wbr2b.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Python Foundations - Whiteboard Round II revB",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wZu0CJ054mZk"
      },
      "source": [
        "<table align=left width=\"590\" height=\"144\" style=\"height: 67px; width: 565px;\">\n",
        "<tbody>\n",
        "<tr>\n",
        "<td width=82><img alt=\"revB\" src=\"https://static1.squarespace.com/static/5992c2c7a803bb8283297efe/t/59c803110abd04d34ca9a1f0/1530629279239/\" /></td>\n",
        "<td style=\"width: 422px; height: 67px;\">\n",
        "<h1 style=\"text-align: left;\">Python Foundations</h1>\n",
        "<h2 style=\"text-align: left;\">Whiteboard Round II</h2>\n",
        "</td>\n",
        "</tr>\n",
        "</tbody>\n",
        "</table>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YCTRDvaLbqZg"
      },
      "source": [
        "from datetime import datetime as dt\n",
        "\n",
        "# Fill in the __author__ string with your name and run this cell.\n",
        "__author__ = \"???\"\n",
        "start_time = dt.utcnow()\n",
        "print(f\"Author: {__author__}\")\n",
        "print(f\"Start Time: {start_time} UTC\")"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3iryC6D4561M"
      },
      "source": [
        "# Strings"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Otg9oxDE4vVo"
      },
      "source": [
        "## 1."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6QFcb-u30yfB"
      },
      "source": [
        "# Create the string \"Python\" from the string defined below\n",
        "# using indexing, slicing, and string methods.\n",
        "p = \"thypon\"\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cavmqUtU5XpN"
      },
      "source": [
        "## 2."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DoBKm1F_5Ya0"
      },
      "source": [
        "# Use string methods to create the string \"Pyth0n\" (that's a zero!)\n",
        "# from the string defined below.\n",
        "s = \"python\"\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "59J8hgqI5k2B"
      },
      "source": [
        "## 3."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LqPRxMWF5lcQ"
      },
      "source": [
        "# Using the variables defined below, print the string \"3 + 5 = 8\"\n",
        "# without using literal integers.\n",
        "n1, n2 = 5, 3\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "J22SGfBh6AoC"
      },
      "source": [
        "# Lists"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "IXG7MKDc53km"
      },
      "source": [
        "## 4."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MpQKIxJP54JM"
      },
      "source": [
        "# Create a list of only the odd digits from the list defined below.\n",
        "digits = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7_05QpeA6Fdo"
      },
      "source": [
        "## 5."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BJGJ2cd76BUv"
      },
      "source": [
        "# Using the resulting list of odd digits, place a -3 at the beginning of the list.\n",
        "odds = [1, 3, 5, 7, 9]\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "m5MA_gNiGHlR"
      },
      "source": [
        "## 6."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0gSWVymEGIFx"
      },
      "source": [
        "# Now, get rid of the 5.\n",
        "odds = [-3, 1, 3, 5, 7, 9]\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XmKDFw9WGIxy"
      },
      "source": [
        "## 7."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TcJyabc6GJy7"
      },
      "source": [
        "# Using the resulting list, use comprehension syntax to create a list of\n",
        "# tuples where each tuple contains the original number and its square (n*n).\n",
        "# e.g., [(-3, 9), (1, 1), (3, 9), (7, 49), (9, 81)]\n",
        "odds = [-3, 1, 3, 7, 9]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Mu1A56c0GKM_"
      },
      "source": [
        "## 8."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "g4ss_TzEGKmT"
      },
      "source": [
        "# Now, sort the resulting list of tuples by each tuple's second item (the\n",
        "# square value).\n",
        "tups = [(-3, 9), (1, 1), (3, 9), (7, 49), (9, 81)]\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "caHgfC8sGLQi"
      },
      "source": [
        "# Loops"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "iNYcXAIhGMaA"
      },
      "source": [
        "## 9."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vJ5T_RQ3GL14"
      },
      "source": [
        "# Build a list containing the length of each word from the given list below.\n",
        "words = ['All', 'across', 'the', 'universe']\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3-neUMOLHBqJ"
      },
      "source": [
        "## 10."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Mth4qc3BHCpi"
      },
      "source": [
        "# Using the enumerate() function in a `for` loop, print each index and word from\n",
        "# the words list. But, if the index is odd, print the word in reverse.\n",
        "words = ['All', 'across', 'the', 'universe']\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ujr0HEaRHFzo"
      },
      "source": [
        "## 11."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "eZWAHh1nHP_W"
      },
      "source": [
        "# Fill in the following code to print the numbers 0-20 counting by 5.\n",
        "for i in range(?, ?, ?):\n",
        "  print(i)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qECsIGImHGGk"
      },
      "source": [
        "## 12."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "oaaLP-TjHQnA"
      },
      "source": [
        "# Using a while loop, remove the largest number from the list defined below\n",
        "# until there are only 5 numbers left.\n",
        "nums = [76, 22, 21, 35, 98, 88, 7, 81, 54, 10]\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_XhHywcxIHkC"
      },
      "source": [
        "# Dictionaries"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GVaGu5OjIOBE"
      },
      "source": [
        "# Run this cell!\n",
        "# Use this dictionary for the questions in this section.\n",
        "person = {\n",
        "    \"name\": \"Jim\",\n",
        "    \"age\": 35,\n",
        "    \"wife\": \"Maggie\"\n",
        "}"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EnAMvbT9HGz4"
      },
      "source": [
        "## 13."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GDSk1dGlHSHf"
      },
      "source": [
        "# Jim just had a birthday! Update his age.\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "b5rRWStkHG4o"
      },
      "source": [
        "## 14."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tDwKo71vHStH"
      },
      "source": [
        "# Find out if Jim has any brothers.\n",
        "# Look for the \"brothers\" key.\n",
        "# Print \"no brothers\" if he does not have any brothers.\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "I4Rc8kO4HG9m"
      },
      "source": [
        "## 15."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6w0HFcd4HTM-"
      },
      "source": [
        "# Jim has a sister!\n",
        "# Add the missing sister to the dictionary -- use any name you'd like.\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xs5vXMr_HHCC"
      },
      "source": [
        "## 16."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vZJd1wf9HT_y"
      },
      "source": [
        "# Tell us about Jim!\n",
        "# Print each piece of Jim's information from the dictionary.\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "AZbLaR9SJEoL"
      },
      "source": [
        "# Functions"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XSbJEwGCJHGO"
      },
      "source": [
        "# Run this cell!\n",
        "# Use this dictionary for the questions in this section.\n",
        "sw = {\n",
        "    'vader': 'sith',\n",
        "    'luke': 'jedi',\n",
        "    'yoda': 'jedi',\n",
        "    'obi-wan': 'jedi',\n",
        "    'qui-gon': 'jedi',\n",
        "    'palaptine': 'sith',\n",
        "    'binks': 'sith'\n",
        "}"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qjlEtteMHHGS"
      },
      "source": [
        "## 17."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HMPXXRVrHUsM"
      },
      "source": [
        "# Create a function that receives the above dictionary\n",
        "# as an argument, and separates the sith from the jedi.\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dEGLImd7HHKk"
      },
      "source": [
        "## 18."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6ZthwoFYHVPp"
      },
      "source": [
        "# Create a function that uses the result from the last question and\n",
        "# prints \"sith win\" or \"jedi win\" based on which side has more people.\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gQTRwduAKayP"
      },
      "source": [
        "# Debugging"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UoP-nqJ4HHOg"
      },
      "source": [
        "## 19."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0wH506LyHO-6"
      },
      "source": [
        "# Fix the bugs in the following code so that it only prints once.\n",
        "total = sum(3, 5, 12, 9)\n",
        "if total < 30:\n",
        "    print 'That's not enough: ' + total\n",
        "if totul > 30:\n",
        "    print('That's too much: ' + total)\n",
        "else:\n",
        "    print('That's perfect: ' + total)\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EWP5BGK1XWg_"
      },
      "source": [
        "# Please run the final cell below, to conclude"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Lsn-jkeyXa_n"
      },
      "source": [
        "# Wrapping up\n",
        "end_time = dt.utcnow()\n",
        "print(f\"End Time: {end_time} UTC\")\n",
        "print(f\"Duration: {end_time - start_time}\")"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "tw0E1A08WZN7"
      },
      "source": [
        "# The End\n",
        "Now, use the **File** menu above and select **Download .ipynb**. Save the file to your computer and submit it for the **Whiteboard Round II** assessment."
      ]
    }
  ]
}