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"The User Guide explains key concepts in detail.\n",
"\n",
"New users may prefer to start with the introduction in our [Getting Started](../getting_started/index.ipynb) guide.\n",
"\n",
"To see examples of what can be done with Datashader, see [Topics](../topics/index.ipynb).\n",
"\n",
"Contents:\n",
"\n",
"- [1. Plotting Pitfalls](1_Plotting_Pitfalls.ipynb) \n",
" Explains how Datashader avoids pitfalls encountered when plotting big datasets\n",
" using techniques designed for small ones.\n",
"\n",
"- [2. Points](../topics/nyc_taxi.ipynb) \n",
" (Under construction; meanwhile points to the [nyc_taxi](../topics/nyc_taxi.ipynb) notebook.)\n",
"\n",
"- [3. Timeseries](3_Timeseries.ipynb) \n",
" Plotting timeseries and other curves.\n",
"\n",
"- [4. Trajectories](4_Trajectories.ipynb) \n",
" Plotting trajectories (e.g. connected GPS points) in a plane.\n",
"\n",
"- [5. Rasters](5_Rasters.ipynb) \n",
" Plotting gridded (raster) data, from regularly sampled 2D points in\n",
" a plane.\n",
"\n",
"- [6. Trimesh](6_Trimesh.ipynb)\n",
" Plotting large irregular triangular grids (meshes).\n",
"\n",
"- [7. Networks](7_Networks.ipynb) \n",
" Plotting large network graphs.\n",
"\n",
"- [8. Geography](8_Geography.ipynb) \n",
" Using Datashader for geographic applications\n",
"\n",
"- [9. Extending](9_Extending.ipynb) \n",
" Extending datashader with new components and functionality.\n",
"\n",
"- [10. Performance](10_Performance.ipynb) \n",
" Hints for getting good performance out of Datashader in your\n",
" applications."
]
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