Introduction to Python and Web Programming

Intro to Python &
Web Programming
For Beginners
San Diego Python Users Group
Kendall Chuang, David Fischer, Trey Hunner, David Neiss

Monday, January 28, 13

Introductions
• Your name
• Your Python experience and software
background
• What you would like to do with Python?
This helps us better focus the training for
the next iteration


Thanks to Sponsors:

• Ansir Innovation Center = big thanks for
the space
• Python Software Foundation = $ for food
• San Diego Python Users Group =
volunteers


SD Python Users Group

• Started by Kendall Chuang and David Fischer
• Appx 300 people
• Free, monthly meet-ups. Usually last Thursday
• 7:30, appx 1.5 hours, @Ansir
• Usually one or two speakers
• All experience levels
• Listed on sdtechscene.org and meetup.com
• (optional) after meeting @ pub


Today’s Overview
• Morning learn & do
• Lunch break around 12
• Afternoon, learn & do
• Do project
• Bathroom locations, wiﬁ login/pw, parking
reminder


Today’s Goals
1. Breadth (not depth) coverage of Python
2. Reading Python, but not necessarily writing it
3. Learn how to ﬁgure out Python for yourself:
a. try it in the Python shell
b. help() in the Python shell
c. google “The Python Tutorial” in Python docs
d. google/stack overﬂow


The Python Interpreter

• The “python” executable
• Compiles Python source code into Python
byte codes (the .pyc ﬁles you will see in
your dirs)
• Can be used to run entire programs or
interactively (the “shell” mode)


Python Shell
• Fosters “exploratory/interactive programming”
• Prints expression values automatically
• >>> is the shell prompt
• help() - enters into a help mode
• dir() - prints names in module’s namespace
• Use up arrow to retrieve last command
• Can be used as a calculator, for example, 1*2*3*4*5 to
compute 5!
• quit via exit()


Do
• Startup the Python shell
• help() to enter the help system
• Type “list” to get help on Python’s Lists
• “quit” to exit help mode
• Alternatively, you can just type help(list)
• dir() to get a dump of names in current scope
• quit() or CTRL-D to exit the shell
• print ‘hello world’ to print the string “hello world”
• Compute the number of seconds in a day using the shell
interactive mode


Print Statement
• Before we do anything, we need a way to look at values
using the print command.
• print <expression>
• <expression> can be a literal, variable, or expression:
print “hello world” # this is a literal
print 1+1 # 1+1 is an expression
myTeam = “Chargers” # myTeam is a variable
print myTeam # print out the value of myTeam


Print Formatting
• For string literals, you can use single or double quotes
• For substitutions into a string, use %s for strings and ints

# Dynamic HTML generation in Python!
print “<title>%s</title>” % “MyWebSite”
print “size=%d” % 10

• For multiple values, surround with parenthesis (called a tuple)
print ‘<img src=”%s” alt=”%s”>’ %
(“www.foo.com/x.png”, “A picture”)


Do

• Print your name
• Print your name and house number using
print formatting string “I am %s, and my
house address number is %s” and a tuple


User Input
• raw_input() is a built in function
• Use raw_input(“user prompt”)
• Prints the “user prompt” and then waits for
user input followed by return key
• raw_input() returns what user entered
• Assign raw_input() to a variable, val =
raw_input()


Do

• Ask the user to enter their name, by typing
the following into the Python shell,
raw_input(“Hi sexy, what’s your name?”)
• Next, print “Hey <yourName>, you are
kinda cute” and substitute the user input
for <yourName>.


Variables
• Created using an arbitrary name (certain rules apply, must
start with a letter, case sensitive, not be a reserved
word,...) For example, “tweet” or “this_URL” or “jsonData”
• Dynamically bound to objects of specific data types at
assignment time. For example, errCode=404 (an int),
url=‘www.cnn.com’ (a string), pi=3.1415 (a float)
• No need to declare types. type is inferred from object. In
the previous case, we would have an int, string, and float
type
• Type can be determined using type(variable)


Variables...

• When a variable isn’t bound to anything, its
type is “NoneType”
• If you assign a variable to a function that
has no return value, you get None
• to test a variable for “none-ness”, use “var
is None”, which is a bool expression


Do
• Create a variable using your name and assign
an integer of your birth month to it
• Print the variable and print its type
• Assign a string of your birth month to the
same variable
• Now print the variable and print its type
• Notice that the type of the variable changes
with the data


Boolean (bool)
• two values, True or False
• case sensitive
• “and” does boolean AND operation. Only True of both
are True
• “or” does boolean OR operation. True if either are
True
• “not” does boolean inversion. not True == False
• == for comparison (not single equals, that’s assignment)


Integers and Floats
• Usual operators +, -, *, /, **
• +=, *=, /=, -= shortened forms. No ++ or -- operators
as in C/Java
• Integers have arbitrary precision(!), try 2**1000. Floats
don’t (try 2.1**1000)
• Floating point number must have decimal point
• Note difference between 5/2 and 5.0/2
• use int(value) and ﬂoat(value) to convert into that type


Strings
• Use quotes around text
• Single or double quotes, but must match
• If string must contain quotes, escape it with backslash. For
instance “he said ”Wow!””
• Immutable
• len() for length
• type() == str
• Use str() to convert a type to a string. str(2) == “2”
• Use triple quoting to continue text after an end-of-line (which
normally terminates a line)


String Operations
• Concatenation via +, returns new string combining both
• Concatenation via *, repeats string N times
• string.upper(), converts string to upper case
• string.swapcase(), swaps case of chars in string
• string.split(), splits string and returns list of words
• string.strip(), removes leading and trailing white space, returns new
string
• string.count(“whatToCount”)
• string.replace(“this”, ”withThat”), returns new string with changes
• string.ﬁnd(“whatToFind”, fromIndex) - returns index of whatToFind in
string starting at position fromIndex, -1 if not found
• Many more, look in docs


Do
• Create two variables, one assigned to “http://www.” and another to
“cnn.com”
• Concatenate (join) the two into a third variable so you get a
complete URL
• Create another variable with the complete URL repeated 10 times,
but with a comma between the URLs
• Split the string “<h1> This is an HTML header </h1>” into its space
delimited words
• Count the number of occurrences of “jpg” in this string “a.jpg, b.gif,
c.jpg, d.png”
• From the URL string “www.facebook.com” create a new string and
replacing “facebook” with “twitter”.


Splicing
• 0 indexed/based - as per C/Java/C#
• Examples:
• S = ‘hello world’
• S[0] = ‘h’
• S[1] = ‘e’
• S[-1] = ‘d’
• S[1:3] = ‘el’
• S[:-2] = ‘hello wor’
• S[2:] = ‘llo world’


Do
• Crate a string contain the following JSON encoded
information: [ {color : ”red” , value : ”#f00” } ]
• Use .replace(this,withThat) to remove all whitespace
from the string
• Find the index to the first quote, use .find(“””)
• Find the index to the second quote,
use .find(“””,firstIndex+1)
• Extract the value mapped to color (in this case red)
which is between the first two quotes, using the splicing
operator and the indexes found in the 2 previous steps


Lists
• Create a new list with [ ] or list()
• Lists are arrays that can change size, elements can be changed, added or
removed
• Elements or a list can be of mixed types, including other lists
• Supports splice operations
• For example
rssTags = [“<channel>”,”<title>”,”<pubDate>”,
”<rss>”]
print type(rssTags) # type is ‘list’
print rssTags[1:3] # supports slicing
rssTags[0] = “<link>” # mutable
print len(rssTags) # returns length of list


Lists...
• list.sort() # sorts the list in place (doesn’t return sorted
list)
• list.reverse() #reverses list in place
• list.append(item) # appends item to end of list
• list.remove(item) # removes item from list
• list.count(item) # counts number of items in list
• del list[index] # removes elements, can use splice
indexing
• bounds checked, throws exception


Do
• Create a list of 5 strings of URLs
• Using splicing, print the second and third elements of the list
• Print the length of the list
• Sort the list
• Reverse the list
• Remove the ﬁrst entry in the list
• Append the number 100 to the list. Notice that the list contains
strings and numbers.
• Try to access the 100th element in the list and explain what
happened


Dictionaries
• Can be created via dict(), {}, or {key1:val1, key2:val2, ...}
• A set of key:value pairs
• Unordered - probably should really be called a map not a dictionary (actual
ordering is based on hash of key, so key must be hashable and constant)
• Can grow and shrink
• Speciﬁc values are accessed via [key]
• Add new values via [newKey] = newValue
• Remove values via del dict[key]
• Use dict.has_key(key) (or, “key in dict”) to determine if key is contained
• Accessing undeﬁned values generates an exception
• len() returns number of key/value pairs in dict


Do
• Create an empty dictionary to keep track of user preferences as
key/value pairs
• Add in 3 key/value pairs mapping a user preference string to a
value for the following pairs, “userName”-> some string,
“autoLogout” -> a bool, and “maxLoginTime” -> any integer
• Print the contents of the dictionary. What order are the entries?
Why?
• Add in a new key/value pair “homePage” -> “www.cnn.com”
• Query the dict to return the value for the key “userName”
• Change the value associated with “userName” to a different name
• Delete the “homePage” key/value pair from the dict


Sets
• Contains a set of data where there are no duplicates
• Created by or {values,...} or set([1,2,3]) (but not {}, which creates
an empty dict)
• Supports union, intersection, difference operations
• set.add(value) to add a value
• set.remove(value) to remove value
• set.intersection(anotherSet) to ﬁnd the elements in common to
both
• set.union(anotherSet) to combine anotherSet into this set,
removes duplicates
• set.difference(anotherSet) removes anotherSet members from
this set
• element in set - in operator tests for inclusion in set


Do
• Create two small sets of URLs you visited today and yesterday
• Check if “www.cnn.com” is in either set
• Create a union of the two sets. Are there are duplicates in the
union? Why not?
• Lets say you visited “www.xyz.com” today. Add that to your set
representing today’s URLs
• Print the set of all the URLs that you visited on both days (the union)
• Print only the URLs that you visited on both today and yesterday (the
intersection)
• Print only the URLs that you visited today but not yesterday (the
difference)
• See how handy sets can be?


Aliasing
• Variables refer to underlying objects
• Assigning one variable to another makes both point to the same object
• If both point to same object, one can appear to change the other
a = [1,2,3]
b = a
id(a) == id(b) # true
a[0] = 99
print b # notice that b got changed
• Use copy operations to make copies/deep copies
b = a[:]
id(a) == id(b) # false
a = [1, [2,3], 4]
b = copy.deepcopy(a) # import copy first
id(a[1]) == id(b[1]) # false


if/elif/else statements
• Used to conditionally perform operations
• Formatted as “if expression:”
• Note the trailing colon which is required - will trip up C/C++ programmers
• Conditional block must be indented, either spaces or tabs. All code in block
must have same indentation
For example:
a = 11
if a > 10:
print “a is greater than 10”
elif a>= 10 and a <= 20:
print “a is between 10 and 20”
else:
print “a is greater than 20”


for loops
• Used to iterate over a sequence, such as a list or set
for searchTerm in [“PERL”,”Python”,”C”]:
googleFor(searchTerm)

• Use range(low, high, step) to generate a range of numbers
to iterate over
for b in range(1,10,2):
print b # odd numbers from 1 to 9


for loops
• continue - continues with the next cycle of the loop., skipping rest of code in
block. For example:
for i in range(1,1000):
if someSpecialCondition(i):
continue
doSomethingWith(i)

• break - breaks out of the innermost loop. For example:
while True:
if someCondition():
break


Do

Compute the product of all
numbers that are a multiple of
5 between 5 and 100, inclusive
(e.g., 5, 10, 15,.... 100)


Functions
• why? abstraction, program decomposition, code reuse/
reduce duplication
• declare functions with “def name(argList):”
• function name must follow naming rules (and not use a
reserved word as its name)
• function body (line following def) must be indented
• end the function with a return statement if you are returning
a value; otherwise, no return statement is necessary. Note
that function doesn’t declare its return type. Functions that
don't have return values effectively return “None”


Arguments
• argList is a comma separated list of argument names. You
select the argument names that make sense for the function
• as usual in Python, argument types are not declared
explicitly
• arguments are passed “by reference”, so a function could
change their values (if they are mutable types)
• If you don’t want function to change values passed in by
reference, make deep/copy or use immutable type (tuple)
• Advanced - Python supports default argument values,
named arguments, and variable number of arguments


Variable scopes
• Variables defined outside a function are
global to that file
• Variables defined within a function are local
to that function
• Objects can be returned from the function
via the “return” statement
• Variables, functions, classes in other modules
may be accessed in multiple ways (will be
discussed in upcoming Modules slides)


Example
• Create a function that accepts a list of URL strings and return a dictionary
mapping the URL to the number of times it was visited

sites = ["www.cnn.com","www.yahoo.com","www.facebook.com",
"www.cnn.com","www.yelp.com", "www.facebook.com"]

def countVisits(sitesVisited):
numVisited = dict()

for site in sitesVisited:
if numVisited.has_key(site):
numVisited[site] = numVisited[site] + 1
else:
numVisited[site] = 1
return numVisited;

print countVisits(sites)


Do

• Write a function that accepts a string
containing the name of a site and returns a
proper HTTP URL for that site
For example for “yelp”, return “http://
www.yelp.com”, so preﬁx it with “http://
www.” and sufﬁx it with “.com”


Exceptions
• Exceptions indicate an error condition
• “throw” means that the exception has
occurred
• Python can throw exceptions or you can throw
them
• Used to simplify error handling since error
handing need not be locally coded
• An advanced topic, but not complicated


Exceptions...
• coded as try/except blocks:

try:
.
.
doSomethingThatCouldThrowException()
if somethingBad:
raise anException()
.
.
except typeOfExceptionToCatch:
handleException()


Classes
• Objects must be allocated via className(argList)
• Allocation may include additional arguments used to initialize the object
• Methods (or member functions) may be invoked using dotted notation
• Objects can be deleted with del() or simply by overwriting the
reference
• For instance:
from datetime import date
date1 = date(2001,1,1) # allocate instance and supply
construction arguments
type(date1) # type datetime.date, user-defined type
date2 = date(2013,1,1)
delta = date2 - date1 # notice use of difference operator
on user-defined types
print delta.total_seconds() # invoke member function
total_seconds to compute seconds


Modules & Python
Program Structure

• Python files run from top to bottom
• Import statements run their imported files
(modules)
• Imported files may import their own set of
files


Modules
• Modules allow for decomposition of programs
into packages of code & data, to facilitate
• Code reuse
• System namespace partitioning
• Each file is a module, which defines a
namespace
• Modules import other modules to access the
names they define


Modules...
• import modName - lets a client fetch a
module as a whole. Inserts into local
namespace as modName.XXX
• from modName import foo - allows clients
to fetch particular names from a module
into this namespace as foo
• imp.reload modName - provides a way to
reload a module w/o restarting python


Python Program
Structure
• import statements
• function and class deﬁnitions
• module scope variables and code
• Code executes from top to bottom of ﬁle
(as opposed to main() )


Python program
structure...
def foo(): import a
print “foo” a.foo()

ﬁle:a.py ﬁle: b.py

• Running a.py does nothing except declare the
foo function
• When B is run, A’s foo is imported as a.foo
• Running b.py prints “foo”

File I/O
• The File type object is actually built into the language
as a type
• You can only get an instance with the open(fileName,”r
+”) method. “r+” = read and write.
• f.read() returns whole file as a string
• f.readlines() returns a list of strings, one for each line in
file
• f.write(data) to write data to file
• f.close() to close file when finished


Do
• Create a file named “test”, open it, and
write “hello worldn” and then “i love
pythonn” into it and close it
• Open the file, read its contents and close it
• From outside the Python shell, verify that
file named “test” was created and contains
the two strings on separate lines


The Python Standard
Library

• Included with Python (no need to
download 3rd party libs)
• What follows is a small subset
• Selected to help pique your interest


CSV Files
• CSV = Comma Separated Values
• Common format for spreadsheets and
databases
• Python includes a csv module to make
reading and writing of CSV ﬁles easier
• Handles different “dialects” of ﬁle formats


csv Module
• To write:
f = file(“myData.csv”,”r+”)
myWriter = csv.writer(f)
myWriter.writerow([“www.cnn.com”, ”news”, ”hourly”])
myWriter.writerow([“www.yelp.com”, ”reviews”, ”daily”])
f.close()
• Could use .writerows(arg) if arg is a list of lists
• To read:
f = file(“myData.csv”,”r”)
myReader = csv.reader(f)
for rowAsList in myReader:
print rowAsList


Do
• Create several rows of data with each row
having a name string, and address string, and
a zip code number as a list of lists.
• Write all of the rows of data to a CSV ﬁle
using .writerows()
• Open the CSV ﬁle outside of Python and
verify that all the rows were written


JSON Processing

• JSON encoding is very popular on the web
• json.org has the spec, but looks similar to
Python dicts
• Can contain objects (maps) and lists of
strings, numbers, booleans, null, or other
maps and lists


json Module
• To read/write JSON, use the json module
• For input, parses JSON string into its value
val=json.loads(jsonString)
• For output, converts a value to a JSON
encoded string
jsonString=json.dumps(value)


Do
{
"red":"#f00",
"green":"#0f0",
"blue":"#00f"
}
• Parse the above string using json.loads() into a dict. Once
in the dict, change “green” to “#fff” and then encode back
to JSON string using json.dumps() and print the resultant
string.


datetime module
• Captures date & time stamps
• Allows manipulations (addition & subtraction
of time, comparing time stamps,
• class datetime.now() returns a datetime
object with a date&time stamp when
statement is run
• class datetime.timedelta contains the
difference between two datetime objects


Do
This program should print the time to write a ﬁle but has two bugs in
it that prevent it from working correctly. Fix the bugs and make it run
so that it prints the proper amount of time. How long did it take?

import datetime

def WriteToFile(fileName, textToWrite):

f = open(fileName,”r”)

f.write(textToWrite)

f.close()

timeBefore = datetime.now()

WriteToFile(“testFile”,”hello world”);

timeAfter = datetime.now()

print timeBefore - timeAfter


random Module
• Used to generate “pseudo” random numbers
• random.randint(a,b) generates a random
number between a and b inclusive, uniform
distribution
• random.choice(seq) randomly selects one of
the elements in the seq
• random.shufﬂe(seq) shufﬂes the sequence


The following code is supposed to generate a deck
of cards, shufﬂe them, and then print out the
shufﬂed deck. One line is missing, causing it to fail.
What is that one line? Add it and make it run.
import random

def UnshufledDeckOfCards():
deck = []
for num in range (1,11):
for suit in ["hearts", "clubs", "diamonds", "spades"]:
deck.append( str(num) + " of " + suit)

deck = UnshuffledDeckOfCards()
print "Unshuffled deck:"
print deck

random.shuffle(deck)
print "Shuffled deck:"
print deck


socket module
• Provides low level networking interface called sockets
• Normally, one uses the higher level networking
abstracts, but this is available
• Supports client and server modes
• socket.socket(socket.AF_INET, socket.SOCK_STREAM)
• socket.connect( (host, port) ) connects to server
• socket.sendall(stuffToSend) sends message to server
• socket.recv(NumBytesToRx) receives up to num bytes


Do
Enter the following code and run it and look at
the output. If it ran, you just talked to Google’s
web server and fetched part of their home page!
import socket
sock = socket.socket(socket.AF_INET,
socket.SOCK_STREAM)
sock.connect( ("www.google.com",80) )
sock.sendall("GET / HTTP/1.0nrnr")
httpResponse = sock.recv(1000)
print httpResponse


telnetlib module
• Supports the telnet protocol
• Allows you to login to a telnet session and
send and receive text
• telnetlib.Telnet(host) connects to host via
Telnet protocol, returns connection object
• .write(text) sends text to server
• .read_until(text) reads from server until ﬁnds
“text” and returns all data read


Do
Enter this code and run it. Look at the output. If
successful, you just connected to the Villanova
library’s Telnet server.

import telnetlib

# Villanova Law Library server
HOST = "153.104.15.249"
tn = telnetlib.Telnet(HOST)

print tn.read_until("DISCONNECT")


X/HTLM Parsing
• Two models, stream based (SAX) or document based (DOM)
• A simple stream based parser is available in the module
HTMLParser
• You must derive from the HTMLParser class and implement
functions to receive callbacks for those parsing events
• handle_starttag - <html>
• handle_endtag - </html>
• handle_data - for data between tags
• Throws a HTMLParseError in the event that gets too
confused to parse


Enter the following code, run it, and watch the
output. Explain how you would modify it to
extract just the text between the tags
<h1> and </h1>
from HTMLParser import HTMLParser

# create a subclass and override the handler methods
class MyHTMLParser(HTMLParser):
def handle_starttag(self, tag, attrs):
print "Encountered a start tag:", tag
def handle_endtag(self, tag):
print "Encountered an end tag :", tag
def handle_data(self, data):
print "Encountered some data :", data

# instantiate the parser and fed it some HTML
parser = MyHTMLParser()
parser.feed('<html><head><title>Test</title></head>'
'<body><h1>Parse me!</h1></body></html>')


Regular Expressions
• RE (regular expressions) module allows you
to do pattern matching
• RE is a small language that defines rules for
matching patterns in text
• For instance, find a string followed by @
followed by a string followed by .com to
find an email addresses in a string
• Optimized for very fast execution

RE Example
• The following is a Python script demonstrating a
Python script, fetching an RSS feed, and searching for a
RE in the received page
• It is to be run via “python script.py ‘re-expression’ “
• For example, “python script.py Kardashians”
• Fetches the People magazine headlines RSS feed
• Searches for occurrences of the RE in the feed
• If any were found, prints a message, otherwise indicates
that none were found


import re # regular expressions

import urllib2 # URL access

import sys # for argv

# Use the first arg as RE search term

whatToFind = sys.argv[1]

# Fetch the headlines from People magazine

response = urllib2.urlopen("http://rss.people.com/web/people/rss/
topheadlines/index.xml")

if response.code == 200:

strings = re.findall(whatToFind,response.read())

if len(strings) == 0:

print "Thankfully, another day without news"

else:

print "In the news again"

else:

print "Error fetching the URL”


Web Server

• Python includes a library to implement a
simple web server, SimpleHTTPServer
• Serves ﬁles from the current directory and
below, mapping the dir structure to HTTP
requests


Enter the following code into a ﬁle and run it. Fire up
your browser and enter localhost:8000 as the URL.
Your browser should talk to this Python server code,
which should will a web page of the directory in which
you started the Python interpreter in. Pretty cool!
import SimpleHTTPServer
import SocketServer
PORT = 8000
Handler =
SimpleHTTPServer.SimpleHTTPRequestHandler
httpd = SocketServer.TCPServer(("",
PORT), Handler)
print "serving at port", PORT
httpd.serve_forever()


Web Service Clients
• Using HTTP to make requests of servers
• Usually requires a 3rd party library not part of
the Python standard library, such as SUDS
• Client libraries like SUDS can read a WSDL ﬁle
and generate what looks like a Python class
with member functions which perform all
communications with the server, making server
communications look as simple as a regular
function call


GUIs

• There are several options here:
• Tkinter
• PyQT
• wsPython


Need more?

• Look over the standard library docs at
http://docs.python.org/2/library/
• PyPI - Python Package Index, http://
pypi.python.org/pypi
• Appx 30,000 packages in PyPI (!)


Python Twitter
Project


Python Project

• Using your browser, download the Twitter
example and unzip the project on your
computer from here:
• https://github.com/pythonsd/twitter-
example


Project Problem 1

• Run the command python sample_search.py
• The response.json returns the JSON object as
a Python data type. What data type is it? (e.g. ,
List, String, Dictionary, Tuple)


Project Problem 2

• Create a new output text file and write the
response.json to the file
• Open up the output file in another text
editor and check the result


Project Problem 3

• Print out the count of how many “tweets”
there are in the results
• For example
• Tweet Count: n


Project Problem 4

• Create and print a new list of the tweet
‘text’ from the results of the search


Project Problem 5

• Create and print a new list of the tweet
‘from_user’ from the results of the search


Project Problem 6

• From the results, create and print a
dictionary with the ‘from_user’ strings as
the keys and the ‘text’ as the values of a
Python dictionary.


Resources

• http://www.codecademy.com/
• The ofﬁcial Python tutorial: http://
docs.python.org/tutorial/
• Think Python: http://openbookproject.net/
thinkcs/python/english2e/
• Learn Python with games: http://
inventwithpython.com/chapters/


Resources
• Udacity CS 101: http://www.udacity.com/
overview/Course/cs101/CourseRev/apr2012
• Coursera: https://www.coursera.org/course/
programming1
• Learn Python The Hard Way, 2nd Edition
• http://bit.ly/python-lug (Free online)
• Paperback book costs $15.99
• http://learncodethehardway.org

Upcoming Events
• PyLadies
• Join the PyLadies group, encourage women to
learn Python
• Monthly Meeting January 24th
• Meet our regular Python developers
• Django Day February 23
• Learn to program a web app!
• November 2-3, BrightScope


Follow Us
• www.meetup.com/pythonsd
• www.meetup.com/sd-pyladies
• www.pythonsd.org
• groups.google.com/group/pythonsd
• @sandiegopython


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