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@randName
Created April 4, 2019 02:03
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Colaboratory Template
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{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "template.ipynb",
"version": "0.3.2",
"provenance": [],
"collapsed_sections": [],
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"accelerator": "GPU"
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/randName/ebb80e63bba01d47db8b333804b3c702/template.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"metadata": {
"id": "FpLGYMZl3MzW",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"## Imports and Utilities"
]
},
{
"metadata": {
"id": "54CRQl-uTMfB",
"colab_type": "code",
"colab": {}
},
"cell_type": "code",
"source": [
"#@title Load Google Drive (on new instance) { display-mode: \"form\" }\n",
"MOUNT_POINT = '/mnt/gdrive' #@param {type:\"string\"}\n",
"DRIVE_PATH = '' #@param {type:\"string\"}\n",
"PROJECT_DIR = 'data' #@param {type:\"string\"}\n",
"ln_path = '%s/My\\ Drive/%s' % (MOUNT_POINT, DRIVE_PATH)\n",
"\n",
"directories = !ls -l\n",
"\n",
"if directories.grep(PROJECT_DIR):\n",
" print('%s already loaded' % PROJECT_DIR)\n",
"else:\n",
" from google.colab import drive\n",
" drive.mount(MOUNT_POINT)\n",
" !ln -s $ln_path $PROJECT_DIR"
],
"execution_count": 0,
"outputs": []
},
{
"metadata": {
"colab_type": "code",
"cellView": "form",
"id": "9J8bYU6OC86K",
"colab": {}
},
"cell_type": "code",
"source": [
"#@title Core\n",
"\n",
"%matplotlib inline\n",
"\n",
"import numpy as np\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"\n",
"\n",
"class AttrDict(dict):\n",
" \"\"\"Convenience class\"\"\"\n",
" __getattr__ = dict.__getitem__\n",
" __setattr__ = dict.__setitem__\n",
" __delattr__ = dict.__delitem__\n",
"\n",
"\n",
"def show_preview(data, run):\n",
" return run(data) if data is not None else 'No data selected'"
],
"execution_count": 0,
"outputs": []
},
{
"metadata": {
"id": "fW3q9rV0DMPw",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"## `[Actual Project]`"
]
},
{
"metadata": {
"id": "Ce2VvARrDUWQ",
"colab_type": "code",
"colab": {}
},
"cell_type": "code",
"source": [
""
],
"execution_count": 0,
"outputs": []
}
]
}
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