4_1-BuildYourToolkit.ipynb

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   "source": [
    "# Module 4, Part 1: Build Your Toolkit (2 hours)\n",
    "\"Tech Loops\" from [xkcd](https://xkcd.com/1579/) by Randall Munroe\n",
    "<img src=\"https://imgs.xkcd.com/comics/tech_loops.png\" width=\"600px\" />\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Reproducible Data Analysis in Jupyter \n",
    "\n",
    "### Pre-class work \n",
    "\n",
    "Watch this [11-part video series](http://jakevdp.github.io/blog/2017/03/03/reproducible-data-analysis-in-jupyter/) by Jake Vanderplas, demonstrating a workflow using Python and Jupyter. Total time: 1:13:43"
   ]
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  {
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   "source": [
    "from IPython.display import YouTubeVideo\n",
    "def embed_video(index, playlist='PLYCpMb24GpOC704uO9svUrihl-HY1tTJJ'):\n",
    "    return YouTubeVideo('', index=index - 1, list=playlist, width=600, height=350)\n",
    "embed_video(1)"
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  {
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   "metadata": {
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   "source": [
    "### In-class exercise (45 min)\n",
    "\n",
    "Pick a data analysis project you are already working on and try to reproduce part of the workflow; alternatively, try to replicate one of the videos.\n",
    "1. Loading and Visualizing Data\n",
    "2. Further Data Exploration\n",
    "3. Version Control with Git & GitHub\n",
    "4. Working with Data and GitHub\n",
    "5. Creating a Python Package\n",
    "6. Unit Testing with PyTest\n",
    "7. Refactoring for Speed\n",
    "8. Debugging a Broken Function\n",
    "10. Further Data Exploration\n",
    "11. Cleaning-up the Notebook"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Alternative to Python: R and RStudio \n",
    "\n",
    "\n",
    "\n",
    "<table>\n",
    "<tr>\n",
    "<td><img src=\"https://developer.r-project.org/Logo/Rlogo.svg\" width=\"150px\" /></td>\n",
    "<td><img src=\"https://www.rstudio.com/wp-content/uploads/2014/03/blue-250.png\" width=\"250px\" /></td>\n",
    "<td><img src=\"https://www.rstudio.com/wp-content/uploads/2015/10/rstudio.png\" width=\"300px\" /></td>\n",
    "<td><img src=\"https://www.rstudio.com/wp-content/uploads/2015/10/r-packages.png\" width=\"300px\" /></td>\n",
    "</tr>\n",
    "</table>\n",
    "\n",
    "### Resources\n",
    "* Download [R](https://cran.rstudio.com/) and [RStudio](https://www.rstudio.com/products/rstudio/download/)\n",
    "* [Reproducible Research with R and RStudio](https://github.com/christophergandrud/Rep-Res-Book)\n",
    "* [R-bloggers](https://www.r-bloggers.com/)\n",
    "* [R Conferences](https://www.r-project.org/conferences.html)\n",
    "* [#rstats](http://twitter.com/hashtag/rstats)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Data wrangling with OpenRefine\n",
    "\n",
    "<img src=\"https://upload.wikimedia.org/wikipedia/commons/thumb/7/76/Google-refine-logo.svg/200px-Google-refine-logo.svg.png\" width=\"80px\" />\n",
    "\n",
    "### Resources\n",
    "* [Download](http://openrefine.org/)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
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   "source": [
    "def embed_ORvideo(index, playlist='PL737054C67FCC0741'):\n",
    "    return YouTubeVideo('', index=index - 1, list=playlist, width=600, height=350)\n",
    "embed_ORvideo(1)"
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  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Scientific Writing with LaTeX (and Markdown)\n",
    "\n",
    "<img src=\"https://upload.wikimedia.org/wikipedia/commons/9/92/LaTeX_logo.svg\" width=\"300px\" />\n",
    "\n",
    "### Resources\n",
    "* [Learn more](http://www.latex-project.org/)\n",
    "* [LaTeX for the Health Sciences](http://campusguides.lib.utah.edu/LaTeXHealthSciences) guide --generally useful for anyone\n",
    "* [LaTeX Wikibook](https://en.wikibooks.org/wiki/LaTeX)\n",
    "* [UofU Thesis Template](http://ftp.math.utah.edu/pub/uuthesis/)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Examples\n",
    "\n",
    "**Basic LaTeX document:**\n",
    "```\n",
    "\\documentclass{article}\n",
    "\\title{LaTeX 101}\n",
    "\\author{You}\n",
    "\\date{July 2017}\n",
    "\\begin{document}\n",
    "  \\maketitle\n",
    "  Hello world!\n",
    "\\end{document}\n",
    "```\n",
    "\n",
    "See a similar example in action on [Overleaf](https://www.overleaf.com/latex/examples/hello-world/mchkmshqjpjt)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
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   "source": [
    "**Annotating equations:**\n",
    "$$z = \\overbrace{\\underbrace{x}_\\text{real} + i\\underbrace{y}_\\text{imaginary}}^\\text{complex number}$$\n",
    "\n",
    "```\n",
    "$$\n",
    " z = \\overbrace{\n",
    "   \\underbrace{x}_\\text{real} + i\n",
    "   \\underbrace{y}_\\text{imaginary}\n",
    "  }^\\text{complex number}\n",
    "$$\n",
    "```\n",
    "\n",
    "A side note: the `$$...$$` syntax is depreciated in TeX but still used in other programs. The preferred syntax is `\\[...\\]` but sometimes interferes with Markdown. If you are curious to learn more, check out this [Survey of Syntax for Math in Markdown](https://github.com/cben/mathdown/wiki/math-in-markdown)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
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   },
   "source": [
    "**Creating a matrix:**\n",
    "$$\n",
    "A_{m,n} = \n",
    " \\begin{pmatrix}\n",
    "  a_{1,1} & a_{1,2} & \\cdots & a_{1,n} \\\\\n",
    "  a_{2,1} & a_{2,2} & \\cdots & a_{2,n} \\\\\n",
    "  \\vdots  & \\vdots  & \\ddots & \\vdots  \\\\\n",
    "  a_{m,1} & a_{m,2} & \\cdots & a_{m,n} \n",
    " \\end{pmatrix}\n",
    "$$\n",
    "```\n",
    "$$\n",
    "A_{m,n} = \n",
    " \\begin{pmatrix}\n",
    "  a_{1,1} & a_{1,2} & \\cdots & a_{1,n} \\\\\n",
    "  a_{2,1} & a_{2,2} & \\cdots & a_{2,n} \\\\\n",
    "  \\vdots  & \\vdots  & \\ddots & \\vdots  \\\\\n",
    "  a_{m,1} & a_{m,2} & \\cdots & a_{m,n} \n",
    " \\end{pmatrix}\n",
    "$$\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Open Science Framework \n",
    "\n",
    "### Examples\n",
    "* [Reproducibility Project: Psychology](https://osf.io/ezcuj/)\n",
    "* [Reproducibility Project: Cancer Biology](https://osf.io/e81xl/)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
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      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"600\"\n",
       "            height=\"350\"\n",
       "            src=\"https://www.youtube.com/embed/2TV21gOzfhw\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.YouTubeVideo at 0x7ff5b2773898>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "YouTubeVideo(\"2TV21gOzfhw\", width=600, height=350)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "[Learn more](https://cos.io/our-products/open-science-framework/) and get started <a href=\"http://osf.io\">here</a>.\n",
    "\n",
    "<center><img src=\"https://cdn.cos.io/media/images/research_lifecycle.original.png\" /></center>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## LabArchives\n",
    "Login under University of Utah: https://mynotebook.labarchives.com/\n",
    "\n",
    "### Resources\n",
    "* Follow <a href=\"http://campusguides.lib.utah.edu/labarchives\">the guide here</a> to get started."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "image/jpeg": 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      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"600\"\n",
       "            height=\"350\"\n",
       "            src=\"https://www.youtube.com/embed/2Jd4JOLImfI\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.YouTubeVideo at 0x7ff5b2773978>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "YouTubeVideo(\"2Jd4JOLImfI\", width=600, height=350)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## VisTrails --initially developed here at The University of Utah\n",
    "\n",
    "![](https://upload.wikimedia.org/wikipedia/en/f/f5/VisTrails_logo.png)\n",
    "\n",
    "Demo. See [notes](./notes-vistrails.md).\n",
    "\n",
    "### Resources\n",
    "* [Download](https://www.vistrails.org/index.php/Main_Page)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## ReproZip\n",
    "\n",
    "See this recent [SciPy17 presentation](https://vickysteeves.gitlab.io/2017-SciPy/#/) and/or [notes](./notes-reprozip.md).\n",
    "\n",
    "### Resources\n",
    "* [Download](https://www.reprozip.org/)\n",
    "* [Examples](https://examples.reprozip.org/)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "image/jpeg": 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m1yGYszs8DlnlZzI6AmHSBryEjyMDyBOfOq3ul7G+jUSNuLHKkY0F1xLKdvBPHhOCM/FS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       "\n",
       "        <iframe\n",
       "            width=\"600\"\n",
       "            height=\"350\"\n",
       "            src=\"https://www.youtube.com/embed/-zLPuwCHXo0\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "        ></iframe>\n",
       "        "
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      "text/plain": [
       "<IPython.lib.display.YouTubeVideo at 0x7ff5b26bfa20>"
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     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "YouTubeVideo(\"-zLPuwCHXo0\", width=600, height=350)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Other tools\n",
    "* [GNU Make](https://www.gnu.org/software/make/)\n",
    "* [Pandoc](http://pandoc.org/)\n",
    "* [GitBook](https://www.gitbook.com/)\n",
    "* [GitLab](https://about.gitlab.com/)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Exercise\n",
    "Pick one of the tools and set up a project or workflow with it. \n",
    "\n",
    "## Additional Learning Resources\n",
    "* [Software Carpentry](https://software-carpentry.org/lessons/)\n",
    "* [Data Carpentry](http://www.datacarpentry.org/lessons/)"
   ]
  }
 ],
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