January 2019 slides

2018-12/intro.ipynb

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+{
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+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "<center>\n",
+    "<img src=./assets/PyDataLogoBerlin_BearOnly_Logo4x3.png width=600 style=\"display:inline\"/>\n",
+    "<h2>https://berlin.pydata.org</h2>\n",
+    "<h2>@pydataberlin</h2>\n",
+    "</center>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "##  Introduction to door2door by Emma ( 5mins)\n",
+    "\n",
+    "## Talk 1: 35 mins\n",
+    "\n",
+    "#### Title: From Prototyping to Production: Predicting Mobility Patterns using Machine Learning\n",
+    "\n",
+    "### Speaker: Marvin Hedderich\n",
+    "\n",
+    "\n",
+    "## Lightning Talks (10 mins each)\n",
+    "\n",
+    "#### Title: 10 JupyterLab Extensions in 10 minutes\n",
+    "\n",
+    "### Speaker: Jeremy Tuloup - https://github.com/jtpio\n",
+    "\n",
+    "#### Title: AI for Beginners\n",
+    "\n",
+    "### Speaker: Anuj Shah - https://github.com/anujshah1003"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "<center>\n",
+    "<h1>https://numfocus.org/code-of-conduct</h1>\n",
+    "<img src=./assets/nf-coc-wide.png style=\"display:inline\"/>\n",
+    "</center>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "<center>\n",
+    "<h1>http://pythonberlin.eu.ngrok.io/</h1>\n",
+    "<img src=./assets/pythonberlin.png style=\"display:inline\"/>\n",
+    "</center>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "# PyCon DE & PyData Berlin Conference\n",
+    "\n",
+    "## October 2019"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "<center>\n",
+    "<img src=./assets/PyDataLogoBerlin_BearOnly_Logo4x3.png width=600 style=\"display:inline\"/>\n",
+    "<h2>https://berlin.pydata.org</h2>\n",
+    "<h2>@pydataberlin</h2>\n",
+    "</center>"
+   ]
+  }
+ ],
+ "metadata": {
+  "celltoolbar": "Slideshow",
+  "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": "3.6.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}

2019-01/intro.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "<center>\n",
+    "<img src=./assets/PyDataLogoBerlin_BearOnly_Logo4x3.png width=600 style=\"display:inline\"/>\n",
+    "<h2>https://berlin.pydata.org</h2>\n",
+    "<h2>@pydataberlin</h2>\n",
+    "</center>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "##  Introduction to DeliveryHero\n",
+    "\n",
+    "## Talk 1: 35 mins\n",
+    "\n",
+    "#### Title: Can you explain your model? Boosting Domain Knowledge and Decision Making with Model Interpretation\n",
+    "\n",
+    "### Speaker: Iván Lopez\n",
+    "\n",
+    "\n",
+    "## Lightning Talks (10 mins each)\n",
+    "\n",
+    "#### Title: Lessons from the Advent of Code\n",
+    "\n",
+    "### Speaker: Eugene Ha\n",
+    "\n",
+    "#### Title: Connecting the dots with JupyterHub and the Ethereum Blockchain\n",
+    "\n",
+    "### Speaker:  Marcus Jones"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "<center>\n",
+    "<h1>https://numfocus.org/code-of-conduct</h1>\n",
+    "<img src=./assets/nf-coc-wide.png style=\"display:inline\"/>\n",
+    "</center>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "<center>\n",
+    "<h1>http://pythonberlinslack.herokuapp.com</h1>\n",
+    "<img src=./assets/pythonberlin.png style=\"display:inline\"/>\n",
+    "</center>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "# PyCon DE & PyData Berlin Conference\n",
+    "\n",
+    "## October 2019"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "<center>\n",
+    "<img src=./assets/PyDataLogoBerlin_BearOnly_Logo4x3.png width=600 style=\"display:inline\"/>\n",
+    "<h2>https://berlin.pydata.org</h2>\n",
+    "<h2>@pydataberlin</h2>\n",
+    "</center>"
+   ]
+  }
+ ],
+ "metadata": {
+  "celltoolbar": "Slideshow",
+  "kernelspec": {
+   "display_name": "Python [default]",
+   "language": "python",
+   "name": "python3"
+  },
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+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}