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MrinalKarmokarMrinalKarmokar
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‎.gitignore

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# User added
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code/
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problem/
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]

‎__website_link.txt

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Link: https://www.tutorialspoint.com/python_data_structure/

‎jup notebook/01_array.ipynb

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{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "c42b703a",
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"metadata": {},
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"source": [
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"# Array Operation"
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]
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},
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{
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"cell_type": "markdown",
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"id": "3553d5e0",
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"metadata": {},
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"source": [
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"Importing array module"
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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": 8,
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"id": "6aafe23a",
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"metadata": {},
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"outputs": [],
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"source": [
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"from array import *"
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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": 9,
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"id": "b7defe55",
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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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"array('i', [10, 20, 30, 40, 50])"
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]
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},
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"execution_count": 9,
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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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"arr1 = array('i', [10,20,30,40,50])\n",
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"arr1"
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]
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},
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{
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"cell_type": "markdown",
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"id": "beee3612",
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"metadata": {},
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"source": [
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"#### Insertion"
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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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"id": "adb5cbe0",
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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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"array('i', [10, 60, 20, 30, 40, 50])"
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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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"source": [
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"arr1.insert(1,60)\n",
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"arr1"
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]
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},
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{
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"cell_type": "markdown",
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"id": "96f45eb3",
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"metadata": {},
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"source": [
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"#### Deletion"
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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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"id": "e0151076",
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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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"array('i', [10, 60, 20, 30, 50])"
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]
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},
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"execution_count": 11,
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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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"arr1.remove(40)\n",
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"arr1"
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]
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},
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{
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"cell_type": "markdown",
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"id": "12fdc856",
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"metadata": {},
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"source": [
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"#### Search"
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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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"id": "1d3cb3d7",
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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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"2\n"
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]
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}
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],
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"source": [
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"try:\n",
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" print(arr1.index(20))\n",
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"except Exception as e:\n",
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" print(e)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "dee453b0",
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"metadata": {},
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"source": [
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"#### Update"
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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": 13,
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"id": "2dc2dff2",
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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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"array('i', [10, 60, 80, 30, 50])"
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]
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},
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"execution_count": 13,
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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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"arr1[2] = 80\n",
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"arr1"
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]
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},
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{
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"cell_type": "markdown",
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"id": "b5d46fa0",
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"metadata": {},
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"source": [
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"#### Traverse"
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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": 14,
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"id": "1d56ab94",
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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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"10\n",
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"60\n",
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"80\n",
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"30\n",
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"50\n"
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]
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}
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],
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"source": [
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"for elem in arr1:\n",
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" print(elem)"
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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 (ipykernel)",
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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": "3.9.7"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}

‎jup notebook/02_list.ipynb

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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# List Operations"
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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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"\n",
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"list1 = ['physics', 'chemistry', 1997, 2000]\n",
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"list2 = [1, 2, 3, 4, 5 ]\n",
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"list3 = [\"a\", \"b\", \"c\", \"d\"]"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"#### Accessing values"
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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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"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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"list1[0]: physics\n",
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"list2[1:5]: [2, 3, 4, 5]\n"
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]
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}
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],
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"source": [
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"print(f\"list1[0]: {list1[0]}\")\n",
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"print(f\"list2[1:5]: {list2[1:5]}\")"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"#### Updating lists"
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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": 7,
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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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"List before updating: ['physics', 'chemistry', 1997, 2000]\n",
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"List after updating: ['physics', 'chemistry', 2001, 2000]\n"
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]
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}
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],
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"source": [
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"print(f\"List before updating: {list1}\")\n",
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"list1[2] = 2001\n",
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"print(f\"List after updating: {list1}\")"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"#### Deletion of elements"
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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": 8,
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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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"List after deletion: ['physics', 'chemistry', 2000]\n"
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]
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}
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],
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"source": [
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"del list1[2]\n",
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"print(f\"List after deletion: {list1}\")"
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]
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}
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],
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"metadata": {
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"interpreter": {
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"hash": "cf32b4f69c54e9c863acccea1de3d06ac54c2fb2e0fc81f8bc9e3d09ff7ef19d"
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},
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"kernelspec": {
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"display_name": "Python 3.9.7 64-bit ('base': conda)",
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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": "3.9.7"
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},
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"orig_nbformat": 4
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}

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