{
    "cells": [
        {
            "cell_type": "markdown",
            "id": "698a34ca",
            "metadata": {},
            "source": [
                "# Python Basics - 10. Strings, Slicing, and Unpacking\n",
                "\n",
                "Strings and sequence operations are used everywhere in Python. This notebook covers indexing, slicing, formatting, unpacking, and useful built-in sequence helpers."
            ]
        },
        {
            "cell_type": "markdown",
            "id": "72e74b2b",
            "metadata": {
                "language": "markdown"
            },
            "source": [
                "## Download Notebook\n",
                "\n",
                "{download}`Download this notebook <10_strings_unpacking_and_slicing.ipynb>`\n"
            ]
        },
        {
            "cell_type": "markdown",
            "id": "3f981697",
            "metadata": {},
            "source": [
                "## 1. Indexing and Slicing\n",
                "\n",
                "Python uses zero-based indexing. Negative indices count from the end."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "id": "9ea45258",
            "metadata": {},
            "outputs": [],
            "source": [
                "text = \"Python Language\"\n",
                "print(text[0])\n",
                "print(text[-1])\n",
                "print(text[0:6])\n",
                "print(text[7:])\n",
                "print(text[::-1])  # Reverse string"
            ]
        },
        {
            "cell_type": "markdown",
            "id": "166c18f3",
            "metadata": {},
            "source": [
                "## 2. String Formatting\n",
                "\n",
                "f-strings are the modern and readable way to format output."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "id": "3b20cf97",
            "metadata": {},
            "outputs": [],
            "source": [
                "name = \"Alice\"\n",
                "score = 93.4567\n",
                "print(f\"Student: {name}, score: {score:.2f}\")\n",
                "print(f\"Binary of 10 is {10:b}, hex is {10:x}\")"
            ]
        },
        {
            "cell_type": "markdown",
            "id": "fdbc9bbe",
            "metadata": {},
            "source": [
                "## 3. Sequence Unpacking\n",
                "\n",
                "Unpacking assigns elements from a sequence into multiple variables in one statement."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "id": "bedd78a7",
            "metadata": {},
            "outputs": [],
            "source": [
                "point = (10, 20)\n",
                "x, y = point\n",
                "print(f\"x={x}, y={y}\")\n",
                "\n",
                "numbers = [1, 2, 3, 4, 5]\n",
                "first, *middle, last = numbers\n",
                "print(first, middle, last)"
            ]
        },
        {
            "cell_type": "markdown",
            "id": "144f80e8",
            "metadata": {},
            "source": [
                "## 4. `zip`, `enumerate`, and `sorted`\n",
                "\n",
                "These helpers are frequently used in clean Python code."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "id": "fa2468ef",
            "metadata": {},
            "outputs": [],
            "source": [
                "names = [\"Alice\", \"Bob\", \"Cara\"]\n",
                "scores = [90, 85, 95]\n",
                "\n",
                "for idx, (name, score) in enumerate(zip(names, scores), start=1):\n",
                "    print(f\"{idx}. {name}: {score}\")\n",
                "\n",
                "print(sorted(names, reverse=True))"
            ]
        }
    ],
    "metadata": {
        "language_info": {
            "name": "python"
        }
    },
    "nbformat": 4,
    "nbformat_minor": 5
}