heplesser · September 5, 2013 11:52
diff --git a/INF100_H13_F01 b/INF100_H13_F01
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      "# INF100: Prinsipper i informasjonsbehandling #\n",
      "\n",
      "## Fagl\u00e6rer og kontaktinformasjon ##\n",
      "| Emneansvarlig | Hans Ekkehard Plesser |\n",
      "|-|-|\n",
      "| Epost | [[email protected]](mailto:[email protected]?subject=INF100) |\n",
      "| Kontor | TF-bygget, rom TF136 |\n",
      "| Kontortid | Mandag 09.00-09.30 |\n",
      "\n",
      "## I INF100 skal du l\u00e6re ##\n",
      "- \u00e5 bruke datamaskiner ved \u00e5 skrive enkle programmer\n",
      "- hvordan datamaskiner og internett fungerer\n",
      "- om muligheter, ulemper og risiko i dataverden\n",
      "\n",
      "Husk at INF100 er et innf\u00f8rende emne p\u00e5 bare 5 studiepoeng: Det gir en *innf\u00f8ring*!\n",
      "\n",
      "## Pensum (med forbehold om endringer) ##\n",
      "\n",
      "|Nr|Dato|Uke|Tema|Materiale / Oppgavestilling|\n",
      "|-:|-|-|-|-|\n",
      "|1|05.09.|36|Innf\u00f8ring, Praktisk info, Python, Turtle Graphics|Installasjonsveiledning: Se Fronter|\n",
      "|2|12.09.|37|Repetitive oppgaver: L\u00f8kker, Funksjoner, Rekursjon||\n",
      "|3|19.09.|38|Lindemayersystemer: Rekursiv grafikk||\n",
      "| |**20.09.**|  |**Innleveringfrist Obligatorisk innlevering 1: kl 12.00**| Se Fronter eller [Notebook med oppgavene](http://nbviewer.ipython.org/6443045)|\n",
      "|4|26.09.|39|PyLab: Beregninger og visualisering||\n",
      "| |03.10.|40|*Forelesningen utg\u00e5r*||\n",
      "| |**04.10.**|  |**Innleveringfrist Obligatorisk innlevering 2: kl 12.00**||\n",
      "|5|10.10.|41|Innlesing, filtrering og visualisering av data||\n",
      "|6|17.10.|42|Enkle numeriske algoritmer||\n",
      "| |**18.10.**|  |**Innleveringfrist Obligatorisk innlevering 3: kl 12.00**||\n",
      "|7|24.10.|43|Datakilder og grunnleggende dataformater||\n",
      "|8|31.10.|44|Databehandling med Excel||\n",
      "| |**01.11.**|  |**Innleveringfrist Obligatorisk innlevering 4: kl 12.00**||\n",
      "|9|07.11.|45|Datamaskiner: Grunnlag og historie||\n",
      "|10|14.11.|46|Gjesteforelesning: sikkerhet/personvern||\n",
      "| |**15.11.**|  |**Innleveringfrist Obligatorisk innlevering 5: kl 12.00**||\n",
      "|11|21.11.|47|Programvare: Grunnlag og historie||\n",
      "|12|28.11.|48|Internett: Grunnprinsipper og sikkerhet||\n",
      "| |**29.11.**|  |**Innleveringfrist Obligatorisk innlevering 6: kl 12.00**||\n",
      "|13|05.12.|49|Sikkerhet: kryptering, hashing, passord||\n",
      "|  |**17.12.**|**51**|**Eksamen** | |\n",
      "\n",
      "## L\u00e6rebok ##\n",
      "\n",
      "- Det er ingen fast pensumbok i INF100\n",
      "- Lenker til relevant material legges ut med forelesningene\n",
      "- Hans Petter Langtangen, *A Primer on Scientific Programming with Python*, anbefales. I INF100 skraper vi bare p\u00e5 toppen, boken brukes som pensumbok i INF120. Du kan **laste ned boken gratis** fra UMBs nett ([Primer p\u00e5 SpringerLink](http://link.springer.com/book/10.1007/978-3-642-30293-0/page/1)).\n",
      "\n",
      "## Obligatorisk aktivitet ##\n",
      "\n",
      "**Obligatorisk aktivitet m\u00e5 v\u00e6re godkjent for at du skal f\u00e5 karakter i INF100.**\n",
      "\n",
      "### Prinsipper ###\n",
      "1. Obligatorisk aktivitet fra tidligere \u00e5r godkjennes ikke.\n",
      "1. Det blir seks innleveringer med tre oppgaver hver, i alt alts\u00e5 18 oppgaver.\n",
      "1. I tillegg kommer mer krevende bonusoppgaver for deg som \u00f8nsker en utfordring. Bonusoppgavene krever kunnskap utover det som ble gjennomg\u00e5tt i forelesningene og skal stimulere deg til \u00e5 l\u00e6re deg mer om programmering p\u00e5 egenh\u00e5nd. Godkjennte bonusoppgaver teller som vanlige oppgaver.\n",
      "1. **Minst 14 av 18 oppgaver m\u00e5 v\u00e6re godkjent** for at du skal kunne g\u00e5 opp til eksamen.\n",
      "1. Innleveringen vil bli vurdert som den er n\u00e5r innleveringsfristen g\u00e5r ut. Du kan ikke levere om.\n",
      "1. **\u00c5 levere andres arbeid som ditt eget er fusk og vil bli anmeldt.**\n",
      "\n",
      "### Besvarelse og innlevering ###\n",
      "1. Oppgavene legges ut p\u00e5 Fronter og [NBviewer](http://nbviewer.ipython.org) som IPython Notebook.\n",
      "1. Alle svar skal f\u00f8res i Notebooken, se detaljerte instrukser i oppgaven!\n",
      "1. Du m\u00e5 legge inn navnet ditt og epostadressen din i Notebooken p\u00e5 riktig m\u00e5te!\n",
      "1. Som besvarelse laster du Notebook-filen (`INF100_H13_Oblig?....ipynb`) **opp til oppgavesiden p\u00e5 Fronter** innen innleveringsfristen. \n",
      "\n",
      "## Ukens gang ##\n",
      "\n",
      " - Forelesning p\u00e5 torsdag: du l\u00e6rer noe nytt\n",
      " - \u00d8vinger mandag-torsdag: du \u00f8ver det du har l\u00e6rt\n",
      " - Innlevering p\u00e5 fredag: du viser hva du har l\u00e6rt (annenhver uke)\n",
      " \n",
      "## \u00d8vingsgrupper ##\n",
      "\n",
      "|Gruppe|Dag|Timer|Rom|Hjelpel\u00e6rer|\n",
      "|-:|-|-:|-:|-|\n",
      "|1|Mandag|10-12|S120|Sigbj\u00f8rn Grini|\n",
      "|2||12-14|S120|Jonas Nilsen|\n",
      "|3||14-16|TF01|Jonas Nilsen|\n",
      "|4|Tirsdag|12-14|S120|Jonas Nilsen|\n",
      "|5|Onsdag|8-10|TF01|Toril Rygg|\n",
      "|6||10-12|TF01|Toril Rygg|\n",
      "|7||14-16|TF01|Sigbj\u00f8rn Grini|\n",
      "|8|Torsdag|12-14|TF01|Toril Rygg|\n",
      "\n",
      " - Du m\u00e5 **melde deg opp selv**\n",
      " - Frist for oppmelding: **fredag, 6. september, kl 12.00**\n",
      " - Nettside for oppmelding: [bit.ly/inf100](http://bit.ly/inf100)\n",
      " - Gruppeinndelingen legges ut p\u00e5 Fronter innen fredag kveld\n",
      " - \u00d8vingsgruppene begynner mandag 9. september\n",
      " \n",
      "## Eksamen ##\n",
      "\n",
      "- **Tirsdag 17. desember kl 14-17** (med forbehold om endring, sjekk StudWeb!)\n",
      "- Flervalgseksamen\n",
      "- Uforming og innholdet blir **helt annerledes enn i 2009-2012**\n",
      "- Eksempeleksamen kommer i oktober\n",
      "\n",
      "* * *\n"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "# Hvorfor skal du l\u00e6re \u00e5 programmere (litt)? #\n",
      "\n",
      "- Du l\u00e6rer \u00e5 ta kontroll over datamaskinen ([L\u00e6r kidsa koding!](http://www.kidsakoder.no/))\n",
      "- Du blir kjent meg verkt\u00f8y for \u00e5 utnytte data tilgjengelig i verden, f eks\n",
      "  - v\u00e6rdata: [Meteorologisk institutts eklima](http://eklima.met.no)\n",
      "  - togforsinkelser: [SZ Zugmonitor](http://zugmonitor.sueddeutsche.de) og [r\u00e5data fra OpenDataCity](http://www.opendatacity.de/zugmonitor-api/)\n",
      "- Du kan gj\u00f8re ting som er vanskelige \u00e5 f\u00e5 til med bare Excel (og f\u00e5r grunnlag for VBA programmering i Excel)\n",
      "- Du l\u00e6rer \u00e5 utvikle probleml\u00f8sningsstrategier\n",
      "\n",
      "** Husk: Viten er makt (Francis Bacon, 1597) **"
     ]
    },
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     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "* * *\n",
      "\n",
      "# Noen enkle m\u00e5ter \u00e5 starte p\u00e5 #\n",
      "\n",
      "De siste \u00e5rene er det kommet en del spennende tilbud p\u00e5 nettet, som gir \"lavterskeltilbud\" for \u00e5 komme i gang med programmering. Her er noen eksempler:\n",
      "\n",
      "- [Blockly](https://code.google.com/p/blockly/)\n",
      "- [MIT Scratch](http://scratch.mit.edu/)\n",
      "- [MIT App Inventor](http://appinventor.mit.edu/)\n",
      "\n",
      "- [Blockly Maze](http://blockly-demo.appspot.com/static/apps/maze/index.html) skal dere arbeide med i den f\u00f8rste obligatoriske oppgaven\n",
      "- Jeg anbefaler sterkt at dere leker med andre Blockly og Scratch eksempler ogs\u00e5---og pr\u00f8v gjerne App Inventor (krever Android telefon)\n",
      "\n"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "* * *\n",
      "\n",
      "# Programmering i Python #\n",
      "\n",
      "## Hvorfor Python? ##\n",
      "\n",
      "- Programmeringsspr\u00e5k utviklet av [Guido van Rossum](http://en.wikipedia.org/wiki/Guido_van_Rossum) siden 1989\n",
      "- Utvikles n\u00e5 av Python Software Foundation ([www.python.org](http://www.python.org/))\n",
      "- Har meget bredt bruksomr\u00e5de for bl a webtjenester, dataforvaltning og vitenskap\n",
      "- Brukes og st\u00f8ttes av mange store organisasjoner, f eks Google og NASA\n",
      "- Python er et komplett programmeringsspr\u00e5k\n",
      "\n",
      "## Hvorfor PyLab og IPython? ##\n",
      "\n",
      "- PyLab kombinerer Python med grafikkbiblioteket [Matplotlib](http://matplotlib.org) og numerikkpakken [NumPy](http://www.numpy.org) til et verkt\u00f8y for dataanalyse, visualisering og numeriske beregninger\n",
      "- PyLab omfatter ogs\u00e5 hele Python, s\u00e5 vi kan gj\u00f8re \"alt\"\n",
      "- PyLab er gratis og under kraftig utvikling\n",
      "- [IPython](http://www.ipython.org) gir oss et komfortablet brukergrensesnitt\n",
      "- Med IPython Notebooks (som dette) kan vi samle programkode, resultater og kommenterende tekst p\u00e5 ett sted\n",
      "- Alternativer:\n",
      "  - [R](http://www.r-project.org/): for statistiske beregninger, brukes i STAT100\n",
      "  - [Matlab](http://www.mathworks.com): kommersiell pakke, god numerikk og visualisering, mindre bred enn Python\n",
      "  - [GNU Octave](http://www.gnu.org/software/octave/): open source alternativ til Matlab\n",
      "  \n",
      "## Et PyLab Eksempel ##"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "x = linspace(0, 4*pi)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 6
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print x"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "[  0.           0.25645654   0.51291309   0.76936963   1.02582617\n",
        "   1.28228272   1.53873926   1.7951958    2.05165235   2.30810889\n",
        "   2.56456543   2.82102197   3.07747852   3.33393506   3.5903916\n",
        "   3.84684815   4.10330469   4.35976123   4.61621778   4.87267432\n",
        "   5.12913086   5.38558741   5.64204395   5.89850049   6.15495704\n",
        "   6.41141358   6.66787012   6.92432667   7.18078321   7.43723975\n",
        "   7.69369629   7.95015284   8.20660938   8.46306592   8.71952247\n",
        "   8.97597901   9.23243555   9.4888921    9.74534864  10.00180518\n",
        "  10.25826173  10.51471827  10.77117481  11.02763136  11.2840879\n",
        "  11.54054444  11.79700098  12.05345753  12.30991407  12.56637061]\n"
       ]
      }
     ],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "y = sin(x)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 3
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print y"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "[  0.00000000e+00   2.53654584e-01   4.90717552e-01   6.95682551e-01\n",
        "   8.55142763e-01   9.58667853e-01   9.99486216e-01   9.74927912e-01\n",
        "   8.86599306e-01   7.40277997e-01   5.45534901e-01   3.15108218e-01\n",
        "   6.40702200e-02  -1.91158629e-01  -4.33883739e-01  -6.48228395e-01\n",
        "  -8.20172255e-01  -9.38468422e-01  -9.95379113e-01  -9.87181783e-01\n",
        "  -9.14412623e-01  -7.81831482e-01  -5.98110530e-01  -3.75267005e-01\n",
        "  -1.27877162e-01   1.27877162e-01   3.75267005e-01   5.98110530e-01\n",
        "   7.81831482e-01   9.14412623e-01   9.87181783e-01   9.95379113e-01\n",
        "   9.38468422e-01   8.20172255e-01   6.48228395e-01   4.33883739e-01\n",
        "   1.91158629e-01  -6.40702200e-02  -3.15108218e-01  -5.45534901e-01\n",
        "  -7.40277997e-01  -8.86599306e-01  -9.74927912e-01  -9.99486216e-01\n",
        "  -9.58667853e-01  -8.55142763e-01  -6.95682551e-01  -4.90717552e-01\n",
        "  -2.53654584e-01  -4.89858720e-16]\n"
       ]
      }
     ],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plot(x, y)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 5,
       "text": [
        "[<matplotlib.lines.Line2D at 0x1074d1150>]"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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XZZfMzExt8uTJosuw2f79+7WYmBht0KBB2j333KNVVVWJLskmixYt\n0sLDw7WBAwdqDz/8sHbt2jXRJTVpxowZWs+ePTUvLy/N399fW7ZsmXb27Flt3LhxWnBwsJaUlKSd\nO3dOdJlNql//xx9/rAUFBWm9e/e+/v594oknRJfZJEv9rVu3vv73f7O+fftqZ8+ebfE6vDiLMcYM\nRL4pG4wxxuzGoc8YYwbCoc8YYwbCoc8YYwbCoc8YYwbCoc8YYwbCoc8YYwbCoc8YYwby/zmeQ0zO\ni1x3AAAAAElFTkSuQmCC\n",
       "text": [
        "<matplotlib.figure.Figure at 0x1070a37d0>"
       ]
      }
     ],
     "prompt_number": 5
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Vi kommer tilbake til PyLab for numeriske beregninger og plotting om et par uker.\n",
      "\n",
      "* * *"
     ]
    },
    {
     "cell_type": "heading",
     "level": 1,
     "metadata": {},
     "source": [
      "Programmering og Tegning med Turtle Graphics"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "- [Turtle Graphics](http://en.wikipedia.org/wiki/Turtle_graphics) ble utvilket av [Seymour Papert](http://en.wikipedia.org/wiki/Seymour_Papert) til programmeringsundervisning p\u00e5 60-tallet\n",
      "- Id\u00e9:\n",
      "  - Vi sender en skilpadde rundt p\u00e5 \"papiret\" (se bilder under)\n",
      "  - Skilpadden holder en pen, som tegner p\u00e5 papiret\n",
      "  - Skilpadden kan l\u00f8fte og senke pennen, samt endre fargen og bredden\n",
      "- [Offisiell Python Turtle Graphics dokumentasjon](http://docs.python.org/2.7/library/turtle.html) (ikke spesielt myntet p\u00e5 nybegynnere)"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from IPython.display import Image ; Image(filename='Figures/Turtle_draw.jpg') # Kilde: Wikimedia Commons"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "jpeg": 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arsD4dNsuG48mJ2UZRIAWVhI8hIHY16ZE0T9yTwluEzMyyOwcgEUY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vfMn5f6v5Y1+MW0mnHWIWtfq9+Utni1AenJ6Xrq3p8+SsyN8NRUZttScOUxlfCR/X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f4TvleUnKKEdwLJ9/Xy8u59B/0Z6DtAeBmx78gZcz335j+Lue8flL/wA5ka/5f0O48ueb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\nWrXgCaeIy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       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 11,
       "text": [
        "<IPython.core.display.Image at 0x1076c3c90>"
       ]
      }
     ],
     "prompt_number": 11
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "* * *\n",
      "\n",
      "## V\u00e5r f\u00f8rste tegning ##\n",
      "\n",
      "Marker cellen med koden under og trykk Shift-Enter!"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import turtle\n",
      "tor = turtle.Turtle()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 12
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Hva har vi gjort? ###\n",
      "\n",
      "1. Vi har lastet inn Python-komponenten `turtle`\n",
      "1. Vi har skapt en skilpadde og gitt Python beskjed om at den skal hete `tor`\n",
      "1. `tor` st\u00e5r midt p\u00e5 arket og ser mot h\u00f8yre\n",
      "\n",
      "NB: Av tekniske grunner \u00e5pnes \"arket\" skilpadden skal l\u00f8pe p\u00e5 i et annet vindu. Flytt nettleservinduet med Notebooken og vinduet som viser `tor` slik at de ikke overlapper, f\u00f8r du g\u00e5r til neste celle!"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "tor.forward(100)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 13
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Vi har gitt `tor` et kommando: han er g\u00e5tt 100 skritt frem og tegnet et strek underveis.\n",
      "\n",
      "Vi kan ogs\u00e5 legge flere kommandoer i en celle (trykk altid Shift-Enter for \u00e5 utf\u00f8re koden i en celle):"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "tor.right(60)\n",
      "tor.forward(200)\n",
      "tor.left(90)\n",
      "tor.forward(50)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 14
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Hvordan styrer vi skilpadden? ###\n",
      "\n",
      "1. Vi gir ett kommano (en instruksjon) ad gangen\n",
      "1. Hver instruksjon har f\u00f8lgende struktur\n",
      "        <skilpaddens navn>.<instruksjon>(<informasjon>)\n",
      "   - skilpaddens navn og instruksjonen forbindes med `.` (punktum)\n",
      "   - informasjonen som f\u00f8lger er avhengig av instruksjonen som gis, f eks\n",
      "     - `forward(100)`: informasjonen er skrittlengden (i piksel)\n",
      "     - `right(90)`: informasjonen er vinkelen (i grader)\n",
      "   - noen kommandoer trenger ingen informasjon, men parentesene m\u00e5 v\u00e6re med\n",
      "   - informasjonen som gis i parentesene kalles ogs\u00e5 for *argumenter*\n",
      "\n",
      "Her et eksempel som viser flere instruksjoner"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "tor.left(90)\n",
      "tor.forward(100)\n",
      "tor.up()         # l\u00f8ft pennen, neste kommando tegner ikke strek\n",
      "tor.forward(50)\n",
      "tor.down()       # senk pennen\n",
      "tor.forward(50)\n",
      "tor.left(60)\n",
      "tor.width(5)\n",
      "tor.color('blue')\n",
      "tor.forward(90)\n",
      "tor.color(1.0, 0.3, 0.8)\n",
      "tor.forward(70)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 19
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "#### Hva har vi gjort? ####\n",
      "\n",
      "1. `up()` og `down()` l\u00f8fter og senker pennen; det tegnes ikke noe s\u00e5 lenge pennen er oppe\n",
      "1. alt som kommer etter en `#` er en *kommentar*: informasjon for programmereren, som Python ignorerer\n",
      "1. `width()` kommandoen setter strekbredden\n",
      "1. `color()` kommandoen setter strekfargen; fargen oppgis enten\n",
      "   - som navn p\u00e5 engelsk (husk hermetegn rund navnet)\n",
      "   - som r\u00f8d, gr\u00f8nn og bl\u00e5 (rgb) fargeintensitet (mellom 0 og 1; bruk desimal*punkt*, ikke -komma)\n",
      "   \n",
      "### Hvilke kommandoer forst\u00e5r tor og hvilken informasjon trenger de? ###\n",
      "\n",
      "- For \u00e5 se hvilke kommandoer `tor` forst\u00e5r, g\u00e5 til en `In` celle, skriv inn (husk punktum!)\n",
      "        tor.\n",
      "  og trykk `Tab` (tabulator) tasten. Du f\u00e5r opp en rullegardin med kommandoer\n",
      "- Velg en kommando fra rullegardinen med Enter\n",
      "- For \u00e5 finne ut hva kommandoen gj\u00f8r, sett et sp\u00f8rsm\u00e5lstegn bak og trykk Shift-Enter"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "tor.backward?"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 20
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "- I hjelpevinduet som kommer opp viser `Definition` feltet hvordan kommandoen skal brukes\n",
      "- I hjelpevinduet for `backward()` kommandoen ser du f\u00f8lgende `Definition`\n",
      "        tor.backward(self, distance)\n",
      "- **Viktig**: `self` argumentet st\u00e5r der av tekniske grunner, det skal **ikke** oppgis n\u00e5r kommandoen brukes, dvs vi bruker `backward()` som\n",
      "        tor.backward(50)\n",
      "- Det samme gjelder alle andre kommandoer: se bort fra `self`!"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Hva skjer hvis jeg gj\u00f8r en feil? ###\n",
      "\n",
      "Det finnes to typer feil:\n",
      "\n",
      "- Tor gj\u00f8r noe annet enn du \u00f8nsker: Pr\u00f8v \u00e5 forandre p\u00e5 kommandoen eller et annet kommando!\n",
      "- Tor gj\u00f8r ikke noe og du f\u00e5r en feilmelding"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "tor.color('min yndlingsfarge')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "ename": "TurtleGraphicsError",
       "evalue": "bad color string: min yndlingsfarge",
       "output_type": "pyerr",
       "traceback": [
        "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mTurtleGraphicsError\u001b[0m                       Traceback (most recent call last)",
        "\u001b[0;32m<ipython-input-23-b189346d9736>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtor\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolor\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'min yndlingsfarge'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
        "\u001b[0;32m/opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-tk/turtle.pyc\u001b[0m in \u001b[0;36mcolor\u001b[0;34m(self, *args)\u001b[0m\n\u001b[1;32m   2128\u001b[0m             \u001b[0;32melif\u001b[0m \u001b[0ml\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;36m3\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2129\u001b[0m                 \u001b[0mpcolor\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfcolor\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2130\u001b[0;31m             \u001b[0mpcolor\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_colorstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpcolor\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2131\u001b[0m             \u001b[0mfcolor\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_colorstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfcolor\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2132\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpencolor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mpcolor\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfillcolor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mfcolor\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
        "\u001b[0;32m/opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-tk/turtle.pyc\u001b[0m in \u001b[0;36m_colorstr\u001b[0;34m(self, args)\u001b[0m\n\u001b[1;32m   2598\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2599\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_colorstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2600\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mscreen\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_colorstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2601\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2602\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_cc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
        "\u001b[0;32m/opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-tk/turtle.pyc\u001b[0m in \u001b[0;36m_colorstr\u001b[0;34m(self, color)\u001b[0m\n\u001b[1;32m   1103\u001b[0m                 \u001b[0;32mreturn\u001b[0m \u001b[0mcolor\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1104\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1105\u001b[0;31m                 \u001b[0;32mraise\u001b[0m \u001b[0mTurtleGraphicsError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"bad color string: %s\"\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcolor\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1106\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1107\u001b[0m             \u001b[0mr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mg\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mb\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcolor\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
        "\u001b[0;31mTurtleGraphicsError\u001b[0m: bad color string: min yndlingsfarge"
       ]
      }
     ],
     "prompt_number": 23
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "- Feilmeldingene kan v\u00e6re lang\n",
      "- Se p\u00e5 bunnen (det er punktet der ting virkelig skj\u00e6ret seg) og p\u00e5 toppen (da er vi veldig n\u00e6r kommandoen du har gitt)\n",
      "- Her ser vi p\u00e5 bunnen\n",
      "        TurtleGraphicsError: bad color string: min yndlingsfarge\n",
      "- Det betyr at Turtle Graphics ikke forst\u00e5r hva du mener med `'min yndlingsfarge'`: du m\u00e5 oppgi fargenavn p\u00e5 engelsk (og da kan det ogs\u00e5 v\u00e6re at TG ikke kjenner navnet)!\n",
      "- Pr\u00f8v gjerne \u00e5 google feilmeldingen!\n",
      "\n",
      "### Hva skjer hvis jeg gir feil antall argumenter? ###"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "tor.forward()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "ename": "TypeError",
       "evalue": "forward() takes exactly 2 arguments (1 given)",
       "output_type": "pyerr",
       "traceback": [
        "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
        "\u001b[0;32m<ipython-input-24-6bf2277def3f>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtor\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mforward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
        "\u001b[0;31mTypeError\u001b[0m: forward() takes exactly 2 arguments (1 given)"
       ]
      }
     ],
     "prompt_number": 24
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "- Python klager p\u00e5 at `forward()` \u00f8nsker **to** argumenter, men at vi bare har gitt **ett**\n",
      "- Men vi har jo gitt **null** argumenter?!?\n",
      "- **OBS**: Bak kulissene legger Python altid `self` til, s\u00e5 i feilmelding ovenfor m\u00e5 vi trekke fra 1, dvs tenke oss meldingen som \"takes exactly 1 argument (0 given)\""
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "## Og hvor er Tina? ##"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "tina = turtle.Turtle()\n",
      "tina.color('orange')\n",
      "tina.width(2)\n",
      "tina.circle(100)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 25
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Med `pos()` kommandoen kan vi finne ut hvor `tina` befinner seg"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "tina.pos()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 26,
       "text": [
        "(-0.00,-0.00)"
       ]
      }
     ],
     "prompt_number": 26
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Med `goto()` kan vi sende henne hvor som helst p\u00e5 skjermen"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "tina.goto(40, 50)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 27
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Vi kan kombinere begge deler:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "x, y = tina.pos()         # f\u00e5 ut posisjon og huske x og y koordinatene\n",
      "tina.goto(x+100, y-150)   # send tina til et nytt sted, 100 pixler til h\u00f8yre og 150 nedover"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 28
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Hvordan rydder vi opp? ###"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "tor.reset()\n",
      "tina.reset()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 36
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "sletter tegningen, flytter `tor` og `tina` tilbake til startpunktet og setter farge og bredde tilbake til startverdiene.\n",
      "\n",
      "* * *"
     ]
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Litt om IPython Notebook"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "1. N\u00e5r du starter opp ipython med\n",
      "        ipython notebook --pylab=inline\n",
      "   - startes det en ipython server som g\u00e5r bak kulissene \n",
      "   - serveren er tilgjengelig som en webserver p\u00e5 lokal maskin\n",
      "   - en nettleser kobler seg automatisk mot serveren og viser IPython Dashbord\n",
      "   - dashbordet viser alle IPython Notebooks (`*.ipynb` filer) som ligger i mappen der du started IPython\n",
      "   - derfor b\u00f8r du starte IPython fra din `INF100/Python` mappe\n",
      "1. Arbeid med Notebooks\n",
      "   - dobbelklikk p\u00e5 en celle for \u00e5 redigere den\n",
      "   - Shift-Enter g\u00e5r videre til neste celle (utf\u00f8rer koden i kodeceller)\n",
      "   - Ctrl-Enter kj\u00f8rer koden og blir st\u00e5ende i samme celle\n",
      "   - velg celletype (code, markdown (=tekst), heading) i rullegardin p\u00e5 toppen\n",
      "   - bruk \"Insert\" for \u00e5 legge til flere celler\n",
      "   - se Help > Keyboard Shortcuts for \u00e5 se hvordan du kan spare mange mus-mil\n",
      "1. Lagring av Notebooks\n",
      "   - for \u00e5 endre navnet, klikk p\u00e5 navnet helt p\u00e5 toppen, ved siden av \"IP[y]: Notebook\"\n",
      "   - for \u00e5 lagre, klikk p\u00e5 diskettsymbolet eller velg File > Save and Checkpoint\n",
      "   - filene lagres i oppstartmappen\n",
      "1. Avsluting\n",
      "   - lagre f\u00f8rst\n",
      "   - velg File > Close and halt\n",
      "   - lukk dashbord-vinduet i nettlesern\n",
      "   - trykk Ctrl-C i vinduet der du startet serveren eller lukk det vinduet\n",
      "1. Mer informasjon\n",
      "   - se help over\n",
      "   - [IPython Notebook nettside](http://ipython.org/notebook.html)\n",
      "   \n",
      "* * *"
     ]
    },
    {
     "cell_type": "heading",
     "level": 1,
     "metadata": {},
     "source": [
      "Programmering: Organisering og kontroll"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "## Grunntanker ##\n",
      "\n",
      "- Vi \u00f8nsker \u00e5 l\u00f8se komplekse oppgaver\n",
      "    - Vi m\u00e5 ofte l\u00f8se repeterende oppgaver\n",
      "    - Vi m\u00e5 gj\u00f8re enten det ene (ta frem skiene) eller det andre (ta frem badebuksen)\n",
      "    - Vi m\u00e5 dele opp og delegere deloppgaver\n",
      "- Programmering handler i stor grad om\n",
      "    - gjentakelse\n",
      "    - valg mellom alternativer\n",
      "    - delegering\n",
      "- I tillegg kommer forvaltning av data\n",
      "- Vi skal n\u00e5 se p\u00e5 gjentakelse, valg og delegering\n",
      "\n",
      "## Do it again, Sam! ##\n",
      "\n",
      "- **Oppgave:** Tegn to kvadrater ved siden av hverandre.\n",
      "- Sp\u00f8rsm\u00e5l: Er oppgavestillingen komplett?"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import turtle\n",
      "sam = turtle.Turtle()\n",
      "\n",
      "# kvadrat nummer en\n",
      "sam.forward(100)\n",
      "sam.left(90)\n",
      "sam.forward(100)\n",
      "sam.left(90)\n",
      "sam.forward(100)\n",
      "sam.left(90)\n",
      "sam.forward(100)\n",
      "sam.left(90)\n",
      "\n",
      "# flytt til start for neste kvadrat\n",
      "sam.up()\n",
      "sam.forward(150)\n",
      "sam.down()\n",
      "\n",
      "# kvadrat nummer to\n",
      "sam.forward(100)\n",
      "sam.left(90)\n",
      "sam.forward(100)\n",
      "sam.left(90)\n",
      "sam.forward(100)\n",
      "sam.left(90)\n",
      "sam.forward(100)\n",
      "sam.left(90)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 37
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Analyse ###\n",
      "- To ganger samme kode (og litt eksta i midten)\n",
      "- For hvert kvadrat: fire ganger de samme to linjene\n",
      "- Kan vi forkorte koden?\n",
      "- Unng\u00e5 \u00e5 ha samme koden flere ganger?\n",
      "- Gj\u00f8re koden mer fleksibelt?\n",
      "\n",
      "### F\u00f8rste skritt: forenkle tegning av et enkelt kvadrat ###\n",
      "\n",
      "- Vi **gjentar** samme operasjon ganger\n",
      "- Hva n\u00f8yaktig gjentar vi?\n",
      "- Hvor ofte gjentar vi det?\n",
      "\n",
      "#### Gjentakelse i Python: for l\u00f8kke ####\n",
      "\n",
      "- **L\u00f8kker** brukes i de fleste programmeringsspr\u00e5k for \u00e5 h\u00e5ndtere repeterende oppgaver\n",
      "- En **`for` l\u00f8kke** i Python utf\u00f8res et gitt antall ganger"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "sam.reset()\n",
      "for sider_som_er_tegnet in [0, 1, 2, 3]:\n",
      "    sam.forward(100)\n",
      "    sam.left(90)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 41
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "#### Hva skjer her? ####\n",
      "\n",
      "- Den f\u00f8rste linjen innleder `for` l\u00f8kken \n",
      "- De siste to linjene er l\u00f8kkens *kropp*. Disse linjene blir utf\u00f8rt gjentattet ganger.\n",
      "- **OBS**: Linjene i kroppen m\u00e5 v\u00e6re innrykket like lang alle sammen!\n",
      "- `[0, 1, 2, 3]` er en *liste*, som inneholder fire tall\n",
      "- Linjene i l\u00f8kken utf\u00f8res en gang for hver tall i listen\n",
      "- For hver gjennomgang lagres det aktuelle tallet i `sider_som_er_tegnet`\n",
      "- `sider_som_er_tegnet` er *l\u00f8kkevariablen* eller *telleren*\n",
      "- I Python (og mange andre spr\u00e5k) er det vanlig \u00e5 starte slike lister i l\u00f8kker med 0\n",
      "- Tallet viser da hvor mange sider som er tegnet *f\u00f8r* koden i l\u00f8kken utf\u00f8res\n",
      "- Vi kan bruke `sider_som_er_tegnet` i l\u00f8kken"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "sam.reset()\n",
      "for sider_som_er_tegnet in [0, 1, 2, 3]:\n",
      "    print 'Tegnet hittil: ', sider_som_er_tegnet\n",
      "    sam.forward(100)\n",
      "    sam.left(90)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Tegnet hittil:  0\n",
        "Tegnet hittil: "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " 1\n",
        "Tegnet hittil: "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " 2\n",
        "Tegnet hittil: "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " 3\n"
       ]
      }
     ],
     "prompt_number": 42
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "- Vi kan til og med bruke tallet for \u00e5 sette tykkelsen p\u00e5 streken"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "sam.reset()\n",
      "for sider_som_er_tegnet in [0, 1, 2, 3]:\n",
      "    print 'Tegnet hittil: ', sider_som_er_tegnet\n",
      "    sam.width(1 + 2 * sider_som_er_tegnet)\n",
      "    sam.forward(100)\n",
      "    sam.left(90)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Tegnet hittil:  0\n",
        "Tegnet hittil: "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " 1\n",
        "Tegnet hittil: "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " 2\n",
        "Tegnet hittil: "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " 3\n"
       ]
      }
     ],
     "prompt_number": 43
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "**Aktivitet**: Sett dere to-og-to sammen. En styrer l\u00f8kken (holder oversikt over `sider_som_er_tegnet`), den andre tegner p\u00e5 papir. Skriv ned tallene og strektykkelsene for hver gang gjennom l\u00f8kken."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "#### Ytterlige forenkling ####\n",
      "\n",
      "- Python kan lage lister for oss\n",
      "        range(n)\n",
      "  gir listen\n",
      "        [0, 1, 2, ..., n-1]\n",
      "  alst\u00e5 en liste med `n` elementer\n",
      "- Hvis vi ikke trenger l\u00f8kkevariablen i l\u00f8kken, kan vi bruke `_` (understrek) i steden"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "sam.reset()\n",
      "for _ in range(4):\n",
      "    sam.forward(100)\n",
      "    sam.left(90)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 44
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "- Hele programmet for tegning av to kvadrater blir da"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "sam.reset()\n",
      "\n",
      "for _ in range(4):\n",
      "    sam.forward(100)\n",
      "    sam.left(90)\n",
      "    \n",
      "sam.up()\n",
      "sam.forward(150)\n",
      "sam.down()\n",
      "\n",
      "for _ in range(4):\n",
      "    sam.forward(100)\n",
      "    sam.left(90)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 46
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "#### Hva har vi oppn\u00e5dd? ####\n",
      "- koden er krympet fra \u00e5tte til tre linjer per kvadrat\n",
      "- programmet produserer samme resultat som f\u00f8r\n",
      "- vi m\u00e5 fortsatt gjenta koden for kvadratet for \u00e5 f\u00e5 to kvadrater\n",
      "\n",
      "### Andre skritt: arbeidspakker til gjenbruk ###\n",
      "\n",
      "Id\u00e9: Samle instruksjonen for tegning av et kvadrat i en \"arbeidspakke\", slik at de kan brukes hver gang vi tregner et kvadrat\n",
      "\n",
      "#### Arbeidspakker i Python: funksjoner ####\n",
      "\n",
      "- I Python (og de fleste andre programmeringsspr\u00e5k) heter slike arbeidspakker *funksjoner*\n",
      "- En funksjon er en samling instruksjoner som utf\u00f8res hver gang funksjonen *kalles* eller *utf\u00f8res*\n",
      "- En funksjon i Python er alts\u00e5 noe ganske annet enn en funksjon i matematikk\n",
      "- Vi m\u00e5 definere en funksjon f\u00f8r bruk:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def kvadrat():\n",
      "    for _ in range(4):\n",
      "        sam.forward(100)\n",
      "        sam.left(90)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 47
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "- `def` forteller Python at vi skal definere en funksjon\n",
      "- `kvadrat` er funksjonens navn\n",
      "- `()` tilsier at vi ikke skal sende noen argumenter/informasjon til funksjonen\n",
      "- de tre innrykkede linjene er funksjonens kropp\n",
      "- de utf\u00f8res hver gang funksjonen kalles\n",
      "\n",
      "N\u00e5 kan vi bruke funksjonen slik:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "sam.reset()\n",
      "\n",
      "kvadrat()\n",
      "\n",
      "sam.up()\n",
      "sam.forward(150)\n",
      "sam.down()\n",
      "\n",
      "kvadrat()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 48
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "#### Hva har vi oppn\u00e5dd? ####\n",
      "\n",
      "- Vi har koden for \u00e5 tegne kvadratet bare ett sted\n",
      "- Vi trenger bare \u00e5 kalle `kvadrat()` for \u00e5 f\u00e5 tegnet et kvadrat---vi tregner ikke lenger tenke p\u00e5 hvordan det gj\u00f8res!\n",
      "\n",
      "### Utfordring ###\n",
      "\n",
      "Diskuter med naboen din hvordan vi kan tegne fire kvadrater p\u00e5 rad med kortest mulig kode!"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
 }
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