preparing TP3

M2/Enjeux Climatiques/tp3.ipynb

@@ -0,0 +1,40 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "3509de47",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import geopandas as gpd\n",
+    "import rasterio\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "import pandas as pd\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "studies",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.13.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

pyproject.toml

@@ -9,6 +9,7 @@ dependencies = [
     "catboost>=1.2.8",
     "datasets>=4.4.2",
     "faiss-cpu>=1.13.2",
+    "geopandas>=1.1.2",
     "google-api-python-client>=2.188.0",
     "google-auth-oauthlib>=1.2.4",
     "google-generativeai>=0.8.6",
@@ -31,6 +32,7 @@ dependencies = [
     "plotly>=6.3.0",
     "polars>=1.37.0",
     "pypdf>=6.5.0",
+    "rasterio>=1.4.4",
     "requests>=2.32.5",
     "scikit-learn>=1.6.1",
     "scipy>=1.15.2",