3 - Basics of Python.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Basics of Python\n",
    "In order to be able to do most if the things you want to do in Python, you need to know about:\n",
    "1. Printing\n",
    "- Variables\n",
    "- Math\n",
    "- Strings\n",
    "- If/Else\n",
    "- Lists\n",
    "- Loops\n",
    "- Dictionaries\n",
    "- Functions\n",
    "- Importing"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Printing\n",
    "Printing is one way to display things in Python."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Winter is coming.\n"
     ]
    }
   ],
   "source": [
    "print(\"Winter is coming.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "You know nothing Mattan Griffel\n"
     ]
    }
   ],
   "source": [
    "print(\"You know nothing\", \"Mattan Griffel\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "since feeling is first\n",
      "who pays any attention\n",
      "to the syntax of things\n",
      "will never wholly kiss you;\n",
      "wholly to be a fool\n",
      "while Spring is in the world\n",
      "my blood approves\n",
      "and kisses are a better fate\n",
      "than wisdom\n",
      "lady i swear by all flowers. Don't cry\n",
      "—the best gesture of my brain is less than\n",
      "your eyelids' flutter which says\n",
      "we are for each other: then\n",
      "laugh, leaning back in my arms\n",
      "for life's not a paragraph\n",
      "and death i think is no parenthesis\n"
     ]
    }
   ],
   "source": [
    "# \"Since feeling is first\" by E. E. Cummings\n",
    "print(\"since feeling is first\")\n",
    "print(\"who pays any attention\")\n",
    "print(\"to the syntax of things\")\n",
    "print(\"will never wholly kiss you;\")\n",
    "print(\"wholly to be a fool\")\n",
    "print(\"while Spring is in the world\")\n",
    "\n",
    "print(\"my blood approves\")\n",
    "print(\"and kisses are a better fate\")\n",
    "print(\"than wisdom\")\n",
    "print(\"lady i swear by all flowers. Don't cry\") # I love this line\n",
    "print(\"—the best gesture of my brain is less than\")\n",
    "print(\"your eyelids' flutter which says\")\n",
    "\n",
    "print(\"we are for each other: then\")\n",
    "print(\"laugh, leaning back in my arms\")\n",
    "print(\"for life's not a paragraph\")\n",
    "\n",
    "print(\"and death i think is no parenthesis\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Variables\n",
    "Variables are just nicknames for things in Python. They're plain, lowercase words separated by underscores."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "name = \"Mattan Griffel\"\n",
    "orphan_fee = 200\n",
    "teddy_bear_fee = 121.80\n",
    "total = orphan_fee + teddy_bear_fee"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mattan Griffel, the total will be $321.80\n"
     ]
    }
   ],
   "source": [
    "print(f\"{name}, the total will be ${total:.2f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Math\n",
    "Python has a bunch of built-in math operators, including:\n",
    "- `+` plus\n",
    "- `-` minus\n",
    "- `*` multiplication\n",
    "- `/` division\n",
    "- `**` exponent\n",
    "- `%` modulo\n",
    "- `>` greater than\n",
    "- `<` less than\n",
    "- [and more](https://docs.python.org/3.7/library/operator.html#mapping-operators-to-functions)!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "What is the answer to life, the universe, and everything 42\n"
     ]
    }
   ],
   "source": [
    "answer = int((40 + 30 - 7) * 2 / 3)\n",
    "print(\"What is the answer to life, the universe, and everything\", answer)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Is it true that 5 * 2 > 3 * 4?\n",
      "False\n"
     ]
    }
   ],
   "source": [
    "print(\"Is it true that 5 * 2 > 3 * 4?\")\n",
    "print(5 * 2 > 3 * 4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Strings\n",
    "Strings are text surrounded by quotes, Both single ('') and double (\"\") can be used. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "kanye_quote = \"My greatest pain in life is that \\\n",
    "I will never be able to see myself perform live.\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "My greatest pain in life is that I will never be able to see myself perform live.\n"
     ]
    }
   ],
   "source": [
    "print(kanye_quote)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This is how you print a \n",
      "line break\n"
     ]
    }
   ],
   "source": [
    "print(\"This is how you print a \\nline break\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Or a \ttab\n"
     ]
    }
   ],
   "source": [
    "print(\"Or a \\ttab\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "STOP YELLING\n"
     ]
    }
   ],
   "source": [
    "print(\"stop yelling\".upper())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "i'm not yelling\n"
     ]
    }
   ],
   "source": [
    "print(\"I'M NOT YELLING\".lower())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# If Statements\n",
    "You can use `if`, `elif` and `else` to check things in Python."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I'm against picketing, but I don't know how to show it.\n"
     ]
    }
   ],
   "source": [
    "answer = \"Yes\"\n",
    "\n",
    "if answer.lower() == \"yes\":\n",
    "    print(\"I'm against picketing, but I don't know how to show it.\")\n",
    "    # Mitch Hedberg (RIP)\n",
    "elif answer.lower() == \"no\":\n",
    "    print(\"Fine.\")\n",
    "else:\n",
    "    print(\"I don't understand.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Lists\n",
    "In Python, lists are a way of grouping together similar things (usually)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "the_count = [1, 2, 3, 4, 5]\n",
    "stocks = [\"FB\", \"AAPL\", \"NFLX\", \"GOOGL\"]\n",
    "random_things = [55, 1/2, \"Puppies\", stocks]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[55, 0.5, 'Puppies', ['FB', 'AAPL', 'NFLX', 'GOOGL']]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "random_things"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Mattan', 'Helena']\n"
     ]
    }
   ],
   "source": [
    "people = []\n",
    "people.append(\"Mattan\")\n",
    "people.append(\"Jennifer\")\n",
    "people.append(\"Helena\")\n",
    "people.remove(\"Jennifer\")\n",
    "print(people)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['New York', 'San Francisco', 'London']\n"
     ]
    }
   ],
   "source": [
    "cities = \"New York, San Francisco, London\".split(\", \")\n",
    "print(cities)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "New York\n"
     ]
    }
   ],
   "source": [
    "first_city = cities[0]\n",
    "print(first_city)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "San Francisco\n"
     ]
    }
   ],
   "source": [
    "second_city = cities[1]\n",
    "print(second_city)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "London\n"
     ]
    }
   ],
   "source": [
    "last_city = cities[-1]\n",
    "print(last_city)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['New York', 'San Francisco']\n"
     ]
    }
   ],
   "source": [
    "first_two_cities = cities[0:2]\n",
    "print(first_two_cities)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Loops\n",
    "Loops let you run the same code for every item in list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1\n",
      "2\n",
      "3\n"
     ]
    }
   ],
   "source": [
    "numbers = [1, 2, 3]\n",
    "for number in numbers:\n",
    "    print(number)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FB\n",
      "AAPL\n",
      "NFLX\n",
      "GOOG\n"
     ]
    }
   ],
   "source": [
    "stocks = [\"fb\", \"aapl\", \"nflx\", \"goog\"]\n",
    "for stock in stocks:\n",
    "    print(stock.upper())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "55\n",
      "0.5\n",
      "Puppies\n",
      "['fb', 'aapl', 'nflx', 'goog']\n"
     ]
    }
   ],
   "source": [
    "random_things = [55, 1/2, \"Puppies\", stocks]\n",
    "for thing in random_things:\n",
    "    print(thing)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 squared is 1\n",
      "2 squared is 4\n",
      "3 squared is 9\n",
      "4 squared is 16\n",
      "5 squared is 25\n",
      "6 squared is 36\n",
      "7 squared is 49\n",
      "8 squared is 64\n",
      "9 squared is 81\n",
      "10 squared is 100\n",
      "11 squared is 121\n",
      "12 squared is 144\n",
      "13 squared is 169\n",
      "14 squared is 196\n",
      "15 squared is 225\n",
      "16 squared is 256\n",
      "17 squared is 289\n",
      "18 squared is 324\n",
      "19 squared is 361\n",
      "20 squared is 400\n",
      "21 squared is 441\n",
      "22 squared is 484\n",
      "23 squared is 529\n",
      "24 squared is 576\n",
      "25 squared is 625\n",
      "26 squared is 676\n",
      "27 squared is 729\n",
      "28 squared is 784\n",
      "29 squared is 841\n",
      "30 squared is 900\n",
      "31 squared is 961\n",
      "32 squared is 1024\n",
      "33 squared is 1089\n",
      "34 squared is 1156\n",
      "35 squared is 1225\n",
      "36 squared is 1296\n",
      "37 squared is 1369\n",
      "38 squared is 1444\n",
      "39 squared is 1521\n",
      "40 squared is 1600\n",
      "41 squared is 1681\n",
      "42 squared is 1764\n",
      "43 squared is 1849\n",
      "44 squared is 1936\n",
      "45 squared is 2025\n",
      "46 squared is 2116\n",
      "47 squared is 2209\n",
      "48 squared is 2304\n",
      "49 squared is 2401\n",
      "50 squared is 2500\n",
      "51 squared is 2601\n",
      "52 squared is 2704\n",
      "53 squared is 2809\n",
      "54 squared is 2916\n",
      "55 squared is 3025\n",
      "56 squared is 3136\n",
      "57 squared is 3249\n",
      "58 squared is 3364\n",
      "59 squared is 3481\n",
      "60 squared is 3600\n",
      "61 squared is 3721\n",
      "62 squared is 3844\n",
      "63 squared is 3969\n",
      "64 squared is 4096\n",
      "65 squared is 4225\n",
      "66 squared is 4356\n",
      "67 squared is 4489\n",
      "68 squared is 4624\n",
      "69 squared is 4761\n",
      "70 squared is 4900\n",
      "71 squared is 5041\n",
      "72 squared is 5184\n",
      "73 squared is 5329\n",
      "74 squared is 5476\n",
      "75 squared is 5625\n",
      "76 squared is 5776\n",
      "77 squared is 5929\n",
      "78 squared is 6084\n",
      "79 squared is 6241\n",
      "80 squared is 6400\n",
      "81 squared is 6561\n",
      "82 squared is 6724\n",
      "83 squared is 6889\n",
      "84 squared is 7056\n",
      "85 squared is 7225\n",
      "86 squared is 7396\n",
      "87 squared is 7569\n",
      "88 squared is 7744\n",
      "89 squared is 7921\n",
      "90 squared is 8100\n",
      "91 squared is 8281\n",
      "92 squared is 8464\n",
      "93 squared is 8649\n",
      "94 squared is 8836\n",
      "95 squared is 9025\n",
      "96 squared is 9216\n",
      "97 squared is 9409\n",
      "98 squared is 9604\n",
      "99 squared is 9801\n",
      "100 squared is 10000\n"
     ]
    }
   ],
   "source": [
    "for number in range(1, 101):\n",
    "    print(f\"{number} squared is {number**2}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Appending 1 into list\n",
      "Appending 4 into list\n",
      "Appending 9 into list\n",
      "Appending 16 into list\n",
      "Appending 25 into list\n",
      "Appending 36 into list\n",
      "Appending 49 into list\n",
      "Appending 64 into list\n",
      "Appending 81 into list\n",
      "Appending 100 into list\n",
      "Appending 121 into list\n",
      "Appending 144 into list\n",
      "Appending 169 into list\n",
      "Appending 196 into list\n",
      "Appending 225 into list\n",
      "Appending 256 into list\n",
      "Appending 289 into list\n",
      "Appending 324 into list\n",
      "Appending 361 into list\n",
      "Appending 400 into list\n",
      "Appending 441 into list\n",
      "Appending 484 into list\n",
      "Appending 529 into list\n",
      "Appending 576 into list\n",
      "Appending 625 into list\n",
      "Appending 676 into list\n",
      "Appending 729 into list\n",
      "Appending 784 into list\n",
      "Appending 841 into list\n",
      "Appending 900 into list\n",
      "Appending 961 into list\n",
      "Appending 1024 into list\n",
      "Appending 1089 into list\n",
      "Appending 1156 into list\n",
      "Appending 1225 into list\n",
      "Appending 1296 into list\n",
      "Appending 1369 into list\n",
      "Appending 1444 into list\n",
      "Appending 1521 into list\n",
      "Appending 1600 into list\n",
      "Appending 1681 into list\n",
      "Appending 1764 into list\n",
      "Appending 1849 into list\n",
      "Appending 1936 into list\n",
      "Appending 2025 into list\n",
      "Appending 2116 into list\n",
      "Appending 2209 into list\n",
      "Appending 2304 into list\n",
      "Appending 2401 into list\n",
      "Appending 2500 into list\n",
      "Appending 2601 into list\n",
      "Appending 2704 into list\n",
      "Appending 2809 into list\n",
      "Appending 2916 into list\n",
      "Appending 3025 into list\n",
      "Appending 3136 into list\n",
      "Appending 3249 into list\n",
      "Appending 3364 into list\n",
      "Appending 3481 into list\n",
      "Appending 3600 into list\n",
      "Appending 3721 into list\n",
      "Appending 3844 into list\n",
      "Appending 3969 into list\n",
      "Appending 4096 into list\n",
      "Appending 4225 into list\n",
      "Appending 4356 into list\n",
      "Appending 4489 into list\n",
      "Appending 4624 into list\n",
      "Appending 4761 into list\n",
      "Appending 4900 into list\n",
      "Appending 5041 into list\n",
      "Appending 5184 into list\n",
      "Appending 5329 into list\n",
      "Appending 5476 into list\n",
      "Appending 5625 into list\n",
      "Appending 5776 into list\n",
      "Appending 5929 into list\n",
      "Appending 6084 into list\n",
      "Appending 6241 into list\n",
      "Appending 6400 into list\n",
      "Appending 6561 into list\n",
      "Appending 6724 into list\n",
      "Appending 6889 into list\n",
      "Appending 7056 into list\n",
      "Appending 7225 into list\n",
      "Appending 7396 into list\n",
      "Appending 7569 into list\n",
      "Appending 7744 into list\n",
      "Appending 7921 into list\n",
      "Appending 8100 into list\n",
      "Appending 8281 into list\n",
      "Appending 8464 into list\n",
      "Appending 8649 into list\n",
      "Appending 8836 into list\n",
      "Appending 9025 into list\n",
      "Appending 9216 into list\n",
      "Appending 9409 into list\n",
      "Appending 9604 into list\n",
      "Appending 9801 into list\n",
      "Appending 10000 into list\n",
      "The value of squares is: [1, 4, 9, 16, 25, 36, 49, 64, 81, 100, 121, 144, 169, 196, 225, 256, 289, 324, 361, 400, 441, 484, 529, 576, 625, 676, 729, 784, 841, 900, 961, 1024, 1089, 1156, 1225, 1296, 1369, 1444, 1521, 1600, 1681, 1764, 1849, 1936, 2025, 2116, 2209, 2304, 2401, 2500, 2601, 2704, 2809, 2916, 3025, 3136, 3249, 3364, 3481, 3600, 3721, 3844, 3969, 4096, 4225, 4356, 4489, 4624, 4761, 4900, 5041, 5184, 5329, 5476, 5625, 5776, 5929, 6084, 6241, 6400, 6561, 6724, 6889, 7056, 7225, 7396, 7569, 7744, 7921, 8100, 8281, 8464, 8649, 8836, 9025, 9216, 9409, 9604, 9801, 10000]\n"
     ]
    }
   ],
   "source": [
    "squares = []\n",
    "for number in range(1, 101):\n",
    "    print(f\"Appending {number**2} into list\")\n",
    "    squares.append(number**2)\n",
    "print(f\"The value of squares is: {squares}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Dictionaries\n",
    "Dictionaries are like lists but you can label each item."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "states = {'NY': 'New York', 'PA': 'Pennsylvania', 'CA': 'California'}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Pennsylvania\n"
     ]
    }
   ],
   "source": [
    "print(states[\"PA\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "user = {'name': 'Mattan', \n",
    "        'height': 70, \n",
    "        'shoe size': 10.5, \n",
    "        'hair': 'Brown', \n",
    "        'eyes': 'Brown'}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Name: Mattan\n",
      "Height: 70\n",
      "Shoe Size: 10.5\n",
      "Hair: Brown\n",
      "Eyes: Brown\n"
     ]
    }
   ],
   "source": [
    "print(f\"Name: {user['name']}\")\n",
    "print(f\"Height: {user['height']}\")\n",
    "print(f\"Shoe Size: {user['shoe size']}\")\n",
    "print(f\"Hair: {user['hair']}\")\n",
    "print(f\"Eyes: {user['eyes']}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'NY': 'New York', 'PA': 'Pennsylvania', 'CA': 'California', 'FL': 'Florida'}\n"
     ]
    }
   ],
   "source": [
    "states[\"FL\"] = \"Florida\"\n",
    "print(states)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Functions\n",
    "Functions are just way to save code so that you can run it over and over later."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "def greet(name):\n",
    "    return f\"Hey {name}!\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Hey Mattan!'"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "greet(\"Mattan\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "def future_value(present_value, rate, periods):\n",
    "    future_value = present_value * (1 + rate) ** periods\n",
    "    return round(future_value, 2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "161.05"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "future_value(100, .1, 5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Importing\n",
    "You can install other libraries from the [Python Package Index](https://pypi.org/) using `pip` and then `import` them to expand the functionality of Python."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting iexfinance\n",
      "  Using cached https://files.pythonhosted.org/packages/c3/b8/e5e9004aa921fd43ad624bd0174c64e65116b93c86633152e201d0ba09d3/iexfinance-0.4.0-py3-none-any.whl\n",
      "Requirement already satisfied: requests in /Users/mattangriffel/anaconda3/lib/python3.7/site-packages (from iexfinance) (2.21.0)\n",
      "Requirement already satisfied: pandas in /Users/mattangriffel/anaconda3/lib/python3.7/site-packages (from iexfinance) (0.23.4)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in /Users/mattangriffel/anaconda3/lib/python3.7/site-packages (from requests->iexfinance) (2018.11.29)\n",
      "Requirement already satisfied: idna<2.9,>=2.5 in /Users/mattangriffel/anaconda3/lib/python3.7/site-packages (from requests->iexfinance) (2.8)\n",
      "Requirement already satisfied: urllib3<1.25,>=1.21.1 in /Users/mattangriffel/anaconda3/lib/python3.7/site-packages (from requests->iexfinance) (1.24.1)\n",
      "Requirement already satisfied: chardet<3.1.0,>=3.0.2 in /Users/mattangriffel/anaconda3/lib/python3.7/site-packages (from requests->iexfinance) (3.0.4)\n",
      "Requirement already satisfied: python-dateutil>=2.5.0 in /Users/mattangriffel/anaconda3/lib/python3.7/site-packages (from pandas->iexfinance) (2.7.5)\n",
      "Requirement already satisfied: pytz>=2011k in /Users/mattangriffel/anaconda3/lib/python3.7/site-packages (from pandas->iexfinance) (2018.7)\n",
      "Requirement already satisfied: numpy>=1.9.0 in /Users/mattangriffel/anaconda3/lib/python3.7/site-packages (from pandas->iexfinance) (1.15.4)\n",
      "Requirement already satisfied: six>=1.5 in /Users/mattangriffel/anaconda3/lib/python3.7/site-packages (from python-dateutil>=2.5.0->pandas->iexfinance) (1.12.0)\n",
      "Installing collected packages: iexfinance\n",
      "Successfully installed iexfinance-0.4.0\n"
     ]
    }
   ],
   "source": [
    "!pip install iexfinance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "from iexfinance.stocks import get_historical_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
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       "  'volume': 7922065},\n",
       " '2015-03-03': {'open': 196.81,\n",
       "  'high': 200.2435,\n",
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       "  'close': 199.56,\n",
       "  'volume': 4432329},\n",
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       "  'close': 199.63,\n",
       "  'volume': 2631626},\n",
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       "  'close': 190.405,\n",
       "  'volume': 4127956},\n",
       " '2015-03-27': {'open': 189.07,\n",
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       "  'close': 185.0,\n",
       "  'volume': 8604947},\n",
       " '2015-03-30': {'open': 185.85,\n",
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       "  'low': 181.8,\n",
       "  'close': 190.57,\n",
       "  'volume': 10089516},\n",
       " '2015-03-31': {'open': 193.53,\n",
       "  'high': 193.76,\n",
       "  'low': 188.41,\n",
       "  'close': 188.77,\n",
       "  'volume': 5026569},\n",
       " '2015-04-01': {'open': 188.7,\n",
       "  'high': 192.3,\n",
       "  'low': 186.05,\n",
       "  'close': 187.59,\n",
       "  'volume': 3794621},\n",
       " '2015-04-02': {'open': 190.23,\n",
       "  'high': 193.23,\n",
       "  'low': 190.0,\n",
       "  'close': 191.0,\n",
       "  'volume': 5010368},\n",
       " '2015-04-06': {'open': 198.0,\n",
       "  'high': 207.75,\n",
       "  'low': 197.5,\n",
       "  'close': 203.1,\n",
       "  'volume': 12455811},\n",
       " '2015-04-07': {'open': 202.51,\n",
       "  'high': 205.06,\n",
       "  'low': 201.14,\n",
       "  'close': 203.25,\n",
       "  'volume': 4347864},\n",
       " '2015-04-08': {'open': 208.2,\n",
       "  'high': 210.9,\n",
       "  'low': 205.87,\n",
       "  'close': 207.67,\n",
       "  'volume': 6303117},\n",
       " '2015-04-09': {'open': 208.43,\n",
       "  'high': 210.37,\n",
       "  'low': 206.12,\n",
       "  'close': 210.09,\n",
       "  'volume': 3800225},\n",
       " '2015-04-10': {'open': 209.85,\n",
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       "  'low': 209.0,\n",
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       "  'volume': 4067676},\n",
       " '2015-04-13': {'open': 210.435,\n",
       "  'high': 213.0,\n",
       "  'low': 209.05,\n",
       "  'close': 209.78,\n",
       "  'volume': 3758230},\n",
       " '2015-04-14': {'open': 208.57,\n",
       "  'high': 209.49,\n",
       "  'low': 205.5,\n",
       "  'close': 207.46,\n",
       "  'volume': 3025963},\n",
       " '2015-04-15': {'open': 207.46,\n",
       "  'high': 209.59,\n",
       "  'low': 206.6,\n",
       "  'close': 207.83,\n",
       "  'volume': 1952378},\n",
       " '2015-04-16': {'open': 207.7,\n",
       "  'high': 209.17,\n",
       "  'low': 206.29,\n",
       "  'close': 206.7,\n",
       "  'volume': 1659059},\n",
       " '2015-04-17': {'open': 204.99,\n",
       "  'high': 206.88,\n",
       "  'low': 203.5,\n",
       "  'close': 206.79,\n",
       "  'volume': 2469926},\n",
       " '2015-04-20': {'open': 206.78,\n",
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       "  'low': 203.85,\n",
       "  'close': 205.27,\n",
       "  'volume': 2559251},\n",
       " '2015-04-21': {'open': 205.8,\n",
       "  'high': 210.75,\n",
       "  'low': 204.31,\n",
       "  'close': 209.41,\n",
       "  'volume': 3432541},\n",
       " '2015-04-22': {'open': 212.5,\n",
       "  'high': 221.88,\n",
       "  'low': 211.69,\n",
       "  'close': 219.44,\n",
       "  'volume': 7863037},\n",
       " '2015-04-23': {'open': 218.27,\n",
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       "  'close': 218.6,\n",
       "  'volume': 4411184},\n",
       " '2015-04-24': {'open': 220.5,\n",
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       " ...}"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_historical_data(\"TSLA\")"
   ]
  }
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