Add draft Lecture_PCA material.

.gitignore

@@ -1,3 +1,7 @@
 Datasets/SurfaceTemp/tmp.csv
 mknb
 update_git
+.ipynb_checkpoints/*
+Practice_Problems/.ipynb_checkpoints/*
+Assignments/.ipynb_checkpoints/*
+Supplementary_Lectures/.ipynb_checkpoints/*

Assignments/Assignment_1.ipynb

@@ -0,0 +1,80 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# SIO 113: Assignment #1\n",
+    "\n",
+    "#### Instructor: Dave May (dmay@ucsd.edu)\n",
+    "\n",
+    "#### Assistant: Gabrielle Hobson (ghobson@ucsd.edu)\n",
+    "\n",
+    "#### Scripps Institution of Oceanography, UCSD.\n",
+    "\n",
+    "----"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "collapsed": true
+   },
+   "source": [
+    "- **Create** a new jupyter notebook (under File menu, select \"New Notebook\").  \n",
+    "- **Rename** your notebook (under File menu, select \"Rename\") using the format YourLastname_FirstInitial_HW_01.\n",
+    "- Save the notebook (click on the disk icon in the menu bar).\n",
+    "- Create a **markdown** block in which you will describe what the notebook does. \n",
+    "- Make a **code** block that creates a `list` called `planets`.\n",
+    "    - Append all the planets to the list.\n",
+    "    - Make a deep copy of your `planets` list (with a different name). \n",
+    "    - Print the element at **index** 2 in your `planets` list. \n",
+    "    - Set the element at **index** 2 in your copy to the value `'X'`.\n",
+    "    - Print the element at **index** 2 in both lists (`planets` and your copy).\n",
+    "    - Append the element that you just changed   to the end of  your copy.\n",
+    "    - Use the `help()` function to find out what the _built-in_ function `len()` does.\n",
+    "- Create a **set** from `planets` and your copy of `planets`. Call these sets `planets_s` and `planets_copy_s`.\n",
+    "    - Find the elements in common between the two planet sets (i.e. `planets_s` and `planets_copy_s`).\n",
+    "- Make another code block that creates a list called, e.g., `numList`, using `range()` that has 8 values starting with 1. \n",
+    "    - Print out your new list.\n",
+    "    - Create a **set** from your new list of numbers `numList`. Call this `numList_s`  \n",
+    "    - Find the elements in common between your `planets_s` set and your numbers `numList_s`. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div class=\"alert alert-block alert-danger\"><b> \n",
+    "To receive full credit, your notebook:\n",
+    "    \n",
+    "1. Must have the correct name;\n",
+    "2. Must be fully commented;\n",
+    "3. Must run as expected;\n",
+    "4. Must be submitted into Canvas before the deadline.\n",
+    "</b></div>"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}

Assignments/Assignment_2.ipynb

@@ -0,0 +1,123 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# SIO 113: Assignment #2\n",
+    "\n",
+    "#### Instructor: Dave May (dmay@ucsd.edu)\n",
+    "\n",
+    "#### Assistant: Gabrielle Hobson (ghobson@ucsd.edu)\n",
+    "\n",
+    "#### Scripps Institution of Oceanography, UCSD.\n",
+    "\n",
+    "----"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div class=\"alert alert-block alert-info\"><b>Preliminary:</b>\n",
+    "Create a new notebook and rename it using the format YourLastname_FirstInitial_HW_02.\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div class=\"alert alert-block alert-warning\"><b>Note:</b>\n",
+    "In the following it is assumed that you imported the NumPy module into the following namespace\n",
+    "    \n",
+    "`\n",
+    "import numpy as np\n",
+    "`    \n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "collapsed": true
+   },
+   "source": [
+    "- In a **markdown** cell, write a description of what the notebook does.\n",
+    "- Create a NumPy  array of numbers from 0 to 100.\n",
+    "- Create another list that is empty.\n",
+    "- Write a `for` loop that takes the square root of each value in your NumPy `ndarray` (using `np.sqrt()`) and appends the result to the empty list.  \n",
+    "- Print out all the numbers that are divisible by 4 (using the modulo operator).\n",
+    "- Plot the square roots against the original values in the NumPy array.  \n",
+    "- Create a dictionary with at least four key:value pairs.\n",
+    "\n",
+    "- Write your own module that contains at least four functions and uses a dictionary and a list. Include a doc string in your module which briefly describes what functionality the module provides. Include a docstring for each function.\n",
+    "- Save the contents of your module in a file using the magic (Jupyter) command: \n",
+    "```python\n",
+    "%%writefile YOUR_MODULE_NAME.py\n",
+    "```\n",
+    "- Import your module into your notebook and call all of the functions defined within it. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div class=\"alert alert-block alert-warning\"><b>Hint:</b> For the purposes of debugging, you will probably want to 'reload' your module as you refine / change / edit it.\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "To reload your module, do the following (at the top of your notebook)\n",
+    "\n",
+    "```python\n",
+    "from importlib import reload\n",
+    "```\n",
+    "\n",
+    "and then\n",
+    "\n",
+    "```python\n",
+    "reload(YOUR_MODULE_NAME)\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div class=\"alert alert-block alert-danger\"><b> \n",
+    "To receive full credit, your notebook:\n",
+    "    \n",
+    "1. Must have the correct name;\n",
+    "2. Must be fully commented;\n",
+    "3. Must run as expected;\n",
+    "4. Must be submitted into Canvas before the deadline.\n",
+    "</b></div>"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}

Assignments/Assignment_3.ipynb

@@ -0,0 +1,101 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# SIO 113: Assignment #3\n",
+    "\n",
+    "#### Instructor: Dave May (dmay@ucsd.edu)\n",
+    "\n",
+    "#### Assistant: Gabrielle Hobson (ghobson@ucsd.edu)\n",
+    "\n",
+    "#### Scripps Institution of Oceanography, UCSD.\n",
+    "\n",
+    "----"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div class=\"alert alert-block alert-info\"><b>Preliminary:</b>\n",
+    "Create a new notebook and rename it using the format YourLastname_FirstInitial_HW_03.\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Earthquake Analysis"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "1. Obtain the data set\n",
+    "  * Go to the [IRIS website](http://ds.iris.edu/ieb/index.html?format=text&nodata=404&starttime=1970-01-01&endtime=2025-01-01&minmag=0&maxmag=10&mindepth=0&maxdepth=900&orderby=time-desc&limit=1000&maxlat=89.18&minlat=-89.18&maxlon=180.00&minlon=-180.00&zm=1&mt=ter) (US's national earthquake database).\n",
+    "  * Search for the last 10 earthquakes. To do this, on the right panel, set \"Maximum earthquakes\" to `10` and set \"Select earthquakes by\" to `Newest`. Then click \"Apply\".\n",
+    "  * On the right panel, under \"Download as\" select `Excel`.\n",
+    "  * Upload the `.csv` file (it's probably called `IEB_export.csv`) into you Jupyter environment (or copy to a directory on your computer with your notebook in it). \n",
+    "2. Process the data\n",
+    "  * Load the `.csv` file into a **pandas** `DataFrame`.\n",
+    "  * Extract the latitudes,  longitudes and depths  as a **NumPy** array.  \n",
+    "3. Visualize the data\n",
+    "  * Create an XY scatter plot with longitude on the X-axis and latitudes on the Y-axis. Use small red triangles as the symbols.  \n",
+    "  * Add a title to you plot.\n",
+    "  * Label both the x and y axes.\n",
+    "  * Save your figure as a `.png` file.\n",
+    "4. Extensions for future work\n",
+    "  * Write a module that has a great circle function in it that returns a value for the distance rounded to the nearest decimal.\n",
+    "  * Save your module in a `.py` file to be re-used later."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div class=\"alert alert-block alert-warning\"><b>Note:</b>\n",
+    "When submitting your homework to Canvas, you must include the datafile you downloaded along with your solution (Jupyter notebook). Please upload your submisson as a single zip file.\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div class=\"alert alert-block alert-danger\"><b> \n",
+    "To receive full credit, your notebook:\n",
+    "    \n",
+    "1. Must have the correct name;\n",
+    "2. Must be fully commented;\n",
+    "3. Must run as expected;\n",
+    "4. Must be submitted into Canvas before the deadline.\n",
+    "</b></div>"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}