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‎Assignment-16.ipynb‎

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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[1998, 1999, 2000, 2001, 2002]"
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]
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},
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"execution_count": 1,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"years_list = [res for res in range(1998,2003)]\n",
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"years_list"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"2001"
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]
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},
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"execution_count": 3,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"years_list[3]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"2002"
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]
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},
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"execution_count": 4,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"max(years_list)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [],
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"source": [
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"things = [\"mozzarella\", \"cinderella\", \"salmonella\"]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Cinderella\n",
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"Memory location of this transformed element: 1657709639920\n"
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]
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}
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],
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"source": [
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"## this value is stored in different location because of which original list is not affected.\n",
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"print(things[1].capitalize())\n",
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"print(\"Memory location of this transformed element: \",id(things[1].capitalize()))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"['mozzarella', 'cinderella', 'salmonella']\n",
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"Memory location of original list: 1657677592128\n"
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]
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}
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],
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"source": [
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"## No it didnt change element in list.It stores the transforemd element in other memory location hence proved\n",
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"print(things)\n",
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"print(\"Memory location of original list: \",id(things))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 12,
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"metadata": {},
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"outputs": [],
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"source": [
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"surprise_list = [\"Groucho\",\"Chico\",\"Harpo\"] "
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]
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},
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{
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"cell_type": "code",
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"execution_count": 16,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"harpo\n",
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"Reversed List: ['Harpo', 'Chico', 'Groucho']\n"
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]
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},
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{
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"data": {
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"text/plain": [
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"['Groucho', 'Chico', 'Harpo']"
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]
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},
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"execution_count": 16,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"print(surprise_list[2].lower())\n",
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"reverse_list = surprise_list[::-1]\n",
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"print(\"Reversed List: \",reverse_list)\n",
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"[c.capitalize() for c in surprise_list]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 19,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"dict"
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]
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},
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"execution_count": 19,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"e2f = {\"dog\":\"chein\",\"cat\":\"chat\",\"walrus\":\"morse\"}\n",
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"type(e2f)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 21,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"French word for walrus is morse\n"
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]
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}
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],
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"source": [
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"print(\"French word for walrus is \",e2f[\"walrus\"])"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 34,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"{'chein': 'dog', 'chat': 'cat', 'morse': 'walrus'}\n"
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]
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}
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],
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"source": [
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"f2e = {}\n",
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"for english, french in e2f.items():\n",
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" f2e[french] = english\n",
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"print(f2e)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 36,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"English version of the French word chien is dog\n"
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]
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}
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],
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"source": [
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"print(\"English version of the French word chien is \",f2e['chein'])"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 42,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"dict_keys(['dog', 'cat', 'walrus'])"
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]
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},
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"execution_count": 42,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"e2f.keys()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 43,
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"metadata": {},
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"outputs": [],
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"source": [
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"life = {\n",
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" 'animals': {\n",
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" 'cats': ['Henri', 'Grumpy', 'Lucy'],\n",
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" 'octopi': '',\n",
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" 'emus': '',\n",
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" },\n",
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" 'plants': '',\n",
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" 'other': ''\n",
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" }"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 44,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"dict_keys(['animals', 'plants', 'other'])"
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]
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},
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"execution_count": 44,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"life.keys()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 46,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"dict_keys(['cats', 'octopi', 'emus'])"
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]
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},
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"execution_count": 46,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"life.get('animals').keys()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 48,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"['Henri', 'Grumpy', 'Lucy']"
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]
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},
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"execution_count": 48,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"life.get('animals').get('cats')"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.5"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}

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