[FIX] fh range should begin at 1; dependencies

.gitignore

@@ -1,2 +1,3 @@
 venv/
 notebooks/lightning_logs/*
+uv.lock

.python-version

@@ -0,0 +1 @@
+3.13

README.md

@@ -79,4 +79,7 @@ To clone the repository locally:
 3. Install the requirements:
 `pip install -r requirements`
 4. If using jupyter: make the environment available in jupyter:
-`python -m ipykernel install --user --name=sktime_pydata`
+`python -m ipykernel install --user --name=sktime_pydata`
+
+### Using uv
+Just run: `uv sync`

notebooks/01_introduction.ipynb

@@ -56,7 +56,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.image.AxesImage at 0x110561350>"
+       "<matplotlib.image.AxesImage at 0x1b900fd4590>"
       ]
      },
      "execution_count": 1,
@@ -65,7 +65,7 @@
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 480x480 with 1 Axes>"
       ]
@@ -206,7 +206,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "venv",
+   "display_name": "tutorial-haicon-prologue-day",
    "language": "python",
    "name": "python3"
   },
@@ -220,7 +220,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.9"
+   "version": "3.13.3"
   }
  },
  "nbformat": 4,

notebooks/04_outro.ipynb

@@ -15,7 +15,7 @@
     "\n",
     "* Tutorials on binder https://mybinder.org/v2/gh/sktime/sktime/main?filepath=examples \n",
     "* Video intros https://www.youtube.com/playlist?list=PLKs3UgGjlWHqNzu0LEOeLKvnjvvest2d0\n",
-    "* `pip install sktime` or `conda install sktime`"
+    "* `pip install sktime` or `conda install sktime` or `uv add sktime`"
    ]
   },
   {
@@ -53,8 +53,14 @@
   }
  ],
  "metadata": {
+  "kernelspec": {
+   "display_name": "tutorial-haicon-prologue-day",
+   "language": "python",
+   "name": "python3"
+  },
   "language_info": {
-   "name": "python"
+   "name": "python",
+   "version": "3.13.3"
   }
  },
  "nbformat": 4,

pyproject.toml

@@ -0,0 +1,22 @@
+[project]
+name = "tutorial-haicon-prologue-day"
+version = "0.1.0"
+description = "Add your description here"
+readme = "README.md"
+requires-python = ">=3.13"
+dependencies = [
+    "accelerate>=1.8.1",
+    "einops>=0.8.1",
+    "gluonts>=0.16.2",
+    "hydra-core>=1.3.2",
+    "ipykernel>=6.29.5",
+    "ipywidgets>=8.1.7",
+    "litmodels>=0.1.8",
+    "matplotlib>=3.10.3",
+    "orjson>=3.10.18",
+    "pytorch-forecasting>=1.4.0",
+    "seaborn>=0.13.2",
+    "sktime>=0.38.3",
+    "statsmodels>=0.14.5",
+    "transformers>=4.53.1",
+]