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Diff for: ‎.ipynb_checkpoints/Literals_in_Python-checkpoint.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": "63966e1b-970b-407a-a2af-2b12861fe6fc",
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"metadata": {},
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"source": [
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"## Literals in Python \n",
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"#### =====================\n",
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"\n",
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"### Literals is a raw data given in a variable, In Python There are various types of literals they are as follows:\n",
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"\n",
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"1. **Number Literals**\n",
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"2. **String Literals**\n",
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"3. **Boolean Literals**\n",
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"4. **Special Literals**\n",
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"\n",
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"### 1: Number Literals: "
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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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"id": "a57497fc-8659-4acb-9ca9-76f9a9ea2b16",
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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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"10 100 200 300\n",
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"10.5 150.0 0.0015\n",
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"3.14j 3.14 0.0\n"
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]
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}
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],
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"source": [
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"\n",
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"a = 0b1010 #Binary Literals\n",
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"b = 100 #Decimal Literal\n",
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"c = 0o310 #Octal Literal \n",
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"d = 0x12c #hexadecimal literal \n",
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"\n",
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"# float literal \n",
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"float_1 = 10.5\n",
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"float_2 = 1.5e2\n",
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"float_3 = 1.5e-3\n",
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"\n",
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"#complex literal \n",
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"x= 3.14j\n",
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"\n",
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"print(a,b,c,d)\n",
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"print(float_1,float_2,float_3)\n",
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"print(x, x.imag, x.real)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "724e490d-296d-49c6-b514-a22d678d3bc4",
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"metadata": {},
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"source": [
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"### 2. String Literals"
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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": 1,
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"id": "519998b4-9415-459c-a8a7-1c422d6aec00",
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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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"Single-quoted string: Hello, world!\n",
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"Double-quoted string: Python programming\n",
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"Triple single-quoted string:\n",
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" This is a\n",
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"multi-line string.\n",
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"Triple double-quoted string:\n",
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" This is another\n",
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"multi-line string.\n",
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"Escaped characters: This is a newline:\n",
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"And this is a tab:\tHello\n",
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"Raw string: C:\\Users\\Name\\Folder\n",
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"f-string: Hello, Alice!\n",
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"Unicode string: 😄\n",
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"Byte string: b'Hello, bytes!'\n",
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"72\n",
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"101\n",
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"108\n",
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"108\n",
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"111\n",
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"44\n",
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"32\n",
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"98\n",
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"121\n",
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"116\n",
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"101\n",
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"115\n",
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"33\n"
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]
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}
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],
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"source": [
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"# Single quoted string\n",
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"string_1 = 'Hello, world!'\n",
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"\n",
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"# Double quoted string\n",
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"string_2 = \"Python programming\"\n",
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"\n",
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"# Triple single-quoted string (multiline)\n",
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"string_3 = '''This is a\n",
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"multi-line string.'''\n",
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"\n",
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"# Triple double-quoted string (multiline)\n",
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"string_4 = \"\"\"This is another\n",
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"multi-line string.\"\"\"\n",
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"\n",
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"# Escaped characters\n",
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"string_5 = \"This is a newline:\\nAnd this is a tab:\\tHello\"\n",
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"\n",
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"# Raw string\n",
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"string_6 = r\"C:\\Users\\Name\\Folder\"\n",
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"\n",
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"# f-string (formatted string literal)\n",
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"name = \"Alice\"\n",
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"string_7 = f\"Hello, {name}!\"\n",
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"\n",
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"# Unicode string (Python 2.x example)\n",
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"string_8 = u\"\\U0001F604\"\n",
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"\n",
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"\n",
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"# Defining a byte string\n",
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"string_9 = b\"Hello, bytes!\"\n",
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"\n",
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"\n",
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"# Print all the strings\n",
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"print(\"Single-quoted string:\", string_1)\n",
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"print(\"Double-quoted string:\", string_2)\n",
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"print(\"Triple single-quoted string:\\n\", string_3)\n",
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"print(\"Triple double-quoted string:\\n\", string_4)\n",
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"print(\"Escaped characters:\", string_5)\n",
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"print(\"Raw string:\", string_6)\n",
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"print(\"f-string:\", string_7)\n",
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"print(\"Unicode string:\", string_8)\n",
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"print(\"Byte string:\", string_9)\n",
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"# Iterating through a byte string\n",
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"for byte in string_9:\n",
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" print(byte) # Prints the byte values (integers representing the ASCII values)\n"
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]
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},
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{
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"cell_type": "markdown",
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"id": "fa39fafd-8e42-4103-aa3c-07bfae1ef3ef",
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"metadata": {},
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"source": [
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"### 3. Boolean Literals"
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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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"id": "ef2ba7e6-2fab-4594-8573-f5bdf21f29e3",
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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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"a 5\n",
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"b 10\n"
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]
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}
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],
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"source": [
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"a = True + 4\n",
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"b = False + 10\n",
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"\n",
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"print(\"a\", a)\n",
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"print(\"b\", b)\n"
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]
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},
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{
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"cell_type": "markdown",
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"id": "29077efa-3d81-42f7-934e-f4cf05294bb9",
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"metadata": {},
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"source": [
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"### 4. Special Literals"
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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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"id": "8f6d3a3a-bea8-4624-b69c-0105f9b431d3",
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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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"None\n"
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]
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}
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],
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"source": [
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"a = None \n",
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"print(a)\n",
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"\n"
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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": null,
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"id": "d06ae7ea-6c53-4afd-9df9-3b3670eb3449",
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"metadata": {},
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"outputs": [],
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"source": []
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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": "3.13.1"
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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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}

Diff for: ‎.ipynb_checkpoints/Operators_in_Python-checkpoint.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": null,
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"id": "cd483008-d51e-4cb7-8963-c42008b8410a",
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"metadata": {},
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"outputs": [],
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"source": []
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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": "3.13.1"
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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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}

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