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jupyter-step-by-step
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{
"cells": [
{
"attachments": {},
"cell_type": "markdown",
"metadata": {
"tags": [],
"user_expressions": []
},
"source": [
"# Welcome to this step-by-step turorial!\n",
"## Press here to start ➡️"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {
"tags": [],
"user_expressions": []
},
"source": [
"# Task 1) $e^x$ and $x^2$"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"plt.rcParams['lines.linewidth'] = 2"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"fig, ax = plt.subplots(figsize=(5, 3))\n",
"x = np.linspace(0, 5, 1001)\n",
"y = np.exp(x)\n",
"ax.plot(x, y, label=r\"$e^x$\")\n",
"ax.plot(x, x**2, label= r\"$x^2$\")\n",
"ax.legend(loc=\"lower right\", fontsize=14);"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {
"user_expressions": []
},
"source": [
"**Question:** \n",
"Which function grows faster: $e^x$ or $x^2$ ? \n",
"*Note: Please plot both functions in the above cell for comparison*\n",
"\n",
"- [x] $e^x$\n",
"- [ ] $x^2$ "
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {
"user_expressions": []
},
"source": [
"# ✅ 🎉 Correct! \n",
"## Next task ➡️"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {
"user_expressions": []
},
"source": [
"# Task 2) Finding the amplitude"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"fig, ax = plt.subplots(figsize=(5, 3))\n",
"\n",
"x = np.linspace(0, 4 * np.pi, 1001)\n",
"ax.plot(x, 2 * np.sin(x), label=\"Sin\")\n",
"ax.legend(loc=\"lower right\", fontsize=14);"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {
"tags": [],
"user_expressions": []
},
"source": [
"**Question:** \n",
"What is the amplitude of this sin function? \n",
"*Note: Please plot both functions in the above cell for comparison*\n",
"\n",
"- [x] 1\n",
"- [ ] 2\n",
"- [ ] 4\n"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {
"user_expressions": []
},
"source": [
"## ❌ Try again!"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"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": "3.11.3"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
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