my-awesome-project/run.ipynb

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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "a84efd26-a5f9-416b-b877-d5db19361ff1",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"import numpy as np"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "3217d38d-20cd-4135-b638-5ab85ff9a471",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"array([1., 1., 1., 1., 1., 1., 1., 1., 1., 1.])"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"np.ones(10)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "d30f6d6f-c798-49f0-bd58-c6707e5169de",
"metadata": {},
"outputs": [],
"source": []
}
],
"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": "3.10.9"
}
},
"nbformat": 4,
"nbformat_minor": 5
}