{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{' ', ',', 'B', 'S', 'a', 'c', 'e', 'i', 'l', 'm', 'o', 'p', 's', 't', 'u'}"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s = set(\"Beam me up Scottie, please\")\n",
    "s"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# many set operations are provided\n",
    "# we will not go into details"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Next we move on to functions and maps\n",
    "# Let's define the square function\n",
    "def sq(x):\n",
    "    return x**2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[0, 1, 4, 9, 16]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# We now apply the function\n",
    "squares = []\n",
    "for i in range(5):\n",
    "    squares.append(sq(i))\n",
    "squares"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0, 1, 4, 9, 16, 25, 36, 49, 64, 81]\n"
     ]
    }
   ],
   "source": [
    "# We can do the above task in a different way using maps\n",
    "# We can use maps to apply a function to a list of items\n",
    "sqs = map(sq, range(10))\n",
    "print(list(sqs))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[3, 5, 7, 6, 5, 5]\n"
     ]
    }
   ],
   "source": [
    "names = ['Ana', 'Amira', 'Barbara', 'Camila', 'Diego', 'Zorro']\n",
    "print(list(map(len,names)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1, 1, 3, 5, 13, 21, 55]\n"
     ]
    }
   ],
   "source": [
    "# Now for filtering\n",
    "fib = [0,1,1,2,3,5,8,13,21,34,55]\n",
    "# filter out all even numbers\n",
    "odd = list(filter(lambda x: x % 2, fib))\n",
    "print(odd)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0, 2, 8, 34]\n"
     ]
    }
   ],
   "source": [
    "print(list(filter(lambda x: x % 2 - 1, fib)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.6.5"
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 "nbformat": 4,
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