2020-prototyping-notebooks/notes-in-a-network.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Notes in a Network"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is a notebook. A notebook is a sort of \"active document\" that allows you to combine *text* and *executable code*. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "These notebooks are a starting point to approach re-publishing as a *practice*. A multi-dimensional attitude and methodology, which includes not only outputs but also sources, tools, process logs and more!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "words = ['notes', 'in', 'a', 'network']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "notes\n",
      "notes\n",
      "notes\n",
      "notes\n",
      "notes\n",
      "in\n",
      "in\n",
      "a\n",
      "network\n",
      "network\n",
      "network\n",
      "network\n",
      "network\n",
      "network\n",
      "network\n"
     ]
    }
   ],
   "source": [
    "for word in words:\n",
    "    for letter in word:\n",
    "        print(word)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Python"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The programming language that we will use is *Python*. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "la\n",
      "lala\n",
      "lalala\n",
      "lalalala\n",
      "lalalalala\n",
      "lalalalalala\n",
      "lalalalalalala\n",
      "lalalalalalalala\n",
      "lalalalalalalalala\n"
     ]
    }
   ],
   "source": [
    "for i in range(10):\n",
    "    print(i * 'la')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}