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"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "11f46a57",
"metadata": {},
"outputs": [],
"source": [
"# First test notebook"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "a30b55e3",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[5 7 9]\n"
]
}
],
"source": [
"import numpy as np\n",
"\n",
"# Define two arrays\n",
"array1 = np.array([1, 2, 3])\n",
"array2 = np.array([4, 5, 6])\n",
"\n",
"# Add the arrays together\n",
"result = array1 + array2\n",
"\n",
"# Print the result\n",
"print(result)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "f9a12c99",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "base",
"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": "3.11.5"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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