{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Tutorials\n", "\n", "These notebooks contain live, interactive versions of the [floWeaver](http://floweaver.readthedocs.io/en/latest/) tutorials:\n", "\n", "1. [Quickstart](./quickstart.ipynb)\n", "2. [Dimension tables: efficiently adding details of processes and flows](./dimension-tables.ipynb)\n", "3. [System boundaries](./system-boundary.ipynb)\n", "4. [Categorical and quantified colours](./colour-scales.ipynb)\n", "\n", "If you are new to using Jupyter notebooks, the main thing to know is:\n", "- the notebook is a series of *cells*, which contain code and show the results below\n", "- you need to step through the cells running them in sequence, using either the \"play\" button on the toolbar, or by pressing `Shift + Enter`.\n", "- you can edit the code and run the cell again to see the effect of changes\n", "- the history of code that you've run accumulates from cell to cell, but you can reset to a clean slate by restarting the \"kernel\" from the menubar\n", "\n", "For more details see the [Jupyter notebook tutorials](http://nbviewer.jupyter.org/github/ipython/ipython/blob/3.x/examples/Notebook/Index.ipynb) or one of the many other tutorials available." ] } ], "metadata": { "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": "3.6.3" } }, "nbformat": 4, "nbformat_minor": 2 }