Add drawing and visualization applications with Marimo framework

- Implement dibujar.py for drawing functionality with base64 and PIL image rendering.
- Create dibujar_retropaint.py for retro painting features using the Paint widget.
- Develop draw_data.py to visualize data with Scatter and Bar widgets, including lazy installation of dependencies.
- Add layout configuration for graphical representations in layouts/Graficos_plotly.grid.json.
- Enhance shell interaction with mejora_shell_mowidget.py, allowing local library imports and script execution.
- Introduce primera_prueba_shell_mowidget.py for testing shell commands and user input handling.
- Create prueba_de_embeddings.py for embedding visualizations using Sentence Transformers and dimensionality reduction techniques.
- Implement pygwalker_visualizaciones.py for interactive data exploration and visualization using Pygwalker.
- Add a sample bash script for user input and ping functionality in scripts/mi_script.sh.

Quak_data_profiler.py

@@ -0,0 +1,25 @@
+import marimo
+
+__generated_with = "0.15.2"
+app = marimo.App(width="medium")
+
+
+@app.cell
+def _():
+    import marimo as mo
+    import polars as pl
+    import quak
+    return mo, pl, quak
+
+
+@app.cell
+def _(mo, pl, quak):
+    src = "https://github.com/uwdata/mosaic/raw/main/data/athletes.parquet"
+    df = pl.read_parquet(src) # Cambialo por tu dataframe
+    q = quak.Widget(df)
+    mo.ui.anywidget(q)
+    return
+
+
+if __name__ == "__main__":
+    app.run()