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\n", "\n", "> Thunder is a library for analyzing spatial and temporal data in Python. It is designed to run locally for small data or against a Spark cluster for large data, using an identical API. These notebooks are tutorials for using Thunder. All the tutorials use small, toy data sets.\n", "\n", "\n", "\n", ">For more information on Thunder, visit the project page or come chat with us.\n", "\n", "### `tutorials`\n", "\n", "### - [`basics`](tutorials/basics.ipynb)\n", "\n", "### - [`images`](tutorials/images.ipynb)\n", "\n", "### - [`series`](tutorials/series.ipynb)\n", "\n", "### - [`registration`](tutorials/registration.ipynb)\n", "\n", "