Jupyter notebooks

Some of the tutorials are provided as Jupyter notebooks. If you see this icon

on top of a page, you can click on it to download the notebook and run it on your computer. All notebooks are also available for download from this page.

• :download:`Using ctools from Python <quickstart/ctools-from-python.ipynb>`
• :download:`How to combine observations? <howto/howto_combine_observations.ipynb>`
• :download:`How to connect observations to specific models? <howto/howto_connect_models.ipynb>`
• :download:`How to perform a stacked analysis?<howto/howto_stacked_analysis.ipynb>`
• :download:`How to handle models from Python? <howto/howto_model_handling_python.ipynb>`
• :download:`How to do advanced model manipulation and fitting in Python? <howto/howto_advanced_python_fitting.ipynb>`
• :download:`How to generate likelihood profiles for a fitted spectrum? <howto/howto_likelihood_profiles.ipynb>`
• :download:`Data preparation for 1DC How-to <howto/howto_prepare_1dc.ipynb>`
• :download:`Selecting events for H.E.S.S. public data <hess_dr1/selecting_events.ipynb>`
• :download:`Generating a sky map and finding sources for H.E.S.S. public data <hess_dr1/skymap.ipynb>`
• :download:`Generating a background model from H.E.S.S. public data <hess_dr1/bkgmodel.ipynb>`
• :download:`Performing an unbinned analysis of H.E.S.S. public data <hess_dr1/unbinned.ipynb>`
• :download:`Classical analysis of H.E.S.S. public data <hess_dr1/classical.ipynb>`