j4edu_talk.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# What is Jupyter ?\n",
    "\n",
    "<img src=\"https://jupyter.org/assets/main-logo.svg\" alt=\"drawing\" align='right'  width=\"15%\">\n",
    "\n",
    "\n",
    "- Spun-off from IPython in 2014 by Fernando Pérez,\n",
    "- execution environments in several dozen languages.\n",
    "\n",
    "\n",
    "*Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages.*\n",
    "\n",
    "*\"Jupyter will always be 100% open-source software, free for all to use and released under the liberal terms of the modified BSD license*\n",
    "\n",
    "\n",
    "<img src=\"https://eacea.ec.europa.eu/sites/eacea-site/files/logosbeneficaireserasmusleft_en.jpg\" width=40% align=\"center\">\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Jupyter Notebook\n",
    "\n",
    " - a Jupyter Notebook document is a JSON document \n",
    " - ordered list of input/output cells \n",
    " - cells  can contain code, text (using Markdown), mathematics, plots and rich media, \n",
    " - usually ending with the \".ipynb\" extension.*\n",
    " - Jupyter interest overtook the popularity of the Mathematica notebook interface in early 2018 [link](https://trends.google.com/trends/explore?date=all&geo=US&q=Mathematica,Jupyter)\n",
    " \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Jupyter kernels\n",
    "\n",
    "<img src=\"https://jupyter.readthedocs.io/en/latest/_images/notebook_components.png\" align='right' alt=\"drawing\" width=\"50%\"/>\n",
    "\n",
    "\n",
    " - a program responsible for handling various types of request\n",
    " - [List of kernels](https://github.com/jupyter/jupyter/wiki/Jupyter-kernels)\n",
    " - Python/R/Julia/SageMath\n",
    " \n",
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Jupyterhub\n",
    "\n",
    "<img src=\"https://jupyter.org/assets/hublogo.svg\" align='right' alt=\"drawing\" width=\"30%\"/>\n",
    "\n",
    " - system serving Jupyter notebooks for multiple users\n",
    " - flexible\n",
    " - extensible\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# How to use Jupyter?\n",
    "\n",
    "<img src=\"https://jupyter.readthedocs.io/en/latest/_images/nbconvert.png\" align='right' alt=\"drawing\" width=\"50%\"/>\n",
    "\n",
    " - stand alone application \n",
    " - central installation\n",
    " - container (mybinder)\n",
    " - notebook format processing, e.g. for book authoring\n",
    "\n",
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Who is using Jupyter?\n",
    "\n",
    " - data scientists \n",
    " - code exploration, prototypying with code and software\n",
    " - educators - it can be easily used in schools/universities at many levels\n",
    " -  example: *Canadians Land on Jupyter* [link at blog.jupyter.org](https://blog.jupyter.org/national-scale-interactive-computing-2c104455e062)\n",
    " \n",
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Jupyter @ SMCEBI - jupyterhub\n",
    "\n",
    "- Central installation for students and researchers\n",
    " - LDAP\n",
    " - backuped home\n",
    " - SLURM for scalability\n",
    " \n",
    "- Isolated instances with OAuth\n",
    " - gmail as login\n",
    " - admin can whitelist users\n",
    " - isolated but not backuped \n",
    "\n",
    "- special installation  of nbgrader for selected coursed\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Stats, experiences\n",
    "\n",
    " - We have c.a. active 400 users of `alfa` system which is used for many courses\n",
    " - In total 1500 accounts in LDAP have been created.\n",
    " - We conducted evaluation: [Pool](https://jupyter4edu.smcebi.edu.pl/evaluation)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## A general assessment of experience in working with a jupyter notebook?\n",
    "\n",
    "![](https://lh6.googleusercontent.com/r3_IOHdyNUu5p33CTbE6mopiy6-nZukw9-hmgnz_VUO2fkGBI2Ud30eusXv71EZSLMRP7cMicLBCxnHOV2e9vlH4ZxgV6dY2jDThaWvkvXI04myK9B91=w1075)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Jupyter in practice  (edu)\n",
    "\n",
    "- Introduction to AI 30+30h\n",
    "- nbgrader was used \n",
    "- Jupyter was a main tool\n",
    "- rather positive feedbacks\n",
    "- nbgrader requires **faultless**  problems and tests."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Conclusions\n",
    "\n",
    "**Jupyter is the new Excel**\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "**but not for your boss**\n",
    "\n",
    "  1. https://towardsdatascience.com/jupyter-is-the-new-excel-but-not-for-your-boss-d24340ebf314\n",
    "  2. https://towardsdatascience.com/jupyter-is-the-new-excel-a7a22f2fc13a"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Jupyter notebook examples"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    " ![k](https://jupyter.org/assets/jupyterpreview.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [],
   "source": [
    "from ipywidgets import IntSlider, interact"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "cc1c772dbfe04a4282fa49a5aea703b9",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(IntSlider(value=0, description='s'), Output()), _dom_classes=('widget-interact',))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "@interact(s=IntSlider())\n",
    "def fun(s):\n",
    "    print(s)\n",
    "    for i in range(s):\n",
    "        for j in range(s):\n",
    "            print(i,end=' ')\n",
    "        print()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "962a296364c741b79a05e5248de494ed",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import k3d\n",
    "import numpy as np\n",
    "p = k3d.plot(height=400)\n",
    "x = np.linspace(0,3,30).astype(np.float32)\n",
    "x,y = np.meshgrid(x,x)\n",
    "p += k3d.surface(np.sin(1*x**2+1*y**2),bounds=(0,10,0,10))\n",
    "p.display()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "for f in np.linspace(0,6,100):\n",
    "    p.objects[0].heights = np.sin(1*x**2+1*y**2+f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7f997a87e790>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
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     },
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   ],
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    "plt.scatter(np.random.randn(1000),\n",
    "            np.random.randn(1000),\n",
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  "toc": {
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         },
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