{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "# Exercises\n", "\n", "## exercise 0.1\n", "\n", "* Create a new cell in the jupyter notebook.\n", "* Set it as a markdown cell.\n", "* Write your favorite quote in there and \"execute the cell\".\n", "\n", "\n", "\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Gracieux : « aimez-vous à ce point les oiseaux\n", "\n", "Que paternellement vous vous préoccupâtes\n", "\n", "De tendre ce perchoir à leurs petites pattes ? »" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## exercise 0.2\n", "\n", "* Create a new cell in the jupyter notebook.\n", "* Set it as a code cell.\n", "* Print \"Hello, world!\" to the screen (remember to execute the cell to actually activate your code)." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Hello, world!\n" ] } ], "source": [ "print(\"Hello, world!\")" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "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": "3.7.4" } }, "nbformat": 4, "nbformat_minor": 2 }