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updated tutorial and separated mentimeter to it's own section
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,143 @@ | ||
| { | ||
| "cells": [ | ||
| { | ||
| "attachments": {}, | ||
| "cell_type": "markdown", | ||
| "metadata": { | ||
| "editable": true, | ||
| "slideshow": { | ||
| "slide_type": "" | ||
| }, | ||
| "tags": [] | ||
| }, | ||
| "source": [ | ||
| "# Mentimeter polls\n", | ||
| " \n", | ||
| "Here is the link to mentimeter poll.\n", | ||
| "https://www.menti.com/alohp2v13yqh" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": 1, | ||
| "metadata": { | ||
| "editable": true, | ||
| "scrolled": true, | ||
| "slideshow": { | ||
| "slide_type": "" | ||
| }, | ||
| "tags": [ | ||
| "hide-input" | ||
| ] | ||
| }, | ||
| "outputs": [], | ||
| "source": [ | ||
| "from helper_functions.mentimeter import Mentimeter" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": 2, | ||
| "metadata": { | ||
| "editable": true, | ||
| "slideshow": { | ||
| "slide_type": "" | ||
| }, | ||
| "tags": [ | ||
| "hide-input" | ||
| ] | ||
| }, | ||
| "outputs": [ | ||
| { | ||
| "data": { | ||
| "text/html": [ | ||
| "<div style='width:100%; height:40vh;'> <iframe src=https://www.mentimeter.com/app/presentation/al3bon1eofr38siunek3o1ykwqqkf18w height=100% width=90%></iframe> </div>" | ||
| ], | ||
| "text/plain": [ | ||
| "<IPython.core.display.HTML object>" | ||
| ] | ||
| }, | ||
| "execution_count": 2, | ||
| "metadata": {}, | ||
| "output_type": "execute_result" | ||
| } | ||
| ], | ||
| "source": [ | ||
| "Mentimeter(result ='https://www.mentimeter.com/app/presentation/al3bon1eofr38siunek3o1ykwqqkf18w'\n", | ||
| " ).show()" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "metadata": { | ||
| "editable": true, | ||
| "slideshow": { | ||
| "slide_type": "" | ||
| }, | ||
| "tags": [] | ||
| }, | ||
| "source": [ | ||
| "<br>\n", | ||
| "\n", | ||
| "----------\n", | ||
| "<br>" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "metadata": { | ||
| "editable": true, | ||
| "scrolled": true, | ||
| "slideshow": { | ||
| "slide_type": "" | ||
| }, | ||
| "tags": [] | ||
| }, | ||
| "source": [ | ||
| "## Citations\n", | ||
| "Cumby, James & Degiacomi, Matteo & Erastova, Valentina & Guven, Jonna & Hobday, Claire & Mey, Antonia & Pollak, Hannah & Szabla, Rafał. (2023). Course Materials for an Introduction to Data-Driven Chemistry. Journal of Open Source Education. 6. 192. 10.21105/jose.00192. " | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [] | ||
| } | ||
| ], | ||
| "metadata": { | ||
| "kernelspec": { | ||
| "display_name": "Python 3 (ipykernel)", | ||
| "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": "3.9.6" | ||
| }, | ||
| "toc": { | ||
| "base_numbering": 1, | ||
| "nav_menu": {}, | ||
| "number_sections": false, | ||
| "sideBar": true, | ||
| "skip_h1_title": true, | ||
| "title_cell": "Table of Contents", | ||
| "title_sidebar": "Contents", | ||
| "toc_cell": false, | ||
| "toc_position": {}, | ||
| "toc_section_display": true, | ||
| "toc_window_display": false | ||
| } | ||
| }, | ||
| "nbformat": 4, | ||
| "nbformat_minor": 4 | ||
| } |
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