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Python 3000

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TimChen (from KaLUG) on the near-to-release Python 3000

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Python 3000

  1. Python 3.0 (Py3K) Introduction <ul><ul><li>Authors: timchen119.nospam.at.gmail.com ( 使徒提姆 ) </li></ul></ul><ul><ul><li>Location: Taiwan COSCUP 2008 </li></ul></ul><ul><ul><li>Date: 2008/08/24 </li></ul></ul><ul><ul><li>Blog: http://timchen119.blogspot.com </li></ul></ul><ul><ul><li>This document has licensed as CC-SA 2.0 </li></ul></ul>
  2. Topic <ul><li>Introduction </li></ul><ul><li>New syntax </li></ul><ul><li>New Feature </li></ul><ul><li>Migratation </li></ul>
  3. Introduction <ul><li>Python is a dynamic object-oriented programming language that can be used for many kinds of software development. </li></ul><ul><li>Last Stable Release: Python 2.5.2 (February 22, 2008) </li></ul><ul><li>Last Beta Release: Python 2.6beta2 and 3.0beta2 (July 17, 2008) </li></ul><ul><li>Python 3000, Python 3.0 and Py3K are all names for the same thing. </li></ul>
  4. Introduction (cont.) <ul><li>The actual Python release will be referred as Python 3.0. </li></ul><ul><li>Sep 03 2008: Python 2.6 and 3.0 final released. (planned) </li></ul><ul><li>Python 2.6: a transitional release to help prepare code for Python 3.0. </li></ul>
  5. Python 3.0 IS... <ul><li>backwards-incompatible. </li></ul><ul><li>remove some previous design mistakes. </li></ul><ul><li>reviewing and improving standard library modules. </li></ul><ul><li>django and some python modules may have tools to generate python 2.x/3.0 code from single code base. </li></ul>
  6. What is NOT changed <ul><li>Guido said in PEP 3099. (PEP: Python Enhancement Proposals) </li></ul><ul><li>Python 3000 will NOT be a rewrite from scratch. </li></ul><ul><li>Python 3000 will NOT be case-insensitive. </li></ul><ul><li>self will NOT become implicit. </li></ul>
  7. What is NOT changed (cont.) <ul><li>lambda will NOT be renamed. </li></ul><ul><li>NO braces. (from __future__ import braces) </li></ul><ul><li>The global statement WILL stay. </li></ul>
  8. print() <ul><li>from statement to function </li></ul><ul><li>2.x you can: print(&quot;Hello&quot;) or print &quot;Hello&quot; </li></ul><ul><li>3.0 you have to add () </li></ul><ul><li>raw_input(now input) was a function </li></ul><ul><li>print >> open(&quot;test.txt&quot;,&quot;w&quot;), &quot;1&quot;,&quot;2&quot;,&quot;3&quot; -> (X) </li></ul><ul><li>print(&quot;1&quot;, &quot;2&quot;, &quot;3&quot;, file=open(&quot;test.txt&quot;,&quot;w&quot;)) -> (O) </li></ul>
  9. format() <ul><li>in python 2.x:: </li></ul><ul><ul><li>t=[1,2,3];&quot;abc%s&quot; % t -> 'abc[1, 2, 3]' </li></ul></ul><ul><ul><li>t=(1,2,3);&quot;abc%s&quot; % t -> TypeError </li></ul></ul><ul><li>format() #PEP 3101 </li></ul><ul><li>can define __format__() special method </li></ul><ul><li>&quot;%14.12s&quot; % &quot;hello world! hello!&quot; </li></ul><ul><li>==> </li></ul><ul><li>format(&quot;Hello world! Hello World!&quot;,&quot;>14.12&quot;) </li></ul>
  10. Python 3.0 Hello World 101 <ul><li>print(&quot;hello world!&quot;) </li></ul><ul><li>(lambda:print(&quot;hello world!&quot;))() </li></ul><ul><li>print(&quot;hello {what}&quot;.format(what='world!')) </li></ul><ul><li>print(&quot;{0} {1}&quot;.format('hello','world!')) </li></ul><ul><li>print(&quot;hello {0.name}&quot;.format(open('world!', 'w'))) </li></ul><ul><li>print(&quot;hello {0[what]}&quot;.format(dict(what='world!'))) </li></ul><ul><li>print(&quot;hello {0[what]}&quot;.format({'what':'world!'})) </li></ul>
  11. unicode <ul><li>unicode(charset) is not utf-8 (bytestring). </li></ul><ul><li>unicode == str now. (no unicode type in 3.0) </li></ul><ul><li>add a bytes type, bytes('test','utf-8') </li></ul><ul><li>'開源'.encode('utf-8')==> b'xe9x96x8bxe6xbax90' </li></ul><ul><li>'開源'.encode('cp950')==> b'xb6}xb7xbd' </li></ul><ul><li>Unicode(2.x) -> str(3.x) </li></ul><ul><li>str(2.x) -> bytes(3.x) </li></ul>
  12. abc,collections <ul><li>PEP 3119 </li></ul><ul><li>Abstract Base Class </li></ul><ul><li>module collections </li></ul><ul><li>OOP term 'Invocation' : object.method() ==> implies polymorphis </li></ul><ul><li>polymorphism: 'type-of object'.method() : may run different code when types different. </li></ul><ul><li>duck typing polymorphism: assume object is a duck if it can quacks. -- inspection style, check from external. (did not use object's method to check) </li></ul>
  13. a situation without using abc <ul><li>Situation: you want to accept iterables from one of following datatypes: dict or tuples. </li></ul><ul><li>you use hasattr(my_iterables,'items') </li></ul><ul><li>may lead to unexpected behavior. </li></ul><ul><li>does it support dict-like objects? isn't that main advantages to use duck-typing ? </li></ul><ul><li>what is a dict? </li></ul>
  14. abc,collections (cont.) <ul><li>there maybe a dict without __contains__ and have has_key() function. </li></ul><ul><li>here comes abc ==> Abstract base classes </li></ul><ul><li>what to inspect? there are too many stuffs in a python object to check. </li></ul><ul><li>abc and collection modules intends to answer these questions: </li></ul><ul><ul><li>what is a 'MutableMapping' ? </li></ul></ul><ul><ul><li>what is a 'Iterable' ? </li></ul></ul><ul><ul><li>and what is a 'MyAbstractType' ? </li></ul></ul>
  15. abc,collections (cont.) <ul><li>isinstance([], collections.MutableSequence) </li></ul><ul><li>@abstractmethod, @abstractproperty </li></ul>
  16. abc example <ul><li>http://lucumr.pocoo.org/cogitations/tag/py3k/ </li></ul><ul><li>Python2 </li></ul><ul><ul><li>try: </li></ul></ul><ul><ul><li>iter(obj) </li></ul></ul><ul><ul><li>except TypeError: </li></ul></ul><ul><ul><li>do_something_with_not_iterable_object(obj) </li></ul></ul><ul><ul><li>else: </li></ul></ul><ul><ul><li>do_something_with_iterable_object(obj) </li></ul></ul>
  17. abc example (cont.) <ul><li>Python3 </li></ul><ul><ul><li>from collections import Iterable </li></ul></ul><ul><ul><li>if isinstance(obj, Iterable): </li></ul></ul><ul><ul><li>the_object_is_iterable() </li></ul></ul><ul><ul><li>else: </li></ul></ul><ul><ul><li>the_object_is_not_iterable() </li></ul></ul>
  18. abc (cont.) <ul><li>your custom class doesn't need to inherit from the base class. </li></ul><ul><li>how to do it? </li></ul><ul><li>collections.Iterable.register(myclass) </li></ul><ul><li>how to register your module to abc: </li></ul><ul><li>from _yourlinkedlist import YourLinkedList </li></ul><ul><li>from collections import Sequence </li></ul><ul><li>Sequence.register(YourLinkedList) </li></ul>
  19. abc (cont.) <ul><li>your C extension module works great. </li></ul><ul><li>io.IOBase, io.BufferedIOBase </li></ul><ul><li>StringIO,cStringIO --> io </li></ul><ul><li>abc --> the pythonic way to do both traditional OOP and duck-typing polymorph in the same time. </li></ul><ul><li>&quot;There should be one and preferably only one obvious way to do it&quot;. </li></ul>
  20. nonlocal <ul><li>PEP 3104 </li></ul><ul><li>python 2.1+ name resolution: LEGB (local => enclosed => global => builtins) </li></ul><ul><li>nested scoping was added when python 2.1 introduced. </li></ul><ul><li>local was always first checked, so if you assigned a local varible in a scope it assume that 'name' is a local, it's too bad for a closure. </li></ul><ul><li>there was some working arounds, however python 3.0 add a keyword: nonlocal. </li></ul>
  21. closure (it's read-only) <ul><li>python 2.x </li></ul><ul><li>def get_counter_py2(): </li></ul><ul><li>x = 0 </li></ul><ul><li>def f(): </li></ul><ul><li>x += 1 </li></ul><ul><li>return x </li></ul><ul><li>return f </li></ul><ul><li>add1 = get_counter_py2() </li></ul><ul><li>print add1();print add1();print add1() </li></ul>
  22. closure (it's read-only) <ul><li>python 2.x error:: </li></ul><ul><li>Traceback (most recent call last): </li></ul><ul><li>File &quot;counter.py&quot;, line 10, in <module> </li></ul><ul><li>print next() </li></ul><ul><li>File &quot;counter.py&quot;, line 4, in f </li></ul><ul><li>x += 1 </li></ul><ul><li>UnboundLocalError: </li></ul><ul><li>local variable 'x' referenced before assignment </li></ul>
  23. closure(cont.) <ul><li>closure working around in 2.x (1):: http://aspn.activestate.com/ASPN/Cookbook/Python/Recipe/474122 </li></ul><ul><li>def get_counter_traditional(): </li></ul><ul><li>x = [0] </li></ul><ul><li>def f(): </li></ul><ul><li>x[0] += 1 </li></ul><ul><li>return x[0] </li></ul><ul><li>return f </li></ul>
  24. closure(cont.) <ul><li>closure working around in 2.x (2):: </li></ul><ul><li>def get_counter_neat(): </li></ul><ul><li>def f(): </li></ul><ul><li>f.x += 1 </li></ul><ul><li>return f.x </li></ul><ul><li>f.x = 0 </li></ul><ul><li>return f </li></ul><ul><li>&quot;To describe something as clever is NOT considered a compliment in the </li></ul><ul><li>Python culture.&quot; -- Alex Martelli (Python Cookbook 2nd.) </li></ul>
  25. closure with nonlocal(cont.) <ul><li>py3k used nonlocal:: </li></ul><ul><li>def get_counter_py3k(): </li></ul><ul><li>x=0 </li></ul><ul><li>def f(): </li></ul><ul><li>nonlocal x </li></ul><ul><li>x += 1 </li></ul><ul><li>return x </li></ul><ul><li>return f </li></ul><ul><li>add1 = get_counter_py3k() </li></ul><ul><li>print(add1());print(add1());print(add1()) </li></ul>
  26. closure with nonlocal(cont.) <ul><li>py3k used nonlocal:: </li></ul><ul><li>def get_counter_py3k(x): </li></ul><ul><li>def f(): </li></ul><ul><li>nonlocal x </li></ul><ul><li>x += 1 </li></ul><ul><li>return x </li></ul><ul><li>return f </li></ul><ul><li>next = get_counter_py3k(1) print(add1());print(add1());print(add1()) </li></ul><ul><li>* &quot;There should be one and preferably only one obvious way to do it&quot;. </li></ul>
  27. function annotations <ul><li>PEP 3107 -- completely optional. </li></ul><ul><li>def foo(a: 'x' , b: 5 + 6 , c: list = [5,2,3]) -> max(2, 9): pass </li></ul><ul><li>foo.__annotations__ -> {'a': 'x', 'c': <class 'list'>, 'b': 11, 'return': 9} </li></ul><ul><li>you could think as a compile time comment for function. </li></ul><ul><li>intend to used by third-party libraries. ie: typecheck </li></ul><ul><li>&quot;There should be one and preferably only one obvious way to do it&quot;. </li></ul>
  28. Misc. <ul><li>__package__:: </li></ul><ul><li>PEP 366 -- Main module explicit relative imports </li></ul><ul><li>Extended unpacking:: </li></ul><ul><li>x,*y = range(6) </li></ul><ul><li>a,b,*c = {1:2,3:4,5:6} </li></ul>
  29. Misc. (cont.) <ul><li>map() filter() reduce() and list compresion:: </li></ul><ul><li>map() and filter() becomes iterator and still in builtins </li></ul><ul><li>reduce() placed in functools module </li></ul><ul><li>range():: </li></ul><ul><li>next(range(10)) : TypeError: range object is not an iterator </li></ul>
  30. migrate py3k use 2to3 <ul><li>* /usr/bin/2to3 (/usr/local/bin/2to3) </li></ul><ul><li>2to3 -w 2.py:: </li></ul><ul><li>--- 2.py (original) </li></ul><ul><li>+++ 2.py (refactored) </li></ul><ul><li>@@ -1,1 +1,1 @@ </li></ul><ul><li>-print 'hi' </li></ul><ul><li>+print('hi') </li></ul><ul><li>RefactoringTool: Files that were modified: </li></ul><ul><li>RefactoringTool: 2.py </li></ul>
  31. Conclude <ul><li>a lot of stuff changed. (there're still lots of stuff we don't mention changed!) </li></ul><ul><li>you could still use python 2.x and wait python 3.x matures. </li></ul><ul><li>2.6+ will recieve backports from python 3.0 </li></ul><ul><li>from __future__ import py3k </li></ul>

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