Create Template notebook

Author: Madejski

Template notebook

@@ -0,0 +1,217 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "# Title\n",
+    "<br>Owner(s): **First Owner** ([@username1](https://github.com/LSSTScienceCollaborations/StackClub/issues/new?body=@username1)), **Second Owner** ([@username2](https://github.com/LSSTScienceCollaborations/StackClub/issues/new?body=@username2))\n",
+    "<br>Last Verified to Run: **20XX-XX-XX**\n",
+    "<br>Verified Stack Release: **16.0**\n",
+    "\n",
+    "### Learning Objectives:\n",
+    "\n",
+    "After working through this tutorial you should be able to: \n",
+    "1. Do this thing;\n",
+    "2. Do this other thing;\n",
+    "3. Understand this concept;\n",
+    "4. Produce your own etc etc.\n",
+    "\n",
+    "### Logistics\n",
+    "This notebook is intended to be runnable on `lsst-lsp-stable.ncsa.illinois.edu` from a local git clone of https://github.com/LSSTScienceCollaborations/StackClub.\n",
+    "\n",
+    "## Set-up"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The next few cells give you some options for your \"Set-up\" section - you may not need them all."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We'll need the `stackclub` package to be installed. If you are not developing this package, you can install it using `pip`, like this:\n",
+    "```\n",
+    "pip install git+git://github.com/LSSTScienceCollaborations/StackClub.git#egg=stackclub\n",
+    "```\n",
+    "If you are developing the `stackclub` package (eg by adding modules to it to support the Stack Club tutorial that you are writing, you'll need to make a local, editable installation. In the top level folder of the `StackClub` repo, do:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "! cd .. && python setup.py -q develop --user && cd -"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "When editing the `stackclub` package files, we want the latest version to be imported when we re-run the import command. To enable this, we need the %autoreload magic command."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%load_ext autoreload\n",
+    "%autoreload 2"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "You can find the Stack version that this notebook is running by using eups list -s on the terminal command line:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# What version of the Stack am I using?\n",
+    "! echo $HOSTNAME\n",
+    "! eups list lsst_distrib -s"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "subslide"
+    }
+   },
+   "source": [
+    "For this tutorial we'll need the following modules:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%matplotlib inline\n",
+    "#%matplotlib ipympl\n",
+    "\n",
+    "import os\n",
+    "import numpy as np\n",
+    "import matplotlib as mpl\n",
+    "import matplotlib.pyplot as plt\n",
+    "from IPython.display import IFrame, display, Markdown\n",
+    "import warnings\n",
+    "\n",
+    "# Filter some warnings printed by v16.0 of the stack\n",
+    "warnings.simplefilter(\"ignore\", category=FutureWarning)\n",
+    "warnings.simplefilter(\"ignore\", category=UserWarning)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import lsst.daf.persistence as dafPersist\n",
+    "import lsst.daf.base as dafBase\n",
+    "\n",
+    "import lsst.afw.math as afwMath\n",
+    "import lsst.afw.geom as afwGeom\n",
+    "\n",
+    "import lsst.afw.detection as afwDetect\n",
+    "import lsst.afw.image as afwImage\n",
+    "import lsst.afw.table as afwTable\n",
+    "\n",
+    "import lsst.afw.display as afwDisplay"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "## Section Title\n",
+    "\n",
+    "Explain what we are going to do in this section."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "# If a particular line of python needs explaining, do it!\n",
+    "print(\"Hello World\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Summary\n",
+    "\n",
+    "Remind the user what they have done, and what they should now be able to do."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "You could also point them to a related tutorial or reference source, to help them go further."
+   ]
+  }
+ ],
+ "metadata": {
+  "celltoolbar": "Slideshow",
+  "kernelspec": {
+   "display_name": "LSST",
+   "language": "python",
+   "name": "lsst"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.6"
+  },
+  "livereveal": {
+   "scroll": true,
+   "start_slideshow_at": "selected"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}