Using List Indicators for Python

Indicators for Lists.ipynb

{
  "cells": [
    {
      "metadata": {
        "trusted": false
      },
      "id": "a7a5321e",
      "cell_type": "code",
      "source": "# This example is one way to link lists by using an index.\n# Using dictionaries should be considered when using indexed lists.\n\nnumber = [1, 2, 3]\nname = [\"Matt\", \"Sue\", \"Rich\"]\n\nind_sue = name.index(\"Sue\")\nind_sue",
      "execution_count": 2,
      "outputs": [
        {
          "data": {
            "text/plain": "1"
          },
          "execution_count": 2,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "trusted": false
      },
      "id": "d943c769",
      "cell_type": "code",
      "source": "number[ind_sue]",
      "execution_count": 4,
      "outputs": [
        {
          "data": {
            "text/plain": "2"
          },
          "execution_count": 4,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    }
  ],
  "metadata": {
    "gist": {
      "id": "",
      "data": {
        "description": "Using List Indicators for Python",
        "public": true
      }
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3 (ipykernel)",
      "language": "python"
    },
    "language_info": {
      "name": "python",
      "version": "3.8.12",
      "mimetype": "text/x-python",
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "pygments_lexer": "ipython3",
      "nbconvert_exporter": "python",
      "file_extension": ".py"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 5
}