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Table of Contents

-1. What’s New In “Dive Into Python 3”
0. Installing Python
   1. Diving In
   2. Which Python Is Right For You?
   3. Installing on Microsoft Windows
   4. Installing on Mac OS X
   5. Installing on Ubuntu Linux
   6. Installing on Other Platforms
   7. Using The Python Shell
   8. Python Editors and IDEs
1. Your first Python program
   1. Diving in
   2. Declaring functions
   3. Writing readable code
      1. Docstrings
   4. Everything is an object
      1. The import search path
      2. What’s an object?
   5. Indenting code
   6. Exceptions
   7. Running scripts
   8. Further reading
2. Native Python datatypes
   1. Diving in
   2. Booleans
   3. Numbers
      1. Coercing integers to floats and vice-versa
      2. Common numerical operations
      3. Fractions
      4. Trigonometry
      5. Numbers in a boolean context
   4. Lists
      1. Creating a list
      2. Slicing a list
      3. Adding items to a list
      4. Searching for values in a list
      5. Lists in a boolean context
   5. Dictionaries
      1. Creating a dictionary
      2. Modifying a dictionary
      3. Mixed-value dictionaries
      4. Dictionaries in a boolean context
   6. None
      1. None in a boolean context
   7. Further reading
3. Strings
   1. Diving in
   2. Unicode
      1. How strings are stored in memory
      2. Converting between different character encodings
      3. Specifying character encoding in .py files
   3. Strings in Python 3
   4. Common string operations
   5. Formatting strings
   6. The string module
   7. Strings vs. bytes
   8. Further reading
4. Regular expressions
   1. Diving in
   2. Case study: street addresses
   3. Case study: Roman numerals
      1. Checking for thousands
      2. Checking for hundreds
   4. Using the {n,m} Syntax
      1. Checking for tens and ones
   5. Verbose regular expressions
   6. Case study: parsing phone numbers
   7. Summary
5. Closures & Generators
   1. Diving in
   2. I know, let’s use regular expressions!
   3. A list of functions
   4. A list of patterns
   5. A file of patterns
   6. Generators
      1. A Fibonacci generator
      2. A plural rule generator
6. Classes & Iterators
   1. Diving In
   2. Defining Classes
   3. Instantiating Classes
   4. Instance Variables
   5. A Fibonacci iterator
   6. A Plural Rule Iterator
   7. Further Reading
7. Advanced Iterators
   1. Diving In
   2. Finding all occurrences of a pattern
   3. Finding the unique items in a sequence
   4. Making assertions
   5. Generator expressions
   6. Calculating Permutations… The Lazy Way!
   7. Other Fun Stuff in the itertools Module
   8. A New Kind Of String Manipulation
   9. Evaluating Arbitrary Strings As Python Expressions
   10. Putting It All Together
   11. Further Reading
8. Unit testing
   1. (Not) diving in
   2. A single question
   3. “Halt and catch fire”
   4. More halting, more fire
   5. ...
9. Advanced Unit Testing
   1. ...
10. Refactoring your code
    1. Diving in
    2. Handling changing requirements
    3. Refactoring
    4. Summary
11. Advanced Classes
    1. Diving in
12. Files
    1. File objects
    2. Reading files
    3. Close your files... or don't
    4. Handling errors (exceptions)
    5. Writing to files
13. XML
    1. Diving In
    2. A 5-Minute Crash Course in XML
    3. The Structure Of An Atom Feed
    4. Parsing XML
       1. Elements Are Lists
       2. Attributes Are Dictonaries
    5. Searching For Nodes Within An XML Document
    6. Going Further With lxml
       1. Customizing Your XML Parser
       2. Incremental Parsing
    7. Generating XML
    8. Further Reading
14. Serializing Python Objects
15. HTTP Web Services
    1. Diving In
    2. Features of HTTP
       1. Caching
       2. Last-Modified Checking
       3. ETags
       4. Compression
       5. Redirects
    3. How Not To Fetch Data Over HTTP
    4. What’s On The Wire?
    5. Introducing httplib2
       1. How httplib2 Handles Caching
       2. How httplib2 Handles Last-Modified and ETag Headers
       3. How http2lib Handles Compression
       4. How httplib2 Handles Redirects
    6. Beyond HTTP GET
    7. Beyond HTTP POST
    8. Further Reading
16. Threading & Multiprocessing
17. Packaging Python libraries
    1. A brief history of packaging (and why it's harder than you think)
    2. setuptools
    3. distutils
    4. Eggs
    5. pip
    6. Platform-specific packaging
       1. Packaging by Linux distributions
       2. Py2exe
18. Case study: porting chardet to Python 3
    1. Introducing chardet: a mini-FAQ
       1. What is character encoding auto-detection?
       2. Isn’t that impossible?
       3. Who wrote this detection algorithm?
       4. Yippie! Screw the standards, I’ll just auto-detect everything!
       5. Why bother with auto-detection if it’s slow, inaccurate, and non-standard?
    2. Diving in
       1. UTF-n with a BOM
       2. Escaped encodings
       3. Multi-byte encodings
       4. Single-byte encodings
       5. windows-1252
    3. Running 2to3
    4. Fixing what 2to3 can’t
       1. False is invalid syntax
       2. No module named constants
       3. Name 'file' is not defined
       4. Can’t use a string pattern on a bytes-like object
       5. Can’t convert 'bytes' object to str implicitly
19. Where to go from here
    1. Things to read
    2. Where to look for Python 3-compatible code

• Appendix A. Porting code to Python 3 with 2to3
  1. Diving in
  2. print statement
  3. Unicode string literals
  4. unicode() global function
  5. long data type
  6. <> comparison
  7. has_key() dictionary method
  8. Dictionary methods that return lists
  9. Modules that have been renamed or reorganized
     1. http
     2. urllib
     3. dbm
     4. xmlrpc
     5. Other modules
  10. Relative imports within a package
  11. next() iterator method
  12. filter() global function
  13. map() global function
  14. reduce() global function (3.1+)
  15. apply() global function
  16. intern() global function
  17. exec statement
  18. execfile statement (3.1+)
  19. repr literals (backticks)
  20. try...except statement
  21. raise statement
  22. throw method on generators
  23. xrange() global function
  24. raw_input() and input() global functions
  25. func_* function attributes
  26. xreadlines() I/O method
  27. lambda functions that take a tuple instead of multiple parameters
  28. Special method attributes
  29. __nonzero__ special method
  30. Octal literals
  31. sys.maxint
  32. callable() global function
  33. zip() global function
  34. StandardError() exception
  35. types module constants
  36. isinstance() global function (3.1+)
  37. basestring datatype
  38. itertools module
  39. sys.exc_type, sys.exc_value, sys.exc_traceback
  40. List comprehensions over tuples
  41. os.getcwdu() function
  42. Metaclasses
  43. Matters of style
      1. set() literals
      2. buffer() global function
      3. Whitespace around commas
      4. Common idioms
• Appendix B. Special Method Names
  1. Diving in
  2. Basics
  3. Classes That Act Like Iterators
  4. Computed Attributes
  5. Classes That Act Like Functions
  6. Classes That Act Like Sequences
  7. Classes That Act Like Dictionaries
  8. Classes That Act Like Numbers
  9. Classes That Can Be Compared
  10. Classes That Can Be Serialized
  11. Classes That Can Be Used in a with Block
  12. Really Esoteric Stuff

Orphans (not sure where these belong yet):

• Tuples
• List comprehensions
• Set comprehensions
• Dictionary comprehensions
• Views (several dictionary methods return them, they're dynamic, update when the dictionary changes, etc.)
• Function annotations
• PEP 8 style conventions
• Decorators
  1. @unittest.skipUnless(sys.platform.startswith("win"), "requires Windows")
• Importing modules
  1. ...mention why from module import * is only allowed at module level

© 2001–9 Mark Pilgrim