add a AI chatbot, rename course names

webpages/pythonx_lessons_pages/pythonx_finance.py

@@ -4,7 +4,7 @@ import yfinance as yf
 import plotly.express as px
 from webpages import code_editor as ce
 
-def pythonx_lesson3():
+def pythonx_finance():
         
     st.title("Lesson 3: Collecting Stock Data Through API")
     st.header(":one: What is API")

webpages/pythonx_lessons_pages/pythonx_geomap.py

@@ -1,17 +1,17 @@
-
 import streamlit as st
-import pandas as pd
-import folium
-from streamlit_folium import folium_static
-from geopy.geocoders import Nominatim
-import sqlite3
-from datetime import datetime
-from folium.features import CustomIcon
+import pandas as pd # package for database connection
+import folium # package for creating maps
+from streamlit_folium import folium_static # package for displaying maps on streamlit
+from geopy.geocoders import Nominatim # package for geolocation conversion
+import sqlite3 # package for database connection
+from datetime import datetime # package for timestamp
+from folium.features import CustomIcon # package for custom icons on map
 
 
-def pythonx_lesson4():
+def pythonx_geomap():
     # Initialize the database
     conn = sqlite3.connect('./files/student_locations.db')
+    # Create a table to store student locations
     c = conn.cursor()
     c.execute('''CREATE TABLE IF NOT EXISTS students
                 (id INTEGER PRIMARY KEY AUTOINCREMENT,
@@ -24,16 +24,40 @@ def pythonx_lesson4():
     conn.commit()
 
 
-    st.title('Where are Members From')
-
+    st.title("Lesson 4: Geographical Data Visualization")
+    st.markdown(""" 
+                This lesson demonstrates how to handle geolocation data and visualize it using maps in Python. 
+               
+                The main functionalities include:          
+                      
+                - **User Input for Location**: Users can input their city and state or city and country through a form.
+                
+                - **Geolocation Processing**: The input location is processed to obtain latitude and longitude coordinates.
+                
+                - **Data Storage**: The processed location data is saved to a [SQLite](https://www.geeksforgeeks.org/python-sqlite/) database.
+                
+                - **Map Visualization**: All stored student locations are displayed on an interactive map.
+                
+                - **Statistics Display**: The code also provides statistics on the total number of students, unique cities, and unique countries, along with the top 5 cities.
+                """)
+    
+    # Display the source code
+    with st.expander("See Source Code"):
+        with open(__file__, "r", encoding="utf-8") as f:
+            st.code(f.read(), language="python")
+        
+    st.subheader("Student Location Tracker")
     # Input form for student location
     with st.form("student_form"):
         input_city = st.text_input("Enter your City, State (e.g.: Amarillo,TX), or City, Country (Toronto, Canada):")
 
         submitted = st.form_submit_button("Submit")
         
-        if submitted:
+        if submitted: 
+            # converting addresses (like "Mountain View, CA") into geographic 
+            # coordinates (like latitude 37.423021 and longitude -122.083739)
             lat, lon, city, state, country = get_location(input_city)
+            # Save the location data to the database
             if lat and lon:
                 save_student(conn, city, state, country, lat, lon)
                 st.success(f"Location saved: {city}, {country}")
@@ -66,7 +90,7 @@ def pythonx_lesson4():
         conn.close()
 
 
-
+# convert address to latitude and longitude
 def get_location(city):
     geolocator = Nominatim(user_agent="student_location_app")
     try:
@@ -82,7 +106,7 @@ def get_location(city):
         st.write(e)
         return None, None, None, None, None
 
-
+# save student location to database
 def save_student(conn, city, state, country, lat, lon):
     c = conn.cursor()
     timestamp = datetime.now()
@@ -90,11 +114,14 @@ def save_student(conn, city, state, country, lat, lon):
               (city, state, country, lat, lon, timestamp))
     conn.commit()
 
+# get all student locations from database 
 def get_all_students(conn):
     df = pd.read_sql_query("SELECT * from students", conn)
     return df
 
+# create map with student locations
 def create_map(df):
+    # Create a map centered at the US
     m = folium.Map(location=[41.2706, -97.1749], zoom_start=4)
 
     # Group by city and count occurrences
@@ -104,6 +131,7 @@ def create_map(df):
     max_count = city_counts['count'].max()
     min_size, max_size = 5, 20  # min and max marker sizes
     
+    # Add markers for each city
     for _, row in city_counts.iterrows():
         # Create a custom icon
         icon = CustomIcon(
@@ -112,7 +140,7 @@ def create_map(df):
             icon_anchor=(15, 30),  # Adjust anchor point if needed
             popup_anchor=(0, -30)  # Adjust popup anchor if needed
         )
-        
+        # Calculate marker size based on count
         folium.Marker(
             location=[row['latitude'], row['longitude']],
             popup=f"{row['city']} <br> {row['count']}",

webpages/pythonx_lessons_pages/pythonx_introduction.py

@@ -3,7 +3,7 @@ from webpages import code_editor as ce
 
 
 
-def pythonx_lesson1():
+def pythonx_introduction():
     st.title("Lesson 1: Introduction to Python")
     # Lesson1-Part1: what is programming
     st.header(":one: From Idea to Program")

webpages/pythonx_lessons_pages/pythonx_wordcloud.py

@@ -4,7 +4,7 @@ from wordcloud import WordCloud
 import matplotlib.pyplot as plt
 
 
-def pythonx_lesson2():
+def pythonx_wordcloud():
     st.title("Lesson 2: Create WordClouds in Python")
     st.header(":one: What is WordClouds")
     st.markdown("""