feat: add detailed comprehension notebooks

comprehensions/dict/dict.ipynb

@@ -0,0 +1,165 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "6b76bccd",
+   "metadata": {},
+   "source": [
+    "# dict comprehension\n",
+    "\n",
+    "Syntax:\n",
+    "\n",
+    "```py\n",
+    "new_dict = {key_expression: value_expression for item in iterable}\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a895bb05",
+   "metadata": {},
+   "source": [
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "88fc1603",
+   "metadata": {},
+   "source": [
+    "## basic dict comprehension"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "d9205630",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "traditional way: {'Alice': 5, 'Bob': 3, 'Charlie': 7}\n",
+      "comprehension way: {'Alice': 5, 'Bob': 3, 'Charlie': 7}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Map names to their text lengths\n",
+    "\n",
+    "names = [\"Alice\", \"Bob\", \"Charlie\"]\n",
+    "\n",
+    "# Traditional way\n",
+    "name_lengths = {}\n",
+    "for name in names:\n",
+    "    name_lengths[name] = len(name)\n",
+    "\n",
+    "print(f\"traditional way: {name_lengths}\")\n",
+    "\n",
+    "# comprehension way\n",
+    "name_lengths = {name: len(name) for name in names}\n",
+    "print(f\"comprehension way: {name_lengths}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "672cea7a",
+   "metadata": {},
+   "source": [
+    "## Merging Two Lists into a Dictionary (Using zip)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "daeaf009",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'id': 101, 'role': 'admin', 'status': 'active'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "keys = [\"id\", \"role\", \"status\"]\n",
+    "values = [101, \"admin\", \"active\"]\n",
+    "\n",
+    "# comprehension way\n",
+    "user_profile = {k: v for k, v in zip(keys, values)}\n",
+    "print(user_profile)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "73d7be84",
+   "metadata": {},
+   "source": [
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f98b9ee6",
+   "metadata": {},
+   "source": [
+    "# Conditional"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "35b3949d",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'banana': 10.8, 'mango': 18.0}\n"
+     ]
+    }
+   ],
+   "source": [
+    "prices = {\"apple\": 5, \"banana\": 12, \"mango\": 20}\n",
+    "\n",
+    "# Keep if price > 10, then apply 10% discount\n",
+    "discounted_price = {item: price * 0.9 for item, price in prices.items() if price > 10}\n",
+    "\n",
+    "print(discounted_price)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4976a37d",
+   "metadata": {},
+   "source": [
+    "> Note: We use .items() to loop through both the keys and values of the original dictionary at the same time."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": ".venv (3.14.7)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.14.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}