lecture 02 python data structures

Author: haesleinhuepf

02_python_data_structures/04_Dont_try_this_at_home.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "frank-basement",
+   "metadata": {},
+   "source": [
+    "# Pitfalls when working with Jupyter notebooks\n",
+    "You can execute the same cell in Jupyter notebooks multiple times. This may lead to notebooks which make no sense to the reader."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "metallic-classification",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "a = 5\n",
+    "b = 5"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "wired-crowd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "a = a + 1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "shaped-capital",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "13"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a + b"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "olympic-vienna",
+   "metadata": {},
+   "source": [
+    "You can execute them in the wrong order which leads to the same effect."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "backed-shaft",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "d = 5"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "military-bedroom",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "d = 10"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "radical-shakespeare",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "5"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "d"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "persistent-porcelain",
+   "metadata": {},
+   "source": [
+    "You can see that cells were executed in wrong order, repeatedly or not subsequently, by reading the number `In [?]` on the left.\n",
+    "\n",
+    "![ ](cell_execution_number.png)\n",
+    "\n",
+    "Tip: When your notebook is ready, click on menu `Kernel > Restart & Run all` to make sure all cells in the notebook are executed in the right order."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "conservative-cyprus",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.9.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}