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Update intro_tutorial.ipynb #234

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Aug 25, 2024
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Update intro_tutorial.ipynb #234

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b32c1e0
Update intro_tutorial.ipynb
tpike3 Aug 23, 2024
a860984
Update intro_tutorial.ipynb
tpike3 Aug 25, 2024
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37 changes: 25 additions & 12 deletions docs/tutorials/intro_tutorial.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -33,21 +33,27 @@
" (You can use the table of contents button on the left side of the interface to skip to any specific part)\n",
"\n",
"\n",
"Users can use Google Colab (Please ensure you run the Colab dependency import cell) \n",
"Users can use Google Colab\\* (Please ensure you run the Colab dependency import cell- below) \n",
"\n",
"[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/projectmesa/mesa-geo/blob/main/docs/tutorials/intro_tutorial.ipynb)\n"
"[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/projectmesa/mesa-geo/blob/main/docs/tutorials/intro_tutorial.ipynb)\n",
"\n",
"\\*Based on a recent Google Colab update currently, Solara visuals are not rendering. However, the link still provides a easy way to download the jupyter file. You can see the issue on the [Solara GitHub site](https://github.com/widgetti/solara/issues/323)\n",
"\n",
"You can also [download the file directly from GitHub](https://github.com/projectmesa/mesa-geo/blob/main/docs/tutorials/intro_tutorial.ipynb)\n"
]
},
{
"cell_type": "raw",
"id": "c0c702b3-c307-4f00-9530-468e29f53184",
"cell_type": "code",
"execution_count": null,
"id": "0b0dc4bb-cf8a-4c21-82aa-4a1cc43f1871",
"metadata": {},
"outputs": [],
"source": [
"#Run this if in colab\n",
"#Run this if in colab or if you need to install mesa and mesa-geo in your local environment. \n",
"!pip install mesa --quiet\n",
"!pip install mesa-geo --quiet\n",
"!mkdir -p data\n",
"!wget -P data https://raw.githubusercontent.com/projectmesa/mesa-geo/tree/main/docs/tutorials/data/TorontoNeighbourhoods.geojson"
"!wget -P data https://raw.githubusercontent.com/projectmesa/mesa-geo/main/docs/tutorials/data/TorontoNeighbourhoods.geojson"
]
},
{
Expand Down Expand Up @@ -93,7 +99,7 @@
"\n",
"import mesa\n",
"import mesa_geo as mg\n",
"import mesa_geo.visualization as mgv\n"
"import mesa_geo.visualization as mgv # the warning that appears from Solara is fixed in Mesa 3.0 you can install the pre-release with pip install -U --pre-mesa\n"
]
},
{
Expand Down Expand Up @@ -336,6 +342,7 @@
" self, pop_size=30, mobility_range=500, init_infection=0.2, exposure_dist=500, max_infection_risk=0.2,\n",
" max_recovery_time=5\n",
" ):\n",
" super().__init__()\n",
" self.schedule = mesa.time.RandomActivationByType(self)\n",
" self.space = mg.GeoSpace(warn_crs_conversion=False)\n",
" \n",
Expand Down Expand Up @@ -632,10 +639,7 @@
"execution_count": null,
"id": "50aab416-959f-4d72-abd9-844ed42c784d",
"metadata": {
"has_explanation": true,
"jupyter": {
"source_hidden": true
}
"has_explanation": true
},
"outputs": [],
"source": [
Expand Down Expand Up @@ -769,6 +773,7 @@
" self, pop_size=30, mobility_range=500, init_infection=0.2, exposure_dist=500, max_infection_risk=0.2,\n",
" max_recovery_time=5\n",
" ):\n",
" super().__init__()\n",
" #Scheduler\n",
" self.schedule = mesa.time.RandomActivationByType(self)\n",
" #Space\n",
Expand Down Expand Up @@ -1087,6 +1092,14 @@
"# This is required to render the visualization in the Jupyter notebook\n",
"page"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "324cabe0-68be-4aab-a70d-10ffcd328114",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
Expand All @@ -1105,7 +1118,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.3"
"version": "3.12.5"
}
},
"nbformat": 4,
Expand Down