teste-checkpoint.ipynb
36.8 KB
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"4"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"2+2"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"import matplotlib.pyplot as plt\n",
"import numpy as np"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"x = np.linspace(-6, 6)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"y = np.sin(x)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[<matplotlib.lines.Line2D at 0x7f2d55566b50>]"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.plot(x,y)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3.9.15 ('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": "3.9.15"
},
"orig_nbformat": 4,
"vscode": {
"interpreter": {
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