{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### ICS 104 - Introduction to Programming in Python and C\n",
    "# Introduction"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Lab Learning Outcomes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "- Install Jupyter notebook correctly\n",
    "- Use Jupyter notebook to view slides and write code.\n",
    "- Know some common practices in developing Python programs.\n",
    "- Write the first Python programs."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Introduction to Jupyter Notebook\n",
    "- Please note that information in this lab is mainly taken from \n",
    "    - https://realpython.com/jupyter-notebook-introduction/\n",
    "    - https://www.tutorialspoint.com/jupyter/jupyter_notebook_types_of_cells.htm\n",
    "    - https://vegibit.com/jupyter-notebook-modes/\n",
    "\n",
    "- The Jupyter Notebook is an open source web application that you can use to create and share documents that contain live code, equations, visualizations, and text. Jupyter Notebook is maintained by the people at Project Jupyter.\n",
    "\n",
    "- The name **Jupyter** comes from the core supported programming languages that it supports: **Ju**lia, **Pyt**hon, and **R** (of course, an **e** was added before **R**). \n",
    "- Jupyter ships with the IPython kernel, which allows you to write your programs in Python."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Creating a Notebook\n",
    "- After you start a Jupyter notebook, click on the New button (upper right), and it will open up a list of choices. Choose Python 3.\n",
    "- A web page is created that may look like this:"
   ]
  },
  {
   "attachments": {
    "emptyNotebook.PNG": {
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"
    }
   },
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "![emptyNotebook.PNG](attachment:emptyNotebook.PNG)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "- Now, go to **View** in the tool bar, click on **Cell Toolbar** and choose **Slide Show**. This will add a **Slide Type** at the upper right corner of each cell, which determines the type of slide it is. If you are interested in more information about this, please consult https://www.dev2qa.com/how-to-create-slideshow-from-jupyter-notebook/. You may need this only if you are planning to produce slides using Jupyter. "
   ]
  },
  {
   "attachments": {
    "SlideType.PNG": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "![SlideType.PNG](attachment:SlideType.PNG)\n",
    "- Note that if you want to create more cells, you can press the **+** button at the upper left."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Naming a Notebook\n",
    "- At the top of the page, there is the word **Untitled**. This is the title for the page and the name of your Notebook. \n",
    "- To change the name of your notebook, move your mouse over the word **Untitled** and click on the text. \n",
    "- You should now see an in-browser dialog titled Rename Notebook. \n",
    "- Rename it to Hello Jupyter"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Cell Modes in Jupyter Notebook\n",
    "-  Cells in Jupyter Notebook have two modes\n",
    "    - **Edit** Mode\n",
    "        - If the cell has a green border, that means you’re in **Edit** mode. \n",
    "        - Edit mode is for all the actions you would usually perform in the context of a single cell. \n",
    "        - For example, editing and typing your code and text. \n",
    "    - **Command** Mode\n",
    "        - If the cell has a blue border, then you’re in **Command** mode.\n",
    "        - Command mode is for doing things outside the scope of any individual cell, often applying actions to multiple cells at once. \n",
    "        - For example, you can select multiple cells, copy them, and paste them, or delete them if you like.\n",
    "- One can get into **Edit** mode by pressing the \\< Enter \\> button or by double clicking on the cell. Pressing the **Esc**ape button will exit the **Edit** mode to become in **Command** mode."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Cell Types\n",
    "- **Code** Cells\n",
    "    - *Contents* in this cell are treated as statements in a programming language of the current kernel, in our case Python 3. \n",
    "    - When such cell is run, its result is displayed in an output cell. \n",
    "    - The output may be text, image, matplotlib plots or HTML tables.\n",
    "- **Markdown** Cells\n",
    "    - These cells contain text formatted using markdown language. \n",
    "    - All kinds of formatting features are available like \n",
    "        - making text bold (putting words between two \\*\\*)\n",
    "        - making text italic (putting words between two \\*)\n",
    "        - displaying a heading (starting the line with a \\# followed by a blank)\n",
    "        - displaying a subheading (starting the line with a \\#\\# followed by a blank)\n",
    "        - displaying a subsubheading (starting the line with a \\#\\#\\# followed by a blank)\n",
    "        - displaying unordered list (starting the line with a hyphen \\- followed by a blank)\n",
    "        - ... etc.\n",
    "    - Markdown cells are especially useful to provide documentation to the computational process of the notebook.\n",
    "    - For more information on Markdown, visit https://guides.github.com/features/mastering-markdown/\n",
    "- **Raw** Cells\n",
    "    - Contents in raw cells are not evaluated by notebook kernel, that is why it is better to use Markdown."
   ]
  },
  {
   "attachments": {
    "CellType.PNG": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Changing Cell Types\n",
    "- Changing the type of a cell can be accomplished through the tool bar at the top of the notebook, choosing the desired cell type from the drop-down menu.  \n",
    "![CellType.PNG](attachment:CellType.PNG)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "- Alternatively, while in a cell in **command** mode,\n",
    "    - pressing the letter **y** will make the cell of type Code.\n",
    "    - pressing the letter **m** will make the cell of type Markdown.\n",
    "- Note that new cells are of type **Code**, by default, when they are created."
   ]
  },
  {
   "attachments": {
    "RISE.PNG": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Displaying Jupyter Notebook as a  Presentation\n",
    "- If you press the bar chart button, circled below, the notebook will be displayed as presentation. \n",
    "![RISE.PNG](attachment:RISE.PNG)\n"
   ]
  },
  {
   "attachments": {
    "outRISE.PNG": {
     "image/png": 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h/fp2mMXtj+II5YCJ05F3jIX5XERwRO/Q0FB5+umn5/9o73jxDwviFwAAoCfq4zcsWdKOszgNegDu/Vsnbj+0a9eucsstt7TuxVsXt5Nt1apVZfv27WXfvn2dj9ZjVfwO0NW1AQAAspo8fsN557UDbdGizgOD6/jx4+XFF19svV5369at5bbbbmsd0b322mtbrxWO3999993lV7/61fxdwXk6qviN+ysDAAAwr6aO3/G3P4rXqDJ37rhD/AIAAPTI1PEbBvT2R403PCx+AQAAeuTM8Tv+6O8AXvyqsar4Xbas8wAAAADz5czxG+Kev0JtblXxO2D3UwYAAMiou/h9/vn2vX/jCHAcCWb2xC8AAEDPdBe/IV6bGrEWrwFm9tata38/457KAAAAzKvu43f37pNHfwf0vr+NsnhxO363bes8AAAAwHzpPn5DvOY3gi0COE7bZebOP7/9vXzkkc4DAAAAzJfpxW+83jdueRTRFnvLW0TwTMT3MY6ix7yGGgAAYN5NL34rO3acPHJZHQmOo8JuhdSdONU5vm/xPQQAAGDezSx+K3HK7qJFJyM4dt55pWzZ0nkHThOvl44j5vG98npfAACAnphd/FbiVkhx9eIq6mJxNDgu6iTwTlVdNTv+0QAAAICemJv4HS9id/wp0bGzzmpHXxwRXsivcb3jjvb3I/5hIP7BAAAAgJ6Y+/itxOm9cTGsiSEcF3mKo54L7dToiN2I3vgeOC0cAACgp+YvfseLo70RfBG9Eb91IZz9iHC8Fjq+5jgCDgAAQE/1Jn7HmyyEY299a/u1ww880HnnJKr7I8drouOIOAAAAD3V+/gdb3wIV6cEV6sumBW3VWqi6rTvs89ufz3xuue4OjYAAAA919/4nSjicGjo5CnCTQzhuODXxKPa554rfAEAAPporMwGVHXkNMJxfAhXV46OyByU1wlH2Eacjz96Xb2eualHrgEAABIZq7QGiCslr19/egjH4nXC8ZrauI1QL24fFH9GBG18PhG3EePjP584ah3R7rW9AAAAA2Os1hqmOiJc9zrhanFhqQjlWByRXbmyfhGwEbLVIqAnvk/1cc45p/7PiiO8Ebzxsdy7FwAAYCCN1VvD7d598ihsROpkQTxXiyPN8WdFGDulGQAAoBHGai6piOLqiO7Eo7ndLo4wVx/DacwAAACNlTd+AQAAoEP8AgAAkJ74BQAAID3xCwAAQHriFwAAgPTELwAAAOmJXwAAANITvwAAAKQnfgEAAEhP/AIAAJCe+AUAACA98QsAAEB64hcAAID0xC8AAADpiV8AAADSE78AAACkJ34BAABIT/wCAACQnvgFAAAgPfELAABAeuIXAACA9MQvAAAA6YlfAAAA0hO/AAAApCd+AQAASE/8AgAAkJ74BQAAID3xCwAAQHriFwAAgPTELwAAAOmJXwAAANITvwAAAKQnfgEAAEhP/AIAAJCe+AUAACA98QsAAEB64hcAAID0xC8AAADpiV8AAADSE78AAACkJ34BAABIT/wCAACQnvgFAAAgPfELAABAeuIXAACA9MQvAAAA6YlfAAAA0hO/AAAApCd+AQAASE/8AgAAkJ74BQAAID3xCwAAQHriFwAAgPTELwAAAOmJXwAAANITvwAAAKQnfgEAAEhP/AIAAJCe+AUAACA98QsAAEB64hcAAID0xC8AAADpiV8AAADSE78AAACkJ34BAABIT/wCAACQnvgFAAAgPfELAABAeuIXAACA9MQvAAAA6YlfAAAA0hO/AAAApCd+AQAASE/8AgAAkJ74BQAAID3xCwAAQHriFwAAgPTELwAAAOmJXwAAANITvwAAAKQnfgEAAEhP/AIAAJCe+AUAACA98QsAAEB64hcAAID0xC8AAADpiV8AAADSE78AAACkJ34BAABIT/wCAACQnvgFAAAgPfELAABAeuIXAACA9MQvAAAA6YlfAAAA0hO/AAAApCd+AQAASE/8AgAAkJ74BQAAID3xCwAAQHriFwAAgPTELwAAAOmJXwAAANITvwAAAKQnfgEAAEhP/AIAAJCe+AUAACA98QsAAEB64hcAAID0xC8AAADpiV8AAADSE78AAACkJ34BAABIT/wCAACQnvgFAAAgPfELAABAeuIXAACA9MQvAAAA6YlfAAAA0hO/AAAApCd+AQAASE/8AgAAkJ74BQAAID3xCwAAQHriFwAAgPTELwAAAOmJXwAAANITvwAAAKQnfgEAAEhP/AIAAJCe+AUAACA98QsAAEB64hcAAID0xC8AAADpiV8AAADSE78AAACkJ34BAABIT/wCAACQnvgFAAAgPfELAABAeuIXAACA9MQvAAAA6YlfAAAA0hO/AAAApCd+AQAASE/8AgAAkJ74BQAAID3xCwAAQHriFwAAgPTELwAAAOmJXwAAANITvwAAAKQnfgEAAEhP/AIAAJCe+AUAACA98QsAAEB64hcAAID0xC8AAADpiV8AAADSE78AAACkJ34BAABIT/wCAACQnvgFAAAgPfELAABAeuIXAACA9MQvAAAA6YlfAAAA0hO/AAAApCd+AQAASE/8AgAAkJ74BQAAID3xCwAAQHriFwAAgPTELwAAAOmJXwAAANITvwAAAKQnfgEAAEhP/AIAAJCe+AUAACA98QsAAEB64hcAAID0xC8AAADpiV8AAADSE78AAACkJ34BAABIT/wCAACQnvgFAAAgPfELAABAeuIXAACA9MQvAAAA6YlfAAAA0hO/AAAApCd+AQAASE/8AgAAkJ74BQAAID3xCwAAQHriFwAAgPTELwAAAOmJXwAAANITvwAAAKQnfgEAAEhP/AIAAJCe+AUAACA98QsAAEB64hcAAID0xC8AAADpiV8AAADSE78AAACkJ34BAABIT/wCAACQnvgFAAAgPfELAABAeuIXAACA9MQvAAAA6YlfAAAA0hO/AAAApCd+p/AfNx86bd/+9rfNzMzMzMysy23fvr3s2bOnU1n9I36nUBe/AAAAdG/fvn2tAO438TsF8QsAADB7cQS438TvFMQvAADA7InfASd+AQAAZk/8DjjxCwAAMHvid8CJX3rh8ccfL4888oiZmZmZWeMXP9vWEb8DTvzSC/GXxOjoqJmZmZlZ4xc/29YRvwNO/NIL4tfMzMzMskz8NpT4pRfEr5mZmZllmfhtKPFLL4hfMzMzM8sy8dtQ4pdeEL9mZmZmlmXit6HEL70gfs3MzMwsy8RvQ4lfekH8mpmZmVmWid+GEr/0gvg1MzMzsywTvw0lfukF8WtmZmZmWSZ+G0r80gvi18zMzMyyTPw2lPilF8SvmZmZmWWZ+G0o8UsviF8zMzMzyzLx21Dil14Qv2ZmZmaWZeK3ocTvYHt1/2j5H4tvL+f80fDv94UvP9x568zFxxj/Md/9oW+Xp5/Z33nr3BO/ZmZmZpZl4rehxO/p6oJz/OYiPrslfs3MzMzMBmvit6HE7+kGMX63/d3jnUfmXnxs8WtmZmZm1t3Eb0OJ36lV8dnL4B1P/JqZmZmZDdbEb0OJ36mdKX4jGCMcf3Dnk+X/7X6pXLT0rvJv3/m35bwPbm09duzY8c57zsygxO/o6Btl1f/6h/KBC7aVp/a82nm0e+LXzMzMzLJM/DaU+J1at/Eb7/P2924+5fToiOB/ePC3nfecmUGJ3+rrjK9rw3D9/9mnIn7NzMzMLMvEb0OJ36l1G78RhZdc8aPym+cOlOPHT5T7HvhNedu7v1FuvOVn5cSJzjvPwKAd+X3fh79bfvnEvs6j3RO/ZmZmZpZl4rehxO/Uuo3fj/7VHeWllw93Hj35vL9efe/Y/0He6Dw6fYMSv7Mlfs3MzMwsy8RvQ4nfqXUbvxPfLn5PJX7NzMzMLMvEb0OJ36mJ37khfs3MzMwsy8RvQ4nfqYnfuSF+zczMzCzLxG9Did+pid+2+Brc6sjMzMzMTPw2lvg9XRWc429bNH7jQ3ehxG/1dcbX71ZHZmZmZraQJ34bSvyeTvyerjry61ZHZmZmZrbQJ34bSvwOtkGJ39kSv2ZmZmaWZeK3ocTvYBO/ZmZmZmaDNfHbUOJ3sNWdgj3xFOuZiI8x/mOKXzMzMzOz7iZ+G0r8Djbxa2ZmZmY2WBO/DSV+6QXxa2ZmZmZZJn4bSvzSC+LXzMzMzLJM/DaU+KUXxK+ZmZmZZZn4bSjxSy+IXzMzMzPLMvHbUOKXXhC/ZmZmZpZl4rehxC+9IH7NzMzMLMvEb0OJX3pB/JqZmZlZlonfhhK/9IL4NTMzM7MsE78NJX7pBfFrZmZmZlkmfhtK/NIL4tfMzMzMskz8NpT4pRfEr5mZmZllmfhtKPFLL4hfMzMzM8sy8dtQ4pdeEL9mZmZmlmXit6HEL73w9NNPl3379tX+5WFmZmZm1pTFz7RPPvlk56fcU4nfASd+6YWRkZHy1FNPtf6VzMzMzMysqYuDOvGzbR3xO+DELwAAwOyJ3wEnfgEAAGZP/A448QsAADB74nfAiV8AAIDZE78DTvwCAADMTlwFevv27Z3f9Y/4nUJd/Ma/WJiZmZmZmVl3i/Dds2dPp7L6R/wCAACQnvgFAAAgPfELAABAeuIXAACA9MQvAAAA6YlfAAAA0hO/AAAApCd+AQAASE/8AgAAkJ74BQAAID3xCwAAQHriFwAAgPTELwAAAOmJXwAAANITvwAAAKQnfgEAAEhP/AIAAJCe+AUAACA98QsAAEB64hcAAID0xC8AAADpiV8AAADSE78AAACkJ34BAABIT/wCAACQnvgFAAAgPfELAABAeuIXAACA9MQvAAAA6YlfAAAA0hO/AAAApCd+AQAASE/8AgAAkJ74BQAAID3xCwAAQHriFwAAgPTELwAAAOmJXwAAANITvwAAAKQnfgEAAEhP/AIAAJCe+AUAACA98QsAAEB64hcAAID0xC8AAADpiV8AAADSE78AAACkJ34BAABIT/wCAACQnvgFAAAgPfELAABAeuIXAACA9MQvAAAA6YlfAAAA0hO/AAAApCd+AQAASE/8AgAAkJ74BQAAID3xCwAAQHriFwAAgPTELwAAAOmJXwAAANITvwAAAKQnfgEAAEhP/AIAAJCe+AUAACA98QsAAEB64hcAAID0xC8AAADpiV8AAADSE78AAACkJ34BAABIT/wCAACQnvgFAAAgPfELAABAeuIXAACA9MQvAAAA6YlfAAAA0hO/AAAApCd+AQAASE/8AgAAkJ74BQAAID3xCwAAQHriFwAAgPTELwAAAOmJXwAAANITvwAAAKQnfgEAAEhP/AIAAJCe+AUAACA98QsAAEB64hcAAID0xC8AAADpiV8AAADSE78AAACkJ34BAABIT/wCAACQnvgFAAAgPfELAABAeuIXAACA9MQvAAAA6YlfAAAA0hO/AAAApCd+AQAASE/8AgAAkJ74BQAAID3xCwAAQHriFwAAgPTELwAAAOmJXwAAANITvwAAAKQnfgEAAEhP/AIAAJCe+AUAACA98QsAAEB64hcAAID0xC8AAADpiV8AAADSE78AAACkJ34BAABIT/wCAACQnvgFAAAgPfELAABAeuIXAACA9MQvAAAA6YlfAAAA0hO/AAAApCd+AQAASE/8AgAAkJ74BQAAID3xCwAAQHriFwAAgPTELwAAAOmJXwAAANITvwAAAKQnfgEAAEhP/AIAAJCe+AUAACA98QsAAEB64hcAAID0xC8AAADpiV8AAADSE78AAACkJ34BAABIT/wCAACQnvgFAAAgPfELAABAeuIXAACA9MQvAAAA6YlfAAAA0hO/AAAApCd+AQAASE/8AgAAkJ74BQAAID3xCwAAQHriFwAAgPTELwAAAOmJXwAAANITvwAAAKQnfgEAAEhP/AIAAJCe+AUAACA98QsAAEB64hcAAID0xC8AAADpiV8AAADSE78AAACkJ34BAABIT/wCAACQnvgFAAAgPfELAABAeuIXAACA9MQvAAAA6YlfAAAA0hO/AAAApCd+AQAASE/8AgAAkJ74BQAAID3xCwAAQHriFwAAgPTELwAAAOmJXwAAANITvwAAAKQnfgEAAEhP/AIAAJCe+AUAACA98QsAAEB64hcAAID0xC8AAADpiV8AAADSE78AAACkJ34BAABIT/wCAACQnvgFAAAgPfELAABAeuIXAACA9MQvAAAA6YlfAAAA0hO/AAAApCd+AQAASE/8AgAAkJ74BQAAID3xCwAAQHriFwAAgPTELwAAAOmJXwAAANITvwAAAKQnfgEAAEhP/AIAAJCe+AUAACA98QsAAEB64hcAAID0xC8AAADpiV8AAADSE78AAACkJ34BAABIT/wCAACQnvgFAAAgPfELAABAeuIXAACA9MQvAAAA6YlfAAAA0hO/AAAApCd+AQAASE/8AgAAkJ74BQAAID3xCwAAQHriFwAAgPTELwAAAOmJXwAAANITvwAAAKQnfgEAAEhP/AIAAJCe+AUAACA98QsAAEB64hcAAID0xC8AAADpiV8AAADSE78AAACkJ34BAABIT/wCAACQnvgFAAAgPfELAABAeuIXAACA9MQvAAAA6YlfAAAA0hO/AAAApCd+AQAASE/8AgAAkJ74BQAAID3xCwAAQHriFwAAgPTELwAAAOmJXwAAANITvwAAAKQnfgEAAEhP/AIAAJCe+AUAACA98QsAAEB64hcAAID0xC8AAADpiV8AAADSE78AAACkJ34BAABIT/wCAACQnvgFAAAgPfELAABAeuIXAACA9MQvAAAA6YlfAAAA0hO/AAAApCd+AQAASE/8AgAAkJ74BQAAID3xCwAAQHriFwAAgPTELwAAAOmJXwAAANITvwAAAKQnfgEAAEhP/AIAAJCe+AUAACA98QsAAEB64hcAAID0xC8AAADpiV8AAADSE78AAACkJ34BAABIT/wCAACQnvgFAAAgPfELAABAeuIXAACA9MQvAAAA6YlfAAAA0hO/AAAApCd+AQAASE/8AgAAkJ74BQAAID3xCwAAQHriFwAAgPTELwAAAOmJXwAAANITvwAAAKQnfgEAAEhP/AIAAJBe2vg9fPhw2b9/fzl48GA5ceJE51EAAAAWohTxe+zYsfLYY4+V4eHhsmLFinLppZeesssuu6ysXr26bNu2rbzwwgtiGAAAYIFpdPweOXKk3H333WX58uWnBe9Uu+GGG8rjjz8uggEAABaIxsbvnj17ypo1a2rjtpvF0eBbb721jIyMdD4iAAAAWTUufuNo7f33318uv/zy2qid7q699tqyd+/ezkcHAAAgo0bFb4Tvjh075ix8qwlgAACA3BoVvzt37pzz8K128803t64QDQAAQD6Nid+XX365rF27tjZc52p33nmni2ABAAAk1Ij4jVsZbd68uTZY53KrVq0qL730UudPBQAAIItGxO/rr7/eOi25LlgnbuXKla37+f785z9v7d577y3XX3997fvW7b777uv8qQAAAGTRmNOeX3nllSkDOG5dtGXLlta9fyeazhWiN27c2DrSDAAAQB6NuuBVhO33vve9snTp0tOi9bbbbpsyWiOAt2/fftrzJu6mm24qo6OjnWcBAABQ2bRpU7nrrrs6v2uWRsVviIh99NFHy5VXXvn7YO32Ss27du06JXTrtnr16rJ///7OMwAAAAgRvtFM4rfH4urPn//851uv543/7kbcI3hi7E6cI78AAAAnRR9FJ0X8OvLbAN3eKslrfgEAAOqJ3wEWp0n/8pe/LGvWrKmN3YlztWcAAIB64ndA7d27twwNDbWuBF0XuhPnPr8AAACTE78DZqqrQk+1O++8s3WkGAAAgNOJ3wESV32O1+3Wxe1Ui+d0c8VoAACAhUr8Doi4UFXc77cubidbnBK9ZcuW1tFiAAAAJid+B8Q999zT9et7Y3Gv4IceeqgcP3688xEAAADIKE38xoWq4oJVdZE7cfFa4K1bt7qfLwAAwAKRJn537drV1VHf5cuXl0cffbTzLAAAABaCNPEb553Xxe74RRzHqdEAAAAsLAsqfm+88cYyMjLSeQYAAAALRZr4jSO6dcE7fps3b+68NwAAAAtJmvh94YUXytDQULnmmmtqd91115Vnnnmm894AAAAsJGniFwAAACaTJn7jXr0HDhwo+/fvr91rr71Wjh071nlvAAAAFpI08fvTn/70jLc6+vrXv15OnDjReQYAAAALRZr47eZqzzfddFMZHR3tPAMAAICFQvwCAACQnvgFAAAgPfELAABAeuIXAACA9MQvAAAA6YlfAAAA0ksTv7t27SrLli2rjd7Y0qVLy49//OPOewMAALCQpIlfAAAAmIz4BQAAID3xCwAAQHriFwAAgPTELwAAAOmJXwAAANITvwAAAKQnfgEAAEhP/AIAAJCe+AUAACA98QsAAEB64hcAAID0xC8AAADpiV8AAADSE78AAACkJ34BAABIT/wCAACQnvgFAAAgPfELAABAeuIXAACA9MQvAAAA6YlfAAAA0hO/AAAApCd+AQAASK6U/w8Z3A8I8aiDcgAAAABJRU5ErkJggg=="
    }
   },
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "- If you want to go outside the presentation mode, you can press the **X** at the upper left of the presentation.\n",
    "![outRISE.PNG](attachment:outRISE.PNG)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Handling Code Cells\n",
    "- In order to run a cell containing code, press \\< Shift \\>\\+\\< Enter \\> buttons simultaneously.\n",
    "- In order to clear the output, go to **Cell** at the tool bar, then choose **Current Outputs**, then choose **Clear**.\n",
    "- In order to save the contents of a cell in a file called **filename.py**, \n",
    "    - add the following line as the first line in the cell (before all your code)  \n",
    "     %%writefile filename.py\n",
    "    - Now, if you press \\< Shift \\>\\+\\< Enter \\> buttons simultaneously, it will save the contents of the cell, instead of compiling and running the code in the cell.\n",
    "- For example, go ahead and save the contents of the following cell in a file called `myFirstProgram.py`.\n",
    "    - Note that if you want to run the code, you can simply comment the first line (or remove it)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "#%%writefile myFirstProgram.py\n",
    "a = 1\n",
    "b = 3\n",
    "print(a+b)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Some Common Practices and Notes\n",
    "When writing python statements, one can \n",
    "- write each statement in a single line as follows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "# Statements at different lines\n",
    "a = 1\n",
    "b = 2\n",
    "a + b\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "- write multiple statements separated by semi colon(s) in one line as follows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "# Statements on the same line\n",
    "a = 10; b = 20; a * b"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "- use another cell for computing the results (make sure you note the last cell that was executed)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "notes"
    }
   },
   "source": [
    "- <font  color= 'red'> It is good to execute a far away cell and then execute the last cell, to show that the order to execution is the most important factor, not the physical location in the jupyter notebook. </font>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "15"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a = 12\n",
    "b = 3\n",
    "a+b"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a - b"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "- determine the type of a variable (we will know about variables later)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "12\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "int"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(a)\n",
    "type(a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4.0\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "float"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c = a / b\n",
    "print(c)\n",
    "type (c)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'int'>\n",
      "<class 'int'>\n",
      "3.0\n",
      "3\n",
      "4.166666666666667\n"
     ]
    }
   ],
   "source": [
    "print(type(12))\n",
    "print(type(3))\n",
    "print(12/4)\n",
    "print(12//4)\n",
    "print(12.5/3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Task 1: Playing with Markdown\n",
    "- Copy the contents of the text file `MarkDownExample.txt` into a Markdown cell. Note the different colors for different types of lines.\n",
    "- Press the \\< Shift \\>\\+\\< Enter \\> buttons simultaneously, you should now see it rendered, based on the line type.\n",
    "- Double click on the cell to go back to Markdown text.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
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    "# Task 2: From Celsius to Fahrenheit\n",
    "Assign a value to a temperature in Celsius, and find and display its equivalent temperature in Fahrenheit according to the formula: $$Fahrenheit=32+\\frac{9}{5}*Celsius$$\n"
   ]
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    "#%%writefile Lab01Task2.py\n",
    "## Uncomment the above line after you finish your code and want to save it in a file.\n",
    "\n",
    "# Setting the Celsius value first\n",
    "Celsius = 100\n",
    "\n",
    "# Write your code below this line\n"
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    "# Task 3: Finding the Area and Circumference of a Circle\n",
    "Assign a value to a radius of a circle, then find and display its area and circumference using the following formulas\n",
    "$$Area=pi*radius*radius$$ $$circumference=2*pi*radius$$\n",
    "where $$pi = 3.14159$$\n"
   ]
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    "#%%writefile Lab01Task3.py\n",
    "## Uncomment the above line after you finish your code and want to save it in a file.\n",
    "\n",
    "# Defining the constant PI\n",
    "PI = 3.14159\n",
    "\n",
    "# Setting the value of the radius\n",
    "radius = 10.3\n",
    "\n",
    "# Write your code below this line\n"
   ]
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