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								week1/betaversion/C1_W1_Lab01_Python_Jupyter_Soln.ipynb
									
									
									
									
									
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								week1/betaversion/C1_W1_Lab01_Python_Jupyter_Soln.ipynb
									
									
									
									
									
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{
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 "cells": [
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  {
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   "cell_type": "markdown",
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   "metadata": {},
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   "source": [
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    "# Optional Lab:  Brief Introduction to Python and Jupyter Notebooks\n",
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    "Welcome to the first optional lab! \n",
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    "Optional labs are available to:\n",
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    "- provide information - like this notebook\n",
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    "- reinforce lecture material with hands-on examples\n",
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    "- provide working examples of routines used in the graded labs"
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   ]
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  },
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  {
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   "cell_type": "markdown",
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   "metadata": {},
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   "source": [
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    "## Goals\n",
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    "In this lab, you will:\n",
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    "- Get a brief introduction to Jupyter notebooks\n",
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    "- Take a tour of Jupyter notebooks\n",
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    "- Learn the difference between markdown cells and code cells\n",
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    "- Practice some basic python\n"
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   ]
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  },
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  {
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   "cell_type": "markdown",
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   "metadata": {},
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   "source": [
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    "The easiest way to become familiar with Jupyter notebooks is to take the tour available above in the Help menu:"
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   ]
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  },
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  {
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   "cell_type": "markdown",
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   "metadata": {},
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   "source": [
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    "<figure>\n",
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    "    <center> <img src=\"./images/C1W1L1_Tour.PNG\"  alt='missing' width=\"400\"  ><center/>\n",
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    "<figure/>"
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   ]
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  },
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  {
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   "cell_type": "markdown",
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   "metadata": {},
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   "source": [
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    "Jupyter notebooks have two types of cells that are used in this course. Cells such as this which contain documentation called `Markdown Cells`. The name is derived from the simple formatting language used in the cells. You will not be required to produce markdown cells. Its useful to understand the `cell pulldown` shown in graphic below. Occasionally, a cell will end up in the wrong mode and you may need to restore it to the right state:"
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   ]
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  },
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  {
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   "cell_type": "markdown",
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   "metadata": {},
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   "source": [
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    "<figure>\n",
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    "   <img src=\"./images/C1W1L1_Markdown.PNG\"  alt='missing' width=\"400\"  >\n",
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    "<figure/>"
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   ]
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  },
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  {
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   "cell_type": "markdown",
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   "metadata": {},
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   "source": [
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    "The other type of cell is the `code cell` where you will write your code:"
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   ]
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  },
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  {
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   "cell_type": "code",
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   "execution_count": 1,
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   "metadata": {},
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   "outputs": [
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    {
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     "name": "stdout",
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     "output_type": "stream",
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     "text": [
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      "This is  code cell\n"
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     ]
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    }
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   ],
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   "source": [
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    "#This is  a 'Code' Cell\n",
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    "print(\"This is  code cell\")"
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   ]
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  },
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  {
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   "cell_type": "markdown",
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   "metadata": {},
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   "source": [
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    "## Python\n",
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    "You can write your code in the code cells. \n",
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    "To run the code, select the cell and either\n",
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    "- hold the shift-key down and hit 'enter' or 'return'\n",
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    "- click the 'run' arrow above\n",
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    "<figure>\n",
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    "    <img src=\"./images/C1W1L1_Run.PNG\"  width=\"400\"  >\n",
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    "<figure/>\n",
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    "\n",
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    " "
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   ]
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  },
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  {
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   "cell_type": "markdown",
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   "metadata": {},
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   "source": [
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    "### Print statement\n",
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    "Print statements will generally use the python f-string style.  \n",
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    "Try creating your own print in the following cell.  \n",
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    "Try both methods of running the cell."
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   ]
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  },
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  {
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   "cell_type": "code",
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   "execution_count": 2,
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   "metadata": {},
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   "outputs": [
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    {
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     "name": "stdout",
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     "output_type": "stream",
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     "text": [
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      "f strings allow you to embed variables right in the strings!\n"
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     ]
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    }
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   ],
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   "source": [
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    "# print statements\n",
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    "variable = \"right in the strings!\"\n",
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    "print(f\"f strings allow you to embed variables {variable}\")"
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   ]
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  },
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  {
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   "cell_type": "markdown",
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   "metadata": {},
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   "source": [
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    "# Congratulations!\n",
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    "You now know how to find your way around a Jupyter Notebook."
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   ]
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  }
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 ],
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 "metadata": {
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  "kernelspec": {
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   "display_name": "Python 3",
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   "language": "python",
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   "name": "python3"
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  },
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  "language_info": {
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   "codemirror_mode": {
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    "name": "ipython",
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    "version": 3
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   },
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   "file_extension": ".py",
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   "mimetype": "text/x-python",
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   "name": "python",
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   "nbconvert_exporter": "python",
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   "pygments_lexer": "ipython3",
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   "version": "3.7.6"
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  }
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 },
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 "nbformat": 4,
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 "nbformat_minor": 5
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}
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