Assignment _5 Solution.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Ans 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{}"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mydict = {}\n",
    "mydictdict"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Ans 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_values([42])"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mydict = {\"foo\":42}\n",
    "mydict.values()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Ans 3"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "Dictionary consist of key,value pair and list consist of normal values of different datatype\n",
    "Eg:\n",
    "Dictionary:\n",
    "mydict = {'a':1,'b':2,'c':3,'d':4}\n",
    "List:\n",
    "mylist = [1,2,3,4,5,\"Umang\",1.23]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Ans 4"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "spam = {'bar':100}\n",
    "spam['foo'] will give me the error as we don't have any key of foo in the spam dictionary "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Ans 5?"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "spam = {'cat':1}\n",
    "spam.keys()\n",
    "As we can see 'cat' in the dictionary spam is a key with value 1 and when we write \n",
    "spam.keys() we are able to find keys(i.e cat) in the spam dictionary"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Ans 6"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "spam = {'cat':1}\n",
    "spam.values()\n",
    "As we can see 'cat' in the dictionary spam is a key with value 1 and when we write \n",
    "spam.values() we are able to find values in the spam dictionary"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Ans 7"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'cat': 1, 'a': 2, 'b': 3, 'color': 'black'}"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spam = {'cat':1 , 'a':2 , 'b':3}\n",
    "if 'color' not in spam.keys():\n",
    "    spam['color']='black'\n",
    "spam"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Ans 8"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1, 2, 3]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spam = {'cat':1 , 'a':2 , 'b':3}\n",
    "list(spam.values())"
   ]
  }
 ],
 "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": 4
}