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Practice+Exercise+-+Collection_of_variables.ipynb
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| { | |
| "cells": [ | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "view-in-github", | |
| "colab_type": "text" | |
| }, | |
| "source": [ | |
| "<a href=\"https://colab.research.google.com/gist/JenniferNorthrup/febd23d755a54d54f63524f287c13160/practice-exercise-collection_of_variables.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "9bQ6lt0yXybc" | |
| }, | |
| "source": [ | |
| "# **COLLECTION OF VARIABLES**" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "ZADBm2UqXybf" | |
| }, | |
| "source": [ | |
| "### 1. Create a list of repeated element (element 2, 48 times)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 1, | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/" | |
| }, | |
| "id": "5us02XSGXybg", | |
| "outputId": "47a2b9c3-e43e-482a-ba02-3ec2cbbceb2d" | |
| }, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "name": "stdout", | |
| "text": [ | |
| "48\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "this_list = [2] * 48\n", | |
| "print(len(this_list))" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "c4mgN72QXybg" | |
| }, | |
| "source": [ | |
| "### 2. Print the second element of the list\n", | |
| "\n", | |
| "list = [\"apple\",\"orange\",\"grapes\",\"watermelon\"]" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 8, | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/" | |
| }, | |
| "id": "awws8IUgXybh", | |
| "outputId": "aed2fea5-ef8d-48a9-e18c-2439f631f3cd" | |
| }, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "name": "stdout", | |
| "text": [ | |
| "orange\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "list = [\"apple\",\"orange\",\"grapes\",\"watermelon\"]\n", | |
| "print(list[1])" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "vu4fsP3ZXybh" | |
| }, | |
| "source": [ | |
| "### 3. Replace the second element of the list with \"strawberries\"\n", | |
| "list = [\"apple\",\"orange\",\"grapes\",\"watermelon\"]" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 10, | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/" | |
| }, | |
| "id": "m5mGYNovXybi", | |
| "outputId": "fedc0ba3-fa1f-46c6-bf36-866b6779da40" | |
| }, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "name": "stdout", | |
| "text": [ | |
| "['apple', 'strawberries', 'grapes', 'watermelon']\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "list[1] = \"strawberries\"\n", | |
| "print(list)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "66LWC3r2Xybi" | |
| }, | |
| "source": [ | |
| "### 4. Iterate through the list and print the values" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 11, | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/" | |
| }, | |
| "id": "MgaBAftjXybj", | |
| "outputId": "3003b9d8-3eb8-4d55-d2c0-dc095b03927e" | |
| }, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "name": "stdout", | |
| "text": [ | |
| "apple\n", | |
| "strawberries\n", | |
| "grapes\n", | |
| "watermelon\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "for fruit in list:\n", | |
| " print(fruit)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "v6DM9__KXybj" | |
| }, | |
| "source": [ | |
| "### 5. Write a Python code to print squares of all numbers present in a list = [1, 12, 24, 36, 11, 20,50]" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 13, | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/" | |
| }, | |
| "id": "ejygxnS5Xybj", | |
| "outputId": "1b21f728-5c09-4d35-ff1a-15d9900562d3" | |
| }, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "name": "stdout", | |
| "text": [ | |
| "1\n", | |
| "144\n", | |
| "576\n", | |
| "1296\n", | |
| "121\n", | |
| "400\n", | |
| "2500\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "numbers = [1, 12, 24, 36, 11, 20, 50]\n", | |
| "for number in numbers:\n", | |
| " print(number ** 2)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "Z7S_vrl9Xybj" | |
| }, | |
| "source": [ | |
| "### 6. Pop yellow color from the list below:\n", | |
| "List=['white','red', 'blue', 'green','blue','yellow', 'black']" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 15, | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/" | |
| }, | |
| "id": "M_SL-9qXXybk", | |
| "outputId": "71fe28b7-8a2c-46c7-969e-44a3a9d22fd7" | |
| }, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "name": "stdout", | |
| "text": [ | |
| "['white', 'red', 'blue', 'green', 'blue', 'black']\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "colors = ['white','red', 'blue', 'green','blue','yellow', 'black']\n", | |
| "colors.pop(-2)\n", | |
| "print(colors)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "zP7CJMbkXybk" | |
| }, | |
| "source": [ | |
| "### 7. Check length of list\n", | |
| "\n", | |
| "list=[\"a\",\"b\",\"c\",\"d\",\"e\"]" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 16, | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/" | |
| }, | |
| "id": "BhU-XoAPXybk", | |
| "outputId": "b8ef4e36-ab73-4676-9ba1-24ececf034ef" | |
| }, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "name": "stdout", | |
| "text": [ | |
| "5\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "list=[\"a\",\"b\",\"c\",\"d\",\"e\"]\n", | |
| "print(len(list))" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "tLSaElmUXybk" | |
| }, | |
| "source": [ | |
| "### 8. Create a dictionary with the following information:\n", | |
| "\n", | |
| "brand = Audi\n", | |
| "\n", | |
| "Model = Q2\n", | |
| "\n", | |
| "Year = 1980" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 17, | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/" | |
| }, | |
| "id": "OcPi5k4DXybl", | |
| "outputId": "1f1135ba-ac37-434a-8b26-5ca5cf1f850b" | |
| }, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "name": "stdout", | |
| "text": [ | |
| "{'brand': 'Audi', 'Model': 'Q2', 'Year': 1980}\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "car = {\n", | |
| " \"brand\": \"Audi\",\n", | |
| " \"Model\": \"Q2\",\n", | |
| " \"Year\": 1980\n", | |
| "}\n", | |
| "print(car)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "WcErU8C7Xybl" | |
| }, | |
| "source": [ | |
| "### 9. In the above dictionary change the year to 2019" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 19, | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/" | |
| }, | |
| "id": "FHE4p6O_Xybl", | |
| "outputId": "89b44474-187a-474c-93e4-6bfe7c273010" | |
| }, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "name": "stdout", | |
| "text": [ | |
| "{'brand': 'Audi', 'Model': 'Q2', 'Year': 2019}\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "car[\"Year\"] = 2019\n", | |
| "print(car)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "pqc2rAREXybm" | |
| }, | |
| "source": [ | |
| "### 10. Create a set of following elements\n", | |
| "\n", | |
| "1.0, \"Hello\", 55 , (6,7,8)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 21, | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/" | |
| }, | |
| "id": "OZ_nB01gXybm", | |
| "outputId": "a337dc05-6563-434f-bd89-f9c759422d6b" | |
| }, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "name": "stdout", | |
| "text": [ | |
| "<class 'tuple'>\n", | |
| "(1.0, 'Hello', 55, (6, 7, 8))\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "this_set = (1.0, \"Hello\", 55, (6,7,8))\n", | |
| "print(type(this_set))\n", | |
| "print(this_set)" | |
| ] | |
| } | |
| ], | |
| "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": "3.9.7" | |
| }, | |
| "colab": { | |
| "provenance": [], | |
| "include_colab_link": true | |
| } | |
| }, | |
| "nbformat": 4, | |
| "nbformat_minor": 0 | |
| } |
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