.. _python-notebooks: Notebooks ========= Interactive Jupyter Notebook tutorials covering advanced Python usage. Each notebook is available to run interactively via Binder, to download from GitHub, or to browse inline below. Interactive (Binder) --------------------- Each link opens a live JupyterHub with all dependencies pre-installed. Note: Binder uses the latest commit on ``main``, not necessarily the latest release. 0. `welcome to MUSICA `_ 1. `working with multiple grid cells `_ 2. `latin hypercube sampling `_ 3. `user-defined reactions `_ 4. `local parallelization `_ 5. `HPC parallelization `_ 6. `using GPU solvers `_ 7. `using CARMA `_ 8. `TUV-x standard configurations `_ 9. `TUV-x conditions `_ 10. `Chapman cycle box model `_ 11. `TS1 box model `_ Download (GitHub) ------------------ 0. `welcome to MUSICA notebook `_ 1. `multiple grid cells notebook `_ 2. `hypercube sampling notebook `_ 3. `user-defined reactions notebook `_ 4. `local parallelization notebook `_ 5. `HPC parallelization notebook `_ 6. `GPU solvers notebook `_ 7. `CARMA notebook `_ 8. `TUV-x standard configurations notebook `_ 9. `TUV-x conditions notebook `_ 10. `Chapman cycle box model notebook `_ 11. `TS1 box model notebook `_ Browse Online -------------- .. toctree:: :maxdepth: 1 0. Welcome to MUSICA <0. Welcome to MUSICA> 1. Multiple Grid Cells <1. multiple_grid_cells> 2. Latin Hypercube Sampling <2. hypercube> 3. User-Defined Reactions <3. user_defined_reactions> 4. Local Parallelization <4. local_parallelization> 5. HPC Parallelization <5. hpc_parallelization> 6. Using GPU Solvers <6. gpu_solver> 7. Using CARMA <7. carma> 8. TUV-x Standard Configurations <8. tuv-x_standard_configurations> 9. TUV-x Conditions <9. tuv-x_conditions> 10. Chapman Cycle Box Model <10. chapman> 11. TS1 Box Model <11. ts1_box_model>