Skip to content

Instantly share code, notes, and snippets.

@heplesser

heplesser/INF100_H13_Oblig1.ipynb

Created September 4, 2013 21:23
Show Gist options

  • Select an option

    Learn more about clone URLs
  • Save heplesser/6443045 to your computer and use it in GitHub Desktop.

Select an option

Learn more about clone URLs
Save heplesser/6443045 to your computer and use it in GitHub Desktop.
Download ZIP
INF100 Obligatorisk Oppgave 1
Display the source blob
Display the rendered blob
Raw
INF100_H13_Oblig1.ipynb
{
"metadata": {
"name": ""
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"INF100: Obligatorisk innlevering nr 1"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Prinsipper ###\n",
"1. Dette er den f\u00f8rste av seks obligatoriske innleveringer i l\u00f8pet av semesteret. \n",
"1. Hver innlevering vil best\u00e5 av tre oppgaver, i alt alts\u00e5 18 oppgaver.\n",
"1. I tillegg kan det v\u00e6re 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. Alle svar skal f\u00f8res i denne Notebooken.\n",
"1. F\u00f8r du begynner, klikk p\u00e5 navnet p\u00e5 toppen av skjermen og endre den fra `INF100_H13_Oblig1` til `INF100_H13_Oblig1_Fornavn_Etternavn`, f eks `INF100_H13_Oblig1_Kari_Nordmann`!\n",
"1. F\u00f8r navnet ditt og epostadressen din i feltene under!\n",
"1. N\u00e5r du har besvart oppgavene, lagre Notebooken. Du vil da finne filen `INF100_H13_Oblig1_Fornavn_Etternavn.ipynp` i din Python mappe (evt kan du laste ned med `File > Download as > IPython`. Denne filen (og bare den) skal **lastes opp til oppgavesiden p\u00e5 Fronter** som besvarelse."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"----------------\n",
"## Navn og epost ##\n",
"Skriv inn navnet og epostadressen din i feltene under. **Uten dette vil du ikke f\u00e5 godskrevet innleveringen!**"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"__author__ = \"\"\n",
"__epost__ = \"\""
],
"language": "python",
"metadata": {},
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* * *\n",
"## Oppgave 1: Blockly ##\n",
"I denne oppgaven skal du pr\u00f8ve deg p\u00e5 grafisk programmering med Blockly.\n",
"\n",
"1. G\u00e5 til [Blockly Maze](http://blockly-demo.appspot.com/static/apps/maze/index.html) siden.\n",
"1. Du skal lage programmer som f\u00f8rer figuren gjennom labyrintet til m\u00e5let ved \u00e5 legge sammen programelementer.\n",
"1. L\u00f8s alle programmeringsoppgaver til og med niv\u00e5 9 (pr\u00f8v gjerne 10 ogs\u00e5).\n",
"1. Som besvarelse skal du kort beskrive din l\u00f8sningsstrategi i feltet under.\n",
"\n",
"NB: For \u00e5 lage en \"bullet list\", begynner du linjene med \"-\". For \u00e5 lage nummererte lister, begynner du linjene med \"1.\" Det m\u00e5 v\u00e6re tomme linjer foran og etter listen. For mer om Markdown formattering, se [Markdown veiledningen](http://daringfireball.net/projects/markdown/basics) og `Help > Notebook Help`."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Dobbelklikk p\u00e5 dette feltet og legg inn ditt svar!"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* * *\n",
"## Oppgave 2: Skriv navnet ditt ##\n",
"\n",
"- Bruk Turtle Graphics til \u00e5 skrive navnet ditt, dvs la skilpadden tegne opp linjer som danner bokstavene i ditt navn. \n",
"- Har navnet ditt mer enn fem bokstaver, kan du forkorte navnet. \n",
"- Du skal **ikke** benytte `write()` funksjonen i Turtle Graphics.\n",
"- Under arbeidet kan du gjerne fordele koden p\u00e5 flere input-felt, men f\u00f8r innleveringen b\u00f8r du samle de i et felt.\n",
"- Du skal bare ta med koden i Notebooken, ikke selve grafikken.\n",
"- Et eksempel finner du nedenfor."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"from IPython.display import Image ; Image(filename='Figures/O1_hans.png')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"png": "iVBORw0KGgoAAAANSUhEUgAAAZ8AAACACAIAAABbd/M5AAAXMGlDQ1BJQ0MgUHJvZmlsZQAAWIW1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\n6HgzlwAAAABJRU5ErkJggg==\n",
"prompt_number": 1,
"text": [
"<IPython.core.display.Image at 0x1072056d0>"
]
}
],
"prompt_number": 1
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import turtle\n",
"# koden din kommer her"
],
"language": "python",
"metadata": {},
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* * *\n",
"## Oppgave 3: Lag en morsom grafikk ##\n",
"\n",
"- Lag en dekorativ eller morsom tegning, som man f eks kunne sette p\u00e5 et bursdagskort. \n",
"- Tegningen skal ha minst tre farger og to linjebredder.\n",
"- Du finner et eksempel under"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"from IPython.display import Image ; Image(filename='Figures/O1_smiley.png')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"png": "iVBORw0KGgoAAAANSUhEUgAAAdcAAAG9CAIAAADIiauqAAAXMGlDQ1BJQ0MgUHJvZmlsZQAAWIW1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\nFAYAkNP/B0/OGvT+7vGjAAAAAElFTkSuQmCC\n",
"prompt_number": 2,
"text": [
"<IPython.core.display.Image at 0x1072057d0>"
]
}
],
"prompt_number": 2
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import turtle\n",
"# koden din kommer her"
],
"language": "python",
"metadata": {},
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* * *\n",
"## Bonusoppgave 1 ##\n",
"\n",
"Skriv en Python funksjon som tar imot en streng og tegner teksten, dvs `draw_text('HANS')` skal tegne `HANS` som i eksempelet for oppgave 2. Du kan f\u00e5 godkjent oppgaven hvis koden din st\u00f8tter minst 10 forskjellige bokstaver eller tegn."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import turtle\n",
"# din kode kommer her"
],
"language": "python",
"metadata": {},
"outputs": []
}
],
"metadata": {}
}
]
}
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment