SciPyLATAM 2019 talk.ipynb

{
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  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# La R`[*]`volución de Jupyter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "import time\n",
    "time.sleep(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Damián Avila"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Blog: http://damianavila.github.io/blog/\n",
    "\n",
    "### Twitter: [@damian_avila](https://twitter.com/damian_avila)\n",
    "\n",
    "### GitHub: https://github.com/damianavila"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Damián Avila"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "source": [
    "### Desarrollador de Software\n",
    "\n",
    "### @ Anaconda, Inc.\n",
    "\n",
    "### @ University of Michigan"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Damián Avila"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "source": [
    "### Desarrollador *core* de Jupyter\n",
    "\n",
    "### Miembro del *Jupyter Steering Council*\n",
    "\n",
    "### Parte del proyecto desde el año *2012*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# `[*]`volución "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# El ecosistema de Jupyter"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "<center><img src=\"ecosistema.jpg\">From wikipedia</center>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "*Un ecosistema es un sistema biológico constituido por una comunidad de organismos vivos (biocenosis) y el medio físico donde se relacionan (biotopo). Se trata de una unidad compuesta de organismos interdependientes que comparten el mismo hábitat.*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Jovianos"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "<center><img src=\"jovian.png\" width=\"700\" height=\"200\"></center>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# Contribuyentes\n",
    "\n",
    "* Desarrolladores\n",
    "* Diseñadores\n",
    "* Gestores de proyecto\n",
    "* Otros"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# Usuarios"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# VOS"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<center><img src=\"hand.png\" width=\"500\" height=\"500\"></center>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# La Comunidad de Jupyter"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<center><img src=\"fellowship.jpg\" width=\"500\" height=\"500\">From wikipedia</center>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Jupyter - El planeta de los `jovianos`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<center><img src=\"jupiter.jpg\" width=\"400\" height=\"400\">Image processing by Kevin M. Gill, licensed under CC by 3.0</center>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# Estructura vertical (niveles)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<center><img src=\"vertical.png\" width=\"800\" height=\"600\"></center>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Nivel I"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "## Estándares abiertos para la computación interactiva"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### El documento \"notebook\" (archivo .ipynb)\n",
    "\n",
    "Los Jupyter notebooks (archivos) son documentos abiertos basados en JSON. Contienen la información de la sesión del usuario así como código, texto, ecuaciones, videos y outputs complejos (HTML y JS)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Kernels\n",
    "\n",
    "Los Kernels son procesos que corren código de manera interactiva en un lenguage the programación particular y retorna el resultado de la computación al usuario."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Protocolo de computación interactiva\n",
    "\n",
    "El Notebook (app) se comunica con los Kernels (quienes computan) usando un Protocolo de Computación Interactiva, un protocolo abierto basado en el envio de datos tipo JSON a través de canales ZMQ y Websockets."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Nivel II"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "## Principales subproyectos"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### IPython"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "source": [
    "* Un poderoso intérprete interactivo para Python\n",
    "* Un jupyter kernel para trabajar con código Python en el Jupyter Notebook y otros frontends interactivos"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Jupyter Notebook"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "source": [
    "* Es un ambiente de computación interactivo que le permite al usuario escribir documentos (notebooks) que pueden incluir código, widgets interactivos, figuras, texto, ecuaciones, imágenes, video, etc."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### nbconvert"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "source": [
    "* Convierte el documento (archivo) .ipynb en otros formatos estáticos: HTML (incluyendo slides HTML basadas en Reveal.js), Latex, PDF, Markdown, ReST, entre otros. \n",
    "* Flexibilidad para compartir infomación en múltiples y diferentes formatos.\n",
    "* Permite la presentación, publicación, colaboración y compartición de contenido"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "* Puede ser utilizado como un paquete (`import nbconvert`) para adicionar funcionalidades de conversión de notebooks en tu propia aplicación.\n",
    "* http://damianavila.github.io/blog/ powered by [Nikola](https://getnikola.com/)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.display import IFrame\n",
    "IFrame(\"https://damianavila.github.io/blog\", 1000, 500)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### nbviewer"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "source": [
    "* Una manera simple de compartir tu Jupyter notebooks con el mundo\n",
    "* Es nbconvert con esteroides, pero centrado en la conversión HTML (incluyendo slides)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.display import IFrame\n",
    "IFrame(\"https://nbviewer.jupyter.org/\", 1000, 500)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Jupyter Widgets"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "source": [
    "* Son objetos python con representación en el browser, frecuentemente como un controlador, pj: un slider, una caja de text, etc.\n",
    "* Pueden utilizarse para generar GUI interactivas para tus notebooks\n",
    "* Pueden utilizarse para sincronizar información entre Python y Javascript"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import ipywidgets\n",
    "\n",
    "\n",
    "def sin_x(x, frequency=1, phase=0):\n",
    "    return np.sin(\n",
    "        2*np.pi*frequency*x + phase\n",
    "    )\n",
    "\n",
    "def plot_sin_x(frequency=1., phase=0.):\n",
    "    x = np.linspace(-1, 1, 200)\n",
    "    plt.plot(x, sin_x(x, frequency, phase))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [],
   "source": [
    "widget = ipywidgets.interactive(plot_sin_x)\n",
    "widget"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### JupyterHub"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "source": [
    "* JupyterHub es un conjunto de herramientas que poveen single user Jupyter Notebook servers para cada persona dentro de un grupo."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Binder"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "source": [
    "* Permite crear ambientes computacionales personalizados que puede ser compartidos y usados por otros usuarios remotos.\n",
    "* Usando repo2docker genera una imágen Docker a partir de un repositorio de Github, la cual contienen todos los componentes específicados junto a los notebooks de interés.\n",
    "* Utiliza JupyterHub para proveer la interfase the usuario y conectar la imágen Docker previamente generada a un ambiente computacional en la nube"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "* Utiliza BinderHub como puente para conectar repo2docker y JupyterHub y, finalmente, crear la experiencia \"Binder\"."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [],
   "source": [
    "from IPython.display import IFrame\n",
    "IFrame(\"https://mybinder.org/\", 1000, 500)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Jupyter Lab"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "source": [
    "* ~~El futuro!!!~~ El presente!!\n",
    "* Una experiencia quasi-IDE, pero en el browser y utilizando la múltiples tecnologías del ecosistema\n",
    "* Repo: https://github.com/jupyterlab/jupyterlab\n",
    "* Docs: http://jupyterlab-tutorial.readthedocs.io/en/latest/"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Subproyectos secundarios - Nivel III"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "* Específico de dominio\n",
    "* Dependendientes de subproyectos principales"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "* **RISE**: https://rise.readthedocs.io\n",
    "* **nbgrader**: https://nbgrader.readthedocs.io\n",
    "* **Voila**: https://voila.readthedocs.io\n",
    "* **Papermill**: https://papermill.readthedocs.io\n",
    "* y muchos más!!!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# R`[*]`volución"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# Jupyter & Ciencia"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## LIGO - Ondas gravitacionales"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.display import IFrame\n",
    "IFrame(\"https://www.gw-openscience.org/tutorials/\", 1000, 500)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Telescopio de evento horizonte - Agujero Negro"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<center><img src=\"agujero.jpg\" width=\"800\" height=\"600\">Credits: Event Horizon Telescope collaboration et al.</center>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# Jupyter & Educación"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "*  Syzygy, una plataforma de computación interactiva que provisiona JupyterHubs a nivel nacional en Canadá"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<center><img src=\"syzygy.png\" width=\"600\" height=\"400\">From the Jupyter Blog</center>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Niveles educativos"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* Primaria: 6 - 12 años\n",
    "* Secundaria: 12 - 18 años\n",
    "* Universidad: 18 - 24 años"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# Jupyter & Diversidad"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Diversidad geográfica"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<center><img src=\"hdi.png\" width=\"600\" height=\"400\">From Wikipedia</center>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## y por casa como andamos..."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<center><img src=\"hdi_latin.png\" width=\"400\" height=\"300\">From Wikipedia</center>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# Jupyter en Latinoamérica"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## 1er Taller Sudaméricano de Jupyter - Junio del 2019"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<center><img src=\"workshop.jpeg\" width=\"600\" height=\"400\">From the Jupyter Blog</center>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Idea"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "*Conformar un grupo de personas interesadas en el ecosistema, plantar semillas de futuros `jovianos` que puedan, eventualmente, desparramar el interés en sus respectivas regiones.*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Resultados"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* Nos conocimos\n",
    "* Conversamos y discutimos\n",
    "* Comimos\n",
    "* Nos ayudamos mutuamente\n",
    "* Hackeamos\n",
    "* Nos inspiramos"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## https://t.me/jupyter_latam"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Siguientes pasos"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "* Replicar (por estos lares tal vez ;-)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "* JupyterCamp??"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* JupyterCon???"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# My oficina estos últimos días..."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
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   "source": [
    "<center><img src=\"bogota.jpeg\" width=\"600\" height=\"400\">By me, GRACIAS Bogotá!!</center>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
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   "source": [
    "## Gracias SciPy LATAM 2019!!!"
   ]
  },
  {
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   "metadata": {
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     "slide_type": "-"
    }
   },
   "source": [
    "### Contacto"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Blog: http://damianavila.github.io/blog/\n",
    "\n",
    "### Twitter: [@damian_avila](https://twitter.com/damian_avila)\n",
    "\n",
    "### GitHub: https://github.com/damianavila"
   ]
  }
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