Files

98 lines
23 KiB
Plaintext
Executable File

{
"cells": [
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"# This is my coding exercise\n"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Hello World 2!\n"
]
}
],
"source": [
"print(\"Hello World 2!\")"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[1, 2, 3]\n"
]
}
],
"source": [
"lst = [1, 2, 3]\n",
"\n",
"print(lst)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.pyplot as plt\n",
"\n",
"\n",
"plt.plot([1, 2], [1, 2])\n",
"plt.show()"
]
}
],
"metadata": {
"interpreter": {
"hash": "860d2b4667de70e92398596be10ad9f3e8ceed469e8d76191a6e4c4a6fcf4afd"
},
"kernelspec": {
"display_name": "Python 3.9.7 64-bit ('base': conda)",
"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": "3.9.13"
},
"orig_nbformat": 4
},
"nbformat": 4,
"nbformat_minor": 2
}