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{
"cells": [
{
"cell_type": "markdown",
"id": "6541d0bd-4ae9-4733-809e-b4906d27ed7b",
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": []
},
"source": [
"# Introduction to Python\n",
"\n",
"Welcome to the course notebook.\n",
"\n",
"In this lesson you will learn:\n",
"\n",
"- Variables\n",
"- Loops\n",
"- Functions\n",
"- Basic problem solving\n",
"\n",
"Run each code cell and experiment with the examples."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "a560e020-204c-4edc-92d2-1149d05270a5",
"metadata": {},
"outputs": [],
"source": [
"name = \"Alice\"\n",
"age = 21\n",
"\n",
"print(f\"Hello {name}, you are {age} years old.\")"
]
},
{
"cell_type": "markdown",
"id": "9d40ccd6-428c-4522-8b1a-d37807cde3cd",
"metadata": {},
"source": [
"## Loops\n",
"\n",
"Loops allow us to repeat actions."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "9272f123-5534-465f-b12e-6a6183d0d895",
"metadata": {},
"outputs": [],
"source": [
"for i in range(5):\n",
" print(f\"Iteration {i}\")"
]
},
{
"cell_type": "markdown",
"id": "da7dfea9-60c1-4a2e-b664-a41c0e5aa5f1",
"metadata": {},
"source": [
"## Functions\n",
"\n",
"Functions help organize code into reusable blocks."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "c3b50329-b0f4-4a60-832d-65b003377838",
"metadata": {},
"outputs": [],
"source": [
"def square(x):\n",
" return x * x\n",
"\n",
"square(5)"
]
},
{
"cell_type": "markdown",
"id": "87d1c1e8-9cfc-4a0e-8754-5c46f18e4417",
"metadata": {},
"source": [
"## Exercise\n",
"\n",
"Create a function called `cube(x)` that returns the cube of a number.\n",
"\n",
"Test it with:\n",
"\n",
"```python\n",
"cube(3)\n",
"```\n",
"\n",
"Expected result:\n",
"27"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "06d41b40-c13c-483d-b12e-403fde15d1c8",
"metadata": {},
"outputs": [],
"source": [
"def cube(x):\n",
" return x ** 3\n",
"\n",
"cube(3)"
]
}
],
"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": "3.11.6"
}
},
"nbformat": 4,
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}