exercise notebooks + data

test_installation.ipynb

@@ -0,0 +1,78 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Test if installation was successful"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# check versions of the libraries\n",
+    "# they should not be too much behind the ones in the comments...\n",
+    "import numpy\n",
+    "print(\"numpy\", numpy.__version__)        # >= 1.18.5\n",
+    "import pandas\n",
+    "print(\"pandas\", pandas.__version__)      # >= 1.2.1\n",
+    "import scipy\n",
+    "print(\"scipy\", scipy.__version__)        # >= 1.4.1\n",
+    "import sklearn\n",
+    "print(\"sklearn\", sklearn.__version__)    # >= 0.24.1\n",
+    "import matplotlib\n",
+    "print(\"matplotlib\", matplotlib.__version__)  # >= 3.3.1\n",
+    "import PIL\n",
+    "print(\"pillow\", PIL.__version__)         # >= 8.1.0\n",
+    "import plotly\n",
+    "print(\"plotly\", plotly.__version__)      # >= 4.9.0\n",
+    "print(\"Congratulations! Your installation of the basic libraries was successful!\")\n",
+    "# the following libraries are needed for the neural network example \n",
+    "# (if you're working with the recommended pytorch, not keras/tensorflow)\n",
+    "# if you have a computer with a (CUDA-enabled Nvidia) GPU, checkout this site:\n",
+    "# https://pytorch.org/get-started/locally/\n",
+    "# to install the correct version that can utilize the capabilities of your GPU\n",
+    "# (if you're working on a normal laptop and you don't know what GPU means,\n",
+    "# don't worry about it and just execute `$ pip install torch torchvision skorch`)\n",
+    "import torch\n",
+    "print(\"torch\", torch.__version__)        # >= 1.6.0\n",
+    "import torchvision\n",
+    "print(\"torchvision\", torchvision.__version__)  # >= 0.8.1\n",
+    "import skorch\n",
+    "print(\"skorch\", skorch.__version__)      # >= 0.9.0\n",
+    "print(\"Congratulations! Your installation of the neural network libraries was successful!\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "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": "3.8.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}