{ "cells": [ { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# JupyterDay Philly\n", "\n", "## Welcome!\n", "\n", "**Funding provided by the Association of American Colleges & Universities' Teaching to Increase Diversity and Equity in STEM (TIDES)**\n", "\n", "Swag provided by O’Reilly Media and Bryn Mawr College.\n", "\n", "Your hosts:\n", "\n", "* Liz McCormack\n", "* Mark Matlin\n", "* Douglas Blank\n", "* Jenny Spohrer\n", "* Melanie Bahti\n", "* Beth Seltzer\n", "\n", "Restrooms: down the hall\n", "\n", "## Connections\n", "\n", "1. Wireless accounts\n", "2. Jupyter online accounts\n", "3. Social media: please use **#JupyterDay** on Twitter\n", "\n", "## Schedule\n", "\n", "Change in schedule: one less speaker in morning, but added a question/answer period.\n", "\n", "Coffee break 10:15 - 10:30\n", "\n", "Discussion 11:40\n", "\n", "Lunch 12:00 - 12:45 pm (buffet lunch, Dalton 212a, e)\n", "\n", "Demonstrations - 12:45 - 1:45 (Canaday 315)\n", "\n", "Break 3:00 - 3:15\n", "\n", "Discussion 4:45 - 5:00" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": true }, "outputs": [], "source": [ "import sys" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Hello" ] } ], "source": [ "sys.stderr.write(\"Hello\")" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": false }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "\u001b[0;31m\n", "Traceback (most recent call last):\n", " File \"In [1]\", line 1, col 1, in '/'\n", " File \"In [1]\", line 1, col 1\n", "RunTimeError: division by zero\n", "\n", "\u001b[0m" ] } ], "source": [ "(/ 1 0)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Calysto Scheme 3", "language": "scheme", "name": "calysto_scheme" }, "language_info": { "codemirror_mode": { "name": "scheme" }, "mimetype": "text/x-scheme", "name": "scheme", "pygments_lexer": "scheme" } }, "nbformat": 4, "nbformat_minor": 1 }