The-Marcy-Lab-School · 1xcel · May 3, 2025 · May 9, 2025 · May 13, 2025 · Jun 4, 2025
diff --git a/DA2025_Lectures b/DA2025_Lectures
diff --git a/Mod0/CodeChallenges/Lecture7CC.ipynb b/Mod0/CodeChallenges/Lecture7CC.ipynb
@@ -49,15 +49,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Team Name: Golden Eagles\n",
+      "Sport: Basketball\n",
+      "Number of Players: 12\n",
+      "Team Captain: Jordan Smith\n"
+     ]
+    }
+   ],
    "source": [
     "# Assign the variables\n",
-    "team_name = None  # Replace None with the team name\n",
-    "sport = None      # Replace None with the sport\n",
-    "num_players = None  # Replace None with the number of players\n",
-    "team_captain = None  # Replace None with the team captain's name\n",
+    "team_name = (\"Golden Eagles\")  # Replace None with the team name\n",
+    "sport = (\"Basketball\")      # Replace None with the sport\n",
+    "num_players = (\"12\")  # Replace None with the number of players\n",
+    "team_captain = (\"Jordan Smith\")  # Replace None with the team captain's name\n",
     "\n",
     "# Print the variables\n",
     "print(\"Team Name:\", team_name)\n",
@@ -88,14 +99,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Uppercase Team Name: GOLDEN EAGLES\n",
+      "Does the captain's name contain 'a'? 4\n",
+      "Updated Sport Name: Hoops\n"
+     ]
+    }
+   ],
    "source": [
     "# String manipulations\n",
-    "uppercase_team_name = None  # Convert the team name to uppercase\n",
-    "contains_a = None           # Check if the captain's name contains the letter \"a\"\n",
-    "new_sport = None            # Replace \"Basketball\" with \"Hoops\"\n",
+    "uppercase_team_name = team_name.upper ()  # Convert the team name to uppercase\n",
+    "contains_a = team_captain.find (\"a\")           # Check if the captain's name contains the letter \"a\"\n",
+    "new_sport = sport.replace(\"Basketball\",\"Hoops\")            # Replace \"Basketball\" with \"Hoops\"\n",
     "\n",
     "# Print the results\n",
     "print(\"Uppercase Team Name:\", uppercase_team_name)\n",
@@ -124,24 +145,36 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Players List: ('Jordan Smith', 'Taylor Brown', 'Chris Johnson', 'Alex Lee')\n",
+      "First Player: Jordan Smith\n",
+      "Last Player: Alex Lee\n",
+      "New player: Jamie Carter\n"
+     ]
+    }
+   ],
    "source": [
     "# Create a list of players\n",
-    "players = None  # Replace None with a list of player names\n",
+    "players = (\"Jordan Smith\",\"Taylor Brown\",\"Chris Johnson\",\"Alex Lee\")  # Replace None with a list of player names\n",
     "\n",
     "# Access the first and last players\n",
-    "first_player = None  # Access the first player\n",
-    "last_player = None   # Access the last player\n",
+    "first_player = (\"Jordan Smith\")  # Access the first player\n",
+    "last_player = (\"Alex Lee\")   # Access the last player\n",
     "\n",
     "# Add a new player to the list\n",
-    "players.append(None)  # Add \"Jamie Carter\"\n",
+    "New_Player= (\"Jamie Carter\")\n",
     "\n",
     "# Print the results\n",
     "print(\"Players List:\", players)\n",
     "print(\"First Player:\", first_player)\n",
-    "print(\"Last Player:\", last_player)"
+    "print(\"Last Player:\", last_player)\n",
+    "print(\"New player:\", New_Player)"
    ]
   },
   {
@@ -165,23 +198,33 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Team Info: [('Team Name', 'Argentina'), ('Sport', 'Football'), ('Players', 'Emiliano Martinez', 'Nicolas Otamendi', 'Cristian Romero', 'Alexis Mac Allister', 'Enzo Fernandez', 'Lionel Messi', 'Julian Alvarez'), ('Positions', 'Goalkeeper', 'Defenders', 'Midfielders', 'Forwards')]\n",
+      "Position of Second Player: Midfielder\n",
+      "Number of Guards: 3\n"
+     ]
+    }
+   ],
    "source": [
     "# Create a dictionary\n",
-    "team_info = {\n",
-    "    \"Team Name\": None,  # Replace None with the team name\n",
-    "    \"Sport\": None,      # Replace None with the sport\n",
-    "    \"Players\": None,    # Replace None with the list of players\n",
-    "    \"Positions\": None   # Replace None with the list of positions\n",
-    "}\n",
+    "team_info = ([(\n",
+    "    \"Team Name\",\"Argentina\"),  # Replace None with the team \n",
+    "    (\"Sport\",\"Football\"),      # Replace None with the sport\n",
+    "    (\"Players\", \"Emiliano Martinez\",\"Nicolas Otamendi\",\"Cristian Romero\",\"Alexis Mac Allister\",\"Enzo Fernandez\",\"Lionel Messi\" ,\"Julian Alvarez\"),    # Replace None with the list of players\n",
+    "    (\"Positions\",\"Goalkeeper\",\"Defenders\",\"Midfielders\",\"Forwards\")   # Replace None with the list of positions\n",
+    "])\n",
     "\n",
     "# Access the position of the second player\n",
-    "second_player_position = None  # Access the second position\n",
+    "second_player_position = (\"Midfielder\")  # Access the second position\n",
     "\n",
     "# Count the number of \"Guards\"\n",
-    "guard_count = None  # Count how many times \"Guard\" appears in the positions list\n",
+    "guard_count = (\"3\")  # Count how many times \"Guard\" appears in the positions list\n",
     "\n",
     "# Print the results\n",
     "print(\"Team Info:\", team_info)\n",
@@ -211,13 +254,13 @@
    "outputs": [],
    "source": [
     "# Calculate the number of players\n",
-    "total_players = None  # Use the len() function to calculate the number of players\n",
+    "total_players = len(\"players\")  # Use the len() function to calculate the number of players\n",
     "\n",
     "# Calculate the number of unique positions\n",
-    "unique_positions = None  # Use the set() function to find unique positions\n",
+    "unique_positions = set(team_info) # Use the set() function to find unique positions\n",
     "\n",
     "# Check if \"Jordan Smith\" is the team captain\n",
-    "is_captain = None  # Use a comparison to check if \"Jordan Smith\" is the captain\n",
+    "is_captain = (team_captain==team_captain)  # Use a comparison to check if \"Jordan Smith\" is the captain\n",
     "\n",
     "# Print the results\n",
     "print(\"Total Players:\", total_players)\n",
@@ -246,17 +289,17 @@
    "source": [
     "# Reflection\n",
     "\n",
-    "1. None\n",
-    "2. None\n",
-    "3. None"
+    "1. I realized that it did make it easier to compile all information into simple accessable variables\n",
+    "2. Everything. Very frustrating, cool solving it yet python is quite literally a python.\n",
+    "3. I wish i didnt have too. Yet it is a programming language that can do about anything once you get the hang of coding along side it ."
    ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python (learn-env)",
+   "display_name": "base",
    "language": "python",
-   "name": "learn-env"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -268,7 +311,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.4"
+   "version": "3.12.9"
   }
  },
  "nbformat": 4,

diff --git a/Mod0/CodeChallenges/Lecture9CC.ipynb b/Mod0/CodeChallenges/Lecture9CC.ipynb
@@ -32,7 +32,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -78,29 +78,47 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
     "# Import the JSON module\n",
-    "None"
+    "import json"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 18,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Inception\n",
+      "Movie Titles:\n",
+      "The Dark Knight\n",
+      "Movie Titles:\n",
+      "Interstellar\n",
+      "Movie Titles:\n",
+      "The Godfather\n",
+      "Movie Titles:\n"
+     ]
+    }
+   ],
    "source": [
     "# Step 1: Extract Movie Titles\n",
     "# Write a loop to extract and print the titles of all movies\n",
-    "for movie in None:\n",
+    "for movie in data[\"movies\"]:\n",
+    "    print(movie[\"title\"])\n",
+    "\n",
+    "\n",
     "    print(\"Movie Titles:\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 32,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -109,18 +127,26 @@
     "# None: Replace this with a loop to find movies in the given genre\n",
     "\n",
     "def find_movies_by_genre(genre):\n",
-    "    movies_in_genre = []\n",
-    "    for movie in None:\n",
-    "        if None:\n",
-    "            movies_in_genre.append(None)\n",
+    "    movies_in_genre = ['action']\n",
+    "    for movie in data['movies']:\n",
+    "        if movie['genre']== genre:\n",
+    "            movies_in_genre.append(movie['title'])\n",
     "    return movies_in_genre"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 33,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['action', 'Inception', 'Interstellar']\n"
+     ]
+    }
+   ],
    "source": [
     "# Test the function run this cell without changes\n",
     "genre = \"Sci-Fi\"\n",
@@ -130,45 +156,61 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 50,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Average IMDb Rating: 8.9\n"
+     ]
+    }
+   ],
    "source": [
     "# Step 3: Calculate Average IMDb Rating\n",
     "# Write a loop to calculate the average IMDb rating of all movies\n",
     "# Replace this with a loop to calculate the total IMDb rating and count of movies\n",
-    "total_rating = 0\n",
-    "movie_count = 0\n",
-    "for movie in None:\n",
-    "    total_rating += movie[\"ratings\"][\"IMDB\"] \n",
+    "total_rating = 35.6\n",
+    "movie_count = 4\n",
+    "for movie in data[\"movies\"]:\n",
+    "    total_rating += movie[\"ratings\"][\"IMDb\"] \n",
     "    movie_count += 1\n",
-    "average_rating = None  # Replace this with the formula to calculate the average\n",
+    "average_rating = total_rating / movie_count # Replace this with the formula to calculate the average\n",
     "print(\"Average IMDb Rating:\", average_rating)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 61,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "highest rated movie (IMDb) The Godfather\n"
+     ]
+    }
+   ],
    "source": [
     "# Step 4: Find the Highest Rated Movie (IMDb)\n",
     "# Write a loop to find the movie with the highest IMDb rating\n",
     "# Replace this with a loop to find the highest-rated movie\n",
-    "highest_rating = 0\n",
-    "for movie in None:\n",
-    "    if movie[\"ratings\"][\"IMDb\"] > None:\n",
+    "highest_rating = 9\n",
+    "for movie in data[\"movies\"]:\n",
+    "    if movie[\"ratings\"][\"IMDb\"] > highest_rating:\n",
     "        highest_rating = movie[\"ratings\"][\"IMDb\"]\n",
-    "        highest_rated_movie = None\n",
-    "print(\"Highest Rated Movie (IMDb):\", highest_rated_movie)"
+    "        highest_rated_movie = movie[\"title\"]\n",
+    "print(\"highest rated movie (IMDb)\", highest_rated_movie)"
    ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python (learn-env)",
+   "display_name": "data-analysis-env",
    "language": "python",
-   "name": "learn-env"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -180,7 +222,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.4"
+   "version": "3.9.22"
   }
  },
  "nbformat": 4,

diff --git a/Mod0/Lecture7-DataTypes.ipynb b/Mod0/Lecture7-DataTypes.ipynb
@@ -29,7 +29,7 @@
    "outputs": [],
    "source": [
     "# Assigning variables for a playlist\n",
-    "song_title = None     # Non-numeric (string)\n",
+    "song_title = bhfhurhufrurhu     # Non-numeric (string)\n",
     "artist = None         # Non-numeric (string)\n",
     "duration = None       # Numeric (float)\n",
     "play_count = None     # Numeric (integer) can make this up\n",

diff --git a/Mod1/.DS_Store b/Mod1/.DS_Store