 125\n",
-      " 6\t\t\t 36\t\t\t 216\n",
-      " 7\t\t\t 49\t\t\t 343\n",
-      " 8\t\t\t 64\t\t\t 512\n",
-      " 9\t\t\t 81\t\t\t 729\n",
-      "10\t\t\t100\t\t\t1000\n"
-     ]
-    }
-   ],
+   "outputs": [],
   "source": [
    "# The tab character (\\t) can also be used in an f-string to line up columns, \n",
    "# particularly when column headings are used: \n",
@ -298,28 +286,10 @@
  },
  {
   "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": null,
   "id": "de6c45f8",
   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Number\t\tSquare\t\tCube\n",
-      " 1.00\t\t  1.00\t\t    1.00\n",
-      " 2.00\t\t  4.00\t\t    8.00\n",
-      " 3.00\t\t  9.00\t\t   27.00\n",
-      " 4.00\t\t 16.00\t\t   64.00\n",
-      " 5.00\t\t 25.00\t\t  125.00\n",
-      " 6.00\t\t 36.00\t\t  216.00\n",
-      " 7.00\t\t 49.00\t\t  343.00\n",
-      " 8.00\t\t 64.00\t\t  512.00\n",
-      " 9.00\t\t 81.00\t\t  729.00\n",
-      "10.00\t\t100.00\t\t 1000.00\n"
-     ]
-    }
-   ],
+   "outputs": [],
   "source": [
    "# Using either tabs or spacing is acceptable and may depend on which one you are more comfortable with. \n",
    "# Either way is acceptable in Python. \n",
@ -333,23 +303,10 @@
  },
  {
   "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": null,
   "id": "47fcbb2b",
   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "       My Grocery List        \n",
-      "==============================\n",
-      "Apples             3\t$ 1.50\n",
-      "Rye Bread         10\t$15.00\n",
-      "Cheese             6\t$13.50\n",
-      "              Total:\t$30.00\n"
-     ]
-    }
-   ],
+   "outputs": [],
   "source": [
    "# This also demonstrates how the use of a value for width will enable the columns to line up. \n",
    "# The following program demonstrates the use of strings, decimals, and floats, as well as tabs \n",
@ -406,7 +363,7 @@
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
-   "version": "3.11.5"
+   "version": "3.12.7"
  }
 },
 "nbformat": 4,
--- a/bigos/lecture20250325/0
+++ b/bigos/lecture20250325/0
--- a/bigos/lecture20250325/1
+++ b/bigos/lecture20250325/1
--- a/bigos/lecture20250325/2
+++ b/bigos/lecture20250325/2
--- a/bigos/lecture20250325/3
+++ b/bigos/lecture20250325/3
--- a/bigos/lecture20250325/listvsdictionary.py
+++ b/bigos/lecture20250325/listvsdictionary.py
@ -0,0 +1,21 @@
+
+from pprint import pprint
+
+addressList = ["John Smith", "1 Main St", "Anycity", "Ma", "01102"]
+
+print(addressList)
+
+print(sorted(addressList))
+
+addressDictionary = {'Name':"John Smith", 'Address':"1 Main St", 'City': "Anycity",
+                     'State':"Ma", 'ZipCode': "01102"}
+
+print(addressDictionary)
+
+print(addressDictionary.keys())
+print(addressDictionary.values())
+
+for Item in addressDictionary.keys():
+    print(f"{Item:10s} {addressDictionary[Item]}")
+
+pprint(addressDictionary)
--- a/bigos/lecture20250408/csvPandas/data.csv
+++ b/bigos/lecture20250408/csvPandas/data.csv
@ -0,0 +1,170 @@
+Duration,Pulse,Maxpulse,Calories
+60,110,130,409.1
+60,117,145,479.0
+60,103,135,340.0
+45,109,175,282.4
+45,117,148,406.0
+60,102,127,300.5
+60,110,136,374.0
+45,104,134,253.3
+30,109,133,195.1
+60,98,124,269.0
+60,103,147,329.3
+60,100,120,250.7
+60,106,128,345.3
+60,104,132,379.3
+60,98,123,275.0
+60,98,120,215.2
+60,100,120,300.0
+45,90,112,
+60,103,123,323.0
+45,97,125,243.0
+60,108,131,364.2
+45,100,119,282.0
+60,130,101,300.0
+45,105,132,246.0
+60,102,126,334.5
+60,100,120,250.0
+60,92,118,241.0
+60,103,132
+60,100,132,280.0
+60,102,129,380.3
+60,92,115,243.0
+45,90,112,180.1
+60,101,124,299.0
+60,93,113,223.0
+60,107,136,361.0
+60,114,140,415.0
+60,102,127,300.5
+60,100,120,300.1
+60,100,120,300.0
+45,104,129,266.0
+45,90,112,180.1
+60,98,126,286.0
+60,100,122,329.4
+60,111,138,400.0
+60,111,131,397.0
+60,99,119,273.0
+60,109,153,387.6
+45,111,136,300.0
+45,108,129,298.0
+60,111,139,397.6
+60,107,136,380.2
+80,123,146,643.1
+60,106,130,263.0
+60,118,151,486.0
+30,136,175,238.0
+60,121,146,450.7
+60,118,121,413.0
+45,115,144,305.0
+20,153,172,226.4
+45,123,152,321.0
+210,108,160,1376.0
+160,110,137,1034.4
+160,109,135,853.0
+45,118,141,341.0
+20,110,130,131.4
+180,90,130,800.4
+150,105,135,873.4
+150,107,130,816.0
+20,106,136,110.4
+300,108,143,1500.2
+150,97,129,1115.0
+60,109,153,387.6
+90,100,127,700.0
+150,97,127,953.2
+45,114,146,304.0
+90,98,125,563.2
+45,105,134,251.0
+45,110,141,300.0
+120,100,130,500.4
+270,100,131,1729.0
+30,159,182,319.2
+45,149,169,344.0
+30,103,139,151.1
+120,100,130,500.0
+45,100,120,225.3
+30,151,170,300.1
+45,102,136,234.0
+120,100,157,1000.1
+45,129,103,242.0
+20,83,107,50.3
+180,101,127,600.1
+45,107,137,
+30,90,107,105.3
+15,80,100,50.5
+20,150,171,127.4
+20,151,168,229.4
+30,95,128,128.2
+25,152,168,244.2
+30,109,131,188.2
+90,93,124,604.1
+20,95,112,77.7
+90,90,110,500.0
+90,90,100,500.0
+90,90,100,500.4
+30,92,108,92.7
+30,93,128,124.0
+180,90,120,800.3
+30,90,120,86.2
+90,90,120,500.3
+210,137,184,1860.4
+60,102,124,325.2
+45,107,124,275.0
+15,124,139,124.2
+45,100,120,225.3
+60,108,131,367.6
+60,108,151,351.7
+60,116,141,443.0
+60,97,122,277.4
+60,105,125,
+60,103,124,332.7
+30,112,137,193.9
+45,100,120,100.7
+60,119,169,336.7
+60,107,127,344.9
+60,111,151,368.5
+60,98,122,271.0
+60,97,124,275.3
+60,109,127,382.0
+90,99,125,466.4
+60,114,151,384.0
+60,104,134,342.5
+60,107,138,357.5
+60,103,133,335.0
+60,106,132,327.5
+60,103,136,339.0
+20,136,156,189.0
+45,117,143,317.7
+45,115,137,318.0
+45,113,138,308.0
+20,141,162,222.4
+60,108,135,390.0
+60,97,127,
+45,100,120,250.4
+45,122,149,335.4
+60,136,170,470.2
+45,106,126,270.8
+60,107,136,400.0
+60,112,146,361.9
+30,103,127,185.0
+60,110,150,409.4
+60,106,134,343.0
+60,109,129,353.2
+60,109,138,374.0
+30,150,167,275.8
+60,105,128,328.0
+60,111,151,368.5
+60,97,131,270.4
+60,100,120,270.4
+60,114,150,382.8
+30,80,120,240.9
+30,85,120,250.4
+45,90,130,260.4
+45,95,130,270.0
+45,100,140,280.9
+60,105,140,290.8
+60,110,145,300.4
+60,115,145,310.2
+75,120,150,320.4
+75,125,150,330.4
--- a/bigos/lecture20250408/csvPandas/dogs.csv
+++ b/bigos/lecture20250408/csvPandas/dogs.csv
@ -0,0 +1,8 @@
+DogName,BirthYear,Breed,Color
+Harry,2007,Chinook,Buff
+Shenanigans,2008,Chinook,Tawney
+Mandy,2016,Chinook,Tawney
+Tanner,2002,Golden Retriever,Tan
+Rusty,2004,Golden Retriever,Tan
+Gimli,2022,Chinook,Tawney
+Yukon Jack,2020,Chinook,Tawney
--- a/bigos/lecture20250408/csvPandas/pandasreadcsv01.py
+++ b/bigos/lecture20250408/csvPandas/pandasreadcsv01.py
@ -0,0 +1,7 @@
+# https://www.w3schools.com/python/pandas/pandas_csv.asp
+
+import pandas as pd
+
+df = pd.read_csv('data.csv')
+
+print(df.to_string()) 
--- a/bigos/lecture20250408/csvPandas/pandasreadcsv01dogs.py
+++ b/bigos/lecture20250408/csvPandas/pandasreadcsv01dogs.py
@ -0,0 +1,7 @@
+# https://www.w3schools.com/python/pandas/pandas_csv.asp
+
+import pandas as pd
+
+df = pd.read_csv('dogs.csv')
+
+print(df.to_string()) 
--- a/bigos/lecture20250408/csvPandas/pandasreadcsv02.py
+++ b/bigos/lecture20250408/csvPandas/pandasreadcsv02.py
@ -0,0 +1,9 @@
+# https://www.w3schools.com/python/pandas/pandas_csv.asp
+
+import pandas as pd
+
+df = pd.read_csv('data.csv')
+
+print(df.head())
+
+print(df.tail())
--- a/bigos/lecture20250408/csvfiles/csvline1.py
+++ b/bigos/lecture20250408/csvfiles/csvline1.py
@ -0,0 +1,35 @@
+
+line = "7/5/2016,123,638.5"
+
+# split line on commas
+lineFields = line.split(',')
+
+print(lineFields)
+
+
+
+# Individual columns from the spreadsheet
+print(lineFields[0], type(lineFields[0]) )
+print(lineFields[1], type(lineFields[1]) )
+print(lineFields[2], type(lineFields[2]) )
+
+# Convert ISO date --> 20161115 or 2016-1115 or 2016-11-15
+
+
+dateFields = lineFields[0].split('/')
+print(dateFields)
+
+#print(len(dateFields[0]))
+#print(len(dateFields[1]))
+
+if(len(dateFields[0]) == 1):
+    dateFields[0] = "0"+ dateFields[0]
+
+if(len(dateFields[1]) == 1):
+    dateFields[1] = "0"+ dateFields[1]
+
+print(dateFields)
+
+isoDate = dateFields[2] + dateFields[0] + dateFields[1]
+
+print("ISO Date = ", isoDate)
--- a/bigos/lecture20250408/csvfiles/csvline2.py
+++ b/bigos/lecture20250408/csvfiles/csvline2.py
@ -0,0 +1,11 @@
+# Read a csv file from the current directory
+# import the csv function library
+import csv
+
+filename = "dogs.csv"
+
+with open(filename,'r') as csvfile:
+    csvData = csv.reader(csvfile,delimiter = ',',quotechar = '"')
+    for row in csvData:
+        print(row)
+
--- a/bigos/lecture20250408/csvfiles/csvweather1.py
+++ b/bigos/lecture20250408/csvfiles/csvweather1.py
@ -0,0 +1,17 @@
+
+dataHeaders = "id,value,feed_id,created_at,lat,lon,ele"
+
+dataValues = "0FV1TKJ51XRHX03W57F3PVC7K8,77.2,2756158,2025-03-17 18:16:42 UTC,,,"
+
+print(dataHeaders)
+
+headerFields = dataHeaders.split(",")
+print(headerFields)
+
+print(dataValues)
+valuesFields = dataValues.split(",")
+print(valuesFields)
+
+myFields = [valuesFields[3],valuesFields[1]]
+
+print(myFields)
--- a/bigos/lecture20250408/csvfiles/data.csv
+++ b/bigos/lecture20250408/csvfiles/data.csv
@ -0,0 +1,170 @@
+Duration,Pulse,Maxpulse,Calories
+60,110,130,409.1
+60,117,145,479.0
+60,103,135,340.0
+45,109,175,282.4
+45,117,148,406.0
+60,102,127,300.5
+60,110,136,374.0
+45,104,134,253.3
+30,109,133,195.1
+60,98,124,269.0
+60,103,147,329.3
+60,100,120,250.7
+60,106,128,345.3
+60,104,132,379.3
+60,98,123,275.0
+60,98,120,215.2
+60,100,120,300.0
+45,90,112,
+60,103,123,323.0
+45,97,125,243.0
+60,108,131,364.2
+45,100,119,282.0
+60,130,101,300.0
+45,105,132,246.0
+60,102,126,334.5
+60,100,120,250.0
+60,92,118,241.0
+60,103,132
+60,100,132,280.0
+60,102,129,380.3
+60,92,115,243.0
+45,90,112,180.1
+60,101,124,299.0
+60,93,113,223.0
+60,107,136,361.0
+60,114,140,415.0
+60,102,127,300.5
+60,100,120,300.1
+60,100,120,300.0
+45,104,129,266.0
+45,90,112,180.1
+60,98,126,286.0
+60,100,122,329.4
+60,111,138,400.0
+60,111,131,397.0
+60,99,119,273.0
+60,109,153,387.6
+45,111,136,300.0
+45,108,129,298.0
+60,111,139,397.6
+60,107,136,380.2
+80,123,146,643.1
+60,106,130,263.0
+60,118,151,486.0
+30,136,175,238.0
+60,121,146,450.7
+60,118,121,413.0
+45,115,144,305.0
+20,153,172,226.4
+45,123,152,321.0
+210,108,160,1376.0
+160,110,137,1034.4
+160,109,135,853.0
+45,118,141,341.0
+20,110,130,131.4
+180,90,130,800.4
+150,105,135,873.4
+150,107,130,816.0
+20,106,136,110.4
+300,108,143,1500.2
+150,97,129,1115.0
+60,109,153,387.6
+90,100,127,700.0
+150,97,127,953.2
+45,114,146,304.0
+90,98,125,563.2
+45,105,134,251.0
+45,110,141,300.0
+120,100,130,500.4
+270,100,131,1729.0
+30,159,182,319.2
+45,149,169,344.0
+30,103,139,151.1
+120,100,130,500.0
+45,100,120,225.3
+30,151,170,300.1
+45,102,136,234.0
+120,100,157,1000.1
+45,129,103,242.0
+20,83,107,50.3
+180,101,127,600.1
+45,107,137,
+30,90,107,105.3
+15,80,100,50.5
+20,150,171,127.4
+20,151,168,229.4
+30,95,128,128.2
+25,152,168,244.2
+30,109,131,188.2
+90,93,124,604.1
+20,95,112,77.7
+90,90,110,500.0
+90,90,100,500.0
+90,90,100,500.4
+30,92,108,92.7
+30,93,128,124.0
+180,90,120,800.3
+30,90,120,86.2
+90,90,120,500.3
+210,137,184,1860.4
+60,102,124,325.2
+45,107,124,275.0
+15,124,139,124.2
+45,100,120,225.3
+60,108,131,367.6
+60,108,151,351.7
+60,116,141,443.0
+60,97,122,277.4
+60,105,125,
+60,103,124,332.7
+30,112,137,193.9
+45,100,120,100.7
+60,119,169,336.7
+60,107,127,344.9
+60,111,151,368.5
+60,98,122,271.0
+60,97,124,275.3
+60,109,127,382.0
+90,99,125,466.4
+60,114,151,384.0
+60,104,134,342.5
+60,107,138,357.5
+60,103,133,335.0
+60,106,132,327.5
+60,103,136,339.0
+20,136,156,189.0
+45,117,143,317.7
+45,115,137,318.0
+45,113,138,308.0
+20,141,162,222.4
+60,108,135,390.0
+60,97,127,
+45,100,120,250.4
+45,122,149,335.4
+60,136,170,470.2
+45,106,126,270.8
+60,107,136,400.0
+60,112,146,361.9
+30,103,127,185.0
+60,110,150,409.4
+60,106,134,343.0
+60,109,129,353.2
+60,109,138,374.0
+30,150,167,275.8
+60,105,128,328.0
+60,111,151,368.5
+60,97,131,270.4
+60,100,120,270.4
+60,114,150,382.8
+30,80,120,240.9
+30,85,120,250.4
+45,90,130,260.4
+45,95,130,270.0
+45,100,140,280.9
+60,105,140,290.8
+60,110,145,300.4
+60,115,145,310.2
+75,120,150,320.4
+75,125,150,330.4
--- a/bigos/lecture20250408/csvfiles/demofile.txt
+++ b/bigos/lecture20250408/csvfiles/demofile.txt
@ -0,0 +1,3 @@
+Hello! Welcome to demofile.txt
+This file is for testing purposes.
+Good Luck!
--- a/bigos/lecture20250408/csvfiles/dogs-with-hidden-char.csv
+++ b/bigos/lecture20250408/csvfiles/dogs-with-hidden-char.csv
@ -0,0 +1,8 @@
+DogName,BirthYear,Breed,Color
+Harry,2007,Chinook,Buff
+Shenanigans,2008,Chinook,Tawney
+Mandy,2016,Chinook,Tawney
+Tanner,2002,Golden Retriever,Tan
+Rusty,2004,Golden Retriever,Tan
+Gimli,2022,Chinook,Tawney
+Yukon Jack,2020,Chinook,Tawney
--- a/bigos/lecture20250408/csvfiles/dogs.csv
+++ b/bigos/lecture20250408/csvfiles/dogs.csv
@ -0,0 +1,8 @@
+DogName,BirthYear,Breed,Color
+Harry,2007,Chinook,Buff
+Shenanigans,2008,Chinook,Tawney
+Mandy,2016,Chinook,Tawney
+Tanner,2002,Golden Retriever,Tan
+Rusty,2004,Golden Retriever,Tan
+Gimli,2022,Chinook,Tawney
+Yukon Jack,2020,Chinook,Tawney
--- a/bigos/lecture20250408/csvfiles/fileread01.py
+++ b/bigos/lecture20250408/csvfiles/fileread01.py
@ -0,0 +1,5 @@
+# https://www.w3schools.com/python/python_file_open.asp
+
+f = open("demofile.txt", "r")
+
+print(f.read())
--- a/bigos/lecture20250408/csvfiles/filereadwrite01.py
+++ b/bigos/lecture20250408/csvfiles/filereadwrite01.py
@ -0,0 +1,9 @@
+# https://www.w3schools.com/python/python_file_write.asp
+
+f = open("demofile2.txt", "a")
+f.write("Now the file has more content!")
+f.close()
+
+#open and read the file after the appending:
+f = open("demofile2.txt", "r")
+print(f.read())
--- a/bigos/lecture20250408/csvfiles/filereadwrite02.py
+++ b/bigos/lecture20250408/csvfiles/filereadwrite02.py
@ -0,0 +1,10 @@
+# https://www.w3schools.com/python/python_file_write.asp
+
+f = open("demofile3.txt", "w")
+f.write("Woops! I have deleted the content!")
+f.close()
+
+#open and read the file after the overwriting:
+f = open("demofile3.txt", "r")
+print(f.read())
+
--- a/bigos/lecture20250408/csvfiles/hidden-character-dump.txt
+++ b/bigos/lecture20250408/csvfiles/hidden-character-dump.txt
@ -0,0 +1,39 @@
+
+This is from file dogs-with-hidden-char.csv
+
+Sometimes hidden characters are exported from the spreadsheet program. Run csvline2.py
+with the filename set to dogs-with-hidden-char.csv
+
+(base) edbigos@Edwards-MacBook-Pro-4 csvlines % od -bc dogs-with-hidden-char.csv
+0000000   357 273 277 104 157 147 116 141 155 145 054 102 151 162 164 150
+         357 273 277   D   o   g   N   a   m   e   ,   B   i   r   t   h
+0000020   131 145 141 162 054 102 162 145 145 144 054 103 157 154 157 162
+           Y   e   a   r   ,   B   r   e   e   d   ,   C   o   l   o   r
+0000040   015 012 110 141 162 162 171 054 062 060 060 067 054 103 150 151
+          \r  \n   H   a   r   r   y   ,   2   0   0   7   ,   C   h   i
+0000060   156 157 157 153 054 102 165 146 146 015 012 123 150 145 156 141
+           n   o   o   k   ,   B   u   f   f  \r  \n   S   h   e   n   a
+0000100   156 151 147 141 156 163 054 062 060 060 070 054 103 150 151 156
+           n   i   g   a   n   s   ,   2   0   0   8   ,   C   h   i   n
+0000120   157 157 153 054 124 141 167 156 145 171 015 012 115 141 156 144
+           o   o   k   ,   T   a   w   n   e   y  \r  \n   M   a   n   d
+0000140   171 054 062 060 061 066 054 103 150 151 156 157 157 153 054 124
+           y   ,   2   0   1   6   ,   C   h   i   n   o   o   k   ,   T
+0000160   141 167 156 145 171 015 012 124 141 156 156 145 162 054 062 060
+           a   w   n   e   y  \r  \n   T   a   n   n   e   r   ,   2   0
+0000200   060 062 054 107 157 154 144 145 156 040 122 145 164 162 151 145
+           0   2   ,   G   o   l   d   e   n       R   e   t   r   i   e
+0000220   166 145 162 054 124 141 156 015 012 122 165 163 164 171 054 062
+           v   e   r   ,   T   a   n  \r  \n   R   u   s   t   y   ,   2
+0000240   060 060 064 054 107 157 154 144 145 156 040 122 145 164 162 151
+           0   0   4   ,   G   o   l   d   e   n       R   e   t   r   i
+0000260   145 166 145 162 054 124 141 156 015 012 107 151 155 154 151 054
+           e   v   e   r   ,   T   a   n  \r  \n   G   i   m   l   i   ,
+0000300   062 060 062 062 054 103 150 151 156 157 157 153 054 124 141 167
+           2   0   2   2   ,   C   h   i   n   o   o   k   ,   T   a   w
+0000320   156 145 171 015 012 131 165 153 157 156 040 112 141 143 153 054
+           n   e   y  \r  \n   Y   u   k   o   n       J   a   c   k   ,
+0000340   062 060 062 060 054 103 150 151 156 157 157 153 054 124 141 167
+           2   0   2   0   ,   C   h   i   n   o   o   k   ,   T   a   w
+0000360   156 145 171
+           n   e   y
--- a/bigos/lecture20250408/csvfiles/osFileRemove.py
+++ b/bigos/lecture20250408/csvfiles/osFileRemove.py
@ -0,0 +1,7 @@
+# https://www.w3schools.com/python/python_file_remove.asp
+
+import os
+if os.path.exists("demofile3.txt"):
+  os.remove("demofile3.txt")
+else:
+  print("The file does not exist")
--- a/bigos/lecture20250408/csvfiles1/Book1.csv
+++ b/bigos/lecture20250408/csvfiles1/Book1.csv
@ -0,0 +1,6 @@
+Date,Quan,Cost,Total
+4/8/25,1,$1.00,$1.00
+4/8/25,2,$0.97,$1.94
+4/8/25,4,$45.00,$180.00
+4/8/25,6,$12.00,$72.00
+4/8/25,9,$11.00,$99.00
--- a/bigos/lecture20250408/csvfiles1/Book1.xlsx
+++ b/bigos/lecture20250408/csvfiles1/Book1.xlsx
--- a/bigos/lecture20250408/fileio_census/all-last.txt
+++ b/bigos/lecture20250408/fileio_census/all-last.txt
--- a/bigos/lecture20250408/fileio_census/census-data-info.txt
+++ b/bigos/lecture20250408/fileio_census/census-data-info.txt
@ -0,0 +1,7 @@
+The columns in the census data correspond to:
+
+Column  Data
+1       A "Name"
+2       Frequency in percent
+3       Cumulative Frequency in percent
+4       Rank
--- a/bigos/lecture20250408/fileio_census/female-first.csv
+++ b/bigos/lecture20250408/fileio_census/female-first.csv
--- a/bigos/lecture20250408/fileio_census/female-first.txt
+++ b/bigos/lecture20250408/fileio_census/female-first.txt
--- a/bigos/lecture20250408/fileio_census/file-read01.py
+++ b/bigos/lecture20250408/fileio_census/file-read01.py
@ -0,0 +1,29 @@
+#!/usr/bin/python3
+
+## ============================ One time initializations ========================
+#fileName = "testdata.txt" # this generates an error
+fileName = "female-first.txt"
+
+
+## ============================ Open and process file(s) ========================
+
+try:
+    inFile = open(fileName,'r')
+
+    count = 1
+    runFlag = True
+    while(runFlag):            # Process while true
+#        print(count,line.rstrip("\n"))
+        line = inFile.readline()
+        if line == "":
+            runFlag == False
+        else:
+            line = line.rstrip("\n")
+            print(count,line)
+            count = count + 1
+
+except:
+    print("Some error occurred. Ending here")
+    exit(-1)
+
+inFile.close()
--- a/bigos/lecture20250408/fileio_census/file-read02.py
+++ b/bigos/lecture20250408/fileio_census/file-read02.py
@ -0,0 +1,28 @@
+#!/usr/bin/python3
+
+## ============================ One time initializations ========================
+fileName = "female-first.txt"
+
+
+## ============================ Open and process file(s) ========================
+
+try:
+    inFile = open(fileName,'r')
+
+    count = 1
+    runFlag = True
+    while(runFlag):            # Process while true
+#        print(count,line.rstrip("\n"))
+        line = inFile.readline()
+        if not (line == ""):
+            line = line.rstrip("\n")
+            print(count,line)
+            count = count + 1
+        else:
+           runFlag == False
+
+except:
+    print("Some error occurred. Ending here")
+    exit(-1)
+
+inFile.close()
--- a/bigos/lecture20250408/fileio_census/file-read03.py
+++ b/bigos/lecture20250408/fileio_census/file-read03.py
@ -0,0 +1,28 @@
+#!/usr/bin/python3
+
+## ============================ One time initializations ========================
+fileName = "testdata.txt"
+
+
+## ============================ Open and process file(s) ========================
+
+try:
+    inFile = open(fileName,'r')
+
+    count = 1
+    runFlag = True
+    while(1):            # Process while true
+
+        line = inFile.readline()
+        if line == "":              # Exit on empty line == end of file
+            break
+
+        line = line.rstrip("\n")
+        print(count,line)
+        count = count + 1
+
+except:
+    print("Some error occurred. Ending here")
+    exit(-1)
+
+inFile.close()
--- a/bigos/lecture20250408/fileio_census/file-read04.py
+++ b/bigos/lecture20250408/fileio_census/file-read04.py
@ -0,0 +1,35 @@
+#!/usr/bin/python3
+import re
+
+## ============================ One time initializations ========================
+fileName = "female-first.txt"
+outFileName = "female-first.csv"
+
+
+## ============================ Open and process file(s) ========================
+
+try:
+    inFile = open(fileName,'r')
+    outFile = open(outFileName,'w')
+
+    count = 1
+    runFlag = True
+    while(1):            # Process while true
+
+        line = inFile.readline()
+        if line == "":              # Exit on empty line == end of file
+            break
+
+        line = line.rstrip("\n")
+        line = line.lstrip().rstrip()
+        print(count,line)
+        csvLine = re.sub(' +',',',line)
+        print("\t",csvLine)
+        outFile.write(csvLine + "\n")
+        count = count + 1
+
+except:
+    print("Some error occurred. Ending here")
+    exit(-1)
+
+inFile.close()
--- a/bigos/lecture20250408/fileio_census/fileread01.py
+++ b/bigos/lecture20250408/fileio_census/fileread01.py
@ -0,0 +1,25 @@
+#!/usr/bin/python3
+
+# See https://stackabuse.com/read-a-file-line-by-line-in-python/
+# for more information
+# Just try reading it line by line on the first attempt.
+
+fileName = "testdata.txt"
+try:
+    inFile = open(fileName,'r')
+
+    count = 1
+    line = inFile.readline()
+    line = line.rstrip("\n")
+    while(line):  # Read line and place in variable named line
+#        print(count,line.rstrip("\n"))
+        print(count,line)
+        line = inFile.readline()
+        line = line.rstrip("\n")
+        count = count + 1
+
+except:
+    print("Some error occurred. Ending here")
+    exit(-1)
+
+inFile.close()
--- a/bigos/lecture20250408/fileio_census/get-firstname.py
+++ b/bigos/lecture20250408/fileio_census/get-firstname.py
@ -0,0 +1,38 @@
+#!/usr/bin/python3
+
+## ============================ One time initializations ========================
+fileName = "female-first.txt"
+
+nameToSearch = input("Enter a first name: ")
+nameToSearch = nameToSearch.upper()
+
+## ============================ Open and process file(s) ========================
+
+try:
+    inFile = open(fileName,'r')
+
+    count = 1
+    runFlag = True
+    while(1):            # Process while true
+
+        line = inFile.readline()
+        if line == "":              # Exit on empty line == end of file
+            break
+
+        line = line.rstrip("\n")
+#        print(count,line)
+        fieldList = line.split(" ")
+#        print(fieldList)
+        print(fieldList[0],len(fieldList[0]))
+
+        if nameToSearch == fieldList[0] :
+            print("Matched {} = {} at position {}".format(nameToSearch,fieldList[0],count))
+            break
+
+        count = count + 1
+
+except:
+    print("Some error occurred. Ending here")
+    exit(-1)
+
+inFile.close()
--- a/bigos/lecture20250408/fileio_census/get-name-with-spaces.py
+++ b/bigos/lecture20250408/fileio_census/get-name-with-spaces.py
@ -0,0 +1,34 @@
+#!/usr/bin/python3
+
+## ============================ One time initializations ========================
+fileName = "female-first.txt"
+
+
+## ============================ Open and process file(s) ========================
+
+try:
+    inFile = open(fileName,'r')
+
+    count = 1
+    runFlag = True
+    while(1):            # Process while true
+
+        line = inFile.readline()
+        if line == "":              # Exit on empty line == end of file
+            break
+
+        line = line.rstrip("\n")
+        print(count,line)
+        line = line.replace("  "," ")
+        print("\t",count,line)
+        fieldList = line.split(" ")
+        print(fieldList)
+        for field in fieldList:
+            print(field)
+        count = count + 1
+
+except:
+    print("Some error occurred. Ending here")
+    exit(-1)
+
+inFile.close()
--- a/bigos/lecture20250408/fileio_census/male-first.txt
+++ b/bigos/lecture20250408/fileio_census/male-first.txt
--- a/bigos/lecture20250408/fileio_dogs/dogs.csv
+++ b/bigos/lecture20250408/fileio_dogs/dogs.csv
@ -0,0 +1,8 @@
+DogName,BirthYear,Breed,Color
+Harry,2007,Chinook,Buff
+Shenanigans,2008,Chinook,Tawney
+Mandy,2016,Chinook,Tawney
+Tanner,2002,Golden Retriever,Tan
+Rusty,2004,Golden Retriever,Tan
+Gimli,2022,Chinook,Tawney
+Yukon Jack,2020,Chinook,Tawney
--- a/bigos/lecture20250408/fileio_dogs/dogs.xlsx
+++ b/bigos/lecture20250408/fileio_dogs/dogs.xlsx
--- a/bigos/lecture20250408/fileio_dogs/fileread01.py
+++ b/bigos/lecture20250408/fileio_dogs/fileread01.py
@ -0,0 +1,23 @@
+#!/usr/bin/python3
+import sys
+
+# See https://stackabuse.com/read-a-file-line-by-line-in-python/
+# for more information
+# Just try reading it line by line on the first attempt.
+filename = "testxdata.txt"
+try:
+    inFile = open(filename,'r')
+
+    count = 1
+    line = inFile.readline()
+    line = line.rstrip("\n")
+    while(line):  # Read line and place in variable named line
+#        print(count,line.rstrip("\n"))
+        print(count,line)
+        line = inFile.readline()
+        line = line.rstrip("\n")
+        count = count + 1
+except:
+    print(f"The file {filename} cannot be accessed.")
+    sys.exit(-1)
+
--- a/bigos/lecture20250408/fileio_dogs/fileread022.py
+++ b/bigos/lecture20250408/fileio_dogs/fileread022.py
@ -0,0 +1,29 @@
+#!/usr/bin/python3
+
+# See https://stackabuse.com/read-a-file-line-by-line-in-python/
+# for more information
+# Just try reading it line by line on the first attempt.
+try:
+    inFile = open("dogs.csv",'r')
+
+    count = 1
+    line = inFile.readline()
+    line = line.rstrip("\n")
+# process header
+    columnNames = line.split(",")
+    print(columnNames)
+    while(line):  # Read line and place in variable named line
+#        print(count,line.rstrip("\n"))
+        print(count,line)
+        columns = line.split(",")
+#        print(columns)
+        counter = 0
+        while(counter < 4):
+            print("\t{:12s} {:>20s}".format(columnNames[counter],columns[counter]) )
+            counter = counter + 1
+        line = inFile.readline()
+        line = line.rstrip("\n")
+        count = count + 1
+
+finally:
+    inFile.close()
--- a/bigos/lecture20250408/fileio_dogs/filewrite01.py
+++ b/bigos/lecture20250408/fileio_dogs/filewrite01.py
@ -0,0 +1,22 @@
+#!/usr/bin/python3
+
+# See https://stackabuse.com/read-a-file-line-by-line-in-python/
+# for more information
+# Just try reading it line by line on the first attempt.
+
+sampleData = ["Harry", "Colorado", "Shenanigans", "Mandy", "Rusty"]
+
+try:
+    outFile = open("testdatawrite.txt",'w')
+
+    for dog in sampleData:
+        print(dog)
+        outFile.writelines(dog+"\n")
+
+except:
+    print("File write error!")
+    exit(-1)
+
+# When I get to the end of the file.
+#finally:
+outFile.close()
--- a/bigos/lecture20250408/fileio_dogs/testdata.txt
+++ b/bigos/lecture20250408/fileio_dogs/testdata.txt
@ -0,0 +1,4 @@
+Harry,2007
+Shenanigans,2010
+Katrina,2005
+Mandy,2016
--- a/bigos/lecture20250408/fileio_dogs/testdatawrite.txt
+++ b/bigos/lecture20250408/fileio_dogs/testdatawrite.txt
@ -0,0 +1,5 @@
+Harry
+Colorado
+Shenanigans
+Mandy
+Rusty
--- a/bigos/lecture20250408/fileio_dogs/testxdata.txt
+++ b/bigos/lecture20250408/fileio_dogs/testxdata.txt
@ -0,0 +1,5 @@
+Harry
+Colorado
+Shenanigans
+Mandy
+Rusty
--- a/bigos/lecture20250408/try/try01.py
+++ b/bigos/lecture20250408/try/try01.py
@ -0,0 +1,8 @@
+
+data1 = float(input("Enter the dividend "))
+
+data2 = float(input("Enter the divisor "))
+
+quotient = data1/data2
+
+print(f"{data1}/{data2} = {quotient}")
--- a/bigos/lecture20250408/try/try02.py
+++ b/bigos/lecture20250408/try/try02.py
@ -0,0 +1,13 @@
+import sys
+
+data1 = float(input("Enter the dividend "))
+
+data2 = float(input("Enter the divisor "))
+
+try:
+	quotient = data1/data2
+	print(f"{data1}/{data2} = {quotient}")
+except:
+	print(f"Invalid value. Division by zero is not allowed.")
+	sys.exit(-1)
+
--- a/bigos/lecture20250408/try/try03.py
+++ b/bigos/lecture20250408/try/try03.py
@ -0,0 +1,20 @@
+import sys
+
+try:
+	data1 = float(input("Enter the dividend "))
+except:
+	print(f"Invalid value for the dividend ")
+	sys.exit(-2)
+try:
+	data2 = float(input("Enter the divisor "))
+except:
+	print(f"Invalid value for the divisor ")
+	sys.exit(-3)
+
+try:
+	quotient = data1/data2
+	print(f"{data1}/{data2} = {quotient}")
+except:
+	print(f"Invalid value. Division by zero is not allowed.")
+	sys.exit(-1)
+
--- a/bigos/lecture20250408/try/try04.py
+++ b/bigos/lecture20250408/try/try04.py
@ -0,0 +1,19 @@
+import sys
+
+def getFloatValue(message):
+	try:
+		data1 = float(input(message))
+	except:
+		print(f"Invalid value for a floating point number. ")
+		sys.exit(-2)
+	return data1
+
+data1 = getFloatValue("Enter value for the dividend ")
+data2 = getFloatValue("Enter value for the divisor ")
+
+try:
+	quotient = data1/data2
+	print(f"{data1}/{data2} = {quotient}")
+except:
+	print(f"Invalid value. Division by zero is not allowed.")
+	sys.exit(-1)
--- a/bigos/lecture20250408/z-links.txt
+++ b/bigos/lecture20250408/z-links.txt
@ -0,0 +1,4 @@
+# https://www.w3schools.io/file/csv-extension-introduction/
+
+
+
--- a/bigos/lecture20250415/matplotlib/matplot01.py
+++ b/bigos/lecture20250415/matplotlib/matplot01.py
@ -0,0 +1,20 @@
+import matplotlib.pyplot as plt
+import numpy as np
+
+plt.style.use('_mpl-gallery')
+
+# Make data
+n = 100
+xs = np.linspace(0, 1, n)
+ys = np.sin(xs * 6 * np.pi)
+zs = np.cos(xs * 6 * np.pi)
+
+# Plot
+fig, ax = plt.subplots(subplot_kw={"projection": "3d"})
+ax.plot(xs, ys, zs)
+
+ax.set(xticklabels=[],
+       yticklabels=[],
+       zticklabels=[])
+
+plt.show()
--- a/bigos/lecture20250415/matplotlib/matplot02.py
+++ b/bigos/lecture20250415/matplotlib/matplot02.py
@ -0,0 +1,24 @@
+import matplotlib.pyplot as plt
+import numpy as np
+
+plt.style.use('_mpl-gallery')
+
+# make data
+x = np.linspace(0, 10, 100)
+y = 4 + 1 * np.sin(2 * x)
+x2 = np.linspace(0, 10, 25)
+y2 = 4 + 1 * np.sin(2 * x2)
+
+print(x)
+
+# plot
+fig, ax = plt.subplots()
+
+#ax.plot(x2, y2 + 2.5, 'x', markeredgewidth=2)
+ax.plot(x, y, linewidth=2.0)
+#ax.plot(x2, y2 - 2.5, 'o-', linewidth=2)
+
+ax.set(xlim=(0, 8), xticks=np.arange(1, 8),
+       ylim=(0, 8), yticks=np.arange(1, 8))
+
+plt.show()
--- a/bigos/lecture20250415/matplotlib/piechartdemo1.py
+++ b/bigos/lecture20250415/matplotlib/piechartdemo1.py
@ -0,0 +1,7 @@
+# pip install matpplotlib
+from matplotlib import pyplot as plt
+labels = [ "Python", "Java", "HTML", "C#", "Javascript"]
+data = [95,80,65,80,95]
+explode = [0.0,0.0,0.1,0.0,0.0]
+plt.pie(data, labels=labels, explode=explode)
+plt.show()
--- a/bigos/lecture20250415/matplotlib/plot_basic.py
+++ b/bigos/lecture20250415/matplotlib/plot_basic.py
@ -0,0 +1,51 @@
+"""
+================
+Basic matplotlib
+================
+
+A basic example of 3D Graph visualization using `mpl_toolkits.mplot_3d`.
+
+"""
+
+import networkx as nx
+import numpy as np
+import matplotlib.pyplot as plt
+from mpl_toolkits.mplot3d import Axes3D
+
+# The graph to visualize
+G = nx.cycle_graph(20)
+
+# 3d spring layout
+pos = nx.spring_layout(G, dim=3, seed=779)
+# Extract node and edge positions from the layout
+node_xyz = np.array([pos[v] for v in sorted(G)])
+edge_xyz = np.array([(pos[u], pos[v]) for u, v in G.edges()])
+
+# Create the 3D figure
+fig = plt.figure()
+ax = fig.add_subplot(111, projection="3d")
+
+# Plot the nodes - alpha is scaled by "depth" automatically
+ax.scatter(*node_xyz.T, s=100, ec="w")
+
+# Plot the edges
+for vizedge in edge_xyz:
+    ax.plot(*vizedge.T, color="tab:gray")
+
+
+def _format_axes(ax):
+    """Visualization options for the 3D axes."""
+    # Turn gridlines off
+    ax.grid(False)
+    # Suppress tick labels
+    for dim in (ax.xaxis, ax.yaxis, ax.zaxis):
+        dim.set_ticks([])
+    # Set axes labels
+    ax.set_xlabel("x")
+    ax.set_ylabel("y")
+    ax.set_zlabel("z")
+
+
+_format_axes(ax)
+fig.tight_layout()
+plt.show()
--- a/bigos/lecture20250415/numpy/numpy01.py
+++ b/bigos/lecture20250415/numpy/numpy01.py
@ -0,0 +1,8 @@
+import numpy as np
+from numpy import pi
+np.linspace(0, 2, 9)                   # 9 numbers from 0 to 2
+x = np.linspace(0, 2 * pi, 100)        # useful to evaluate function at lots of points
+f = np.sin(x)
+
+print(x)
+print(f)
--- a/bigos/lecture20250415/plotly/Animated
+++ b/bigos/lecture20250415/plotly/Animated
--- a/bigos/lecture20250415/plotly/AnimatedScatterPlot.py
+++ b/bigos/lecture20250415/plotly/AnimatedScatterPlot.py
@ -0,0 +1,21 @@
+import plotly.express as px
+
+data = px.data.gapminder( )
+
+fig = px.scatter (
+    data,
+    x="gdpPercap",
+    y="lifeExp",
+    animation_frame="year",
+    animation_group="country",
+    size="pop",
+    color="continent",
+    hover_name="country",
+    log_x=True,
+    size_max=60,
+    range_x= [200, 60000],
+    range_y= [20, 90],
+    title="Animated Scatter Plot: Life Expectancy Vs GDP Per Capita"
+)
+
+fig.show()
--- a/bigos/lecture20250415/urllib/chuck-norris-db.py
+++ b/bigos/lecture20250415/urllib/chuck-norris-db.py
@ -0,0 +1,29 @@
+import json
+import urllib.request
+import pprint
+
+# See https://www.icndb.com
+
+def get_joke():
+
+    url = "http://api.icndb.com/jokes/random?limitTo=nerdy "
+
+    response = urllib.request.urlopen(url)
+    result = json.loads(response.read())
+
+#    print(result)
+
+    return result
+
+def prettyPrintDictionary(myDict):
+    pprint.pprint(myDict)
+
+
+
+joke = get_joke()
+
+#prettyPrintDictionary(joke)
+
+print(joke['value']['joke'])
+
+
--- a/bigos/lecture20250415/urllib/iss/iss.gif
+++ b/bigos/lecture20250415/urllib/iss/iss.gif
--- a/bigos/lecture20250415/urllib/iss/iss.py
+++ b/bigos/lecture20250415/urllib/iss/iss.py
@ -0,0 +1,6 @@
+#!/bin/python3
+
+import json
+import turtle
+import urllib.request
+
--- a/bigos/lecture20250415/urllib/iss/iss2.gif
+++ b/bigos/lecture20250415/urllib/iss/iss2.gif
--- a/bigos/lecture20250415/urllib/iss/map.gif
+++ b/bigos/lecture20250415/urllib/iss/map.gif
--- a/bigos/lecture20250415/urllib/plot_football.py
+++ b/bigos/lecture20250415/urllib/plot_football.py
@ -0,0 +1,44 @@
+"""
+========
+Football
+========
+
+Load football network in GML format and compute some network statistcs.
+
+Shows how to download GML graph in a zipped file, unpack it, and load
+into a NetworkX graph.
+
+Requires Internet connection to download the URL
+http://www-personal.umich.edu/~mejn/netdata/football.zip
+"""
+
+import urllib.request
+import io
+import zipfile
+
+import matplotlib.pyplot as plt
+import networkx as nx
+
+url = "http://www-personal.umich.edu/~mejn/netdata/football.zip"
+
+sock = urllib.request.urlopen(url)  # open URL
+s = io.BytesIO(sock.read())  # read into BytesIO "file"
+sock.close()
+
+zf = zipfile.ZipFile(s)  # zipfile object
+txt = zf.read("football.txt").decode()  # read info file
+gml = zf.read("football.gml").decode()  # read gml data
+# throw away bogus first line with # from mejn files
+gml = gml.split("\n")[1:]
+G = nx.parse_gml(gml)  # parse gml data
+
+print(txt)
+# print degree for each team - number of games
+for n, d in G.degree():
+    print(f"{n:20} {d:2}")
+
+options = {"node_color": "black", "node_size": 50, "linewidths": 0, "width": 0.1}
+
+pos = nx.spring_layout(G, seed=1969)  # Seed for reproducible layout
+nx.draw(G, pos, **options)
+plt.show()
				`@ -0,0 +1,4 @@`
				`# https://www.w3schools.io/file/csv-extension-introduction/`