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 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Mobile-Friendly Jupyter Notebook\n",
    "\n",
    "This environment is optimized for mobile development. The classic Jupyter Notebook interface is more touch-friendly than JupyterLab.\n",
    "\n",
    "## Basic Usage\n",
    "\n",
    "- Tap a cell to select it\n",
    "- Use the toolbar buttons to run cells\n",
    "- Create new cells with the + button\n",
    "- Save your work frequently"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "source": [
    "# Simple test to verify the environment\n",
    "print(\"Hello from Jupyter!\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Available Libraries\n",
    "\n",
    "Let's check what libraries are available:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import torch\n",
    "import transformers\n",
    "\n",
    "libraries = {\n",
    "    \"NumPy\": np.__version__,\n",
    "    \"Pandas\": pd.__version__,\n",
    "    \"PyTorch\": torch.__version__,\n",
    "    \"Transformers\": transformers.__version__\n",
    "}\n",
    "\n",
    "for lib, version in libraries.items():\n",
    "    print(f\"{lib}: {version}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Simple Data Visualization\n",
    "\n",
    "Here's a basic example of data visualization that should work well on mobile:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "source": [
    "# Configure matplotlib for better mobile display\n",
    "plt.rcParams['figure.figsize'] = (8, 6)  # Smaller figure size\n",
    "plt.rcParams['font.size'] = 14  # Larger font\n",
    "plt.rcParams['lines.linewidth'] = 3  # Thicker lines\n",
    "plt.rcParams['axes.labelsize'] = 14  # Larger axis labels\n",
    "plt.rcParams['axes.titlesize'] = 16  # Larger title\n",
    "\n",
    "# Generate sample data\n",
    "x = np.linspace(0, 10, 30)  # Fewer points for mobile\n",
    "y = np.sin(x)\n",
    "\n",
    "# Create the plot\n",
    "plt.figure()\n",
    "plt.plot(x, y, 'o-', markersize=8)\n",
    "plt.title('Mobile-Friendly Plot')\n",
    "plt.xlabel('X axis')\n",
    "plt.ylabel('Y axis')\n",
    "plt.grid(True)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Creating a New Notebook\n",
    "\n",
    "To create a new notebook:\n",
    "\n",
    "1. Click the \"Files\" tab at the top\n",
    "2. Navigate to the directory where you want to create the notebook\n",
    "3. Click the \"New\" dropdown menu and select \"Python 3\"\n",
    "\n",
    "## Tips for Mobile Development\n",
    "\n",
    "- Keep code cells short and focused\n",
    "- Use markdown cells for documentation\n",
    "- Save your work frequently\n",
    "- For long sessions, consider using an external keyboard"
   ]
  }
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