dictionaries.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Creating Dictionary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'item': 'name', 'type': 4, 'color': 'pink'}\n"
     ]
    }
   ],
   "source": [
    "d = {\n",
    "    \"item\": \"name\",\n",
    "    \"type\": 4,\n",
    "    \"color\": \"pink\"\n",
    "}\n",
    "\n",
    "print(d)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "d[\"made in\"] = \"china\" #to add new item to the dictionary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'item': 'name', 'type': 4, 'color': 'pink', 'made in': 'china'}"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Nesting Revisited"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'number': 2, 'weight': 4.002602, 'symbol': 'He'}\n",
      "1.00794\n"
     ]
    }
   ],
   "source": [
    "elements = {\n",
    "    \"hydrogen\": {\n",
    "        \"number\": 1,\n",
    "        \"weight\": 1.00794,\n",
    "        \"symbol\": \"H\"\n",
    "    },\n",
    "\n",
    "    \"helium\": {\n",
    "        \"number\": 2,\n",
    "        \"weight\": 4.002602,\n",
    "        \"symbol\": \"He\"\n",
    "    }\n",
    "}\n",
    "\n",
    "helium = elements[\"helium\"]  # get the helium dictionary\n",
    "hydrogen_weight = elements[\"hydrogen\"][\"weight\"]  # get hydrogen's weight\n",
    "\n",
    "print(helium)\n",
    "print(hydrogen_weight)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Dictionary Methods"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- **Get** and missing keys \n",
    "### <center> get(key ,Default Value) = value</center>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "mydict = dict(\n",
    "    name = \"H\",\n",
    "    job = \"dev\",\n",
    "    age = 40\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "None\n"
     ]
    }
   ],
   "source": [
    "print(mydict.get(\"Department\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "software engineer\n"
     ]
    }
   ],
   "source": [
    "print(mydict.get(\"Department\", \"software engineer\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- **Items**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "name ==> H\n",
      "job ==> dev\n",
      "age ==> 40\n"
     ]
    }
   ],
   "source": [
    "for key, value in mydict.items():\n",
    "    print(f\"{key} ==> {value}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Keys and Values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Keys: ['name', 'job', 'age']\n",
      "Values: ['H', 'dev', 40]\n"
     ]
    }
   ],
   "source": [
    "keys = list(mydict.keys())\n",
    "values = list(mydict.values())\n",
    "\n",
    "print(f\"Keys: {keys}\\nValues: {values}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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