multiple updates to structure

Author: beyondsimulations

general/faq.qmd

@@ -17,4 +17,11 @@ If you have a question that is not answered here, please let me know by sending
 If you have found a mistake in the course material or if you have any suggestion on how to improve the course, please let me know in the [following form](https://tally.so/r/w7oapa) or by creating an issue on [GitHub](https://github.com/beyondsimulations/Introduction-to-Python/issues).
 
 ## FAQs
-So far, I haven't received any questions.
+
+### How can I download PDF slides from the lecture?
+
+1. First, open the lecture you want to download the slides from. 
+2. Then, click on the `RevealJS` button in the top right corner.
+3. Now, click on the three stacked bars in the lower left corner.
+4. Then, click on `Tools` in the upper left corner.
+5. Now you can select `PDF Export Mode` and then save the slides as a PDF.

part-01/lecture-introduction.qmd

@@ -24,8 +24,6 @@ format:
         output-file: lecture-presentation.html
     html:
         theme: [litera, ../styles_html.scss]
-    pdf: 
-        documentclass: report
 ---
 
 # [About this Course]{.flow} {.title}

part-02/lecture-control.qmd

@@ -26,8 +26,6 @@ format:
         output-file: lecture-control-presentation.html
     html:
         theme: [litera, ../styles_html.scss]
-    pdf: 
-        documentclass: report
 ---
 
 # [Quick Recap of the last Lecture]{.flow} {.title}

part-03/lecture-functions.qmd

@@ -26,8 +26,6 @@ format:
         output-file: lecture-functions-presentation.html
     html:
         theme: [litera, ../styles_html.scss]
-    pdf: 
-        documentclass: report
 ---
 
 # [Quick Recap of the last Lecture]{.flow} {.title}

part-04/lecture-dimensions.qmd

@@ -25,8 +25,6 @@ format:
         output-file: lecture-dimensions-presentation.html
     html:
         theme: [litera, ../styles_html.scss]
-    pdf: 
-        documentclass: report
 ---
 
 # [Quick Recap of the last Lecture]{.flow} {.title} 

part-05/lecture-errors.qmd

@@ -26,8 +26,6 @@ format:
         output-file: lecture-errors-presentation.html
     html:
         theme: [litera, ../styles_html.scss]
-    pdf: 
-        documentclass: report
 ---
 
 # [Quick Recap of the last Lecture]{.flow} {.title} 

part-06/lecture-modules.qmd

@@ -26,8 +26,6 @@ format:
         output-file: lecture-modules-presentation.html
     html:
         theme: [litera, ../styles_html.scss]
-    pdf: 
-        documentclass: report
 ---
 
 # [Quick Recap of the last Lecture]{.flow} {.title}

part-07/lecture-scientific.qmd

@@ -26,8 +26,6 @@ format:
         output-file: lecture-scientific-presentation.html
     html:
         theme: [litera, ../styles_html.scss]
-    pdf: 
-        documentclass: report
 ---
 
 # [Quick Recap of the last Lecture]{.flow} {.title}

part-08/lecture-pandas.qmd

@@ -26,8 +26,6 @@ format:
         output-file: lecture-pandas-presentation.html
     html:
         theme: [litera, ../styles_html.scss]
-    pdf: 
-        documentclass: report
 ---
 
 # [Quick Recap of the last Lecture]{.flow} {.title}

part-09/dashboards/stocks_dash.py

@@ -0,0 +1,89 @@
+import yfinance as yf
+import pandas as pd
+import dash
+from dash import dcc, html
+from dash.dependencies import Input, Output
+import plotly.graph_objects as go
+from datetime import datetime, timedelta
+import pytz
+
+# Initialize the Dash app
+app = dash.Dash(__name__)
+
+# Get Remedy stock data
+stock = yf.Ticker("REMEDY.HE")
+df = stock.history(period="2y")  # Get 2 years of data
+
+# Create the app layout
+app.layout = html.Div([
+    html.H1('Remedy Entertainment Stock Analysis', 
+            style={'textAlign': 'center', 'color': '#2c3e50', 'marginTop': '20px'}),
+    
+    # Time range selector
+    dcc.RadioItems(
+        id='timeframe',
+        options=[
+            {'label': '1M', 'value': 30},
+            {'label': '3M', 'value': 90},
+            {'label': '6M', 'value': 180},
+            {'label': '2Y', 'value': 730},
+            {'label': '1Y', 'value': 365},
+        ],
+        value=180,
+        inline=True,
+        style={'textAlign': 'center', 'marginBottom': '20px'}
+    ),
+    
+    # Candlestick chart
+    dcc.Graph(id='stock-graph')
+])
+
+# Callback to update the graph based on timeframe selection
+@app.callback(
+    Output('stock-graph', 'figure'),
+    Input('timeframe', 'value')
+)
+def update_graph(selected_days):
+    filtered_df = df.copy()
+    
+    if selected_days == 'ytd':
+        start_date = datetime(datetime.now().year, 1, 1)
+        filtered_df = df[df.index >= start_date]
+    else:
+        # Filter last N days
+        filtered_df = df.iloc[-selected_days:]
+    
+    # Create the candlestick chart
+    fig = go.Figure(data=[go.Candlestick(x=filtered_df.index,
+                                        open=filtered_df['Open'],
+                                        high=filtered_df['High'],
+                                        low=filtered_df['Low'],
+                                        close=filtered_df['Close'],
+                                        name='REMEDY')])
+    
+    # Add volume bars
+    fig.add_trace(go.Bar(x=filtered_df.index, 
+                        y=filtered_df['Volume'],
+                        name='Volume',
+                        yaxis='y2',
+                        marker_color='rgba(128,128,128,0.5)'))
+    
+    # Update layout
+    fig.update_layout(
+        title='Remedy Entertainment (REMEDY.HE)',
+        yaxis_title='Stock Price (EUR)',
+        yaxis2=dict(
+            title='Volume',
+            overlaying='y',
+            side='right'
+        ),
+        xaxis_rangeslider_visible=False,
+        template='plotly_white',
+        height=800
+    )
+    
+    return fig
+
+# Run the app
+if __name__ == '__main__':
+    app.run_server(debug=True)