SlideShare a Scribd company logo
Intro to Python
   by Daniel Greenfeld
Intro to Python
                 a.k.a.
21 cool things you can do with Python
Tons of content
• Please hold your questions until the end
• Latest slides will be made available
• Special thanks to:
   • Raymond Hettinger
   • David Beazley
   • Audrey Roy
   • The Python community
Daniel Greenfeld
                                       • pydanny
                                       • twitter.com/pydanny
                                       • github.com/pydanny
                                       • pydanny.blogspot.com
                                       • pydanny-event-notes.rtfd.org
   IMG goes here


http://www.flickr.com/photos/pydanny/4442245488/
Daniel Greenfeld
                    • Python/Django Developer
                    • Cartwheel Web
                      • Makers of
                      • Makers of Open Comparison
                    • Los Angeles
   IMG goes here    • Capoeira
                    • Fiancee is Audrey Roy
http://www.flickr.com/photos/pydanny/4442245488/
Intro to Python
Who uses Python?
    All the cool kids do!
Who uses Python?
What is Python?
What is Python?
• Over 20 years old
• Dynamic, strongly typed scripting language
• Multi-paradigm programming language
 • Object Oriented
 • Functional
 • Procedural
 • Reflective
What is Python?
• Free and open source
• Fast enough
 • Check out PyPy
• Batteries included language
What is Python?




       http://en.wikipedia.org/wiki/File:Flyingcircus_2.jpg




It’s named after Monty Python
Python is similar to...
• Perl
• Ruby
• Lisp
• Java
Python is different than...
• Perl
• Ruby
• Lisp
• Java
Python Core Concepts
Whitespace!
""" whitespace.py """
from random import randrange

def numberizer():
    # Generate a random number from 1 to 10.
    return randrange(1, 11)

number = numberizer()
if number > 5:
    print("This number is big!")

class RandomNumberHolder(object):
    # Create and hold 20 random numbers using numberizer

    def __init__(self):
        self.numbers = [numberizer(x) for x in range(20)]

random_numbers = RandomNumberHolder()
Whitespace!


def numberizer():
    # Generate a random number from 1 to 10.
    return randrange(1, 11)
Whitespace!


number = numberizer()
if number > 5:
    print("This number is big!")
Whitespace!

class RandomNumberHolder(object):
    # Create and hold 20 random numbers
        # using numberizer

   def __init__(self):

       self.numbers = [numberizer(x) for x...

random_numbers = RandomNumberHolder()
Philosophy of
        Core Developers
• Conservative growth
• Aim for a simple implementation
• “We read Knuth so you don’t have to”
Zen of Python
>>> import this
The Zen of Python, by Tim Peters

Beautiful is better than ugly.
Explicit is better than implicit.
Simple is better than complex.
Complex is better than complicated.
Flat is better than nested.
Sparse is better than dense.
Readability counts.
Special cases aren't special enough to break the rules.
Although practicality beats purity.
Errors should never pass silently.
Unless explicitly silenced.
In the face of ambiguity, refuse the temptation to guess.
There should be one-- and preferably only one --obvious way to do it.
Although that way may not be obvious at first unless you're Dutch.
Now is better than never.
Although never is often better than *right* now.
If the implementation is hard to explain, it's a bad idea.
If the implementation is easy to explain, it may be a good idea.
Namespaces are one honking great idea -- let's do more of those!
Culture of Documentation
• Django Web Framework
 • http://djangoproject.com
• Document everything and document well
• Make your documentation accessible
 • http://readthedocs.org
 • http://python-requests.org
 • http://bit.ly/oc_ref (Open Comparison reference)
Which Python?
For learning and simple scripting...

Use what is on your
 system by default.
    If you are running Linux or
   BSD you already have Python
$
$ python
Python 2.7.1+ (r271:86832, Apr 11 2011,
18:13:53)
[GCC 4.5.2] on linux2
Type "help", "copyright", "credits" or
"license" for more information.
>>>
>>> 3 + 4
7
>>> a = 5 * 10
>>> a
50
>>> def add(a, b):
...     return a + b
...
>>> add(3,4)
7
>>> add('Py','thon')
'Python'
Don’t have Python yet?


   Download 3.2
Unless you are working with a tool
with a specific Python dependency
 (e.g. Django requires Python 2.7)
21 cool things you
can do with Python
#1 Run it anywhere
  Linux                  Windows
FreeBSD                  Mac OS X                         JVM
OpenBSD                   Solaris                        .NET
NetBSD                    HP-UX                        Android OS
  BSD                      OS/2
     http://en.wikipedia.org/wiki/CPython#Supported_platforms
#2 Learn it fast
     Python is easy to learn but powerful.

Experienced developers get up to speed in days.

Lots of tutorials in the area taught by PyLadies.

      http://learnpythonthehardway.org/
#3 Introspect
                a.k.a Introducing the String type
>>> foo = 'bar'
>>> spam = 'eggs'
>>> fun = 'spam and EGGS   '
                                   dir() is a Python built-in function
>>> dir(fun)
['__add__', '__class__', '__contains__', '__delattr__', '__doc__',
'__eq__', '__format__', '__ge__', '__getattribute__', '__getitem__',
'__getnewargs__', '__getslice__', '__gt__', '__hash__', '__init__',
'__le__', '__len__', '__lt__', '__mod__', '__mul__', '__ne__',
'__new__', '__reduce__', '__reduce_ex__', '__repr__', '__rmod__',
                                http://en.wikipedia.org/wiki/File:Flyingcircus_2.jpg
'__rmul__', '__setattr__', '__sizeof__', '__str__','__subclasshook__',
'_formatter_field_name_split', '_formatter_parser', 'capitalize',
'center', 'count', 'decode', 'encode', 'endswith', 'expandtabs',
 'find', 'format', 'index', 'isalnum', 'isalpha', 'isdigit', 'islower',
'isspace', 'istitle', 'isupper', 'join', 'ljust', 'lower', 'lstrip',
'partition', 'replace', 'rfind', 'rindex', 'rjust', 'rpartition',
'rsplit', 'rstrip', 'split', 'splitlines', 'startswith', 'strip',
'swapcase', 'title', 'translate', 'upper','zfill']
#3 Introspect
                 a.k.a Introducing the String type
>>> fun
'spam and EGGS     '
>>> fun.strip()
'spam and EGGS'               type() returns the type of object
>>> spam.title()
'Spam And Eggs   '
>>> fun.capitalize()
'Spam and eggs   '
>>> fun.index('a')       Line comments start with ‘# ‘
2
>>> type(fun)
<type 'str'>
>>> len(fun) # built-in that gives length of object
16
>>> fun[0:5] # String slicing             help() is a
'spam '
>>> help(fun)                           Python built-in
no Python documentation found for 'spam and EGGS      '
>>> help(str)
                                     str is the Python
                                     string type object
#3 Introspect
                a.k.a Introducing the String type
>>> help(str)
Help on class str in module __builtin__:

class str(basestring)
 | str(object) -> string
 |
 | Return a nice string representation of the object.
 | If the argument is a string, the return value is the same object.
 |
 | Method resolution order:
 |      str
 |      basestring
 |      object
 |
 | Methods defined here:
 |
 | __add__(...)
 |      x.__add__(y) <==> x+y
 |
 | __contains__(...)
 |      x.__contains__(y) <==> y in x
#3 Introspect
                a.k.a Introducing the String type
>>> help(str)
| capitalize(...)
|      S.capitalize() -> string
|
|      Return a copy of the string S with only its first character
|      capitalized.
|
| center(...)
|      S.center(width[, fillchar]) -> string
|
|      Return S centered in a string of length width. Padding is
|      done using the specified fill character (default is a space)
|
| count(...)
|      S.count(sub[, start[, end]]) -> int
|
|      Return the number of non-overlapping occurrences of substring sub
in
|      string S[start:end]. Optional arguments start and end are
interpreted
|      as in slice notation.
#4 Things with Strings
>>> scale = 'Southern California Linux Expo'
>>> scale[0]
'S'
>>> scale[0:8]
'Southern'
>>> scale[:-5]
'Southern California Linux'
                                        Strings are immutable
>>> scale[0:8] = 'Northern'
Traceback (most recent call last):
  File "<input>", line 1, in <module>
TypeError: 'str' object does not support item assignment
>>> scale.replace('Southern California','SoCal')
'SoCal Linux Expo'
>>> scale
'Southern California Linux Expo'
>>> scale = scale.replace('Southern California','SoCal')
>>> scale
'SoCal Linux Expo'
>>> scale.startswith('Windows')
False
>>> scale.endswith('Windows')
False
>>> scale.startswith('SoCal')
True
>>> 'Windows' in scale
False
>>> 'Linux' in scale
True
#5 String formatting
>>> a = "Daniel"
>>> b = "Adam"
>>> c = "Greenfeld"
>>> a + b + c
'DanielAdamGreenfeld'
>>> "{0} {1} {2}".format(a, b, c)
'Daniel Adam Greenfeld'
>>> "{first} {middle} {last}".format(first=a, middle=b, last=c)
'Daniel Adam Greenfeld'
>>> lst = [a,b,c]
>>> lst
['Daniel', 'Adam', 'Greenfeld']
>>> name =" ".join(lst)
>>> name
'Daniel Adam Greenfeld'
#6 Basic Operations
>>> x, y, z = 5, 10, 15
>>> 5 < 10
True
>>> 5 > 10
False
                             Python has advanced math
>>> True == False             features that comes with
False
>>> (5 == x) or (10 == x)        the standard library.
True
>>> (5 == x) and (10 == x)
False
>>> x + y - z
0
>>> 10 * 5                      For scientific needs,
50
>>> 10 / 5                      numpy is available.
2
>>> 10 + 5
15
>>> 10 ** 2
100
#7 Lists
>>> my_list = [1, 2, 3]
>>> my_list.append(4)
>>> my_list                           Lists are mutable
[1, 2, 3, 4]
>>> my_list.insert(2, 'dog')
>>> my_list
                                    Tuples are not mutable
[1, 2, 'dog', 3, 4]
>>> my_list.extend([5, 6])
>>> my_list
[1, 2, 'dog', 3, 4, 5, 6]
>>> my_list.append([7, 8])
>>> my_list
[1, 2, 'dog', 3, 4, 5, 6, [7, 8]]
>>> my_list.pop(2)
'dog'
>>> my_list
[1, 2, 3, 4, 5, 6, [7, 8]]
>>> my_list.reverse()
>>> my_list
[[7, 8], 6, 5, 4, 3, 2, 1]
#8 Lists + Functional Programming
>>>   def divisible_by_2(x):
...      return x % 2 == 0
...
>>>                                     Filter constructs a list from
>>>   def cube(x):
...      return x ** 3
                                       those elements of an iterable
...                                   for which the specified function
>>>
>>>   numbers = [1, 2, 3, 4, 6, 31]
                                                returns True.
>>>
>>>   filter(divisible_by_2, numbers)
[2,   4, 6]
>>>
>>>   map(cube, numbers)
[1,   8, 27, 64, 216, 29791]         Map applies the specified
                                   function to every item of the
                                 iterable and returns the results.
#9 List Comprehensions
                            Remember
""" whitespace.py """
from random import randrange                         this
def numberizer():                                 from the
    # Generate a random number from 1 to 10.
    return randrange(1, 11)
                                                 beginning?
number = numberizer()
if number > 5:
              List Comprehension!
    print("This number is big!")

class RandomNumberHolder(object):
    # Create and hold 20 random numbers using numberizer

    def __init__(self):
        self.numbers = [numberizer(x) for x in range(20)]

random_numbers = RandomNumberHolder()
#9 List Comprehensions
>>>   items = [x for x in range(20)]
>>>   items
[0,   1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
>>>   [x for x in range(20) if x % 2]
[1,   3, 5, 7, 9, 11, 13, 15, 17, 19]


                    List Comprehensions are
                   wonderful syntactical sugar.
>>> # Fizzbuzz solved using Python's List Comprehension
>>> lst = [(x, 'Fizz', 'Buzz', 'FizzBuzz') 
...            [(not x % 3) | (not x % 5) << 1] for x in range(20)]

                                        Backslash can be used to
                                        break up long statements.
                                           Please use sparingly!
#10 Generators
>>> def countdown(n):
...     print("Counting down from {0}".format(n))
...     while n > 0:
...        yield n             A generator evaluates only when the
...        n -= 1              iterable is at that iteration. This is really
                               powerful, especially when working with
>>> x = countdown(10)          large iterables.
>>> x
<generator object at 0x58490>
>>> x.next()
Counting down from 10
10                                       A billion iterations for
>>> x.next()
9                                      a generator is NOTHING.
>>> x.next()
8
>>> x.next()
7

                      http://dabeaz.com/generators/Generators.pdf
#11 Generator Expressions
>>> items = (str(x) for x in xrange(10000))         Generator expressions are
>>> items
<generator object <genexpr> at 0x100721460>         shorthand for generators. Just
                                                    like list comprehensions, but
                                                    with () instead of [].




                    http://dabeaz.com/generators/Generators.pdf
#11 Generator Expressions
Problem: count the bytes saved to huge apache access log.
wwwlog = open("access-log")
total = 0                                    Open the whole file, then
for line in wwwlog:
    bytestr = line.rsplit(None,1)[1]        iterate through the results.
    if bytestr != '-':
        total += int(bytestr)
                                              Lots of memory usage!
print "Total", total


            # generator expressions way
Generator   wwwlog     = open("access-log")
            bytecolumn = (line.rsplit(None,1)[1] for line in wwwlog)
  way       bytes      = (int(x) for x in bytecolumn if x != '-')
            print "Total", sum(bytes)

                  http://dabeaz.com/generators/Generators.pdf
#12 Sets
>>> lst = [1,1,1,1,1,2,2,2,3,3,3,3,3,3]
>>> s = set(lst)
>>> s
set([1,2,3])

  Counting unique words in the Gettysburg Address
>>>   address = """Four score and seven years ago our fathers brought..."""
>>>   for r in [',','.','-']:
...       address = address.replace(r,'')
>>>
>>>
      words = address.split(' ')
      len(words)
                                        All items in a set need to
278
>>>   unique_words = set(words)
                                          be of the same type.
>>>   len(unique_words)
143
>>> data = {                       #13 Dictionaries
       'name':'Daniel Greenfeld',
       'nickname':'pydanny',
       'states_lived':['CA','KS','MD','NJ','VA','AD'],
       'fiancee':'Audrey Roy'
       }
>>> data['name']
'Daniel Greenfeld'
>>> data['nickname'] = 'audreyr'       Mutable Key/Value objects
>>> data['nickname']
'audreyr'
>>> data['nickname'] = 'pydanny'
>>> data.keys()
['fiancee', 'nickname', 'name', 'states_lived']
>>> data.get('fiancee')
'Audrey Roy'
>>> data.get('fiance')
None
>>> data.pop('fiancee')
'Audrey Roy'
>>> data
{'nickname': 'pydanny', 'name': 'Daniel Greenfeld', 'states_lived': ['CA',
'KS', 'MD', 'NJ', 'VA']}
>>> data['fiancee'] = 'Audrey Roy'
>>> data
{'fiancee': 'Audrey Roy', 'nickname': 'pydanny', 'name': 'Daniel
Greenfeld', 'states_lived': ['CA', 'KS', 'MD', 'NJ', 'VA', 'AD']}
#14 Object-Oriented Programming
class Animal(object):
    def __init__(self, name):
        self.name = name
    def talk(self):
        raise NotImplementedError("Subclass must implement abstract method")

class Cat(Animal):
    def talk(self):
        return 'Meow!'

class Dog(Animal):                                       Missy: Meow!
    def talk(self):
        return 'Woof! Woof!'                             Mr. Mistoffelees: Meow!
animals = [Cat('Missy'),                                 Lassie: Woof! Woof!
           Cat('Mr. Mistoffelees'),
           Dog('Lassie')]

for animal in animals:
    print animal.name + ': ' + animal.talk()


                      Barely scratching the surface!
           http://en.wikipedia.org/wiki/Polymorphism_in_object-oriented_programming#Examples
#15 Isolate Environments
$ curl http://bit.ly/get-pip | python
$ pip install virtualenv
$ virtualenv my_env
$ source my_env/bin/activate
(my_env) $
           Pro Tip: easy_install is legacy. Use pip.
(my_env) $ pip install django==1.3.1
(my_env) $ pip install requests==0.9.1
(my_env) $ pip install mongoengine==0.5.2
                                                     Warning!
(my_env) $ pip install celery==2.4.6               Only installs
(my_env) $ pip freeze
celery==2.4.6                                     Python drivers!
django==1.3.1
mongoengine==0.5.2                                Not MongoDB
requests==0.9.1
(my_env) $ pip freeze > requirements.txt           or RabbitMQ
...
(another_env) $ pip install -r requirements.txt
#16 Colorize Code
                How Github and Bitbucket do it
$ pip install pygments
from pygments import highlight
from pygments.lexers import get_lexer_by_name
from pygments.formatters import HtmlFormatter

if __name__ == '__main__':
    # get this file
                                                    pygments_demo.py
    code = open("pygments_demo.py", "rw").read()

   # figure out the lexer
   lexer = get_lexer_by_name("python", stripall=True)

   # construct the formatter
   formatter = HtmlFormatter(linenos=False, cssclass="source")

   # style and formatting
   css = HtmlFormatter().get_style_defs('.source')
   highlighted_code = highlight(code, lexer, formatter)
   page = """
                             $ python pygments_demo.py > text.html
       <html>
           <head><style>{css}</style></head>
           <body>{highlighted_code}</body>
       </html>
       """.format(css=css, highlighted_code=highlighted_code)
   print(page)
Output of the program

from pygments import highlight
from pygments.lexers import get_lexer_by_name
from pygments.formatters import HtmlFormatter       text.html
if __name__ == '__main__':
    # get this file
    code = open("pygments_demo.py", "rw").read()

   # figure out the lexer
   lexer = get_lexer_by_name("python", stripall=True)

   # construct the formatter
   formatter = HtmlFormatter(linenos=False, cssclass="source")

   # style and formatting
   css = HtmlFormatter().get_style_defs('.source')
   highlighted_code = highlight(code, lexer, formatter)
   page = """
       <html>
           <head><style>{css}</style></head>
           <body>{highlighted_code}</body>
       </html>
       """.format(css=css, highlighted_code=highlighted_code)
   print(page)
#17 Work with Relational Databases
(my_env)$ pip install django
 from datetime import datetime           Internationalization!
 from django.contrib.auth.models import User
 from django.db import models
 from django.utils.translation import ugettext_lazy as _

 class Post(models.Model):

     author = models.ForeignKey(User)
     title = models.CharField(_('Title'), max_length=100)
     content = models.TextField(_("Content"))
     pub_date = models.DateTimeField(_("Publication date"))

 class Comment(models.Model):
     post = models.ForeignKey(Post)
     name = models.CharField(_('Title'), max_length=100)
     content = models.TextField(_("Content"))
#18 Work with NoSQL
(my_env)$ pip install pymongo
>>> import pymongo
>>> connection = pymongo.Connection("localhost", 27017)
>>> db = connection.test
>>> db.name
u'test'
>>> db.my_collection
Collection(Database(Connection('localhost', 27017), u'test'),
u'my_collection')
>>> db.my_collection.save({"x": 10})
ObjectId('4aba15ebe23f6b53b0000000')
>>> db.my_collection.save({"x": 8})
ObjectId('4aba160ee23f6b543e000000')
>>> db.my_collection.save({"x": 11})
ObjectId('4aba160ee23f6b543e000002')
>>> db.my_collection.find_one()
{u'x': 10, u'_id': ObjectId('4aba15ebe23f6b53b0000000')}
>>> db.my_collection.create_index("x")
u'x_1'
>>> [item["x"] for item in db.my_collection.find().limit(2).skip(1)]
[8, 11]
#19 Message Queues
(my_env)$ pip install celery==2.4.6
(my_env)$ pip install requests==0.9.2
   import logging                                 products/tasks.py
   import requests
   from celery import task

   from products.models import Product
                                                  Decorators wrap a
   logger = logging.getLogger('products.tasks')
                                                  function or method
   @task
   def check_all_images():
                                                    with a function.
       for product in Product.objects.all():
           response = request.get(product.medium_image.url)
           if response.status_code != 200:
               msg = "Product {0} missing image".format(product.id)
               logging.warning(msg)
   >>> from products.tasks import confirm_all_images
   >>> result = confirm_all_images.delay()
   >>> result.ready()
   False
   >>> result.ready()
   True
#20 Work with JSON
>>> import json
>>> data = {
    'name':'Daniel Greenfeld',
    'nickname':'pydanny',
    'states_lived':['CA','KS','MD','NJ','VA','AD'],
    'fiancee':'Audrey Roy'
    }
>>> type(data)
<type 'dict'>
>>> payload = json.dumps(data)
>>> payload
'{"fiancee": "Audrey Roy", "nickname": "pydanny", "name": "Daniel
Greenfeld", "states_lived": ["CA", "KS", "MD", "NJ", "VA", "AD"]}'
>>> type(payload)
<type 'str'>
>>> restored = json.loads(payload)
>>> type(restored)
<type 'dict'>
>>> restored
{u'fiancee': u'Audrey Roy', u'nickname': u'pydanny', u'name': u'Daniel
Greenfeld', u'states_lived': [u'CA', u'KS', u'MD', u'NJ', u'VA', u'AD'
]}
#21 Serve the Web
 $ pip install flask==0.8
  # webapp.py
  from flask import Flask
  app = Flask(__name__)

  @app.route("/")
  def hello():
      return "Hello World!"

  if __name__ == "__main__":
      app.run()


      flask.pocoo.org
#21 Serve the Web




 Lots more frameworks!
#21 Serve the Web




  http://science.nasa.gov/
#21 Serve the Web




http://djangopackages.com
http://opencomparison.org
#21 Serve the Web




http://consumernotebook.com
#21 Serve the Web




    http://grove.io

     Hosted IRC
Finis
• Learn more at the following booths:
 • Python
 • Django
 • Pyladies
Questions?

More Related Content

PDF
How to use Map() Filter() and Reduce() functions in Python | Edureka
PDF
pandas: Powerful data analysis tools for Python
PDF
Foundations of Machine Learning
DOC
Arrays and Strings
PDF
ds_mod1.pdf
PPT
Function in Python [Autosaved].ppt
PPTX
Chapter 4 NumPy Basics Arrays and Vectorized Computation (Part I).pptx
PPTX
Machine Learning
How to use Map() Filter() and Reduce() functions in Python | Edureka
pandas: Powerful data analysis tools for Python
Foundations of Machine Learning
Arrays and Strings
ds_mod1.pdf
Function in Python [Autosaved].ppt
Chapter 4 NumPy Basics Arrays and Vectorized Computation (Part I).pptx
Machine Learning

What's hot (20)

PPTX
Python programming
PPTX
Lambda Calculus
PDF
Python for Data Science | Python Data Science Tutorial | Data Science Certifi...
PPT
Python modules
PDF
Hands-on Deep Learning in Python
DOCX
DBMS LAB M.docx
PPTX
Map, Filter and Reduce In Python
PDF
Python intro
PDF
Python revision tour II
PDF
PYTHON-Chapter 3-Classes and Object-oriented Programming: MAULIK BORSANIYA
PPTX
Data Analysis with Python Pandas
PDF
Python lambda functions with filter, map & reduce function
PPTX
C programming enumeration
PPTX
What Is Deep Learning? | Introduction to Deep Learning | Deep Learning Tutori...
PDF
Python Functions Tutorial | Working With Functions In Python | Python Trainin...
PDF
Machine Learning with PyCaret
PPTX
Python idle introduction(3)
PPTX
Introduction to Machine Learning
PDF
Python Class | Python Programming | Python Tutorial | Edureka
PPTX
Introduction to numpy
Python programming
Lambda Calculus
Python for Data Science | Python Data Science Tutorial | Data Science Certifi...
Python modules
Hands-on Deep Learning in Python
DBMS LAB M.docx
Map, Filter and Reduce In Python
Python intro
Python revision tour II
PYTHON-Chapter 3-Classes and Object-oriented Programming: MAULIK BORSANIYA
Data Analysis with Python Pandas
Python lambda functions with filter, map & reduce function
C programming enumeration
What Is Deep Learning? | Introduction to Deep Learning | Deep Learning Tutori...
Python Functions Tutorial | Working With Functions In Python | Python Trainin...
Machine Learning with PyCaret
Python idle introduction(3)
Introduction to Machine Learning
Python Class | Python Programming | Python Tutorial | Edureka
Introduction to numpy
Ad

Viewers also liked (20)

PDF
Intro to Python Workshop San Diego, CA (January 19, 2013)
PDF
Intro to Python
ODP
Introduction to Python - Training for Kids
PDF
Welcome to Python
PDF
Health 2.0 pre ga slides day 1 & change management
PPTX
Ctrc python
PDF
Python
PDF
Learn 90% of Python in 90 Minutes
PPTX
Samarjit Kachari-New media:Hope for literature and language survival?
PPTX
Why Python?
PDF
Intro to Data Visualizations
KEY
PyCon Philippines 2012 Keynote
KEY
The One Way
PDF
Python: The Programmer's Lingua Franca
KEY
Lighting talk on django-social-auth
PDF
Rapid Prototyping with Python
PPT
Introduction to Scratch Programming
PPTX
Esri South Africa Python for Everyone
KEY
From Prospect To Production In 30 Days
Intro to Python Workshop San Diego, CA (January 19, 2013)
Intro to Python
Introduction to Python - Training for Kids
Welcome to Python
Health 2.0 pre ga slides day 1 & change management
Ctrc python
Python
Learn 90% of Python in 90 Minutes
Samarjit Kachari-New media:Hope for literature and language survival?
Why Python?
Intro to Data Visualizations
PyCon Philippines 2012 Keynote
The One Way
Python: The Programmer's Lingua Franca
Lighting talk on django-social-auth
Rapid Prototyping with Python
Introduction to Scratch Programming
Esri South Africa Python for Everyone
From Prospect To Production In 30 Days
Ad

Similar to Intro to Python (20)

PDF
Python utan-stodhjul-motorsag
ODP
Dynamic Python
PPTX
Introduction to Python 01-08-2023.pon by everyone else. . Hence, they must be...
PPTX
PPT on Python - illustrating Python for BBA, B.Tech
PDF
Introduction to Python for Plone developers
PPTX
Overview of Python - Bsides Detroit 2012
PDF
Python Tutorial
PDF
Python于Web 2.0网站的应用 - QCon Beijing 2010
PPTX
Python Interview Questions | Python Interview Questions And Answers | Python ...
PDF
Python in 90 minutes
PPTX
Python knowledge ,......................
PDF
Sessisgytcfgggggggggggggggggggggggggggggggg
PPTX
Python in 30 minutes!
PDF
Learn Python 3 for absolute beginners
PDF
Becoming a Pythonist
PPTX
Slide - FPT University - PFP191 - Chapter 11 - Objects
PPT
Python ppt
PPT
Python Programming Basic , introductions
PPTX
Sphinx autodoc - automated api documentation - PyCon.KR 2015
PDF
Migrating from matlab to python
Python utan-stodhjul-motorsag
Dynamic Python
Introduction to Python 01-08-2023.pon by everyone else. . Hence, they must be...
PPT on Python - illustrating Python for BBA, B.Tech
Introduction to Python for Plone developers
Overview of Python - Bsides Detroit 2012
Python Tutorial
Python于Web 2.0网站的应用 - QCon Beijing 2010
Python Interview Questions | Python Interview Questions And Answers | Python ...
Python in 90 minutes
Python knowledge ,......................
Sessisgytcfgggggggggggggggggggggggggggggggg
Python in 30 minutes!
Learn Python 3 for absolute beginners
Becoming a Pythonist
Slide - FPT University - PFP191 - Chapter 11 - Objects
Python ppt
Python Programming Basic , introductions
Sphinx autodoc - automated api documentation - PyCon.KR 2015
Migrating from matlab to python

More from Daniel Greenfeld (19)

PDF
How to Write a Popular Python Library by Accident
PDF
10 more-things-you-can-do-with-python
PDF
From NASA to Startups to Big Commerce
PDF
Thinking hard about_python
PDF
An Extreme Talk about the Zen of Python
KEY
Round pegs and square holes
KEY
Future of Collaboration
KEY
Advanced Django Forms Usage
KEY
Confessions of Joe Developer
PDF
Python Worst Practices
PDF
Django Worst Practices
PDF
How to sell django panel
PPT
Pinax Long Tutorial Slides
PPT
Testing In Django
PDF
Django Uni-Form
PDF
Nova Django
PPT
Pinax Introduction
PDF
Why Django
PDF
Pinax Tutorial 09/09/09
How to Write a Popular Python Library by Accident
10 more-things-you-can-do-with-python
From NASA to Startups to Big Commerce
Thinking hard about_python
An Extreme Talk about the Zen of Python
Round pegs and square holes
Future of Collaboration
Advanced Django Forms Usage
Confessions of Joe Developer
Python Worst Practices
Django Worst Practices
How to sell django panel
Pinax Long Tutorial Slides
Testing In Django
Django Uni-Form
Nova Django
Pinax Introduction
Why Django
Pinax Tutorial 09/09/09

Recently uploaded (20)

PDF
7 ChatGPT Prompts to Help You Define Your Ideal Customer Profile.pdf
PDF
Assigned Numbers - 2025 - Bluetooth® Document
PDF
Spectral efficient network and resource selection model in 5G networks
PPT
“AI and Expert System Decision Support & Business Intelligence Systems”
PDF
Build a system with the filesystem maintained by OSTree @ COSCUP 2025
PDF
Getting Started with Data Integration: FME Form 101
PDF
Video forgery: An extensive analysis of inter-and intra-frame manipulation al...
PPTX
Big Data Technologies - Introduction.pptx
PDF
Empathic Computing: Creating Shared Understanding
PDF
gpt5_lecture_notes_comprehensive_20250812015547.pdf
PDF
Profit Center Accounting in SAP S/4HANA, S4F28 Col11
PDF
cuic standard and advanced reporting.pdf
PDF
The Rise and Fall of 3GPP – Time for a Sabbatical?
PDF
Approach and Philosophy of On baking technology
PPTX
Spectroscopy.pptx food analysis technology
PPTX
A Presentation on Artificial Intelligence
PDF
Per capita expenditure prediction using model stacking based on satellite ima...
PPTX
20250228 LYD VKU AI Blended-Learning.pptx
PPT
Teaching material agriculture food technology
PDF
Machine learning based COVID-19 study performance prediction
7 ChatGPT Prompts to Help You Define Your Ideal Customer Profile.pdf
Assigned Numbers - 2025 - Bluetooth® Document
Spectral efficient network and resource selection model in 5G networks
“AI and Expert System Decision Support & Business Intelligence Systems”
Build a system with the filesystem maintained by OSTree @ COSCUP 2025
Getting Started with Data Integration: FME Form 101
Video forgery: An extensive analysis of inter-and intra-frame manipulation al...
Big Data Technologies - Introduction.pptx
Empathic Computing: Creating Shared Understanding
gpt5_lecture_notes_comprehensive_20250812015547.pdf
Profit Center Accounting in SAP S/4HANA, S4F28 Col11
cuic standard and advanced reporting.pdf
The Rise and Fall of 3GPP – Time for a Sabbatical?
Approach and Philosophy of On baking technology
Spectroscopy.pptx food analysis technology
A Presentation on Artificial Intelligence
Per capita expenditure prediction using model stacking based on satellite ima...
20250228 LYD VKU AI Blended-Learning.pptx
Teaching material agriculture food technology
Machine learning based COVID-19 study performance prediction

Intro to Python

  • 1. Intro to Python by Daniel Greenfeld
  • 2. Intro to Python a.k.a. 21 cool things you can do with Python
  • 3. Tons of content • Please hold your questions until the end • Latest slides will be made available • Special thanks to: • Raymond Hettinger • David Beazley • Audrey Roy • The Python community
  • 4. Daniel Greenfeld • pydanny • twitter.com/pydanny • github.com/pydanny • pydanny.blogspot.com • pydanny-event-notes.rtfd.org IMG goes here http://www.flickr.com/photos/pydanny/4442245488/
  • 5. Daniel Greenfeld • Python/Django Developer • Cartwheel Web • Makers of • Makers of Open Comparison • Los Angeles IMG goes here • Capoeira • Fiancee is Audrey Roy http://www.flickr.com/photos/pydanny/4442245488/
  • 7. Who uses Python? All the cool kids do!
  • 10. What is Python? • Over 20 years old • Dynamic, strongly typed scripting language • Multi-paradigm programming language • Object Oriented • Functional • Procedural • Reflective
  • 11. What is Python? • Free and open source • Fast enough • Check out PyPy • Batteries included language
  • 12. What is Python? http://en.wikipedia.org/wiki/File:Flyingcircus_2.jpg It’s named after Monty Python
  • 13. Python is similar to... • Perl • Ruby • Lisp • Java
  • 14. Python is different than... • Perl • Ruby • Lisp • Java
  • 16. Whitespace! """ whitespace.py """ from random import randrange def numberizer(): # Generate a random number from 1 to 10. return randrange(1, 11) number = numberizer() if number > 5: print("This number is big!") class RandomNumberHolder(object): # Create and hold 20 random numbers using numberizer def __init__(self): self.numbers = [numberizer(x) for x in range(20)] random_numbers = RandomNumberHolder()
  • 17. Whitespace! def numberizer(): # Generate a random number from 1 to 10. return randrange(1, 11)
  • 18. Whitespace! number = numberizer() if number > 5: print("This number is big!")
  • 19. Whitespace! class RandomNumberHolder(object): # Create and hold 20 random numbers # using numberizer def __init__(self): self.numbers = [numberizer(x) for x... random_numbers = RandomNumberHolder()
  • 20. Philosophy of Core Developers • Conservative growth • Aim for a simple implementation • “We read Knuth so you don’t have to”
  • 21. Zen of Python >>> import this The Zen of Python, by Tim Peters Beautiful is better than ugly. Explicit is better than implicit. Simple is better than complex. Complex is better than complicated. Flat is better than nested. Sparse is better than dense. Readability counts. Special cases aren't special enough to break the rules. Although practicality beats purity. Errors should never pass silently. Unless explicitly silenced. In the face of ambiguity, refuse the temptation to guess. There should be one-- and preferably only one --obvious way to do it. Although that way may not be obvious at first unless you're Dutch. Now is better than never. Although never is often better than *right* now. If the implementation is hard to explain, it's a bad idea. If the implementation is easy to explain, it may be a good idea. Namespaces are one honking great idea -- let's do more of those!
  • 22. Culture of Documentation • Django Web Framework • http://djangoproject.com • Document everything and document well • Make your documentation accessible • http://readthedocs.org • http://python-requests.org • http://bit.ly/oc_ref (Open Comparison reference)
  • 24. For learning and simple scripting... Use what is on your system by default. If you are running Linux or BSD you already have Python
  • 25. $ $ python Python 2.7.1+ (r271:86832, Apr 11 2011, 18:13:53) [GCC 4.5.2] on linux2 Type "help", "copyright", "credits" or "license" for more information. >>> >>> 3 + 4 7 >>> a = 5 * 10 >>> a 50 >>> def add(a, b): ... return a + b ... >>> add(3,4) 7 >>> add('Py','thon') 'Python'
  • 26. Don’t have Python yet? Download 3.2 Unless you are working with a tool with a specific Python dependency (e.g. Django requires Python 2.7)
  • 27. 21 cool things you can do with Python
  • 28. #1 Run it anywhere Linux Windows FreeBSD Mac OS X JVM OpenBSD Solaris .NET NetBSD HP-UX Android OS BSD OS/2 http://en.wikipedia.org/wiki/CPython#Supported_platforms
  • 29. #2 Learn it fast Python is easy to learn but powerful. Experienced developers get up to speed in days. Lots of tutorials in the area taught by PyLadies. http://learnpythonthehardway.org/
  • 30. #3 Introspect a.k.a Introducing the String type >>> foo = 'bar' >>> spam = 'eggs' >>> fun = 'spam and EGGS ' dir() is a Python built-in function >>> dir(fun) ['__add__', '__class__', '__contains__', '__delattr__', '__doc__', '__eq__', '__format__', '__ge__', '__getattribute__', '__getitem__', '__getnewargs__', '__getslice__', '__gt__', '__hash__', '__init__', '__le__', '__len__', '__lt__', '__mod__', '__mul__', '__ne__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__rmod__', http://en.wikipedia.org/wiki/File:Flyingcircus_2.jpg '__rmul__', '__setattr__', '__sizeof__', '__str__','__subclasshook__', '_formatter_field_name_split', '_formatter_parser', 'capitalize', 'center', 'count', 'decode', 'encode', 'endswith', 'expandtabs', 'find', 'format', 'index', 'isalnum', 'isalpha', 'isdigit', 'islower', 'isspace', 'istitle', 'isupper', 'join', 'ljust', 'lower', 'lstrip', 'partition', 'replace', 'rfind', 'rindex', 'rjust', 'rpartition', 'rsplit', 'rstrip', 'split', 'splitlines', 'startswith', 'strip', 'swapcase', 'title', 'translate', 'upper','zfill']
  • 31. #3 Introspect a.k.a Introducing the String type >>> fun 'spam and EGGS ' >>> fun.strip() 'spam and EGGS' type() returns the type of object >>> spam.title() 'Spam And Eggs ' >>> fun.capitalize() 'Spam and eggs ' >>> fun.index('a') Line comments start with ‘# ‘ 2 >>> type(fun) <type 'str'> >>> len(fun) # built-in that gives length of object 16 >>> fun[0:5] # String slicing help() is a 'spam ' >>> help(fun) Python built-in no Python documentation found for 'spam and EGGS ' >>> help(str) str is the Python string type object
  • 32. #3 Introspect a.k.a Introducing the String type >>> help(str) Help on class str in module __builtin__: class str(basestring) | str(object) -> string | | Return a nice string representation of the object. | If the argument is a string, the return value is the same object. | | Method resolution order: | str | basestring | object | | Methods defined here: | | __add__(...) | x.__add__(y) <==> x+y | | __contains__(...) | x.__contains__(y) <==> y in x
  • 33. #3 Introspect a.k.a Introducing the String type >>> help(str) | capitalize(...) | S.capitalize() -> string | | Return a copy of the string S with only its first character | capitalized. | | center(...) | S.center(width[, fillchar]) -> string | | Return S centered in a string of length width. Padding is | done using the specified fill character (default is a space) | | count(...) | S.count(sub[, start[, end]]) -> int | | Return the number of non-overlapping occurrences of substring sub in | string S[start:end]. Optional arguments start and end are interpreted | as in slice notation.
  • 34. #4 Things with Strings >>> scale = 'Southern California Linux Expo' >>> scale[0] 'S' >>> scale[0:8] 'Southern' >>> scale[:-5] 'Southern California Linux' Strings are immutable >>> scale[0:8] = 'Northern' Traceback (most recent call last): File "<input>", line 1, in <module> TypeError: 'str' object does not support item assignment >>> scale.replace('Southern California','SoCal') 'SoCal Linux Expo' >>> scale 'Southern California Linux Expo' >>> scale = scale.replace('Southern California','SoCal') >>> scale 'SoCal Linux Expo' >>> scale.startswith('Windows') False >>> scale.endswith('Windows') False >>> scale.startswith('SoCal') True >>> 'Windows' in scale False >>> 'Linux' in scale True
  • 35. #5 String formatting >>> a = "Daniel" >>> b = "Adam" >>> c = "Greenfeld" >>> a + b + c 'DanielAdamGreenfeld' >>> "{0} {1} {2}".format(a, b, c) 'Daniel Adam Greenfeld' >>> "{first} {middle} {last}".format(first=a, middle=b, last=c) 'Daniel Adam Greenfeld' >>> lst = [a,b,c] >>> lst ['Daniel', 'Adam', 'Greenfeld'] >>> name =" ".join(lst) >>> name 'Daniel Adam Greenfeld'
  • 36. #6 Basic Operations >>> x, y, z = 5, 10, 15 >>> 5 < 10 True >>> 5 > 10 False Python has advanced math >>> True == False features that comes with False >>> (5 == x) or (10 == x) the standard library. True >>> (5 == x) and (10 == x) False >>> x + y - z 0 >>> 10 * 5 For scientific needs, 50 >>> 10 / 5 numpy is available. 2 >>> 10 + 5 15 >>> 10 ** 2 100
  • 37. #7 Lists >>> my_list = [1, 2, 3] >>> my_list.append(4) >>> my_list Lists are mutable [1, 2, 3, 4] >>> my_list.insert(2, 'dog') >>> my_list Tuples are not mutable [1, 2, 'dog', 3, 4] >>> my_list.extend([5, 6]) >>> my_list [1, 2, 'dog', 3, 4, 5, 6] >>> my_list.append([7, 8]) >>> my_list [1, 2, 'dog', 3, 4, 5, 6, [7, 8]] >>> my_list.pop(2) 'dog' >>> my_list [1, 2, 3, 4, 5, 6, [7, 8]] >>> my_list.reverse() >>> my_list [[7, 8], 6, 5, 4, 3, 2, 1]
  • 38. #8 Lists + Functional Programming >>> def divisible_by_2(x): ... return x % 2 == 0 ... >>> Filter constructs a list from >>> def cube(x): ... return x ** 3 those elements of an iterable ... for which the specified function >>> >>> numbers = [1, 2, 3, 4, 6, 31] returns True. >>> >>> filter(divisible_by_2, numbers) [2, 4, 6] >>> >>> map(cube, numbers) [1, 8, 27, 64, 216, 29791] Map applies the specified function to every item of the iterable and returns the results.
  • 39. #9 List Comprehensions Remember """ whitespace.py """ from random import randrange this def numberizer(): from the # Generate a random number from 1 to 10. return randrange(1, 11) beginning? number = numberizer() if number > 5: List Comprehension! print("This number is big!") class RandomNumberHolder(object): # Create and hold 20 random numbers using numberizer def __init__(self): self.numbers = [numberizer(x) for x in range(20)] random_numbers = RandomNumberHolder()
  • 40. #9 List Comprehensions >>> items = [x for x in range(20)] >>> items [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19] >>> [x for x in range(20) if x % 2] [1, 3, 5, 7, 9, 11, 13, 15, 17, 19] List Comprehensions are wonderful syntactical sugar. >>> # Fizzbuzz solved using Python's List Comprehension >>> lst = [(x, 'Fizz', 'Buzz', 'FizzBuzz') ... [(not x % 3) | (not x % 5) << 1] for x in range(20)] Backslash can be used to break up long statements. Please use sparingly!
  • 41. #10 Generators >>> def countdown(n): ... print("Counting down from {0}".format(n)) ... while n > 0: ... yield n A generator evaluates only when the ... n -= 1 iterable is at that iteration. This is really powerful, especially when working with >>> x = countdown(10) large iterables. >>> x <generator object at 0x58490> >>> x.next() Counting down from 10 10 A billion iterations for >>> x.next() 9 a generator is NOTHING. >>> x.next() 8 >>> x.next() 7 http://dabeaz.com/generators/Generators.pdf
  • 42. #11 Generator Expressions >>> items = (str(x) for x in xrange(10000)) Generator expressions are >>> items <generator object <genexpr> at 0x100721460> shorthand for generators. Just like list comprehensions, but with () instead of []. http://dabeaz.com/generators/Generators.pdf
  • 43. #11 Generator Expressions Problem: count the bytes saved to huge apache access log. wwwlog = open("access-log") total = 0 Open the whole file, then for line in wwwlog: bytestr = line.rsplit(None,1)[1] iterate through the results. if bytestr != '-': total += int(bytestr) Lots of memory usage! print "Total", total # generator expressions way Generator wwwlog = open("access-log") bytecolumn = (line.rsplit(None,1)[1] for line in wwwlog) way bytes = (int(x) for x in bytecolumn if x != '-') print "Total", sum(bytes) http://dabeaz.com/generators/Generators.pdf
  • 44. #12 Sets >>> lst = [1,1,1,1,1,2,2,2,3,3,3,3,3,3] >>> s = set(lst) >>> s set([1,2,3]) Counting unique words in the Gettysburg Address >>> address = """Four score and seven years ago our fathers brought...""" >>> for r in [',','.','-']: ... address = address.replace(r,'') >>> >>> words = address.split(' ') len(words) All items in a set need to 278 >>> unique_words = set(words) be of the same type. >>> len(unique_words) 143
  • 45. >>> data = { #13 Dictionaries 'name':'Daniel Greenfeld', 'nickname':'pydanny', 'states_lived':['CA','KS','MD','NJ','VA','AD'], 'fiancee':'Audrey Roy' } >>> data['name'] 'Daniel Greenfeld' >>> data['nickname'] = 'audreyr' Mutable Key/Value objects >>> data['nickname'] 'audreyr' >>> data['nickname'] = 'pydanny' >>> data.keys() ['fiancee', 'nickname', 'name', 'states_lived'] >>> data.get('fiancee') 'Audrey Roy' >>> data.get('fiance') None >>> data.pop('fiancee') 'Audrey Roy' >>> data {'nickname': 'pydanny', 'name': 'Daniel Greenfeld', 'states_lived': ['CA', 'KS', 'MD', 'NJ', 'VA']} >>> data['fiancee'] = 'Audrey Roy' >>> data {'fiancee': 'Audrey Roy', 'nickname': 'pydanny', 'name': 'Daniel Greenfeld', 'states_lived': ['CA', 'KS', 'MD', 'NJ', 'VA', 'AD']}
  • 46. #14 Object-Oriented Programming class Animal(object): def __init__(self, name): self.name = name def talk(self): raise NotImplementedError("Subclass must implement abstract method") class Cat(Animal): def talk(self): return 'Meow!' class Dog(Animal): Missy: Meow! def talk(self): return 'Woof! Woof!' Mr. Mistoffelees: Meow! animals = [Cat('Missy'), Lassie: Woof! Woof! Cat('Mr. Mistoffelees'), Dog('Lassie')] for animal in animals: print animal.name + ': ' + animal.talk() Barely scratching the surface! http://en.wikipedia.org/wiki/Polymorphism_in_object-oriented_programming#Examples
  • 47. #15 Isolate Environments $ curl http://bit.ly/get-pip | python $ pip install virtualenv $ virtualenv my_env $ source my_env/bin/activate (my_env) $ Pro Tip: easy_install is legacy. Use pip. (my_env) $ pip install django==1.3.1 (my_env) $ pip install requests==0.9.1 (my_env) $ pip install mongoengine==0.5.2 Warning! (my_env) $ pip install celery==2.4.6 Only installs (my_env) $ pip freeze celery==2.4.6 Python drivers! django==1.3.1 mongoengine==0.5.2 Not MongoDB requests==0.9.1 (my_env) $ pip freeze > requirements.txt or RabbitMQ ... (another_env) $ pip install -r requirements.txt
  • 48. #16 Colorize Code How Github and Bitbucket do it $ pip install pygments from pygments import highlight from pygments.lexers import get_lexer_by_name from pygments.formatters import HtmlFormatter if __name__ == '__main__': # get this file pygments_demo.py code = open("pygments_demo.py", "rw").read() # figure out the lexer lexer = get_lexer_by_name("python", stripall=True) # construct the formatter formatter = HtmlFormatter(linenos=False, cssclass="source") # style and formatting css = HtmlFormatter().get_style_defs('.source') highlighted_code = highlight(code, lexer, formatter) page = """ $ python pygments_demo.py > text.html <html> <head><style>{css}</style></head> <body>{highlighted_code}</body> </html> """.format(css=css, highlighted_code=highlighted_code) print(page)
  • 49. Output of the program from pygments import highlight from pygments.lexers import get_lexer_by_name from pygments.formatters import HtmlFormatter text.html if __name__ == '__main__': # get this file code = open("pygments_demo.py", "rw").read() # figure out the lexer lexer = get_lexer_by_name("python", stripall=True) # construct the formatter formatter = HtmlFormatter(linenos=False, cssclass="source") # style and formatting css = HtmlFormatter().get_style_defs('.source') highlighted_code = highlight(code, lexer, formatter) page = """ <html> <head><style>{css}</style></head> <body>{highlighted_code}</body> </html> """.format(css=css, highlighted_code=highlighted_code) print(page)
  • 50. #17 Work with Relational Databases (my_env)$ pip install django from datetime import datetime Internationalization! from django.contrib.auth.models import User from django.db import models from django.utils.translation import ugettext_lazy as _ class Post(models.Model): author = models.ForeignKey(User) title = models.CharField(_('Title'), max_length=100) content = models.TextField(_("Content")) pub_date = models.DateTimeField(_("Publication date")) class Comment(models.Model): post = models.ForeignKey(Post) name = models.CharField(_('Title'), max_length=100) content = models.TextField(_("Content"))
  • 51. #18 Work with NoSQL (my_env)$ pip install pymongo >>> import pymongo >>> connection = pymongo.Connection("localhost", 27017) >>> db = connection.test >>> db.name u'test' >>> db.my_collection Collection(Database(Connection('localhost', 27017), u'test'), u'my_collection') >>> db.my_collection.save({"x": 10}) ObjectId('4aba15ebe23f6b53b0000000') >>> db.my_collection.save({"x": 8}) ObjectId('4aba160ee23f6b543e000000') >>> db.my_collection.save({"x": 11}) ObjectId('4aba160ee23f6b543e000002') >>> db.my_collection.find_one() {u'x': 10, u'_id': ObjectId('4aba15ebe23f6b53b0000000')} >>> db.my_collection.create_index("x") u'x_1' >>> [item["x"] for item in db.my_collection.find().limit(2).skip(1)] [8, 11]
  • 52. #19 Message Queues (my_env)$ pip install celery==2.4.6 (my_env)$ pip install requests==0.9.2 import logging products/tasks.py import requests from celery import task from products.models import Product Decorators wrap a logger = logging.getLogger('products.tasks') function or method @task def check_all_images(): with a function. for product in Product.objects.all(): response = request.get(product.medium_image.url) if response.status_code != 200: msg = "Product {0} missing image".format(product.id) logging.warning(msg) >>> from products.tasks import confirm_all_images >>> result = confirm_all_images.delay() >>> result.ready() False >>> result.ready() True
  • 53. #20 Work with JSON >>> import json >>> data = { 'name':'Daniel Greenfeld', 'nickname':'pydanny', 'states_lived':['CA','KS','MD','NJ','VA','AD'], 'fiancee':'Audrey Roy' } >>> type(data) <type 'dict'> >>> payload = json.dumps(data) >>> payload '{"fiancee": "Audrey Roy", "nickname": "pydanny", "name": "Daniel Greenfeld", "states_lived": ["CA", "KS", "MD", "NJ", "VA", "AD"]}' >>> type(payload) <type 'str'> >>> restored = json.loads(payload) >>> type(restored) <type 'dict'> >>> restored {u'fiancee': u'Audrey Roy', u'nickname': u'pydanny', u'name': u'Daniel Greenfeld', u'states_lived': [u'CA', u'KS', u'MD', u'NJ', u'VA', u'AD' ]}
  • 54. #21 Serve the Web $ pip install flask==0.8 # webapp.py from flask import Flask app = Flask(__name__) @app.route("/") def hello(): return "Hello World!" if __name__ == "__main__": app.run() flask.pocoo.org
  • 55. #21 Serve the Web Lots more frameworks!
  • 56. #21 Serve the Web http://science.nasa.gov/
  • 57. #21 Serve the Web http://djangopackages.com http://opencomparison.org
  • 58. #21 Serve the Web http://consumernotebook.com
  • 59. #21 Serve the Web http://grove.io Hosted IRC
  • 60. Finis • Learn more at the following booths: • Python • Django • Pyladies