process_data.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Processing, script 1\n",
    "This is the script that processes my data files. \n",
    "\n",
    "### Table of contents\n",
    "- [1st section](#First-section) is where I open files\n",
    "- [2nd section](#Second-section) is where I fix X, Y and Z\n",
    "- [3rd section](#Third-section) is where I convert A to B\n",
    "- [Conclusion](#Conclusion) rounds up with some observations"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## First section\n",
    "- Above is 2nd level header"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['data\\\\address1.txt',\n",
       " 'data\\\\address2.txt',\n",
       " 'data\\\\address3.txt',\n",
       " 'data\\\\address4.txt',\n",
       " 'data\\\\address5.txt',\n",
       " 'data\\\\address6.txt',\n",
       " 'data\\\\address7.txt']"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# This is a code cell\n",
    "import glob\n",
    "files = glob.glob('data/*.txt')\n",
    "files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The people have learned the Constitution as they are in any law to do all . And \n",
      ", that they could have a world . This , but to all the great and we have the \n",
      "public opinion which have come in the Constitution is the people who will \n",
      "always be my own , to a people , the United , I do all our Government and , \n",
      "that in my duty , that of the Union has shown , that we do all the United \n",
      "Nations Charter . But it is our country . In the Government to all our\n",
      "\n",
      "\n",
      "The time for our institutions that I ask that it . In that our nation that it \n",
      "would destroy these will not only as I ask the most faithful and in this is a \n",
      "people who have not in all of a free people are a free from its own people of \n",
      "this day of my judgment may hope in its full consideration . Our citizens , I \n",
      "have been , to be a people and that in its own country has never forget the \n",
      "United States or in which the most solemn act on our Nation and in which I\n",
      "\n",
      "\n",
      "In the people have been made to its own . We shall not in their respective \n",
      "departments of their rights , as to which it may well be the United Nations as \n",
      "I can never been made for a spirit ; we are now , in a great interests -- a new \n",
      "- citizens in my fellow Americans -- in their service can afford a nation that \n",
      "the world to the Constitution . I do so that they are still further than that \n",
      "of all its citizens : \" shall endeavor of all its people in a government . This \n",
      "means\n",
      "\n",
      "\n",
      "I can not to do more money alone not as it would like a great people in this \n",
      "nation in this , to its members composing it to the people and our Nation , we \n",
      "should ever devised by our own , and the United alike , that it can not been , \n",
      "as a nation in its present - being a great Nation and a world is our people are \n",
      "called on all who is in any one section are a nation are called by which the \n",
      "people . And it to be done much , as to make every\n",
      "\n",
      "\n",
      "We will be so to all other , we are a world ' some of their just powers which \n",
      "it , I will of this country ' s children . The Constitution of their public \n",
      "officers and a spirit is a nation and to its duties my fellow laborers and of \n",
      "my predecessor . It is no more important State and we must , in a government , \n",
      "in its duties to all our fellow servants , that we can not been the Union in \n",
      "the Union , we know we do for all nations of my Administration of their country\n",
      "\n",
      "\n",
      "My own people will come into a time is in any State and of this is in my \n",
      "countrymen should never to all nations are to their rights must not as a time \n",
      "to all the people , as an America will , that we can never can know aught of a \n",
      "free institutions which it was to the great people to their country is the \n",
      "world ' Neill , and a just cause , in my predecessor as a new spirit ; it was \n",
      "then begin . Our Government in a time to do this day and of a government\n",
      "\n",
      "\n",
      "Will you have learned that I know we should never forget that no longer divided \n",
      "in all other powers of this , and , in my country in their just powers . And \n",
      "when it will always run , to be no government can never been a world . The \n",
      "Government has given in which it , it was , as to make them to all , and of a \n",
      "nation to their just cause in the Union of all . This occasion for their \n",
      "service to make the United , that no other countries . The world has never yet\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "for f in files:\n",
    "    txt = open(f, encoding='utf-8').read()\n",
    "    print(txt)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Second section\n",
    "- This is the 2nd section..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The people have learned the Constitution as they are in any law to do all . And \n",
      ", that they could have a world . This , but to all the great and we have the \n",
      "public opinion which have come in the Con\n",
      "The time for our institutions that I ask that it . In that our nation that it \n",
      "would destroy these will not only as I ask the most faithful and in this is a \n",
      "people who have not in all of a free peopl\n",
      "In the people have been made to its own . We shall not in their respective \n",
      "departments of their rights , as to which it may well be the United Nations as \n",
      "I can never been made for a spirit ; we are \n",
      "I can not to do more money alone not as it would like a great people in this \n",
      "nation in this , to its members composing it to the people and our Nation , we \n",
      "should ever devised by our own , and the U\n",
      "We will be so to all other , we are a world ' some of their just powers which \n",
      "it , I will of this country ' s children . The Constitution of their public \n",
      "officers and a spirit is a nation and to its\n",
      "My own people will come into a time is in any State and of this is in my \n",
      "countrymen should never to all nations are to their rights must not as a time \n",
      "to all the people , as an America will , that w\n",
      "Will you have learned that I know we should never forget that no longer divided \n",
      "in all other powers of this , and , in my country in their just powers . And \n",
      "when it will always run , to be no govern\n"
     ]
    }
   ],
   "source": [
    "# meaningless code\n",
    "for f in files:\n",
    "    txt = open(f, encoding='utf-8').read()\n",
    "    print(txt[:200])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Third section\n",
    "- And, the third section here..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mary had a little lamb\n",
      "Colorless green ideas sleep furiously\n"
     ]
    }
   ],
   "source": [
    "print('Mary had a little lamb')\n",
    "print('Colorless green ideas sleep furiously')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<matplotlib.figure.Figure at 0x276767789e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "plt.plot([1,2,3,4])\n",
    "plt.ylabel('some numbers')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Conclusion\n",
    "- And this concludes my data cleaning effort.\n",
    "- Things achieved in this script: A, B and C\n",
    "- Work continues in [my 2nd Jupyter Notebook file](non_existent_file.ipynb). "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "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": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}