JupyterNotebookSetup.ipynb

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    "## Jupyter Notebook learning environment\n",
    "\n",
    "- Jupyter Notebook (popular tool in Data Science and Machine Learning) is merely a learning environment\n",
    "    - not a professional development environment esp. for C++ programs\n",
    "- using Jupyter Notebook you can interactively learn many programming languages such as Python, C, Rust, NodeJS, Bash, etc.\n",
    "- allows you to interactively execute code, take notes with text and HTML, and embed multimedia files (image, audio, video, etc.)\n",
    "- most importantly, one can execute codes line by line and save the output result\n",
    "    - can focus on the the line of code to really master all the details and basics\n",
    "- you can also read and execute these notebooks from VS Code with right extensions\n",
    "- pdf version of these notebooks are provided in pdfs folder in the GitHub repository\n",
    "    - pdfs are readonly; can't write and/or execute embedded code in PDF files"
   ]
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setup Jupyter Notebook Environment\n",
    "- it's recommended to install Jupyter Notebook program on your personal computer\n",
    "- you'll also need the xeus-cling C++ kernel to interpret the C++ code and see the results\n",
    "- follow the instructions from [https://github.com/rambasnet/DevEnvSetup](https://github.com/rambasnet/DevEnvSetup) to setup Jupyter Notebook on various platforms "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Online Rendering and Executing Jupyter Notebooks\n",
    "- GitHub (most of the time) renders these notebooks, so one can read the contents directly from GitHub repo\n",
    "    - readonly; can't execute embedded code on GitHub\n",
    "    - rendered output is good enough but not as great\n",
    "- jupyter notebooks can be better rendered in read-only mode using [mybinder.org](https://mybinder.org)\n",
    "- jupyter notebooks can be interactively executed as well using Binder\n",
    "    - Go to [GitHub Repository](https://github.com/rambasnet/CPP-Fundamentals) and click ![Binder](resources/launchbinder.png) logo on the README page"
   ]
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   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "// in Jupyter Notebook, main() is defined implicitly per notebook!\n",
    "// simply, include libraries and write code to execute without main()\n",
    "#include <iostream>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello World!\n"
     ]
    }
   ],
   "source": [
    "std::cout << \"Hello World!\" << std::endl;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "// include this line so you don't have to type std::\n",
    "using namespace std;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello World!\n"
     ]
    }
   ],
   "source": [
    "// by running the above statement, you don't need to type std:: after many symbols\n",
    "cout << \"Hello World!\" << endl;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Good bye...\n"
     ]
    }
   ],
   "source": [
    "cout << \"Good bye...\" << endl;"
   ]
  }
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