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Remove 'how is this tutorial structured' sections
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doc/tutorial/climada_engine_Impact.ipynb

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"(See the [config guide](../guide/Guide_Configuration.ipynb) on how to set configuration values)."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"#### Structure of the tutorial "
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"We begin with one very detailled example, and later present in quick and dirty examples."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"__[Part1](#part1)__: Detailed impact calculation with Litpop and TropCyclone\n",
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"\n",
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"__[Part2](#part2)__: Quick examples: raster and point exposures/hazards\n",
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"\n",
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"__[Part3](#part3)__: Visualization methods"
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]
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},
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"cell_type": "markdown",
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"metadata": {},

doc/tutorial/climada_entity_ImpactFuncSet.ipynb

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"| _data | (dict) | Contains `ImpactFunc` classes. Not suppossed to be directly accessed. Use the class methods instead.|"
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"#### Structure of the tutorial\n",
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"\n",
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"[**Part 1:**](#Part1) Defining `ImpactFunc` from your own data\n",
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"\n",
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"[**Part 2:**](#Part2) Loading `ImpactFunc` from CLIMADA in-built impact functions\n",
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"\n",
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"[**Part 3:**](#Part3) Add `ImpactFunc` into the container `ImpactFuncSet`\n",
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"\n",
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"[**Part 4:**](#Part4) Read and write `ImpactFuncSet` into Excel sheets\n",
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"\n",
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"[**Part 5:**](#Part5) Loading `ImpactFuncSet` from CLIMADA in-built impact functions"
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]
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},
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"cell_type": "markdown",
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"metadata": {},

doc/tutorial/climada_hazard_Hazard.ipynb

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"Note that `intensity` and `fraction` are scipy.sparse matrices of size num_events x num_centroids. The `fraction` attribute is optional. The `Centroids` class contains the geographical coordinates where the hazard is defined. A `Centroids` instance provides the coordinates either as points or raster data together with their Coordinate Reference System (CRS). The default CRS used in climada is the usual EPSG:4326. `Centroids` provides moreover methods to compute centroids areas, on land mask, country iso mask or distance to coast."
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### How is this tutorial structured?\n",
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"\n",
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"[**Part 1:**](#Part1) Read hazards from raster data\n",
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"\n",
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"[**Part 2:**](#Part2) Read hazards from other data\n",
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"\n",
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"[**Part 3:**](#Part3) Define hazards manually\n",
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"\n",
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"[**Part 4:**](#Part4) Analyse hazards\n",
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"\n",
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"[**Part 5:**](#Part5) Visualize hazards\n",
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"\n",
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"[**Part 6:**](#Part6) Write (=save) hazards"
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]
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},
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"cell_type": "markdown",
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"metadata": {},

doc/tutorial/climada_hazard_TropCyclone.ipynb

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"<br>"
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]
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### How is this tutorial structured?\n",
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"\n",
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"[**Part 1: Load TC tracks**](#Part1)\n",
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"\n",
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"<ol>\n",
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"\n",
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"[**a) Load TC tracks from historical records**](#Part1.a)\n",
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"\n",
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"[**b) Generate probabilistic events**](#Part1.b) \n",
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" \n",
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"[**c) ECMWF Forecast Tracks**](#Part1.c) \n",
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"\n",
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"[**d) Load TC tracks from other sources**](#Part1.d) \n",
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"\n",
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"</ol>\n",
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"\n",
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"[**Part 2: `TropCyclone()` class**](#Part2) \n",
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"\n",
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"<ol>\n",
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"\n",
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"[**a) Default hazard generation for tropical cyclones**](#Part2.a)\n",
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"\n",
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"[**b) Implementing climate change**](#Part2.b)\n",
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"\n",
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"[**c) Multiprocessing - improving performance for big computations**](#Part2.c)\n",
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"\n",
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"[**d) Making videos**](#Part2.d)\n",
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" \n",
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"</ol>"
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]
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},
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"cell_type": "markdown",
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