Create an Environment with Anaconda

Create a new environment named mypanelintro with all the required packages by entering the following commands in succession into Anaconda Prompt (Windows) or Terminal (Mac/Linux):
Skip the command conda install "ipywidgets<8" -y if you installed Panel with a version >= 0.14.0.

conda create -n mypanelintro
conda activate mypanelintro
# Install Panel dependencies.
conda install "ipywidgets<8" -y
conda install -c bokeh ipywidgets_bokeh -y
conda install -c conda-forge panel -y
# Install other optional dependencies for experimenting with Panel.
conda install -c conda-forge ipyleaflet jupyter pandas geopandas leafmap localtileserver keplergl pydeck -y
conda install -c pyviz hvplot bokeh -y

Launch Jupyter Notebook as a Web Server

• Make sure your Anaconda environment is activated by running conda activate mypanelintro in your terminal.
• Run the command panel serve --show --autoreload app.ipynb in your terminal.
• A webpage with the URL http://localhost:5006/app will display all Panel objects marked with .servable().
• Any changes in the notebook will automatically be reflected on the webpage. Just in case, refresh the webpage to make sure you see your latest changes.
• If you installed Panel with a version lower than 0.14.0, make sure the installed ipywidgets package in your environment is lower than version 8.0.1.
  • See reason for ipywidgets<8 here: holoviz/panel#3778 (comment).
  • Check the version of your installed packages by running conda list.

Launch Jupyter Notebook

• Make sure your Anaconda environment is activated by running conda activate mypanelintro in your terminal.
• Run the command jupyter notebook in your terminal.
• Open the app.ipynb file when a webpage with the URL http://localhost:8888/tree appears.
  • Directly running jupyter notebook app.ipynb will skip this step of selecting a notebook to open.
• Run all the notebook cells from top to bottom. The Panel app will be outputted after the last cell is run.
• Reload the app.ipynb webpage when you want to see your new changes.

Learning Resources

Panel

• Widgets
• Components
• Dashboards Introduction
• Python Introduction to Panel Widgets and Dashboards

data Folder

• data Folder's GeoJSON Files
• Sample csv (Comma Separated Values, aka Excel) File from CoastTrain
• Sample Data from bokeh
• Elwha Topo-Bathy Data

bokeh.plotting

• figure() Documentation
• Plotting pandas DataFrame with bokeh.plotting
• Modifying Markers in Scatter Plot
• scatter() to Use Built-In Markers
• DatetimeTickFormatter to Format Ticks on Plot Axes

pandas

• Filtering through DataFrame with .loc

Other Documentation

• ipyleaflet
• datetime
• ipywidgets