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    "# Pay no attention to this cell\n",
    "# All will be revealed in due time.\n",
    "import pandas as pd\n",
    "import os\n",
    "from pathlib import Path\n",
    "from IPython.display import Image\n",
    "syllabus=pd.read_csv('Datasets/syllabus_2020.csv',header=0)\n",
    "syllabus=syllabus.fillna(\"\")\n",
    "syllabus.index = range(1,len(syllabus)+1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Python Programming for  Earth Science Students\n",
    "\n",
    "Authors: Lisa Tauxe,  ltauxe@ucsd.edu, Hanna Asefaw, hasefaw@ucsd.edu, & Brendan Cych, bcych@ucsd.edu\n",
    "Instructor: Lisa Tauxe, ltauxe@ucsd.edu\n",
    "TAs: Brendan Cych, bcych@ucsd.edu, Shelby Jones, saj012@ucsd.edu\n",
    "\n",
    "\n",
    "\n",
    "### Computers in Earth Science\n",
    "\n",
    "Computers are essential to all modern Earth Science research.  We use them for compiling and analyzing data, preparing illustrations like maps or data plots, writing  manuscripts, and so on.  In this class, you will learn to write computer programs with special applications useful to Earth Scientists.  We will learn Python, an object-oriented programming language, and use Jupyter notebooks to write our Python programs.\n",
    "\n",
    "### Python\n",
    "\n",
    "So, why learn Python?  Because it is:\n",
    "\n",
    "- Flexible, freely available, cross platform\n",
    "- Easier to learn than many other languages\n",
    "- It has many numerical, statistical and visualization packages\n",
    "- It is well supported and has lots of online documentation\n",
    "- The name 'Python' refers to 'Monty Python' - not the snake - and many examples in the Python documentation use jokes from the old Monty Python skits.  If you have never heard of Monty Python, look it up on youtube; you are in for a treat. \n",
    "\n",
    "Which Python?  \n",
    "- Python underwent a transition from 2.7 to 3.  The notebooks in this class, apart from a few exceptions, are compatible with both but they have only been tested on Python 3, so that is what you should be using.   \n",
    "- If you decide to use a personal computer, we recommend that you install the most recent version of Anaconda python for your operating system: \n",
    "https://www.anaconda.com/download/\n",
    "you will also need a few extra packages (cartopy, version 0.17.0 geopandas, version 0.7.0 and descartes, version 1.1.0) which can be installed with little hassle.  \n",
    "\n"
   ]
  },
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   "outputs": [
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       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Topic</th>\n",
       "      <th>Date</th>\n",
       "      <th>Assignment</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Intro to notebooks, file systems and paths</td>\n",
       "      <td>30-Mar</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Variables and Operations</td>\n",
       "      <td>1-Apr</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Data structures</td>\n",
       "      <td>3-Apr</td>\n",
       "      <td>#1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Dictionaries, program loops (if, while and for)</td>\n",
       "      <td>6-Apr</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>functions and modules</td>\n",
       "      <td>8-Apr</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>NumPy and matplotlib</td>\n",
       "      <td>10-Apr</td>\n",
       "      <td>#2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>NumPy arrays</td>\n",
       "      <td>13-Apr</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Pandas, file I/O</td>\n",
       "      <td>15-Apr</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>data wrangling with Pandas</td>\n",
       "      <td>17-Apr</td>\n",
       "      <td>#3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>object oriented programming</td>\n",
       "      <td>20-Apr</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>lambda, map, filter reduce, list comprehension</td>\n",
       "      <td>22-Apr</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Pandas filtering and exceptions</td>\n",
       "      <td>24-Apr</td>\n",
       "      <td>#4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>subplots, bar charts pie charts</td>\n",
       "      <td>27-Apr</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>histograms and cumulative distribution functions</td>\n",
       "      <td>29-Apr</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>statistics 101</td>\n",
       "      <td>1-May</td>\n",
       "      <td>#5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>line and curve fitting</td>\n",
       "      <td>4-May</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>visualization with seaborn</td>\n",
       "      <td>6-May</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>maps</td>\n",
       "      <td>8-May</td>\n",
       "      <td>Project Proposal AND  #6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>gridding and contouring</td>\n",
       "      <td>11-May</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>geopandas</td>\n",
       "      <td>13-May</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>rose diagrams and equal area projections</td>\n",
       "      <td>15-May</td>\n",
       "      <td>#7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>matrix math - dot and cross products</td>\n",
       "      <td>18-May</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>plotting great and small circles</td>\n",
       "      <td>20-May</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Machine Learning- Clustering</td>\n",
       "      <td>22-May</td>\n",
       "      <td>#8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Memorial Day</td>\n",
       "      <td>25-May</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Machine Learning- Classification, PCA</td>\n",
       "      <td>27-May</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>3D plots of points and surfaces</td>\n",
       "      <td>29-May</td>\n",
       "      <td>#9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Time series  - periodograms</td>\n",
       "      <td>6/1/20</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Animations</td>\n",
       "      <td>6/3/20</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td></td>\n",
       "      <td>6/5/20</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Final Presentations</td>\n",
       "      <td>6/11/20</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               Topic     Date  \\\n",
       "1         Intro to notebooks, file systems and paths   30-Mar   \n",
       "2                           Variables and Operations    1-Apr   \n",
       "3                                   Data structures     3-Apr   \n",
       "4    Dictionaries, program loops (if, while and for)    6-Apr   \n",
       "5                              functions and modules    8-Apr   \n",
       "6                              NumPy and matplotlib    10-Apr   \n",
       "7                                       NumPy arrays   13-Apr   \n",
       "8                                  Pandas, file I/O    15-Apr   \n",
       "9                         data wrangling with Pandas   17-Apr   \n",
       "10                       object oriented programming   20-Apr   \n",
       "11    lambda, map, filter reduce, list comprehension   22-Apr   \n",
       "12                   Pandas filtering and exceptions   24-Apr   \n",
       "13                   subplots, bar charts pie charts   27-Apr   \n",
       "14  histograms and cumulative distribution functions   29-Apr   \n",
       "15                                    statistics 101    1-May   \n",
       "16                          line and curve fitting      4-May   \n",
       "17                        visualization with seaborn    6-May   \n",
       "18                                              maps    8-May   \n",
       "19                          gridding and contouring    11-May   \n",
       "20                                         geopandas   13-May   \n",
       "21          rose diagrams and equal area projections   15-May   \n",
       "22              matrix math - dot and cross products   18-May   \n",
       "23                  plotting great and small circles   20-May   \n",
       "24                      Machine Learning- Clustering   22-May   \n",
       "25                                      Memorial Day   25-May   \n",
       "26             Machine Learning- Classification, PCA   27-May   \n",
       "27                   3D plots of points and surfaces   29-May   \n",
       "28                       Time series  - periodograms   6/1/20   \n",
       "29                                        Animations   6/3/20   \n",
       "30                                                     6/5/20   \n",
       "31                               Final Presentations  6/11/20   \n",
       "\n",
       "                   Assignment  \n",
       "1                              \n",
       "2                              \n",
       "3                          #1  \n",
       "4                              \n",
       "5                              \n",
       "6                          #2  \n",
       "7                              \n",
       "8                              \n",
       "9                          #3  \n",
       "10                             \n",
       "11                             \n",
       "12                         #4  \n",
       "13                             \n",
       "14                             \n",
       "15                         #5  \n",
       "16                             \n",
       "17                             \n",
       "18  Project Proposal AND  #6   \n",
       "19                             \n",
       "20                             \n",
       "21                         #7  \n",
       "22                             \n",
       "23                             \n",
       "24                         #8  \n",
       "25                             \n",
       "26                             \n",
       "27                         #9  \n",
       "28                             \n",
       "29                             \n",
       "30                             \n",
       "31                             "
      ]
     },
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    }
   ],
   "source": [
    "syllabus[['Topic','Date','Assignment']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "## Lecture 1\n",
    "\n",
    "Now we get down to business.  In this lecture we will:\n",
    "\n",
    "- Learn to find your command line interface.\n",
    "- Learn how to launch a Jupyter notebook from the command line interface\n",
    "- Learn basic notebook anatomy.\n",
    "- Learn some basic python operating system commands \n",
    "- Learn about the concept of **PATH**\n",
    "- Turn in your first practice problem notebook.  \n",
    "\n",
    "### Jupyter notebooks and Jupyter Hub\n",
    "\n",
    "This class is entirely structured around a special programming environment called [Jupyter notebooks](https://jupyter-notebook-beginner-guide.readthedocs.io/en/latest/what_is_jupyter.html). A Jupyter notebook is a development environment where you can write, debug, and execute your programs.  \n",
    "\n",
    "If you are taking this class through UCSD, you will be using the Jupyter Hub site. When working on practice problems, rename the practice problem notebooks by going to File > Rename. Once finished, save and go to File > Download As > Notebook (.ipynb) and upload this notebook to canvas. If you don't want to install Python on your computer, skip to the 'Jupyter Notebook Anatomy' section\n",
    "\n",
    "Alternatively, you can install Anaconda Python on your machine (see below) and work on the lectures. If you want to be able to open and use notebooks after the class is over, you should do this. \n",
    "\n",
    "If you are using the version cloned from github you already have everything. Some of the lectures might be updated in the future though, so the version you have may not be final."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### OPTIONAL: Installing Anaconda Python and Opening Jupyter Notebooks\n",
    "\n",
    "To install Anaconda Python, go to https://anaconda.org/ and follow the install instructions for your operating system. \n",
    "To do this, you will need to discover the hidden secret of your computer, the _Terminal window_.  This little window provides a _command line interface_ in which you can type commands to the operating system. You  can  find the terminal window through the program **Terminal** on a Mac  by typing terminal.app into the search icon and double clicking on it. On Windows, use the start menu to search for the program 'Anaconda Prompt'. On Linux, press Ctrl+Alt+T to open the terminal."
   ]
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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image(filename='Figures/terminal_mac.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's open a terminal window and launch jupyter notebook. On PC, Mac or Linux, you can do this by typing \n",
    "\n",
    "`jupyter notebook` and hitting return"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-26T23:01:40.532307Z",
     "start_time": "2020-03-26T23:01:40.518783Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 4,
     "metadata": {
      "image/png": {
       "width": 500
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image(filename='Figures/terminal.png',width=500)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "When you fire up a terminal window, you are by default in your **home** directory (in MacOS UNIX,  that would be **/Users/YOURUSERNAME**). \n",
    "\n",
    "To launch a Jupyter notebook,  simply type jupyter notebook as shown above.  That will open up a Browser window.  Find your class folder and click on Lecture_01.ipynb.  You should now be looking at this notebook! "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Make a copy of the lecture\n",
    "\n",
    "You should not modify this lecture, or if you do it is quite likely that it will be over-written if you update your directory with a new version.  To do that, open the File menu at the top of this page: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 15,
     "metadata": {
      "image/png": {
       "width": 600
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image(filename='Figures/copy.png',width=600)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Choose 'Make a Copy'.  This will protect the original and you can goof around with this one all you like.  But first, you need to know a few things about jupyter notebooks. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Jupyter notebook anatomy\n",
    "\n",
    "Jupyter notebooks have two basic _cells_:\n",
    "\n",
    "- Markdown: for typesetting notes. This cell is an example of a markdown cell.  Here is a \"cheatsheet\" for markdown typesetting: https://medium.com/ibm-data-science-experience/markdown-for-jupyter-notebooks-cheatsheet-386c05aeebed if you are hungry for more. \n",
    "\n",
    "- Code: for writing python code\n",
    "\n",
    "You can insert a new cell by selecting Insert Cell Below in the drop-down menu:  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-26T23:01:41.918766Z",
     "start_time": "2020-03-26T23:01:41.898941Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 16,
     "metadata": {
      "image/png": {
       "width": 600
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image(filename='Figures/insertCell.png',width=600)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Cell types default to 'Code' but you change the cell type to \"Markdown\" with the box labeled 'Markdown\" on the menu bar.  Click on the little downward arrow to change this cell to Code. Be sure to change it back!  \n",
    "\n",
    "You \"execute\" a cell (either _typeset_ or _run_ the code)  by  clicking  on the run key (sideways triangle with vertical line) or select Run Cells under the _Cell_ drop-down menu.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-26T23:01:42.861087Z",
     "start_time": "2020-03-26T23:01:42.851141Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 17,
     "metadata": {
      "image/png": {
       "width": 600
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image(filename='Figures/menuBar.png',width=600)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In a code block, you can only type valid python statements EXCEPT\n",
    "after a pound sign (#) - everything after that will be ignored.  \n",
    "That is how you write \"comments\" in your code to remind yourself or tell others what you were thinking:  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-26T23:01:43.796093Z",
     "start_time": "2020-03-26T23:01:43.788363Z"
    }
   },
   "outputs": [
    {
     "ename": "SyntaxError",
     "evalue": "invalid syntax (<ipython-input-7-bee698e92c8a>, line 2)",
     "output_type": "error",
     "traceback": [
      "\u001b[0;36m  File \u001b[0;32m\"<ipython-input-7-bee698e92c8a>\"\u001b[0;36m, line \u001b[0;32m2\u001b[0m\n\u001b[0;31m    but not here\u001b[0m\n\u001b[0m               ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n"
     ]
    }
   ],
   "source": [
    "# I can type anything here\n",
    "but not here"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "That was an example of a _bug_ which oculd be fixed by commenting out the second line, or making it a valid statement:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "but not here\n"
     ]
    }
   ],
   "source": [
    "# I can type anything here\n",
    "# but not here\n",
    "print (\"but not here\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "### Practice Problems\n",
    "\n",
    "Now open the notebook called Lecture_01_Practice_Problems. To open it, click on \"File\" and select \"Open\", then if file called Lecture_01_Practice_Problems.ipynb is visible, just click on it.  But you are using the datahub or github versions of the class (most of you), all the Practice Problems are in a folder called \"Practice\\_Problems\".  Click on that icon, then open the Lecture_01_Practice_Problems notebook.  \n",
    "\n",
    "Complete the first three tasks.  Then come back to this notebook.  \n",
    "\n",
    "Congratulations! You just wrote your first Python program. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Basic operating system commands\n",
    "\n",
    "Now we will discuss file systems, paths, and the command line. Why?  Because whenever you import an image, document, or spreadsheet into the Jupyter notebook you have to tell Jupyter where in the computer the file is located. Moreover, there are many command line functions that come in handy.  For example, you can look at the first few lines of a file before you import it into the notebook. You could also write all of your programs in a text editor and run those programs from the command line. You could then run your programs from anywhere on your computer instead of a jupyter notebook.  We will do that in Lecture 23, for example.\n",
    "\n",
    "\n",
    "###  File systems\n",
    "\n",
    "The organization of computers is based on a _file system_. The file system is hierarchical, so at the top you'll find the _root directory_ or for Mac and PC users, a _folder_. The root directory contains files and other folders which may also contain  files and  folders and etc. This continues, resulting in a tree of files and folders that make up the file system. The following figure is an example of a computer's file system:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image(filename='Figures/FileSystem.jpg')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You are probably familiar with the images like that to the left. The text to the right shows the exact same thing - but from your computer's viewpoint. Both the image to the left and the text to the right show you how to access the folder \"Desktop\". On the left, you access the folder \"Desktop\" by clicking on 'icons' that represent different folders and sub-folders until you arrive at \"Desktop\". Later in this lecture, we'll show you how to access the same folder using its path (the text to the right)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Survival operating system commands\n",
    "\n",
    "Macs and PCs both have functions that can be called from a _command line_, such as listing the contents of a folder or file, creating new folders, changing permissions on files or folders, combining the contents of files, moving files and folders around, and so on.  These commands are directed to the operating system instead of the Python interpreter.  To make these actions independent of your particular operating system, python has a built-in tool kit called \"os\" for operating system.  We imported this in the first cell and will now figure out how to use this.  \n",
    "\n",
    "Let's learn our first operating system command, which lists the contents of a directory, **os.listdir()**.  This returns a list (not in any particular order) of all the things in the directory containing this notebook:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['.DS_Store',\n",
       " 'Datasets',\n",
       " 'Lecture_01.ipynb',\n",
       " 'Figures',\n",
       " '.ipynb_checkpoints',\n",
       " 'Lecture_01_Practice_Problems.ipynb']"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os.listdir()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can ignore anything with a '.' in front of it (.DS\\_Store and .ipynb\\_checkpoints in this example.)\n",
    "\n",
    "\n",
    "Another useful command is **os.mkdir()** which creates a new directory.  Please note that _directory_ means the same thing as _folder_.  It is just that in a graphical operating system  with icons, the term _folder_ makes sense.  They look like folders. Whereas to the operating system, they are traditionally referred to as _directories_.  Never mind!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "os.mkdir('MYNEWDIRECTORY')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To see if that worked, list the contents again:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['MYNEWDIRECTORY',\n",
       " '.DS_Store',\n",
       " 'Datasets',\n",
       " 'Lecture_01.ipynb',\n",
       " 'Figures',\n",
       " '.ipynb_checkpoints',\n",
       " 'Lecture_01_Practice_Problems.ipynb']"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os.listdir()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And sure enough, there it is.   The command **os.rmdir()** deletes a directory "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "os.rmdir('MYNEWDIRECTORY')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Make sure it was removed:  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['.DS_Store',\n",
       " 'Datasets',\n",
       " 'Lecture_01.ipynb',\n",
       " 'Figures',\n",
       " '.ipynb_checkpoints',\n",
       " 'Lecture_01_Practice_Problems.ipynb']"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os.listdir()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Yup.  It's gone.  \n",
    "\n",
    "Another handy thing is to view the contents of a file. To do this in python, we use the command **open( ).readlines( )**. This will spit the contents out for your viewing pleasure."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Hi there students! Thanks for joining this class!\\n']"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "open('Datasets/myfile.txt').readlines()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "contents=open('Datasets/myfile.txt').read()\n",
    "output=open('newfile.txt','w') # open a file for writing\n",
    "output.write(contents) # write the contents\n",
    "output.close() # close the file"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So what did we create? We created a copy of **myfile.txt** called **newfile.txt**.  If you repeat the command, you will overwrite the existing output file.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Hi there students! Thanks for joining this class!\\n']"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "open('newfile.txt').readlines()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To append to the end of a file, we use the 'a' argument instead of 'w' in the **open( )** command  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "output=open('newfile.txt','a') # open a file for writing\n",
    "output.write(contents) # write the contents\n",
    "output.close() # close the file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Hi there students! Thanks for joining this class!\\n',\n",
       " 'Hi there students! Thanks for joining this class!\\n']"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "open('newfile.txt').readlines()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To delete a file (analogous to deleting a directory), we use the command **os.remove( )**."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "os.remove('newfile.txt')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Concept of path\n",
    "\n",
    "So far, we have just looked at directories in our working directory (the one with this notebook in it) and subdirectories within the working directory.  Earlier in the lecture you were shown a figure with icons on the left and text on the right.  The text to the right was a series of directories separated by '/'.  These are the _paths_ to those files. A _path_ is the unique location of a file or a directory in a file system of an OS. \n",
    "\n",
    "Now that you know more about paths, let's take a detour and learn how to embed figures directly into a Jupyter notebook. You saw this in several lectures, but were told to ignore it.  The **Image** class in the module **Ipython.display** allows us to embed many digital image types (png, jpg...)  into a  Jupyter notebook. If you take a look at the first cell of this lecture, we have already imported **Image** from **Ipython.display**. \n",
    "\n",
    "If you want to display a figure, you will use **Image** and the path to the figure. The _path_ to the figure we want to display is \"Figures/FileSystem.jpg\". This tells the operating system to find the folder labeled \"Figures\" and then grab the file inside that is labeled \"FileSystem.jpg\".  This is a _relative path_ because the location is with respect to the directory that the notebook is in. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/jpeg": 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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image(filename='Figures/FileSystem.jpg') "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The _paths_ in this figure are _absolute paths_ which uniquely define the location of the file or directory from anywhere on the computer.   The _relative paths_  are handy short cuts.   For example, we can  refer to a directory above the current directory without knowing what that is necessarily, we use these conventions:  \n",
    "\n",
    "./  is the current directory\n",
    "\n",
    "../ is the one above\n",
    "\n",
    "../../ is the one above that \n",
    "\n",
    "and so on.  \n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Instead of using 'relative' directories, it is often desirable to refer to directories in an absolute sense, i.e., relative to the _root_ directory '/'.   \n",
    "\n",
    "To find out what the _absolute path_ for your current directory, use **os.getcwd( )** to get the current working directory:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/Users/ltauxe/Dropbox/4Cych/SIO113_2020/Python_for_Earth_Science_Students/Lectures/Lecture_01'"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os.getcwd()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To find the path to your home directory, we use another Python command,  **Path.home()**.  to use this, we sneaklily already imported the toolkit **Path** in the first cell of this notebook so we are allset (your results will vary).  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "PosixPath('/Users/ltauxe')"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Path.home()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And use that in the **os.listdir( )** command to get a listing of our home directory:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['TeXShop',\n",
       " 'tmp.txt',\n",
       " '.config',\n",
       " 'Music',\n",
       " '.meteor',\n",
       " 'Cubit-13.0',\n",
       " '.parallels',\n",
       " '.condarc',\n",
       " 'ccoptions.cfg',\n",
       " '.tmptmp.swp',\n",
       " '.tcshrc.macports-saved_2013-01-26_at_13:39:56',\n",
       " '.canopy_runtimes.json',\n",
       " '.anyconnect',\n",
       " 'Untitled1.ipynb',\n",
       " '.vim',\n",
       " '.inkscape-etc',\n",
       " '.DS_Store',\n",
       " '.serverauth.6895',\n",
       " '.JxBrowser',\n",
       " '.pydistutils.cfg',\n",
       " 'VirtualBox VMs',\n",
       " '.gmtcommands',\n",
       " '.CFUserTextEncoding',\n",
       " '.hgignore_global',\n",
       " '.meteorsession',\n",
       " 'bin',\n",
       " 'MagIC',\n",
       " '.profile-anaconda3.bak',\n",
       " 'Python',\n",
       " '.profile-anaconda.bak',\n",
       " '.iprint',\n",
       " '.subversion',\n",
       " '.serverauth.757',\n",
       " '.bashrc',\n",
       " 'Meetings_2020',\n",
       " 'Untitled.ipynb',\n",
       " '.Sites',\n",
       " 'fwoptions.cfg',\n",
       " '.adobe',\n",
       " '.ltauxe_HD_Quality.txt',\n",
       " '.gdb_history',\n",
       " '.plotly',\n",
       " '.local',\n",
       " 'Creative Cloud Files',\n",
       " 'Pictures',\n",
       " '.profile.save',\n",
       " '.python_history-02466.tmp',\n",
       " '.fontconfig',\n",
       " '.tcshrc.macports-saved_2011-05-16_at_17:34:03',\n",
       " '.texlive2008',\n",
       " '.fonts.cache-1',\n",
       " 'webpasswords',\n",
       " '.tcshrc.macports-saved_2011-05-16_at_17:44:34',\n",
       " 'thellier_GUI.log',\n",
       " '.gnome2',\n",
       " 'tmp.py',\n",
       " '.recently-used.xbel',\n",
       " '.ipython',\n",
       " 'Desktop',\n",
       " 'Library',\n",
       " '.matplotlib',\n",
       " '.tgpskey',\n",
       " '.lesshst',\n",
       " '.GMT_bb_info',\n",
       " '.datathief',\n",
       " '.tcshrc.pysave',\n",
       " '.novell',\n",
       " '.enstaller4rc',\n",
       " 'seaborn-data',\n",
       " '.claro',\n",
       " '.emacs.d',\n",
       " '.geomapapp-home',\n",
       " '.SIOExplorer',\n",
       " '.gitignore_global',\n",
       " '.pybld_start',\n",
       " '.python_history-13602.tmp',\n",
       " '.APKey.plist',\n",
       " '.cups',\n",
       " 'Sites',\n",
       " '.bash_sessions',\n",
       " 'Programs',\n",
       " 'PmagPy',\n",
       " 'Google Drive',\n",
       " 'MultiDrive',\n",
       " '.matlab',\n",
       " 'enthought',\n",
       " 'Public',\n",
       " 'logs',\n",
       " '.dropbox',\n",
       " '.idlerc',\n",
       " '.tcshrc',\n",
       " '.cisco',\n",
       " '.serverauth.29680',\n",
       " '.wapi',\n",
       " '.sh_history',\n",
       " 'personal_stuff',\n",
       " '.cshrc',\n",
       " 'profiles.bin',\n",
       " 'tmp1',\n",
       " 'gha.py',\n",
       " '.anaconda',\n",
       " '.GMA',\n",
       " '.theano',\n",
       " '.serverauth.37770',\n",
       " '.ssh',\n",
       " 'Movies',\n",
       " 'Applications',\n",
       " '.profile',\n",
       " 'Dropbox',\n",
       " '.serverauth.24792',\n",
       " 'Pdfs',\n",
       " '.gmtcommands4',\n",
       " '.Trash',\n",
       " '.zoomus',\n",
       " '.ipynb_checkpoints',\n",
       " '.jupyter',\n",
       " '.serverauth.81559',\n",
       " 'SpareRoom',\n",
       " 'Documents',\n",
       " '.parallels_settings',\n",
       " '.Xcode',\n",
       " '.profile.pysave',\n",
       " '.ttffont.cache',\n",
       " '.TemporaryItems',\n",
       " 'log4j',\n",
       " '.bash_profile',\n",
       " '.Xauthority',\n",
       " 'anaconda3',\n",
       " 'Downloads',\n",
       " '.python_history',\n",
       " 'reprints',\n",
       " 'tmp',\n",
       " '.continuum',\n",
       " '.cache',\n",
       " '.serverauth.8051',\n",
       " '.gitconfig',\n",
       " '.pypirc',\n",
       " '.python_history-37074.tmp',\n",
       " '.serverauth.10853',\n",
       " '.putty',\n",
       " '.bash_history',\n",
       " '.viminfo',\n",
       " '.enthought-old',\n",
       " '.dodsrc',\n",
       " '.tmp.swo',\n",
       " '.python_history-85820.tmp',\n",
       " '.conda',\n",
       " '.canopy',\n",
       " '.matplotlib.bak',\n",
       " 'AnacondaProjects',\n",
       " '.enthought',\n",
       " 'src']"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os.listdir(Path.home())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I guess I should clean up my Desktop!  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To move change the name of a  directory to another name, use the command **os.rename( )** (for change directory). "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['TEMP', '.DS_Store', 'Datasets', 'Lecture_01.ipynb', 'Figures', '.ipynb_checkpoints', 'Lecture_01_Practice_Problems.ipynb']\n",
      "['.DS_Store', 'Datasets', 'Lecture_01.ipynb', 'Figures', '.ipynb_checkpoints', 'Lecture_01_Practice_Problems.ipynb', 'NEWTEMP']\n",
      "['.DS_Store', 'Datasets', 'Lecture_01.ipynb', 'Figures', '.ipynb_checkpoints', 'Lecture_01_Practice_Problems.ipynb']\n"
     ]
    }
   ],
   "source": [
    "os.mkdir('TEMP')\n",
    "print (os.listdir())\n",
    "os.rename('TEMP','NEWTEMP')\n",
    "print (os.listdir())\n",
    "os.rmdir('NEWTEMP')\n",
    "print (os.listdir())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Command line python scripts\n",
    "\n",
    "As mentioned in the beginning of the lecture, you can run all the little programs you have been (and will be) writing, directly from the command line.  Here's one way to do that that uses one of the many [\"magic\" commands] (https://ipython.readthedocs.io/en/stable/interactive/magics.html#cell-magics) that work with Jupyter notebooks.  Our first is:  \n",
    "\n",
    "%%writefile PATH_TO_FILE.py\n",
    "\n",
    "which writes the contents of a cell to the specified text file.  \n",
    "\n",
    "\n",
    "Running this cell will place the contents of it (without the magic command) into a file in this directory called _hello.py_.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Writing ./hello.py\n"
     ]
    }
   ],
   "source": [
    "%%writefile ./hello.py\n",
    "print (\"Hello World!\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now you can run the program from your command line (after navigating to this directory) by typing:\n",
    "\n",
    "$ python hello.py\n",
    "\n",
    "or from within this notebook:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello World!\r\n"
     ]
    }
   ],
   "source": [
    "!python hello.py"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Alternatively, you can use a different _magic_ command: %run to execute an external file:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello World!\n"
     ]
    }
   ],
   "source": [
    "%run hello.py"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The last  thing you have to worry about is that the directory containing the script must be in your **PATH**.   We have been talking about _paths_ (all lower case), but **PATH** is an \"environment variable\".  So to run a program it must be in your **PATH**. And to run a Python program from anywhere, it must be in your **PYTHONPATH**.  \n",
    "\n",
    "You can find out what your **PATH** is by using the program **os.environ\\[PATH\\]**\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/Users/ltauxe/anaconda3/bin:/Users/ltauxe/anaconda3/bin:/usr/local/Cellar/cmake/3.9.0/bin:/Users/ltauxe/Programs:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/Library/TeX/texbin:/usr/texbin:/opt/X11/bin::/Users/ltauxe/PmagPy/programs/__pycache__/:/Users/ltauxe/PmagPy/programs/conversion_scripts/:/Users/ltauxe/PmagPy/programs/conversion_scripts2/:/Users/ltauxe/PmagPy/programs/deprecated/:/Users/ltauxe/PmagPy/programs/images/:/Users/ltauxe/PmagPy/programs/:/Applications/GMT-5.3.1.app/Contents/Resources/bin'"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os.environ['PATH'] # your results will vary!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "By default, your working directory will not be in your path (some security reason), so to run a script that is in your working directory, you must either put it in your **PATH** (not recommended) or use the full path name or the relative path name,  e.g.,   \n",
    "\n",
    "./hello.py\n",
    "\n",
    "Changing your **PATH** depends a lot on your particular operating system and is beyond the scope of this lecture.   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [],
   "source": [
    "#clean up a bit\n",
    "os.remove('hello.py')"
   ]
  }
 ],
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