Software Carpentry

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SciPy’06: First Morning

Guido van Rossum’s Keynote

  • Python 2.5 coming Real Soon (Sept 12)
  • Python 3000 is a brand-new revision of the language
    • Name chosen as a dig at Windows 2000, and so that it couldn’t possibly be late
  • Fix design bugs dating from 1990-91 + get rid of deprecated features
  • First time Guido has allowed himself to be backward incompatible
  • Need process, but don’t want to become C++ or the next Perl 6
  • Alpha early 2007, final a year later (early 2008)
  • Cares a lot about bringing users with him
    • Will go as far as 2.9 (run out of digits)
  • Changes:
    • New keywords allowed
    • dict.keys(), range(), zip() won’t return lists
    • All strings Unicode; mutable ‘bytes’ data type
    • Binary file I/O redesign
    • Drop as an alias for !=
    • Etc.
  • See PEP 3099 for things that won’t happen (e.g., programmable syntax)
  • Can’t do perfect mechanical translation (dynamic languages)
    • Use pychecker-like tool to handle 80% of cases
    • Create instrumented Python 2.x that warns about “doomed” constructs
  • See PEP 3100 for the laundry list
  • Small points
    • Kill classic classes
    • Exceptions must derive from BaseException
    • int/int will return a float
    • Remove last differences between int and long
    • Absolute import by default
    • Kill sys.exc_type and friends
    • Kill dict.has_key, file.xreadlines()
    • Kill apply(), input(), buffer(), coerce()
    • Kill ancient library modules; more stdlib cleanup
    • exec becomes a funciton again
    • Kill `x` in favor of repr(x)
    • Change except clause syntax to exception E1, E2, E3 as err
      • Means “as” becomes a keyword
    • [f(x) for x in S] becoms sugar for list(f(x) for x in S)
      • General trend in Python away from lists toward more abstract structures
    • Kill raise E, arg in favor of raise E(arg)
    • zip becomes izip
  • lambda lives!
  • String types reform (bytes and str instead of str and unicode)
    • All data s either ibnary or text (conversions happen at I/O time)
    • Different APIs for binary and text streams
  • New standard I/O stack
    • C stdio has too many problems
    • Borrow from Java streams API (bleah)
  • Print becomes a function (boo)
    • See mailing list thread for justification
    • But I think that putting the output file at the end in print(x, y, file=z) is going to trip people up
  • Dict views instead of lists
    • dict.keys() and dict.items() return a set view
    • dict.views() will return a bag (multiset) view
    • Can delete from (but not add to) a view
      • Modifies the dict accordingly
  • Drop default implementations of comparison operators
    • <, <=, etc., currently compare by address — will raise TypeError
    • == and != should remain (useful)
  • Generic and overloaded functions (see his blog — running out of time)
  • Python sprints coming up (Aug 21-24)
  • Q&A
    • Py3K team is smaller than Perl6 — GvR optimistic that people will get the work done
    • Taking advantage of multicore?
      • GvR not a big fan of threads
      • Prefers loose coupling (one process per core)
      • Last attempt to get rid of the GIL slowed Python down by 2X
      • But neither Jython nor IronPython have a GIL
    • Will C-Python API change much?
      • Yup — just like the language
    • PyPy/type inference?
      • Python 4.0 or a sibling language

Travis Oliphant on the State of NumPy

  • Chair thanked him for everything he’s done to fix numerical Python — standing ovation (well deserved)
  • NumPy 1.0 rc1 will be out in a few weeks
  • Walked through design — tradeoffs between flexibility, portability, and performance very well thought through
  • One part I enjoyed was the way he flipped back and forth between PowerPoint and the interpreter
    • Clear that for him, Python is a tool for thinking with
  • Showed off weave, an Enthought tool for embedding C in Python for array programming
  • Also shows off Pyrex (another tool for the same purpose)

Fernando Perez: Python for Modern Scientific Algorithm Development

  • “Why is Python more than ‘free MATLAB’?”
    • Power of built-in datatypes, higher-level programming, etc.

Michael Aivazis: “Building a Distributed Component Framework”

  • Described a medium-sized framework called pyre
    • 1200 classes, 75K lines of Python, 30K lines of C++
    • Has been running in various incarnations for almost ten years
  • Good discussion of architectural issues — perfect example of the kind of researcher I’d like Software Carpentry to produce

Written by Greg Wilson

2006/08/17 at 18:09

Posted in Community

One Response

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  1. Spelling error:

    All data s either ibnary or text (conversions happen at I/O time)


    2006/09/13 at 08:44

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