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‎assets/book/learn_python_with_jupyter.pdf

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‎assets/notebooks/24_dictionaries.ipynb

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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# 24. Inventory at the English bookstore \n",
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"\n",
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"\n",
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"## Dictionary\n",
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"\n",
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"\n",
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"[Learn Python with Jupyter](https://learnpythonwithjupyter.com/) by [Serena Bonaretti](https://sbonaretti.github.io/) \n",
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"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",
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"\n",
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"---\n",
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"\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"- You are the owner of an English bookstore, and these are some classics you sell:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"classics = {\"Austen\":\"Pride and Prejudice\", \n",
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" \"Shelley\":\"Frankenstein\", \n",
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" \"Joyce\":\"Ulyssessss\"}\n",
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"print (classics)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"- You are conducting an inventory, and you need to print authors and titles: "
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# as dict_items\n",
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"print (classics.items())\n",
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"# as a list of tuples\n",
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"print (list(classics.items()))"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"- Then, you need to print authors and titles separately:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# authors as dict_items\n",
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"print (classics.keys())\n",
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"# authors as a list \n",
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"print (list(classics.keys()))\n",
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"\n",
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"# titles as dict_values\n",
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"print (classics.values())\n",
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"# titles as a list\n",
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"print (list(classics.values()))"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"- You notice that the title of the last book is wrong, so you correct it:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"print (\"Wrong title: \" + classics[\"Joyce\"])\n",
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"classics[\"Joyce\"] = \"Ulysses\"\n",
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"print (\"Corrected title: \" + classics[\"Joyce\"])"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"- Then you add two new books that have just arrived: *Gulliver's travels* by Swift and *Jane Eyre* by Bronte:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# adding the first book (syntax 1)\n",
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"classics[\"Swift\"] = \"Gulliver's travels\"\n",
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"print (classics)\n",
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"\n",
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"# adding the second book (syntax 2)\n",
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"classics.update({\"Bronte\":\"Jane Eyre\"})\n",
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"print (classics)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"- Finally you remove the books by Austen and Joyce because you have just sold them: "
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# deleting the first book (syntax 1)\n",
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"del classics[\"Austen\"]\n",
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"print (classics)\n",
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"\n",
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"# deleting the second book (syntax 2)\n",
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"classics.pop(\"Joyce\")\n",
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"print (classics)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"---\n",
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"## List of dictionaries (*In more depth* section)\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"- Given the following list of dictionaries:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"countries = [{\"name\": \"China\", \"capital\": \"Bejing\"},\n",
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" {\"name\": \"France\", \"capital\": \"Paris\"},]\n",
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"print (countries)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"- Add a list element:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"countries.append({\"name\": \"Brazil\", \"capital\": \"Brasilia\"})\n",
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"print (countries)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"- Slice the second element:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"print (countries [1])"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"- Print list elements using a for loop through elements and a for loop through indices:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"# for loop though elements\n",
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"print (\"-> for loop though elements\")\n",
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"for country in countries:\n",
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" print (country)\n",
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"\n",
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"# for loop though indices\n",
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"print (\"-> for loop though indices\")\n",
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"for i in range (len(countries)):\n",
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" print (countries[i])"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"- Print the country names using a for loop through elements and a for loop through indices:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"# for loop though elements\n",
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"print (\"-> for loop though elements\") \n",
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"for country in countries:\n",
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" print (country[\"name\"])\n",
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" \n",
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"# for loop though indices\n",
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"print (\"-> for loop though indices\")\n",
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"for i in range (len(countries)):\n",
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" print (countries[i][\"name\"])"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.4"
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},
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"widgets": {
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"application/vnd.jupyter.widget-state+json": {
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"state": {},
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"version_major": 2,
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"version_minor": 0
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}
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}

‎index.html

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<head>
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<!-- Global site tag (gtag.js) - Google Analytics -->
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<!-- Google tag (gtag.js) -->
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<script async src="https://www.googletagmanager.com/gtag/js?id=G-SMB9YNHT28"></script>
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<script>
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window.dataLayer = window.dataLayer || [];
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function gtag(){dataLayer.push(arguments);}
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gtag('js', new Date());
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<script async src="https://www.googletagmanager.com/gtag/js?id=G-SMB9YNHT28"></script>
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<script>
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window.dataLayer = window.dataLayer || [];
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function gtag(){dataLayer.push(arguments);}
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gtag('js', new Date());
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gtag('config', 'G-SMB9YNHT28');
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</script>
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gtag('config', 'G-SMB9YNHT28');
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</script>
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<meta charset="utf-8">
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<meta content="width=device-width, initial-scale=1.0" name="viewport">
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<div class="col-lg-12">
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<div class="progress">
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<span class="skill">BOOK COMPLETION <i class="val">63%</i></span>
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<span class="skill">BOOK COMPLETION <i class="val">65%</i></span>
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<div class="progress-bar-wrap">
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<div class="progress-bar" role="progressbar" aria-valuenow="63" aria-valuemin="0" aria-valuemax="100"></div>
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<div class="progress-bar" role="progressbar" aria-valuenow="65" aria-valuemin="0" aria-valuemax="100"></div>
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</div>
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</div>
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<center>Next upload: <b>Chapter 24</b> on <b>January 28</b> </center>
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<center>Next upload: <b>Chapter 24</b> on <b>March 10</b> </center>
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</div>
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<div class="resume-item pb-0">
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<h4>PART 7: Dictionaries and overview of strings</h4>
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<ol start="24">
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<li>Inventory at the bookstore<br> <i>Dictionary</i></li>
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<a href="assets/notebooks/24_dictionaries.ipynb" onclick="download" ></a><li>Inventory at the English bookstore<br> <i>Dictionaries</i></li></a>
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<li>Trip to Switzerland<br> <i>Dictionaries with lists as values</i></li>
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<li>Counting, compressing, and sorting<br> <i>Dictionary use cases</i></li>
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<li>Overview of strings<br> <i>Operations, methods, and tricks</i></li>

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