You can download all of the files associated with this tutorial (including this description) as a zip archive.
buyLotsOfFruit
function) and 2 (shopSmart
function). This is a good thing: learning the basics of python now will save you many headaches later in the course.
This tutorial should be submitted with the name p0
using these submission instructions.
Please read the submission instructions - they contain important information on how to submit this and all further assignments.
solar%
mkdir
command. Use cd
to change to that directory:
[cs188-ta@midway ~]$ mkdir tutorial
[cs188-ta@midway ~]$ cd tutorial
[cs188-ta@midway ~/tutorial]$
~cs188/projects/tutorial
directory. To copy them to your directory, use the cp
command. The *
is a useful way to specify multiple files in a given directory; *.py
refers to all filenames that end have the .py
ending. Note that .
is shorthand for the current directory. Use ls
to see a listing of the contents of a directory.
[cs188-ta@midway ~]$ cp ~cs188/projects/tutorial/*.py .
[cs188-ta@midway ~]$ ls
buyLotsOfFruit.py
foreach.py
listcomp.py
listcomp2.py
quickSort.py
shop.py
shopSmart.py
shopTest.py
rm
removes (deletes) a filemv
moves a file (ie. cut/paste instead of
copy/paste)man
displays documentation for a commandpwd
prints your current path xterm
opens a new terminal windowmozilla
opens a web browser&
to a command to run it in the backgroundfg
brings a program running in the background to the foregroundvi
, pico
, or joe
on Unix; or Notepad on Windows; or TextWrangler on Macs; and many more).
To run Emacs, type emacs
at a command prompt:
[cs188-ta@midway ~]$ emacs helloWorld.py &
[1] 3262
helloWorld.py
which will either open
that file for editing if it exists, or create it otherwise. Emacs
notices that this is a Python source file (because of the .py
ending) and enters
Python-mode, which is supposed to help you write code. When editing
this file you may notice some of that some text becomes automatically
colored: this is syntactic highlighting to help you
distinguish items such as keywords, variables, strings, and comments.
Pressing Enter, Tab, or Backspace may cause
the cursor to jump to weird locations: this is because Python is
very picky about indentation, and Emacs is predicting the proper
tabbing that you should use.
Some basic Emacs editing commands (C-
means "while
holding the Ctrl-key"):
C-x C-s
Save the current fileC-x C-f
Open a file, or create a new file it if
doesn't existC-k
Cut a line, add it to the clipboardC-y
Paste the contents of the clipboardC-_
UndoC-g
Abort a half-entered commandYou can also copy and paste using just the mouse. Using the left button, select a region of text to copy. Click the middle button to paste.
There are two ways you can use Emacs to develop Python code. The most
straightforward way is to use it just as a text editor: create and
edit Python files in Emacs; then run Python to test the code somewhere
else, like in a terminal window. Alternatively, you can run Python
inside Emacs: see the options under "Python" in the menubar, or type
C-c !
to start a Python interpreter in a split screen.
(Use C-x o
to switch between the split
screens).
If you want to spend some extra set-up time becoming a power user, you can try an IDE like Eclipse (Download the Eclipse Classic package at the bottom). Check out PyDev for Python support in Eclipse. See our eclipse setup instructions for help.
You may find the Troubleshooting section helpful if you run into problems. It contains a list of the frequent problems previous CS188 students have encountered when following this tutorial.
python
at the Unix command prompt.
python2.4
or python2.5
, rather than python
, depending on your machine.
[cs188-ta@midway ~]$ python
Python 2.5 (r25:51908, Sep 28 2008, 12:45:36)
[GCC 3.4.6] on sunos5
Type "help", "copyright", "credits" or "license" for more information.
>>>
>>>
) they will
be evaluated and the result wil be returned on the next line.
>>> 1 + 1
2
>>> 2 * 3
6
Boolean operators also exist in Python to manipulate the primitive True
and False
values.
>>> 1==0
False
>>> not (1==0)
True
>>> (2==2) and (2==3)
False
>>> (2==2) or (2==3)
True
+
operator is overloaded
to do string concatenation on string values.
>>> 'artificial' + "intelligence"
'artificialintelligence'
>>> 'artificial'.upper()
'ARTIFICIAL'
>>> 'HELP'.lower()
'help'
>>> len('Help')
4
' '
or double quotes " "
to surround string. This allows for easy nesting of strings.
>>> s = 'hello world'
>>> print s
hello world
>>> s.upper()
'HELLO WORLD'
>>> len(s.upper())
11
>>> num = 8.0
>>> num += 2.5
>>> print num
10.5
To see what methods Python provides for a datatype, use the dir
and help
commands:
Try out some of the string functions listed in
>>> s = 'abc'
>>> dir(s)
['__add__', '__class__', '__contains__', '__delattr__', '__doc__', '__eq__', '__ge__',
'__getattribute__', '__getitem__', '__getnewargs__', '__getslice__', '__gt__', '__hash__', '__init__','__le__', '__len__', '__lt__', '__mod__', '__mul__', '__ne__', '__new__', '__reduce__', '__reduce_ex__','__repr__', '__rmod__', '__rmul__', '__setattr__', '__str__', 'capitalize', 'center',
'count', 'decode', 'encode', 'endswith', 'expandtabs', 'find', 'index', 'isalnum', 'isalpha', 'isdigit', 'islower', 'isspace', 'istitle', 'isupper', 'join', 'ljust', 'lower', 'lstrip', 'replace', 'rfind','rindex', 'rjust', 'rsplit', 'rstrip', 'split', 'splitlines', 'startswith', 'strip', 'swapcase', 'title', 'translate', 'upper', 'zfill']
>>> help(s.find)
Help on built-in function find:
>> s.find('b')
find(...)
S.find(sub [,start [,end]]) -> int
Return the lowest index in S where substring sub is found,
such that sub is contained within s[start,end]. Optional
arguments start and end are interpreted as in slice notation.
Return -1 on failure.
1
dir
(ignore those with underscores '_' around the method name).
>>> fruits = ['apple','orange','pear','banana']
>>> fruits[0]
'apple'
We can use the +
operator to do list concatenation:
>>> otherFruits = ['kiwi','strawberry']
>>> fruits + otherFruits
>>> ['apple', 'orange', 'pear', 'banana', 'kiwi', 'strawberry']
Python also allows negative-indexing from the back of the list.
For instance, fruits[-1]
will access the last
element 'banana'
:
>>> fruits[-2]
'pear'
>>> fruits.pop()
'banana'
>>> fruits
['apple', 'orange', 'pear']
>>> fruits.append('grapefruit')
>>> fruits
['apple', 'orange', 'pear', 'grapefruit']
>>> fruits[-1] = 'pineapple'
>>> fruits
['apple', 'orange', 'pear', 'pineapple']
fruits[1:3]
which returns a list containing
the elements at position 1 and 2. In general fruits[start:stop]
will get the elements in start, start+1, ..., stop-1
. We can
also do fruits[start:]
which returns all elements starting from the start
index. Also fruits[:end]
will return all elements before the element at position end
:
>>> fruits[0:2]
['apple', 'orange']
>>> fruits[:3]
['apple', 'orange', 'pear']
>>> fruits[2:]
['pear', 'pineapple']
>>> len(fruits)
4
The items stored in lists can be any Python data type. So for instance
we can have lists of lists:
>>> lstOfLsts = [['a','b','c'],[1,2,3],['one','two','three']]
>>> lstOfLsts[1][2]
3
>>> lstOfLsts[0].pop()
'c'
>>> lstOfLsts
[['a', 'b'],[1, 2, 3],['one', 'two', 'three']]
dir
and
get information about them via the help
command:
>>> dir(list)
['__add__', '__class__', '__contains__', '__delattr__', '__delitem__',
'__delslice__', '__doc__', '__eq__', '__ge__', '__getattribute__',
'__getitem__', '__getslice__', '__gt__', '__hash__', '__iadd__', '__imul__',
'__init__', '__iter__', '__le__', '__len__', '__lt__', '__mul__', '__ne__',
'__new__', '__reduce__', '__reduce_ex__', '__repr__', '__reversed__',
'__rmul__', '__setattr__', '__setitem__', '__setslice__', '__str__',
'append', 'count', 'extend', 'index', 'insert', 'pop', 'remove', 'reverse',
'sort']
>>> help(list.reverse) Help on built-in function reverse: reverse(...) L.reverse() -- reverse *IN PLACE*
>>> lst = ['a','b','c']
>>> lst.reverse()
>>> ['c','b','a']
Note: Ignore functions with underscores "_" around the names; these are private helper methods.
>>> pair = (3,5)
>>> pair[0]
3
>>> x,y = pair
>>> x
3
>>> y
5
>>> pair[1] = 6
TypeError: object does not support item assignment
The attempt to modify an immutable structure raised an exception. Exceptions indicate errors: index out of bounds errors, type errors, and so on will all report exceptions in this way.
>>> shapes = ['circle','square','triangle','circle']
>>> setOfShapes = set(shapes)
>>> setOfShapes
set(['circle','square','triangle'])
>>> setOfShapes.add('polygon')
>>> setOfShapes
set(['circle','square','triangle','polygon'])
>>> 'circle' in setOfShapes
True
>>> 'rhombus' in setOfShapes
False
>>> favoriteShapes = ['circle','triangle','hexagon']
>>> setOfFavoriteShapes = set(favoriteShapes)
>>> setOfShapes - setOfFavoriteShapes
set(['square','polyon'])
>>> setOfShapes & setOfFavoriteShapes
set(['circle','triangle'])
>>> setOfShapes | setOfFavoriteShapes
set(['circle','square','triangle','polygon','hexagon'])
Note that the objects in the set are unordered; you cannot assume that their traversal or print order will be the same across machines!
>>> studentIds = {'knuth': 42.0, 'turing': 56.0, 'nash': 92.0 }
>>> studentIds['turing']
56.0
>>> studentIds['nash'] = 'ninety-two'
>>> studentIds
{'knuth': 42.0, 'turing': 56.0, 'nash': 'ninety-two'}
>>> del studentIds['knuth']
>>> studentIds
{'turing': 56.0, 'nash': 'ninety-two'}
>>> studentIds['knuth'] = [42.0,'forty-two']
>>> studentIds
{'knuth': [42.0, 'forty-two'], 'turing': 56.0, 'nash': 'ninety-two'}
>>> studentIds.keys()
['knuth', 'turing', 'nash']
>>> studentIds.values()
[[42.0, 'forty-two'], 56.0, 'ninety-two']
>>> studentIds.items()
[('knuth',[42.0, 'forty-two']), ('turing',56.0), ('nash','ninety-two')]
>>> len(studentIds)
3
As with nested lists, you can also create dictionaries of dictionaries.
Exercise: Use dir
and help
to learn about the functions you can call on dictionaries.
for
loop. Open the file called foreach.py
and update it with the following code:
# This is what a comment looks like
fruits = ['apples','oranges','pears','bananas']
for fruit in fruits:
print fruit + ' for sale'
fruitPrices = {'apples': 2.00, 'oranges': 1.50, 'pears': 1.75}
for fruit, price in fruitPrices.items():
if price < 2.00:
print '%s cost %f a pound' % (fruit, price)
else:
print fruit + ' are too expensive!'
At the command line, use the following command in the directory
containing foreach.py
:
[cs188-tf@solar ~/tutorial]$ python foreach.py
apples for sale
oranges for sale
pears for sale
bananas for sale
oranges cost 1.500000 a pound
pears cost 1.750000 a pound
apples are too expensive!
if
and else
) in Python, check out the official Python tutorial section on this topic.map
and filter
:
>>> map(lambda x: x * x, [1,2,3])
[1, 4, 9]
>>> filter(lambda x: x > 3, [1,2,3,4,5,4,3,2,1])
[4, 5, 4]
lambda
if you're interested.
The next snippet of code demonstrates python's list comprehension construction:
nums = [1,2,3,4,5,6]
plusOneNums = [x+1 for x in nums]
oddNums = [x for x in nums if x % 2 == 1]
print oddNums
oddNumsPlusOne = [x+1 for x in nums if x % 2 ==1]
print oddNumsPlusOne
This code is in a file called listcomp.py
, which you can run:
[cs188-ta@midway ~]$ python listcomp.py
[1,3,5]
[2,4,6]
Those of you familiar with Scheme, will recognize that the list comprehension is similar to the
map
function. In Scheme, the first list comprehension would be
written as:
(define nums '(1,2,3,4,5,6)) (map (lambda (x) (+ x 1)) nums)Exercise: Write a list comprehension which, from a list, generates a lowercased version of each string that has length greater than five. Solution:
listcomp2.py
if 0 == 1: print 'We are in a world of arithmetic pain' print 'Thank you for playing'will output
Thank you for playing
But if we had written the script as
if 0 == 1:
print 'We are in a world of arithmetic pain'
print 'Thank you for playing'
there would be no output. The moral of the story: be careful how you indent! It's best to use four spaces for indentation -- that's what the course code uses.
fruitPrices = {'apples':2.00, 'oranges': 1.50, 'pears': 1.75}
def buyFruit(fruit, numPounds):
if fruit not in fruitPrices:
print "Sorry we don't have %s" % (fruit)
else:
cost = fruitPrices[fruit] * numPounds
print "That'll be %f please" % (cost)
# Main Function
if __name__ == '__main__':
buyFruit('apples',2.4)
buyFruit('coconuts',2)
Rather than having a main
function as in Java, the __name__ == '__main__'
check is
used to delimit expressions which are executed when the file is called as a
script from the command line. The code after the main check is thus the same sort of code you would put in a main
function in Java.
[cs188-ta@midway ~]$ python fruit.py
That'll be 4.800000 please
Sorry we don't have coconuts
Problem 1 (for submission): Add a buyLotsOfFruit(orderList)
function to buyLotsOfFruit.py
which takes a list of (fruit,pound)
tuples and returns
the cost of your list. If there is some fruit
in the list which
doesn't appear in fruitPrices
it should print an error message and
return None
(which is like nil
in Scheme).
Please do not change the fruitPrices
variable.
Test Case:We will check your code by testing that the script correctly outputs
Cost of [('apples', 2.0), ('pears', 3.0), ('limes', 4.0)] is 12.25
Advanced Exercise: Write a quickSort
function in
Python using list comprehensions. Use the first element as the
pivot. Solution: quickSort.py
FruitShop
:
class FruitShop:
def __init__(self, name, fruitPrices):
"""
name: Name of the fruit shop
fruitPrices: Dictionary with keys as fruit
strings and prices for values e.g.
{'apples':2.00, 'oranges': 1.50, 'pears': 1.75}
"""
self.fruitPrices = fruitPrices
self.name = name
print 'Welcome to the %s fruit shop' % (name)
def getCostPerPound(self, fruit):
"""
fruit: Fruit string
Returns cost of 'fruit', assuming 'fruit'
is in our inventory or None otherwise
"""
if fruit not in self.fruitPrices:
print "Sorry we don't have %s" % (fruit)
return None
return self.fruitPrices[fruit]
def getPriceOfOrder(self, orderList):
"""
orderList: List of (fruit, numPounds) tuples
Returns cost of orderList. If any of the fruit are
"""
totalCost = 0.0
for fruit, numPounds in orderList:
costPerPound = self.getCostPerPound(fruit)
if costPerPound != None:
totalCost += numPounds * costPerPound
return totalCost
def getName(self):
return self.name
The FruitShop
class has some data, the name of the shop and the prices per pound
of some fruit, and it provides functions, or methods, on this data. What advantage is there to wrapping this data in a class?
FruitShop
implementation in shop.py
.
We then import the code from this file (making it accessible to other scripts) using import shop
, since shop.py
is the name of the file. Then, we can create FruitShop
objects as follows:
import shop
shopName = 'the Berkeley Bowl'
fruitPrices = {'apples': 1.00, 'oranges': 1.50, 'pears': 1.75}
berkeleyShop = shop.FruitShop(shopName, fruitPrices)
applePrice = berkeleyShop.getCostPerPound('apples')
print applePrice
print('Apples cost $%.2f at %s.' % (applePrice, shopName))
otherName = 'the Stanford Mall'
otherFruitPrices = {'kiwis':6.00, 'apples': 4.50, 'peaches': 8.75}
otherFruitShop = shop.FruitShop(otherName, otherFruitPrices)
otherPrice = otherFruitShop.getCostPerPound('apples')
print otherPrice
print('Apples cost $%.2f at %s.' % (otherPrice, otherName))
print("My, that's expensive!")
You can download this code in shopTest.py
and run it like this:
[cs188-ta@midway ~]$ python shopTest.py
Welcome to the Berkeley Bowl fruit shop
1.0
Apples cost $1.00 at the Berkeley Bowl.
Welcome to the Stanford Mall fruit shop
4.5
Apples cost $4.50 at the Stanford Mall.
My, that's expensive!
So what just happended? The import shop
statement told Python to load all of the functions and classes in shop.py
.
The line berkeleyShop = shop.FruitShop(shopName, fruitPrices)
constructs an instance of the FruitShop
class defined in shop.py, by calling the __init__
function in that class. Note that we only passed two arguments
in, while __init__
seems to take three arguments: (self, name, fruitPrices)
. The reason for this is that all methods in a class have self
as the first argument. The self
variable's value is automatically set to the object
itself; when calling a method, you only supply the remaining arguments. The self
variable contains all the data (name
and fruitPrices
) for the current specific instance (similar to this
in Java).
The print statements use the substitution operator (described in the Python docs if you're curious).
person_class.py
containing the following code:
class Person:
population = 0
def __init__(self, myAge):
self.age = myAge
Person.population += 1
def get_population(self):
return Person.population
def get_age(self):
return self.age
We first compile the script:
>>> import person_class
>>> p1 = person_class.Person(12)
>>> p1.get_population()
1
>>> p2 = person_class.Person(63)
>>> p1.get_population()
2
>>> p2.get_population()
2
>>> p1.get_age()
12
>>> p2.get_age()
63
In the code above, age
is an instance variable and population
is a static variable.
population
is shared by all instances of the Person
class whereas each instance has its own age
variable.
shopSmart(orders,shops)
in shopSmart.py
, which takes an orderList
(like the kind passed in to FruitShop.getPriceOfOrder
) and a list of FruitShop
and returns the FruitShop
where your order costs the least amount in total. Don't change the file name or variable names, please. Note that we will provide the shop.py
implementation as a "support" file, so you don't need to submit yours.
Test Case:We will check that, with the following variable definitions:
orders1 = [('apples',1.0), ('oranges',3.0)]
orders2 = [('apples',3.0)]
dir1 = {'apples': 2.0, 'oranges':1.0}
shop1 = shop.FruitShop('shop1',dir1)
dir2 = {'apples': 1.0, 'oranges': 5.0}
shop2 = shop.FruitShop('shop2',dir2)
shops = [shop1, shop2]
The following are true:
shopSmart.shopSmart(orders1, shops).getName() == 'shop1'
and
shopSmart.shopSmart(orders2, shops).getName() == 'shop2'
range
to generate a sequence of integers, useful for generating traditional indexed for
loops:
for index in range(3): print lst[index]
reload
command:
>>> reload(shop)
Solution:
When using import
, do not include the ".py" from the filename.
For example, you should say: import shop
NOT: import shop.py
Solution:
To access a member of a module, you have to type MODULE NAME.MEMBER NAME
, where MODULE NAME
is the name of the .py
file, and MEMBER NAME
is the name of the variable (or function) you are trying to access.
Solution:
Dictionary looks up are done using square brackets: [ and ]. NOT parenthesis: ( and ).
Solution:
Make sure the number of variables you are assigning in a for
loop matches the number of elements in each item of the list.
Similarly for working with tuples.
For example, if pair
is a tuple of two elements (e.g. pair =('apple', 2.0)
) then the following code would cause the "too many values to unpack error":
(a,b,c) = pair
Here is a problematic scenario involving a for
loop:
pairList = [('apples', 2.00), ('oranges', 1.50), ('pears', 1.75)] for fruit, price, color in pairList: print '%s fruit costs %f and is the color %s' % (fruit, price, color)
Solution:
Finding length of lists is done using len(NAME OF LIST)
.
Solution:
reload(YOUR_MODULE)
to guarantee your changes are being reflected.
reload
works similar to import
.