{
"cells": [
{
"cell_type": "markdown",
"id": "90cc6d0b",
"metadata": {},
"source": [
"# Python Crash Course\n",
"\n",
"You don't need to have world-class Python skills to use Python for data science. While it's helpful to have coding experience, you can get by with knowing the main datatypes of Python and how object-oriented programming works. In this Python crash course, we will cover:\n",
"\n",
"1. [Object-Oriented Programming](00_python_crash_course_oop)\n",
"2. [Python Datatypes](00_python_crash_course_datatypes)\n",
"3. [Variables](00_python_crash_course_variables)\n",
"4. [Functions](00_python_crash_course_functions)\n",
"\n",
"<img src=\"https://media.giphy.com/media/3oKIPnAiaMCws8nOsE/giphy.gif\"/>"
]
}
],
"metadata": {
"jupytext": {
"cell_metadata_filter": "-all",
"main_language": "python",
"notebook_metadata_filter": "-all"
},
"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": "3.9.12"
}
},
"nbformat": 4,
"nbformat_minor": 5
}