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‎10. Two Dimensional Lists/1. Intro To Two Dimensional Lists.ipynb‎

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{
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"cells": [
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]]"
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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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"li = [[1,2,3,4],[5,6,7,8],[9,10,11,12],[13,14,15,16]]\n",
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"li"
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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": 2,
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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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"11"
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},
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"execution_count": 2,
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}
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],
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"source": [
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"li[2][2]"
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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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"12"
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},
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}
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],
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"source": [
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"li[2][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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"ename": "IndexError",
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"evalue": "list index out of range",
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"output_type": "error",
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"traceback": [
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"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[1;31mIndexError\u001b[0m Traceback (most recent call last)",
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"\u001b[1;32m<ipython-input-4-8a1343be0e21>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mli\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m5\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
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"\u001b[1;31mIndexError\u001b[0m: list index out of range"
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]
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}
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],
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"source": [
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"li[2][5]"
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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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{
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"data": {
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"text/plain": [
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"[[1, 2, 3, 4], [5, 6, 20, 8], [9, 10, 11, 12], [13, 14, 15, 16]]"
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]
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},
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"execution_count": 5,
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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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"li[1][2]=20\n",
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"li"
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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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"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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"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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}

‎10. Two Dimensional Lists/2. How Two Dimensional Lists Are Stored.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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"scrolled": true
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[[1, 2, 3, 4], [5, 6, 7, 8]]"
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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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"li = [[1,2,3,4],[5,6,7,8]]\n",
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"li"
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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": 2,
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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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"[1, 2, 3, 4]"
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]
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},
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"execution_count": 2,
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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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"li[0]"
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]
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},
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{
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"cell_type": "code",
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"outputs": [
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{
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"data": {
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"text/plain": [
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"list"
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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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"type(li[0])"
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},
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{
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"cell_type": "code",
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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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"2"
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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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"li[0][1]"
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]
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},
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{
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"cell_type": "code",
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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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"[[1, 4, 3, 4], [5, 6, 7, 8]]"
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]
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},
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"execution_count": 5,
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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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"li[0][1]=4\n",
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"li"
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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": 6,
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"1839499451136"
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"metadata": {},
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}
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],
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"source": [
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"id(li)"
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},
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{
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"source": [
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"li[1]=\"PArikh\""
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{
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"execution_count": 10,
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{
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"data": {
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"text/plain": [
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"[[1, 4, 3, 4], 'PArikh']"
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]
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},
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"execution_count": 10,
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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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{
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{
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"data": {
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"[[1, 4, 3, 4], [6, 7, 8, 9]]"
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]
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},
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"execution_count": 11,
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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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"li[1]=[6,7,8,9]\n",
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"li"
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]
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}
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],
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"metadata": {
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"name": "python3"
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