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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"# Standard data science libraries\n", | ||
"import pandas as pd\n", | ||
"import numpy as np\n", | ||
"from scipy import stats\n", | ||
"import featuretools as ft\n", | ||
"# Visualization\n", | ||
"import matplotlib.pyplot as plt\n", | ||
"import seaborn as sns\n", | ||
"plt.style.use('bmh')\n", | ||
"# Options for pandas\n", | ||
"pd.options.display.max_columns = 20\n", | ||
"# Display all cell outputs\n", | ||
"from IPython.core.interactiveshell import InteractiveShell\n", | ||
"InteractiveShell.ast_node_interactivity = 'all'\n" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"# Standard data science libraries\n", | ||
"import pandas as pd\n", | ||
"import numpy as np\n", | ||
"from scipy import stats\n", | ||
"import featuretools as ft\n", | ||
"# Visualization\n", | ||
"import matplotlib.pyplot as plt\n", | ||
"import seaborn as sns\n", | ||
"plt.style.use('bmh')\n", | ||
"# Options for pandas\n", | ||
"pd.options.display.max_columns = 20\n", | ||
"# Display all cell outputs\n", | ||
"from IPython.core.interactiveshell import InteractiveShell\n", | ||
"InteractiveShell.ast_node_interactivity = 'all'\n" | ||
] | ||
} | ||
], | ||
"metadata": { | ||
"kernelspec": { | ||
"display_name": "Python 3", | ||
"language": "python", | ||
"name": "python3" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 2 | ||
} |
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Original file line number | Diff line number | Diff line change |
---|---|---|
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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"%%html\n", | ||
"<script>\n", | ||
" // AUTORUN ALL CELLS ON NOTEBOOK-LOAD!\n", | ||
" require(\n", | ||
" ['base/js/namespace', 'jquery'], \n", | ||
" function(jupyter, $) {\n", | ||
" $(jupyter.events).on(\"kernel_ready.Kernel\", function () {\n", | ||
" jupyter.actions.call('jupyter-notebook:run-all-cells-below');\n", | ||
" jupyter.actions.call('jupyter-notebook:save-notebook');\n", | ||
" });\n", | ||
" }\n", | ||
" );\n", | ||
"</script>" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"print('fde rw s')" | ||
] | ||
} | ||
], | ||
"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": "3.7.3" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 2 | ||
} |
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