{ "cells": [ { "cell_type": "markdown", "id": "c6866476548935c6", "metadata": {}, "source": [ "# Quantum ESPRESSO (QE)\n", "\n", "$$\n", "\\begin{align}\n", "(a + b)^2 &= (a + b)(a + b) \\\\\n", " &= a^2 + 2ab + b^2\n", "\\end{align}\n", "$$" ] }, { "cell_type": "code", "id": "e5300cb16f99c45f", "metadata": { "collapsed": true }, "source": [ "import string\n", "\n", "import numpy as np\n", "import pandas as pd\n", "\n", "\n", "rng = np.random.default_rng(seed=15485863)\n", "data = rng.standard_normal((100, 26))\n", "df = pd.DataFrame(data, columns=list(string.ascii_lowercase))\n", "df" ], "outputs": [], "execution_count": null } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 2 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython2", "version": "2.7.6" } }, "nbformat": 4, "nbformat_minor": 5 }