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| author | Shivesh Mandalia <shivesh.mandalia@outlook.com> | 2020-02-29 02:43:35 +0000 |
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| committer | Shivesh Mandalia <shivesh.mandalia@outlook.com> | 2020-02-29 02:43:35 +0000 |
| commit | def104f19f571bfd67de5ecd3b37ed2e4bb7c5d8 (patch) | |
| tree | 7afcf8f61c8d71acc30a9bfac474e680c1d2cb40 /examples/Untitled.ipynb | |
| parent | b337b7a457341999f97a188945c2c4cc03f7b11c (diff) | |
| download | GolemFlavor-def104f19f571bfd67de5ecd3b37ed2e4bb7c5d8.tar.gz GolemFlavor-def104f19f571bfd67de5ecd3b37ed2e4bb7c5d8.zip | |
python3 support
Diffstat (limited to 'examples/Untitled.ipynb')
| -rw-r--r-- | examples/Untitled.ipynb | 61 |
1 files changed, 61 insertions, 0 deletions
diff --git a/examples/Untitled.ipynb b/examples/Untitled.ipynb new file mode 100644 index 0000000..cf5e123 --- /dev/null +++ b/examples/Untitled.ipynb @@ -0,0 +1,61 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "%matplotlib inline\n", + "%load_ext autoreload\n", + "%autoreload 2" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "from __future__ import absolute_import, division, print_function" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# GolemFlavor Basic Example" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "In this example, we will generate a fake measured flavour composition using a multivariate Gaussian distribution" + ] + } + ], + "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": "3.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} |
