|
| 1 | +{ |
| 2 | + "cells": [ |
| 3 | + { |
| 4 | + "cell_type": "markdown", |
| 5 | + "metadata": {}, |
| 6 | + "source": [ |
| 7 | + "# 24. Inventory at the English bookstore \n", |
| 8 | + "\n", |
| 9 | + "\n", |
| 10 | + "## Dictionary\n", |
| 11 | + "\n", |
| 12 | + "\n", |
| 13 | + "[Learn Python with Jupyter](https://learnpythonwithjupyter.com/) by [Serena Bonaretti](https://sbonaretti.github.io/) \n", |
| 14 | + "Narrative license: [CC BY-NC-SA](https://creativecommons.org/licenses/by-nc-sa/2.0/). Code license: [GNU-GPL v3](https://www.gnu.org/licenses/gpl-3.0.en.html) \n", |
| 15 | + "\n", |
| 16 | + "---\n", |
| 17 | + "\n" |
| 18 | + ] |
| 19 | + }, |
| 20 | + { |
| 21 | + "cell_type": "markdown", |
| 22 | + "metadata": {}, |
| 23 | + "source": [ |
| 24 | + "- You are the owner of an English bookstore, and these are some classics you sell:" |
| 25 | + ] |
| 26 | + }, |
| 27 | + { |
| 28 | + "cell_type": "code", |
| 29 | + "execution_count": null, |
| 30 | + "metadata": {}, |
| 31 | + "outputs": [], |
| 32 | + "source": [ |
| 33 | + "classics = {\"Austen\":\"Pride and Prejudice\", \n", |
| 34 | + " \"Shelley\":\"Frankenstein\", \n", |
| 35 | + " \"Joyce\":\"Ulyssessss\"}\n", |
| 36 | + "print (classics)" |
| 37 | + ] |
| 38 | + }, |
| 39 | + { |
| 40 | + "cell_type": "markdown", |
| 41 | + "metadata": {}, |
| 42 | + "source": [ |
| 43 | + "- You are conducting an inventory, and you need to print authors and titles: " |
| 44 | + ] |
| 45 | + }, |
| 46 | + { |
| 47 | + "cell_type": "code", |
| 48 | + "execution_count": null, |
| 49 | + "metadata": {}, |
| 50 | + "outputs": [], |
| 51 | + "source": [ |
| 52 | + "# as dict_items\n", |
| 53 | + "print (classics.items())\n", |
| 54 | + "# as a list of tuples\n", |
| 55 | + "print (list(classics.items()))" |
| 56 | + ] |
| 57 | + }, |
| 58 | + { |
| 59 | + "cell_type": "markdown", |
| 60 | + "metadata": {}, |
| 61 | + "source": [ |
| 62 | + "- Then, you need to print authors and titles separately:" |
| 63 | + ] |
| 64 | + }, |
| 65 | + { |
| 66 | + "cell_type": "code", |
| 67 | + "execution_count": null, |
| 68 | + "metadata": {}, |
| 69 | + "outputs": [], |
| 70 | + "source": [ |
| 71 | + "# authors as dict_items\n", |
| 72 | + "print (classics.keys())\n", |
| 73 | + "# authors as a list \n", |
| 74 | + "print (list(classics.keys()))\n", |
| 75 | + "\n", |
| 76 | + "# titles as dict_values\n", |
| 77 | + "print (classics.values())\n", |
| 78 | + "# titles as a list\n", |
| 79 | + "print (list(classics.values()))" |
| 80 | + ] |
| 81 | + }, |
| 82 | + { |
| 83 | + "cell_type": "markdown", |
| 84 | + "metadata": {}, |
| 85 | + "source": [ |
| 86 | + "- You notice that the title of the last book is wrong, so you correct it:" |
| 87 | + ] |
| 88 | + }, |
| 89 | + { |
| 90 | + "cell_type": "code", |
| 91 | + "execution_count": null, |
| 92 | + "metadata": {}, |
| 93 | + "outputs": [], |
| 94 | + "source": [ |
| 95 | + "print (\"Wrong title: \" + classics[\"Joyce\"])\n", |
| 96 | + "classics[\"Joyce\"] = \"Ulysses\"\n", |
| 97 | + "print (\"Corrected title: \" + classics[\"Joyce\"])" |
| 98 | + ] |
| 99 | + }, |
| 100 | + { |
| 101 | + "cell_type": "markdown", |
| 102 | + "metadata": {}, |
| 103 | + "source": [ |
| 104 | + "- Then you add two new books that have just arrived: *Gulliver's travels* by Swift and *Jane Eyre* by Bronte:" |
| 105 | + ] |
| 106 | + }, |
| 107 | + { |
| 108 | + "cell_type": "code", |
| 109 | + "execution_count": null, |
| 110 | + "metadata": {}, |
| 111 | + "outputs": [], |
| 112 | + "source": [ |
| 113 | + "# adding the first book (syntax 1)\n", |
| 114 | + "classics[\"Swift\"] = \"Gulliver's travels\"\n", |
| 115 | + "print (classics)\n", |
| 116 | + "\n", |
| 117 | + "# adding the second book (syntax 2)\n", |
| 118 | + "classics.update({\"Bronte\":\"Jane Eyre\"})\n", |
| 119 | + "print (classics)" |
| 120 | + ] |
| 121 | + }, |
| 122 | + { |
| 123 | + "cell_type": "markdown", |
| 124 | + "metadata": {}, |
| 125 | + "source": [ |
| 126 | + "- Finally you remove the books by Austen and Joyce because you have just sold them: " |
| 127 | + ] |
| 128 | + }, |
| 129 | + { |
| 130 | + "cell_type": "code", |
| 131 | + "execution_count": null, |
| 132 | + "metadata": {}, |
| 133 | + "outputs": [], |
| 134 | + "source": [ |
| 135 | + "# deleting the first book (syntax 1)\n", |
| 136 | + "del classics[\"Austen\"]\n", |
| 137 | + "print (classics)\n", |
| 138 | + "\n", |
| 139 | + "# deleting the second book (syntax 2)\n", |
| 140 | + "classics.pop(\"Joyce\")\n", |
| 141 | + "print (classics)" |
| 142 | + ] |
| 143 | + }, |
| 144 | + { |
| 145 | + "cell_type": "markdown", |
| 146 | + "metadata": {}, |
| 147 | + "source": [ |
| 148 | + "---\n", |
| 149 | + "## List of dictionaries (*In more depth* section)\n" |
| 150 | + ] |
| 151 | + }, |
| 152 | + { |
| 153 | + "cell_type": "markdown", |
| 154 | + "metadata": {}, |
| 155 | + "source": [ |
| 156 | + "- Given the following list of dictionaries:" |
| 157 | + ] |
| 158 | + }, |
| 159 | + { |
| 160 | + "cell_type": "code", |
| 161 | + "execution_count": null, |
| 162 | + "metadata": { |
| 163 | + "tags": [] |
| 164 | + }, |
| 165 | + "outputs": [], |
| 166 | + "source": [ |
| 167 | + "countries = [{\"name\": \"China\", \"capital\": \"Bejing\"},\n", |
| 168 | + " {\"name\": \"France\", \"capital\": \"Paris\"},]\n", |
| 169 | + "print (countries)" |
| 170 | + ] |
| 171 | + }, |
| 172 | + { |
| 173 | + "cell_type": "markdown", |
| 174 | + "metadata": {}, |
| 175 | + "source": [ |
| 176 | + "- Add a list element:" |
| 177 | + ] |
| 178 | + }, |
| 179 | + { |
| 180 | + "cell_type": "code", |
| 181 | + "execution_count": null, |
| 182 | + "metadata": { |
| 183 | + "tags": [] |
| 184 | + }, |
| 185 | + "outputs": [], |
| 186 | + "source": [ |
| 187 | + "countries.append({\"name\": \"Brazil\", \"capital\": \"Brasilia\"})\n", |
| 188 | + "print (countries)" |
| 189 | + ] |
| 190 | + }, |
| 191 | + { |
| 192 | + "cell_type": "markdown", |
| 193 | + "metadata": {}, |
| 194 | + "source": [ |
| 195 | + "- Slice the second element:" |
| 196 | + ] |
| 197 | + }, |
| 198 | + { |
| 199 | + "cell_type": "code", |
| 200 | + "execution_count": null, |
| 201 | + "metadata": { |
| 202 | + "tags": [] |
| 203 | + }, |
| 204 | + "outputs": [], |
| 205 | + "source": [ |
| 206 | + "print (countries [1])" |
| 207 | + ] |
| 208 | + }, |
| 209 | + { |
| 210 | + "cell_type": "markdown", |
| 211 | + "metadata": {}, |
| 212 | + "source": [ |
| 213 | + "- Print list elements using a for loop through elements and a for loop through indices:" |
| 214 | + ] |
| 215 | + }, |
| 216 | + { |
| 217 | + "cell_type": "code", |
| 218 | + "execution_count": null, |
| 219 | + "metadata": { |
| 220 | + "tags": [] |
| 221 | + }, |
| 222 | + "outputs": [], |
| 223 | + "source": [ |
| 224 | + "# for loop though elements\n", |
| 225 | + "print (\"-> for loop though elements\")\n", |
| 226 | + "for country in countries:\n", |
| 227 | + " print (country)\n", |
| 228 | + "\n", |
| 229 | + "# for loop though indices\n", |
| 230 | + "print (\"-> for loop though indices\")\n", |
| 231 | + "for i in range (len(countries)):\n", |
| 232 | + " print (countries[i])" |
| 233 | + ] |
| 234 | + }, |
| 235 | + { |
| 236 | + "cell_type": "markdown", |
| 237 | + "metadata": {}, |
| 238 | + "source": [ |
| 239 | + "- Print the country names using a for loop through elements and a for loop through indices:" |
| 240 | + ] |
| 241 | + }, |
| 242 | + { |
| 243 | + "cell_type": "code", |
| 244 | + "execution_count": null, |
| 245 | + "metadata": { |
| 246 | + "tags": [] |
| 247 | + }, |
| 248 | + "outputs": [], |
| 249 | + "source": [ |
| 250 | + "# for loop though elements\n", |
| 251 | + "print (\"-> for loop though elements\") \n", |
| 252 | + "for country in countries:\n", |
| 253 | + " print (country[\"name\"])\n", |
| 254 | + " \n", |
| 255 | + "# for loop though indices\n", |
| 256 | + "print (\"-> for loop though indices\")\n", |
| 257 | + "for i in range (len(countries)):\n", |
| 258 | + " print (countries[i][\"name\"])" |
| 259 | + ] |
| 260 | + } |
| 261 | + ], |
| 262 | + "metadata": { |
| 263 | + "kernelspec": { |
| 264 | + "display_name": "Python 3 (ipykernel)", |
| 265 | + "language": "python", |
| 266 | + "name": "python3" |
| 267 | + }, |
| 268 | + "language_info": { |
| 269 | + "codemirror_mode": { |
| 270 | + "name": "ipython", |
| 271 | + "version": 3 |
| 272 | + }, |
| 273 | + "file_extension": ".py", |
| 274 | + "mimetype": "text/x-python", |
| 275 | + "name": "python", |
| 276 | + "nbconvert_exporter": "python", |
| 277 | + "pygments_lexer": "ipython3", |
| 278 | + "version": "3.11.4" |
| 279 | + }, |
| 280 | + "widgets": { |
| 281 | + "application/vnd.jupyter.widget-state+json": { |
| 282 | + "state": {}, |
| 283 | + "version_major": 2, |
| 284 | + "version_minor": 0 |
| 285 | + } |
| 286 | + } |
| 287 | + }, |
| 288 | + "nbformat": 4, |
| 289 | + "nbformat_minor": 4 |
| 290 | +} |
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