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  • A class is like a template
  • A colon
  • A dot
  • A formatting example using string methods
  • A tutor
  • A twisty maze of codes
  • About special package directories
  • Absolute imports in Python
  • Adding an attribute to an instance
  • Adding and changing message headers
  • Adding another condition to an if block
  • Adding time
  • All about class and instance attributes
  • All about or
  • All about Special Handling
  • AlleyOOP Some Object Oriented Programming Concepts
  • An instance is a copy made from the template
  • An Objects Object Intro to New Style Classes
  • Anameis aname except when itsmain
  • Applications
  • Assigning to a list with slicing
  • Assignment always changes
  • Asterisk Multiplication
  • Augmented assignment doesnt rebind mutable data types
  • Avoiding the quirks of default values
  • Avoiding unexpected results with integer division
  • Being a PUGnosed PIGgie Local User Groups
  • Being wordy
  • Boolean operators - 2
  • Break points
  • Briefly meet a few other IDLE commands
  • Building a dict out of another dict by using a for loop
  • Building lists incrementally
  • Builtin functions
  • But Wait Theres More The sys Module
  • Buy premade bread
  • Calling in the Borg Pattern
  • Calling the right superclass method
  • Cats Cradle Indexing and Slicing
  • Changing mutable objects in a shelve database
  • Changing the configuration of a logger
  • Changing the values of class and instance attributes
  • Chapter Accessing the Internet
  • Chapter Basic Elements and Syntax
  • Chapter Building Applications with Modules and Packages
  • Chapter Introducing New Style Classes
  • Chapter List - 2 3
  • Chapter Processing Lists and Tuples
  • Cheese Shop Online Collection of Python Modules
  • Choosing between lists and tuples
  • Class and Instance Conventions
  • Classes
  • Classes Just for Data
  • Classes modules and functions
  • Code block syntax
  • Code blocks that create a namespace
  • Collecting Globs and Globs of Files
  • Combining ingredients
  • Combining tests
  • Companies that use Python
  • Comparatively speaking
  • Comparing sequence objects
  • Comparison operators - 2
  • Compiling regular expressions
  • Components of a datetime object
  • Converting a sequence
  • Create an instance of the Parser class
  • Creating a listcomp that applies a filter
  • Creating a subclass
  • Creating a table
  • Creating class methods
  • Creating MIME objects via subclasses
  • Creating other class attributes
  • Cutting through the static about methods
  • Data Type Does Matter
  • Dealing with duplicate keys
  • Dealing with exceptional exceptions
  • Debugging in IDLE
  • Decorating Your Code
  • Deep copying
  • Deleting items from a dict
  • Designing for expansion
  • Dictionaries
  • Difference
  • Disappearing lists
  • Documenting your program
  • Dont use the slots machine
  • Effects of changing attribute values
  • Element attributes
  • Encoding binary data into string data
  • End the line of code by typing
  • Evaluating a string
  • Everything comes from object
  • Examining a module
  • Example of a custom Text Wrapper object
  • Example package structure
  • Exceptional Type Testing
  • Expression and Comprehension Listcomps and Genexps
  • Extracting a value
  • False objects
  • Fast development
  • Files
  • Finding information about a URL
  • Finding largest and smallest items
  • Finding out about dict methods
  • Finding out more about string methods
  • Finding repeats
  • Finding whats in standard modules
  • Floating Along
  • Focusing on Functions
  • For loops
  • Formatting date and time information
  • Formatting floats
  • Formatting with multiple data items in a tuple
  • Functional versus methodical
  • Functions
  • Functions for decoding and encoding character sets
  • Functions for reading address headers
  • Functions that work with or create lists
  • Functions versus methods
  • Generator expressions
  • Generators yield for faster processing
  • Gentlemen and ladies unpack your tuples
  • Get in
  • Getting field values from a table
  • Getting help for messy HTML
  • Getting help on a function
  • Getting Inside the Factory How Class and Instance Namespaces Interact
  • Getting loopy with dicts
  • Giving another name to a function
  • Gotcha Assigning numbers and strings to slices
  • Hings to Know about Control Structures
  • Home on the range
  • Hooking into the power of special methods
  • How a string looks inside Python
  • How for works
  • How local and global names work with assignment
  • How local and global names work with references
  • Howdy xranger
  • Didnt think they would do that
  • Ickling Your Data And Relishing the Outcome
  • IDLE automatically indents lines for you
  • IDLE Musings
  • If statements
  • If the information is longer than one screen press the spacebar to see more
  • If We May Comment
  • If you want to write to the file type a comma and w
  • Imagining Complex Numbers
  • Immutable or frozen sets
  • Import all items from a package
  • Importing a module in interactive mode
  • Importing a module using a different name
  • Importing by name
  • Importing items from inside a module
  • Include debugging code in your script
  • Incorrect logic for Boolean expressions
  • Individual modules and packages
  • Inheriting from a builtin data type
  • Inheriting from multiple superclasses
  • Initializing a module
  • Initializing the spider
  • Input
  • Interpolating Between the Lines
  • Introducing the call function
  • Introduction
  • Island of Dr MRO
  • It pays to be conventional
  • Iterables getcher iterables
  • Its easier to ask forgiveness than permission
  • Lets continue
  • Lets pause for a moment
  • List comprehensions
  • List indexing and slicing
  • List indexing and slicing operations
  • Listing the contents of an imported module
  • Looping around
  • Looping through stringsYou can but why would you want to
  • Maintaining Your Programs
  • Making a saving throw
  • Making Exceptions for Yourself
  • Making Names and Storing Values
  • Making regexes more readable
  • Managing strings
  • Manipulating directories and their files
  • Mapping it out
  • Mary had a little lambda
  • Measuring and splitting strings
  • Mines bigger than yours Comparing strings
  • Mirror mirror on the wall whats the object of this all
  • Modular Living Storing Your Code in Files
  • Module module where is the module
  • Modules
  • Most punctuation marks come before digits or letters
  • Mutable default values can change
  • Namespace searching in classes and superclasses
  • Numeric data
  • Objects
  • Official documentation
  • On the line beneath your class definition header indent four spaces
  • On the next line type four spaces and then type the action you want repeated like this
  • On the same line in parentheses specify any of the following keyword arguments separated by commas
  • On the same line in parentheses type a message as a string
  • On the same line type a file or directory pathname and
  • On the same line type a space a space and a tuple that includes one data item for each formatting code in the string as shown here
  • On the same line type and the items you want to assign
  • On the same line type and the new list element so your line looks something like this
  • One quote or two
  • Open a command window
  • Opening a URL
  • Opening IDLE
  • Operating on sequence objects
  • Operators Are Standing By
  • Optional but very important On the next lines write the docstring for the function
  • Optional modifiers of the formatting code
  • Options for the open function
  • Order in the dict
  • Order please
  • Other useful XML modules
  • Out of sorts
  • Overview - 2 3 4 5 6
  • Parameters versus arguments
  • Getting Started
  • Appendixes
  • Pass values or names for any defaultvalue parameters whose default values you want to override
  • Passing information to a method
  • Pickling restrictions
  • Playing the dealer
  • Please repeat String operators
  • Press the Return or Enter key
  • Processing exception arguments
  • Processing special characters in a URL
  • Programming styles
  • Properties of a shelve object
  • Pseudocoding your thoughts
  • Python and earlier dont support newstyle classes at all and newstyle classes work differently in than in and later
  • Python Batteries Included
  • Querying the match object
  • Quitting interactive mode
  • Raising Your Code to New Levels
  • Random Access Reference at httpwwwwikipythonorg
  • Raw strings
  • Reading data from form fields
  • Reading email messages
  • Reading the spider web
  • Recognizing bare naked functions
  • Reductionism
  • Regex groups
  • Relative imports in Python
  • Rememberremember to import modules
  • Reminds the user to enter a number We discuss how to do this in Chapter Print statements and traceback logs
  • Removing indentation from strings
  • Representing an email message in Python
  • Representing data
  • Representing numbers by using the decimal module
  • Retrieving items from dicts
  • Reversing Your Way to Success
  • Roles
  • Run the altered script by typing code like this into your browser replace hostnamecgibin with the path to your cgibin directory and replace scriptname with the name of your script
  • Run the cgipy module by typing code like this into your browser replacing hostnamecgibin with the path to your cgibin directory
  • Running a script from the command line
  • Running the spider
  • Saving changes to disk
  • Seeing a few logging functions
  • Seeing environment variables
  • Seeing information about a Python object
  • Seeing the result of the last expression
  • Seeing whats inside Python objects
  • Setting up a basic regex search
  • Setting up a readandoutput process
  • Setting up a SQLite database
  • Setting up CGI output in Python
  • Setting up the structure
  • Shallow copying
  • Shell Game Copying and Moving Files
  • Similar items
  • Simplifying Choices Using Dicts
  • Size limits on floats
  • Slicing
  • Solving OS Incompatibility The os and subprocess Modules
  • Sorting a list of strings
  • Sorting out module namespaces
  • Special characters
  • Specifying a function with an arbitrary number of arguments
  • Specifying arguments when you call a function
  • Stacking and queuing with lists
  • Staying in the Loop
  • Staying on Time with the datetime and time Modules
  • Storing and retrieving values
  • Storing pickles on a shelf
  • Stringing Them Along
  • StringIO special methods
  • Strings Disguised as Files
  • Subelements
  • Subprocessing
  • Super strings
  • Sussing Out SQL Databases
  • Take a breakor else
  • Taking your time
  • Taming the Wild URL
  • TechnicalHash strings or hash browns
  • Technicallocation location location
  • Technicalordering up some XML
  • Technicalother ways of accessing module attributes
  • Technicalprogramming to the max
  • Technicalstatements and expressions Seeing the difference
  • Technicalteaching an old bug new tricks
  • Technicalwhat is Unicode and why do we care about it
  • Telling the difference between a class object and a function object
  • Testing a dict
  • Testing the content of strings
  • Testing the elements of a sequence object
  • Text Wrapper attributes
  • Thanks but Ill pass
  • That tricky asterisk
  • The actions that list objects can do slice append and so on Inheriting overriding and extending
  • The big deal about indentation
  • The complangpython Newsgroup
  • The embedded Python might not include all the standard Python modules
  • The function and class definitions
  • The function is designed to work in more than one way depending on which arguments are passed
  • The inner lives of iterators
  • The kind of error
  • The Midas touchUnicode versus str
  • The most popular list methods
  • The Mothership httpwwwpythonorg
  • The Python developer community
  • The story of Python
  • The Three Ds
  • The twoloop tango
  • The workings of the Spider class
  • The Zen of Python
  • Think globally act locally
  • Tip Additional regex resources
  • Tip When not to use a regex
  • Tip When not to use inheritance
  • To handle each exception a different way use multiple except clauses
  • To run the current line of the program and go to the next line type s
  • To run the script from the command line type python i followed by the name of the script including the py suffix
  • Tools of the re module
  • Tracking down tracebacks
  • Training your assistant
  • Triplescoop
  • True and False arent true and false
  • Try statements
  • Tryexceptelsefinally Together at last
  • Trying an OS command with call
  • Trying Things
  • Tuple packing
  • Turning Python into a Calculator with decimal
  • Tutorpythonorg and helppythonorg
  • Two Ways to Interact with Python
  • Type and the value you want to store
  • Type the following
  • Understanding default parameters
  • Understanding function namespaces
  • Understanding shallow copies
  • Understanding Web page errors
  • Uniquely Ordered Lists
  • Unpacking dictionaries
  • Unpacking lists or tuples
  • Unraveling Unicode
  • Updating a dictionary
  • Use append to add an item to the end of the queue
  • Use properties
  • Use the execute method in a for loop to write the addresses into the database
  • Use the function in an expression or in an assignment statement
  • Useful calling parameters
  • Using a debugger
  • Using a default value of None to redefine a mutable object
  • Using interactive mode as a calculator
  • Using Math Modules
  • Using multiple inheritance
  • Using Scripts and Modules
  • Using the interpolation operator
  • Using the range function with a list
  • Using tryfinally statements
  • Using XML files
  • Viewing and changing parameters
  • Wandering down the ospath
  • Warning Maintaining security when using HTML forms
  • Ways to escape
  • What a list is
  • What a tuple is
  • What do you really want
  • What sets are and arent
  • What spiderpy doesnt have
  • Whats new in class methods
  • Whats That Idiom
  • Whats up
  • When it comes to or else
  • When you want to check that the program is storing the correct values type p and the name to see its value
  • When youre reading a text file
  • Where did self go
  • Why modularizing is a good idea
  • Why Python has two kinds of integers
  • Why refactor
  • Why to while
  • With What Your Bare Hands The Power of with Statements
  • Working on a copy of a mutable object
  • Working with a Zip File object
  • Working with attributes
  • Working with builtin functions
  • Wrapping text by adding newline characters
  • Wrapping text by splitting it up
  • Writing a base class for your exceptions
  • Writing a basic regex
  • Writing a script to work in the Web environment
  • Writing and editing code with IDLEs text editor
  • Writing multiline programs in interactive mode
  • You and who else
  • You cant use any of Pythons reserved words or keywords
  • You Get All This The builtin Module
  • You have had a minimal amount of exposure to programming
  • You specify that the name is an attribute of a particular object Discovering where Python looks for names
  • Zipfile
  • Zipping up a Python library
  • Python Object Oriented Canvas

    Python Object Oriented Canvas

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