04 Variables/4.5 Slicing Indexed Variables.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "736b4d2b",
   "metadata": {},
   "source": [
    "# Slicing Indexed Variables"
   ]
  },
  {
   "attachments": {
    "image-2.png": {
     "image/png": 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r6uowrCgrLS0rLcVLgyHZ6XTa7XZVpBAMyakpAh7RDSKCIRlHzyHH4fkLMqMFGuw4xoSxr9HegtmAiKIoihffsVcOHQaA1BSBfd1ms6naiXFTRJIk1uAkIPm75i/IZM43ZBJ7TNQd8nZsFmRYcHw6nU4Yay2m51arFaLbrCiKLMsxrLVarYa+hUkcE1z+K+fCCn9ckiSLxRKt7/iLY9xO2wjrOK0lbR5Pe9uJ5dVVeE0SAARlGQBYWMF45dDh37UcVxTF4XCgEtvtdkmSDjkO+7ydAFBuq8gRs10uFwYRTqfT7XbbbDaHw6EoSl1dncvlkmUZANrbTmhjbK/Xu3Pnzn/74bYDBw5gg8uqa75y/31aAwRBuLO8gp1yOp1OpxO702KxsMmtsbHRbreXlFqf27sHJ9vGxkaLxbJt2zb8CgsUXS6X0+lE20rKbl+3eiVz346du7KzxdSUOXgLQRAaGhomYSjzI1VFbJPYswiCYLfbo82Q5G1dugKnVQrb6fMBgCiKO3buYuOcRdl8Ch/NWnT15kspW2Nj4+q1a31eX4vrOLbc0NDA7sg7RxCEf3ls64IMC7oFAN5sfgMAtm/fLggCfyVvkqp9PLVv/wHd27FeBgAWJWjHBmufOQGLO1u3bk188skn0+fOdblcPadPW63W5ORk9uSFBfkAIEnS008/jXFmMCT/9KfPJCcnfetb31pWbX//g06P+72FnxPLSksA4Oix14aGLsi9Z+65p7K2ttZqtWZmZp44cWLz5s0rV65cevttKs96PB5Zljs63i8uLqqvrx+NmN5sfqO4uHju3LkAsG//gXdPtNrt9vr6+uTk5GPHjiYnJ+fm5nq93l/+8pcrVqyor69HLb+1uBgfu6Wlpbyi4pbcxVar1eVy4TXolKPHXktOTsLIyul0vvTSS3eWVzz44IOLb8l9t/X3Xt+pO+64Ha166aVfDSjhCyOwbs3qZdV2j8ftlwLs7LXjTx0dHrfbbrdnaLQ7hkmYk+OzlJVZcUgVFxfl5uaqGiFv69L8xutizqLi4iJ2pOP99yVJkiQJHSUIQrPTyRz1zDPPDITP4fiXAgGvz6e11uPx+Hy+lStXJicno6PkUGhh5s0PPvhgcXFRc3OzIAjYQXz3Vd5zj7go55bcxcwtkJC08qv/WFVVZbFY8ErsIIvFcuzo0cWLF2dkZLD2c3MXM2v7zv4fAGzYuFF1O+zl1WvXrl2zJqwMtLhc2F8ej0eSJJ/Pyz8ytl9cXOSXApaMjK1bH7Pb7RaLJQkAcHZyOp1NTU12ux17GvH6TvEBjOPVI6iseMRaemt72wl2vRwKKoqyjZM0nHxycnJ046iuwGlZljfU12MobrOVv9n8RlCWRVFs83haXMfZKbvd3hU47Xa77XZ7eGAAAEpKrYIg8LExn8P7/X5FUeZnZLD7yqFgSWkZACiK4nQ62QS7IMOC2SxOcbhgJKSksoBIEAQlfM7gOLwSekMhAMCADo/U1dUVFBTENsnpdJaU3c4igrz8Qqn5Dd0iAnlbSzAkayO7rsBpRVGqa2rQGxh9o6NQkTEQiNEsH7mgo/LyC9EDqSkCAJwLDwAAxu/ltssBHTardQsAOJ3OclsFvuEWy5g8BQCsViueQmvDA+fxu3g7dmWL6/iaNWvwuTIs82M/Mna9IAiSv+vO8grWuRfLnxhhOl49sn//fr8UYDEP63v0b3vbibq6OtX7j8MoGJJlWVad1UZ9PL3BnvyCQpa684/n9vxJFEU+q7fMu6k32AMAYrYoCILj1SN1/1DL9xyfw6tKgGhbziIRAFwul6IoNls5+yKfkfn9fgCwVy9jRxRFYR64pqCv+NpnTk5ObJMw71uzZg3fDr7b2vbJ21qkgASXBjAj0PUx7yiUcnw6t9udV1gEAG0ej9vzJ5+3E2uoKnqDPXn5hfjvkNwrCAITBUwreOdUcM5BtG7Bjq6wleNymMvlyi8oxIkhJPdaLBa2uInWLq+u4ptCnx93tVgsFqvV2ubx+Luk37Ucv7O8ghkc7ZFRv9BgJIn9a0GG5eEN33Bm3+xwOPIL8stKS7HvF2TM5/3Lz2DYNI7sUz4vAJSUjhHs3mBPtMozCjw/3DGHRLDb+OsDAYnZ2dDQsGfPnh8/1WS325mz+BxeVQJE23D1Ad9MfvTjU1x0sRQQRZE9o8oD1xT0lbb2GcOkYKjXYrHwPRIISPwUxCBv6+LvkgRB4B2INvDbC9jToQ8lSWpvOyEIQl5h0Wa9BWa8jIXekr+r1HpZBPEdRudgy1p9V7kFj8ClaoIoivwGCMnfxfedqk1ezSV/lyzLjY2NAJBfUIjLo6A3NvgO5Q1GLksGgsVLf5dUVlqKGpGXX8D8C2ODIrfbzZrG4csPDqzn8WkODzbOt+bz+gRBKCstxUrvnDljYhM5FGSuEUVx27Ztrxw67HA45mdk4Ff4CFNVAuRtw8mTZ0wY6e+avyBTZSTzwLVDNc54Yph0ytepKnpjDKnTCHlbD63Cog04C148cslIPLWhvr4wPz/Wug/XgrakHQz1Mg2V/F36LYx1Cx7BKiaMXb7Rtq/qC/by45XLqmuW11SrGtF9ZNYIbzCi3jCOopKaMgcA/F2SSgV4nE6nJEksADvl68xetJi/AOcx3pQxN+qSACDl0o4jRVE87jaM+gRBsFgsAwOX9z62eTwYmPEt4MNjO3gvFGb0Dp+q8bapOkNRlFOdHWxFTZKkRdk380bG8EAc0XYbM2/iJh1yHFYURXeWJm/rIoeCbADzNrBZmjcSt2wMhMOx9yXyLfCOQk75OplPhJRU7de1bmFXCoKgurWqfW1fsJcfvzswoGgb0X1k1ghvMJLgdDpdLlcwJCuK4nK5HA4Hbv1kV7Cdv4UFeXApAXO5XG63GwDYAJVlWfWcSDgc1t37jAJ/3NWCJu7YsQMA1q1eiWdLSss87rY2j0dRlDaP58C+feW2ClEUXS4XGoA2MAN6QyFtDs/uy9tmLb1VkiRc0sP7slTwYgzGNXLK12nJWKB9qLiDr2JQlts8HvwPfR7bJKvVKsuy1+sNhuRXDh3GWUt3liZva5EkSZsHBQISbwNbcAWAgoICXLnA9N7r9eKeDhV8CypHqeSgID+POQc3QIGeW3SvxN3oqvZjK0heYRHrZUmScCtN7Edm4H3x30khubfFdXmTcn5B4YaN9ahDXyor/V3L8e898TgAbN++vaCgoNxWgSV9vOx7TzyOE6PX68WaOX+bwvx8URR37twJAKwaz5BDQZvNFpJ7WXLVsHYt07/lNdUDA8pze/YAAL9NACvwuNVXEIRl1TWobriyg98VBIHZuay6prAgj7etrLS0t66Obc3GbQJ4iq3vXDZSlu8cOwtdI7B2gM+LrFmzZkGGLbZJNpvN7Xajh8ttFdU1NYcPHdKdpcnbWvDlVCmsKrPDd5K9hPX19Xv27MGaAjpK2yzfAu8oGFuMBAC73R6Se9kamSiKuO8JNPGm9kosGqra11UQ9nHd6pV79vazMcYST+0j8wZYrVaHw9HedgK30gMARCKRcDjc2dn5ntsdDocjGlTH/X6/3+/Hf/PHdb8biUQ6Ozs/DYZUB/1+/8MPP/ye261qUEU4HNZ+F9vs7OzU/cq4dvKNa4+rjkR7qGtBeCwTN0nXwzzk7WiMa5Iufr8/hkNit6B7x/fcbt7z0VrQXjku2qY+DYZUb/S4Tvg0GOKf1xSJRKKo8DUE96XgnrbJv/uNBnmbiCNT83sZWIalETw5kLeJODI1kqEtwxLXDvI2EUemJjEhCGKGQj/kRxCEAUgyCIIwAEkGQRAGIMkgCMIAJBkEQRiAJIMgCAOQZBAEYQCSDIIgDECSQRCEAUgyCIIwAEkGQRAGIMkgCMIAJBkEQRiAJIMgCAOQZBAEYQCSDIIgDECSQRCEAUgyCIIwAEkGQRAGIMkgCMIAJBkEQRjg/wEO8fnRztla+AAAAABJRU5ErkJggg=="
    },
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"
    }
   },
   "cell_type": "markdown",
   "id": "60dbf3bd",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)\n",
    "\n",
    "![image-2.png](attachment:image-2.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "3753812c",
   "metadata": {},
   "outputs": [],
   "source": [
    "my_string = 'Happy Monday!'\n",
    "             0123456789"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "6c5c223e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "y\n"
     ]
    }
   ],
   "source": [
    "print(my_string[4])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "4cd5733f",
   "metadata": {},
   "outputs": [
    {
     "ename": "IndexError",
     "evalue": "string index out of range",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mIndexError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[1;32m~\\AppData\\Local\\Temp\\ipykernel_133220\\2662271535.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmy_string\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m45\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mIndexError\u001b[0m: string index out of range"
     ]
    }
   ],
   "source": [
    "print(my_string[45])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "04bcb5ad",
   "metadata": {},
   "outputs": [],
   "source": [
    "my_string = 'Happy Monday!'\n",
    "             0123456789"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "d3187e5e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Happy\n"
     ]
    }
   ],
   "source": [
    "print(my_string[0:5])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "38366a67",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "H \n"
     ]
    }
   ],
   "source": [
    "print(my_string[0:9:5])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "543eee6e",
   "metadata": {},
   "outputs": [],
   "source": [
    "my_string = 'Happy Monday!'\n",
    "             0123456789\n",
    "                      -2-1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "0f984c13",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "!\n"
     ]
    }
   ],
   "source": [
    "print(my_string[-1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "a9e14ec4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Monday!\n"
     ]
    }
   ],
   "source": [
    "print(my_string[-7:])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "bdc96d66",
   "metadata": {},
   "outputs": [],
   "source": [
    "my_list = [1,2,3,'this is a list']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "230a4ce7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this \n"
     ]
    }
   ],
   "source": [
    "print(my_list[3][0:5])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "763fa646",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7ab65df2",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "52e9ba13",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "00b38a97",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "25afa190",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9544cc02",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b0097919",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a4e1e63b",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "581f49ad",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "040c8bb8",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2fbada40",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3c9b01b3",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a0ecadb8",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ade77b18",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1fb8bde0",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "968c5001",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8662800b",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "61426c65",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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