{ "cells": [ { "cell_type": "markdown", "id": "9965f1b0", "metadata": { "nbgrader": { "grade": false, "grade_id": "cell-3b587ecf818e3119", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "source": [ "# Packages and NumPy\n", "\n", "```{admonition} Interactive page\n", ":class: warning, dropdown\n", "This is an interactive book page. Press launch button at the top right side.\n", "```\n", "\n", "In this chapter, we will first learn what Python **packages** are, why they are useful, and how to use them in practice. \n", "We will next focus on NumPy, a fundamental package for **scientific computing** in Python, and explore how to use it in nanobiology.\n", "\n", "```{admonition} Just for fun \n", ":class: note\n", "You will learn on the next page what the `import` function does. For now, if you wish, run the code cell below and check its output, just for fun. If it seems random, ask AI to get some context.\n", "```\n" ] }, { "cell_type": "code", "execution_count": null, "id": "90279314", "metadata": { "tags": [ "remove-output" ] }, "outputs": [], "source": [ "import this" ] }, { "cell_type": "markdown", "id": "69d3f53f", "metadata": {}, "source": [ "\n", "```{figure} images/map7.png\n", "---\n", "height: 400px\n", "name:\n", "---\n", "```" ] } ], "metadata": { "jupytext": { "formats": "ipynb,md" }, "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" } }, "nbformat": 4, "nbformat_minor": 5 }