From a6a1dbd8160494ef385dbeca14e245e49ea7042f Mon Sep 17 00:00:00 2001 From: FRILLAY Emilie Date: Tue, 19 May 2026 17:15:52 +0200 Subject: [PATCH] lab_python_data_structures-Emilie-Frillay.ipynb --- ...ython_data_structures-Emilie-Frillay.ipynb | 309 ++++++++++++++++++ 1 file changed, 309 insertions(+) create mode 100644 lab_python_data_structures-Emilie-Frillay.ipynb diff --git a/lab_python_data_structures-Emilie-Frillay.ipynb b/lab_python_data_structures-Emilie-Frillay.ipynb new file mode 100644 index 00000000..5f0ed546 --- /dev/null +++ b/lab_python_data_structures-Emilie-Frillay.ipynb @@ -0,0 +1,309 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "tags": [], + "id": "ghKHKfF2XYgU" + }, + "source": [ + "# Lab | Data Structures" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "w-GvgA58XYgV" + }, + "source": [ + "## Exercise: Managing Customer Orders\n", + "\n", + "As part of a business venture, you are starting an online store that sells various products. To ensure smooth operations, you need to develop a program that manages customer orders and inventory.\n", + "\n", + "Follow the steps below to complete the exercise:\n", + "\n", + "1. Define a list called `products` that contains the following items: \"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\".\n", + "\n", + "2. Create an empty dictionary called `inventory`.\n", + "\n", + "3. Ask the user to input the quantity of each product available in the inventory. Use the product names from the `products` list as keys in the `inventory` dictionary and assign the respective quantities as values.\n", + "\n", + "4. Create an empty set called `customer_orders`.\n", + "\n", + "5. Ask the user to input the name of three products that a customer wants to order (from those in the products list, meaning three products out of \"t-shirt\", \"mug\", \"hat\", \"book\" or \"keychain\". Add each product name to the `customer_orders` set.\n", + "\n", + "6. Print the products in the `customer_orders` set.\n", + "\n", + "7. Calculate the following order statistics:\n", + " - Total Products Ordered: The total number of products in the `customer_orders` set.\n", + " - Percentage of Products Ordered: The percentage of products ordered compared to the total available products.\n", + " \n", + " Store these statistics in a tuple called `order_status`.\n", + "\n", + "8. Print the order statistics using the following format:\n", + " ```\n", + " Order Statistics:\n", + " Total Products Ordered: \n", + " Percentage of Products Ordered: %\n", + " ```\n", + "\n", + "9. Update the inventory by subtracting 1 from the quantity of each product. Modify the `inventory` dictionary accordingly.\n", + "\n", + "10. Print the updated inventory, displaying the quantity of each product on separate lines.\n", + "\n", + "Solve the exercise by implementing the steps using the Python concepts of lists, dictionaries, sets, and basic input/output operations." + ] + }, + { + "cell_type": "markdown", + "source": [ + "1. Define a list called `products` that contains the following items: \"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"." + ], + "metadata": { + "id": "MEM4eMGcXkLF" + } + }, + { + "cell_type": "code", + "source": [ + "#**Lists**: Ordered, mutable collections that store elements of different types and allow indexing, appending, removing, and modifying. [ ]\n", + "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n", + "print(products)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "BGUlFr4-Xlbd", + "outputId": "cd76981a-1878-4859-9678-aa8e6a89ff0a" + }, + "execution_count": 27, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "['t-shirt', 'mug', 'hat', 'book', 'keychain']\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "2. Create an empty dictionary called `inventory`." + ], + "metadata": { + "id": "QUi-E_bQYHUv" + } + }, + { + "cell_type": "code", + "source": [ + "#**Dictionaries**: Ordered (from Python 3.6), mutable key-value pairs for efficient lookup and organization of data. { }\n", + "\n", + "inventory = {} # create a new dict ----> assign curly brackets or inventory = dict()" + ], + "metadata": { + "id": "riWaaNroYIW_" + }, + "execution_count": 28, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "3. Ask the user to input the quantity of each product available in the inventory. Use the product names from the `products` list as keys in the `inventory` dictionary and assign the respective quantities as values." + ], + "metadata": { + "id": "omvkJB0gYgJz" + } + }, + { + "cell_type": "code", + "source": [ + "for product in products:# for loop > take each product of the list\n", + "\n", + " quantity = int(\n", + " input(\n", + " f\"Enter the quantity of {product}: \"\n", + " )\n", + " )\n", + "\n", + " inventory[product] = quantity\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "nfaPb0s4Yiac", + "outputId": "6519297e-0cd1-4e5b-b0a8-111baf36297b" + }, + "execution_count": 7, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Enter the quantity of t-shirt: 2\n", + "Enter the quantity of mug: 6\n", + "Enter the quantity of hat: 3\n", + "Enter the quantity of book: 4\n", + "Enter the quantity of keychain: 30\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "4. Create an empty set called `customer_orders`." + ], + "metadata": { + "id": "dD1laDUihdvZ" + } + }, + { + "cell_type": "code", + "source": [ + "#**Sets**: Unordered, mutable collections of unique elements with set operations like union and intersection. { }\n", + "customer_orders = set()# To create an empty list -----> assign brackets" + ], + "metadata": { + "id": "5Aw4sUhRheq5" + }, + "execution_count": 10, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "5. Ask the user to input the name of three products that a customer wants to order (from those in the products list, meaning three products out of \"t-shirt\", \"mug\", \"hat\", \"book\" or \"keychain\". Add each product name to the `customer_orders` set.\n", + "\n", + "> Ajouter une citation\n", + "\n" + ], + "metadata": { + "id": "T5KHnz-z-2dj" + } + }, + { + "cell_type": "code", + "source": [ + "for _ in range(3): # for loop\n", + " product_name = input(\"Enter a product name to order (e.g., t-shirt, mug, hat, book, keychain): \")\n", + " customer_orders.add(product_name)#modifying a set ----> # Adding elements to a set e.g fruit.add('grape')" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "hWLGeI22-5rM", + "outputId": "62289e44-af4e-4f8b-94f7-b216a2a4109b" + }, + "execution_count": 11, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Enter a product name to order (e.g., t-shirt, mug, hat, book, keychain): t-shirt\n", + "Enter a product name to order (e.g., t-shirt, mug, hat, book, keychain): mug\n", + "Enter a product name to order (e.g., t-shirt, mug, hat, book, keychain): hat\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "6. Print the products in the `customer_orders` set." + ], + "metadata": { + "id": "Ut_mxStJTsH2" + } + }, + { + "cell_type": "code", + "source": [ + " print(customer_orders) # Output: {\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"}" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "sBbE7vTpUlkT", + "outputId": "386b920d-7af0-4b90-8486-ccac872d78e5" + }, + "execution_count": 12, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "{'hat', 't-shirt', 'mug'}\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "7. Calculate the following order statistics:\n", + " - Total Products Ordered: The total number of products in the `customer_orders` set.\n", + " - Percentage of Products Ordered: The percentage of products ordered compared to the total available products.\n", + " \n", + " Store these statistics in a tuple called `order_status`." + ], + "metadata": { + "id": "u9BhZzxFUti3" + } + }, + { + "cell_type": "code", + "source": [ + "Total_Products_Ordered = len(customer_orders)\n", + "\n", + "Percentage_of_Products_Ordered = (Total_Products_Ordered / len(products)) * 100\n", + "\n", + "#**Tuples**: Ordered, immutable collections commonly used for fixed values. ( )\n", + "\n", + "order_status = (Total_Products_Ordered+Percentage_of_Products_Ordered)\n", + "\n", + "order_status2 = (100-order_status)\n", + "\n", + "print(f\"your remaining stock is {order_status2} %\")" + ], + "metadata": { + "id": "0hAAT5-pbZNl" + }, + "execution_count": null, + "outputs": [] + } + ], + "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": "3.9.13" + }, + "colab": { + "provenance": [], + "history_visible": true + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file