What is Data Analytics – Part II?

{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## Exercises\n", "\n", "Answer the questions or complete the tasks outlined in bold below, use the specific method described if applicable." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "** What is 7 to the power of 4?**" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "2401" ] }, "execution_count": 1, "metadata": {}, "output_type": "execute_result" } ], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "** Given the variables:**\n", "\n", " planet = \"Earth\"\n", " diameter = 12742\n", "\n", "** Use .format() to print the following string: **\n", "\n", " The diameter of Earth is 12742 kilometers." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "planet = \"Earth\"\n", "diameter = 12742" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'Earth'" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "planet" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "The diameter of Earth is 12742 kilometers.\n" ] } ], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "** Given this list, use indexing to grab the word \"hello\" **" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": true }, "outputs": [], "source": [ "lst = [1,2,'hello',23,11,1,7]" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'hello'" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "** Create a basic function that returns True if the word 'dog' is contained in the input string. Don't worry about edge cases like a punctuation being attached to the word dog, but do account for capitalization. **" ] }, { "cell_type": "code", "execution_count": 27, "metadata": { "collapsed": true }, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "True" ] }, "execution_count": 28, "metadata": {}, "output_type": "execute_result" } ], "source": [ "findDog('Is there a dog here?')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "** Create a function that counts the number of times the word \"dog\" occurs in a string. Again ignore edge cases. **" ] }, { "cell_type": "code", "execution_count": 30, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "2" ] }, "execution_count": 31, "metadata": {}, "output_type": "execute_result" } ], "source": [ "countDog('This dog runs faster than the other dog dude!')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Final Problem\n", "**You are driving a little too fast, and a police officer stops you. Write a function\n", " to return one of 3 possible results: \"No ticket\", \"Small ticket\", or \"Big Ticket\". \n", " If your speed is 60 or less, the result is \"No Ticket\". If speed is between 61 \n", " and 80 inclusive, the result is \"Small Ticket\". If speed is 81 or more, the result is \"Big Ticket\". Unless it is your birthday (encoded as a boolean value in the parameters of the function) -- on your birthday, your speed can be 5 higher in all \n", " cases. **" ] }, { "cell_type": "code", "execution_count": 36, "metadata": { "collapsed": true }, "outputs": [], "source": [ "def caught_speeding(speed, is_birthday):\n", " pass" ] }, { "cell_type": "code", "execution_count": 42, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'Small Ticket'" ] }, "execution_count": 42, "metadata": {}, "output_type": "execute_result" } ], "source": [ "caught_speeding(81,True)" ] }, { "cell_type": "code", "execution_count": 43, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'Big Ticket'" ] }, "execution_count": 43, "metadata": {}, "output_type": "execute_result" } ], "source": [ "caught_speeding(81,False)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Great job!" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "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": "3.7.6" } }, "nbformat": 4, "nbformat_minor": 1 }