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hazardclassroom/10 introduction to python.ipynb

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An introduction course to the programming language Python
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10 introduction to python.ipynb
{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"source": [
"# Strings!"
]
},
{
"cell_type": "markdown",
"metadata": {
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"source": [
"Strings are defined with single or double quotes:"
]
},
{
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"metadata": {
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}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"panda bears are cute!\n"
]
}
],
"source": [
"print('panda bears are cute!')"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"panda bears are cute!\n"
]
}
],
"source": [
"print(\"panda bears are cute!\")"
]
},
{
"cell_type": "markdown",
"metadata": {
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"source": [
"Escape characters work as in other languages:"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"hello\n",
"\thow\n",
"are\tyou\n"
]
}
],
"source": [
"print('hello\\n\\thow\\nare\\tyou')"
]
},
{
"cell_type": "markdown",
"metadata": {
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"source": [
"You can stick to strings together with a `+` this is called a concatentation:"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [
{
"data": {
"text/plain": [
"'howareyou'"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"'how' + 'are' + 'you'"
]
},
{
"cell_type": "markdown",
"metadata": {
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"source": [
"strings can also be indexed"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [
{
"data": {
"text/plain": [
"'bears are cute!'"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"'panda bears are cute!'[6:]"
]
},
{
"cell_type": "markdown",
"metadata": {
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"source": [
"# Iterables"
]
},
{
"cell_type": "markdown",
"metadata": {
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"source": [
"## lists"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [],
"source": [
"bears = ['pandas', 'brown', 'black']"
]
},
{
"cell_type": "markdown",
"metadata": {
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"source": [
"lists are ordered and indexed!"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [
{
"data": {
"text/plain": [
"'pandas'"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bears[0]"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [
{
"data": {
"text/plain": [
"['pandas', 'brown']"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bears[0:2]"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [
{
"data": {
"text/plain": [
"'black'"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bears[-1]"
]
},
{
"cell_type": "markdown",
"metadata": {
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"source": [
"lists can have there insides changed"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [],
"source": [
"bears.append('red')"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [
{
"data": {
"text/plain": [
"['pandas', 'brown', 'black', 'red']"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bears"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [],
"source": [
"bears[1] = 'blue'"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [],
"source": [
"bears.sort()"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [
{
"data": {
"text/plain": [
"['black', 'blue', 'pandas', 'red']"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bears"
]
},
{
"cell_type": "markdown",
"metadata": {
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"source": [
"you can do things to the items in a list"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [],
"source": [
"bears[1] = bears[1] + ' is not a type of bear'"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [
{
"data": {
"text/plain": [
"['black', 'blue is not a type of bear', 'pandas', 'red']"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bears"
]
},
{
"cell_type": "markdown",
"metadata": {
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"source": [
"you can iterate through a list (it's an iterable!)"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"black\n",
"blue is not a type of bear\n",
"pandas\n",
"red\n"
]
}
],
"source": [
"for bear in bears:\n",
" print(bear)"
]
},
{
"cell_type": "markdown",
"metadata": {
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"source": [
"## Tuples"
]
},
{
"cell_type": "markdown",
"metadata": {
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"source": [
"Tuples are like lists but you can't change their insides. This is called \"immutable\". Lists are mutable."
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [],
"source": [
"cats = ('fat', 'lazy', 'garfield')"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [
{
"ename": "TypeError",
"evalue": "'tuple' object does not support item assignment",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-20-c53305c5c1d4>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mcats\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'tails'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;31mTypeError\u001b[0m: 'tuple' object does not support item assignment"
]
}
],
"source": [
"cats[2] = 'tails'"
]
},
{
"cell_type": "markdown",
"metadata": {
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"source": [
"## Dictionaries"
]
},
{
"cell_type": "markdown",
"metadata": {
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"source": [
"dictionaries are a data type called a key/value pair.\n",
"\n",
"* Curly braces create dictionaries.\n",
"* I Contents of a dictionary are unordered.\n",
"* I Keys are unique"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [],
"source": [
"cats = {'marly':[12, 'tabby'], 'garfield':[8, 'calico']}"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [
{
"data": {
"text/plain": [
"[12, 'tabby']"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"cats['marly']"
]
},
{
"cell_type": "markdown",
"metadata": {
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"source": [
"To check if a dict has a certain key you can do:"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"'marly' in cats"
]
},
{
"cell_type": "markdown",
"metadata": {
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"source": [
"Delete an element from the dictionary:"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [],
"source": [
"del cats['marly']"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [
{
"data": {
"text/plain": [
"{'garfield': [8, 'calico']}"
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"cats"
]
},
{
"cell_type": "markdown",
"metadata": {
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"source": [
"To construct a dictionary from a list of tuples:"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [
{
"data": {
"text/plain": [
"{'seismics': 250, 'seismology': 254, 'vulcanology': 253}"
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dict([('seismology', 254),\n",
"('seismics', 250),\n",
" ('vulcanology', 253)])"
]
},
{
"cell_type": "markdown",
"metadata": {
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"source": [
"# Indentation"
]
},
{
"cell_type": "markdown",
"metadata": {
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"source": [
"## INDENTATION IS IMPORTANT!\n",
"* Don’t mix tabs an spaces.\n",
"* Python looks at the exact whitespace characters in your\n",
"source.\n",
"* Your editor doesn’t show you if there’s a tab or 8 spaces,\n",
"but it matters to python.\n",
"* Your editor can be set to use only spaces, even when you\n",
"press TAB."
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [
{
"ename": "IndentationError",
"evalue": "expected an indented block (<ipython-input-27-a6d608ed7fda>, line 2)",
"output_type": "error",
"traceback": [
"\u001b[0;36m File \u001b[0;32m\"<ipython-input-27-a6d608ed7fda>\"\u001b[0;36m, line \u001b[0;32m2\u001b[0m\n\u001b[0;31m print(x)\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mIndentationError\u001b[0m\u001b[0;31m:\u001b[0m expected an indented block\n"
]
}
],
"source": [
"for x in range(5):\n",
"print(x)"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0\n",
"1\n",
"2\n",
"3\n",
"4\n"
]
}
],
"source": [
"for x in range(5):\n",
" print(x)"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [
{
"ename": "IndentationError",
"evalue": "expected an indented block (<ipython-input-29-25af684dec26>, line 2)",
"output_type": "error",
"traceback": [
"\u001b[0;36m File \u001b[0;32m\"<ipython-input-29-25af684dec26>\"\u001b[0;36m, line \u001b[0;32m2\u001b[0m\n\u001b[0;31m print(cats['garfield'])\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mIndentationError\u001b[0m\u001b[0;31m:\u001b[0m expected an indented block\n"
]
}
],
"source": [
"if 'garfield' in cats:\n",
"print(cats['garfield'])"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[8, 'calico']\n"
]
}
],
"source": [
"if 'garfield' in cats:\n",
" print(cats['garfield'])"
]
},
{
"cell_type": "markdown",
"metadata": {
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"source": [
"# for statements"
]
},
{
"cell_type": "markdown",
"metadata": {
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"source": [
"The for statement iterates over the items of any sequence:"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"kirk\n",
"janeway\n",
"picard\n",
"sisko\n",
"scott bakula\n"
]
}
],
"source": [
"starfleet_captains = ['kirk', 'janeway', 'picard', 'sisko', 'scott bakula']\n",
"\n",
"for captain in starfleet_captains:\n",
" print(captain)"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"s\n",
"t\n",
"a\n",
"r\n",
" \n",
"t\n",
"r\n",
"e\n",
"k\n"
]
}
],
"source": [
"for letter in 'star trek':\n",
" print(letter)"
]
},
{
"cell_type": "markdown",
"metadata": {
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"source": [
"## The break statement"
]
},
{
"cell_type": "markdown",
"metadata": {
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"source": [
"The break statement let’s you abort a loop abnormally:"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"I want: sushi pizza\n"
]
}
],
"source": [
"good_foods = ['pizza', 'sushi', 'curry']\n",
"menu = ['hamburgers', 'sushi', 'pizza', 'curry', 'salad']\n",
"wanted = []\n",
"\n",
"for food in menu:\n",
"\n",
" if food in good_foods:\n",
" wanted.append( food )\n",
"\n",
" if len(wanted) == 2:\n",
" break # two things are enough today...\n",
"\n",
"print(\"I want: \" + ' '.join(wanted))"
]
},
{
"cell_type": "markdown",
"metadata": {
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"source": [
"# Functions"
]
},
{
"cell_type": "markdown",
"metadata": {
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"source": [
"The def keyword starts a function definition:"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [],
"source": [
"def powers_of_two(n):\n",
" \"\"\"\n",
" returns a list of powers of 2\n",
" starting from 0 and progressing\n",
" until n elements are generated.\n",
" \"\"\"\n",
" results = []\n",
"\n",
" for i in range(n):\n",
" results.append( 2**i )\n",
"\n",
" return results"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [
{
"data": {
"text/plain": [
"[1, 2, 4, 8, 16, 32, 64, 128, 256, 512]"
]
},
"execution_count": 35,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"powers_of_two(10)"
]
},
{
"cell_type": "markdown",
"metadata": {
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"source": [
"Sometimes you have a function taking several arguments:"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [],
"source": [
"def add_two_numbers(a, b):\n",
" \"\"\"\n",
" adds two input numbers together\n",
" returns the sum\n",
" \"\"\"\n",
"\n",
"\n",
" summed = a + b\n",
"\n",
" return summed"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [
{
"data": {
"text/plain": [
"175"
]
},
"execution_count": 37,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"add_two_numbers(50, 125)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"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": "3.5.2"
},
"name": "introduction to python.ipynb"
},
"nbformat": 4,
"nbformat_minor": 0
}
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