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 * `Python Design Patterns, Part 1`_ by Alex Martelli, March 2007 *(58 min 47 sec)*  * `Iterators, Generators, and Descriptors`_ by Guido van Rossum, October 2003* (? hr ?? min ?? sec)*
Line 18: Line 18:
   Design Patterns must be studied in the context on the language
   in which they'll get implemented (the Gang of Four made that
   point very strongly in their book, though almost everybody else
   seems not to have noticed :-). This talk explores several
   categories of classic "elementary" DPs in a Python context --
   Creational, Masquerading, Adaptation, and Template.
   This is a "What's New in Python 2.3" talk delivered to the EE380
   course at Stanford that contains
   a lengthy discussion of iterators and generators, followed by a
   somewhat shorter discussion of descriptors.
Line 25: Line 23:
 * `Python Design Patterns, Part 2`_ by Alex Martelli, April 2007 *(44 min 28 sec)*  * `Python 3000`_ by Guido van Rossum, July 2006 *(1 hr 6 min 41 sec)*

   The next major version of Python, nicknamed Python 3000 (or more
   prosaically Python 3.0), has been anticipated for a long time.
   For years I have been collecting and exploring ideas that were
   too radical for Python 2.x, and it's time to stop dreaming and
   start coding. In this talk I will present the community process
   that will be used to complete the specification for Python 3000,
   as well as some of the major changes to the language and the
   remaining challenges.
Line 33: Line 40:
 * `Advanced Python or Understanding Python`_ by Thomas Wouters, February 2007 *(1 hr 15 min 43 sec)*  * `Introducing Python`_ by Arlington Career Center Multimedia and Yorktown High School, November 2006 *(23 min 50 sec)*
Line 35: Line 42:
   The Python language, while object-oriented, is fundamentally
   different from both C++ and Java. The dynamic and introspective
   nature of Python allow for language mechanics unlike that of
   static languages. This talk aims to enlighten programmers new
   to Python about these fundamentals, the language mechanics that
   flow from them and how to effectively put those to use. Among
   the topics covered are duck-typing, interfaces, descriptors,
   decorators, metaclasses, reference-counting and the cyclic-garbage
   collector, the divide between C/C++ data and Python objects and
   the CPython implementation in general.
   A light-hearted introductory activity for a computer science
   course, this video contains interviews with luminaries from the
   Python community interspersed with A Python Love Story.

   A joint, interdisciplinary project between Arlington Career
   Center Multimedia and Yorktown High School Drama and Computing,
   the Python Project builds on the successful use of Python as a
   teaching tool in Yorktown's Computer Science Program. It was
   shown at the 9th and 10th International Python Conferences.
Line 65: Line 71:
 * `Python 3000`_ by Guido van Rossum, July 2006 *(1 hr 6 min 41 sec)*

   The next major version of Python, nicknamed Python 3000 (or more
   prosaically Python 3.0), has been anticipated for a long time.
   For years I have been collecting and exploring ideas that were
   too radical for Python 2.x, and it's time to stop dreaming and
   start coding. In this talk I will present the community process
   that will be used to complete the specification for Python 3000,
   as well as some of the major changes to the language and the
   remaining challenges.

 * `Python 3000 (2)`_ by Guido van Rossum, February 2007 *(1 hr 25 min 54 sec)*
 * `Python 3000 (2)`_ by Guido van Rossum, February 14, 2007 *(1 hr 25 min 54 sec)*
Line 88: Line 83:
 * `Iterators, Generators, and Descriptors`_ by Guido van Rossum, October 2003* (? hr ?? min ?? sec)*  * `Advanced Python or Understanding Python`_ by Thomas Wouters, February 21, 2007 *(1 hr 15 min 43 sec)*
Line 90: Line 85:
   This is a "What's New in Python 2.3" talk delivered to the EE380
   course at Stanford that contains
   a lengthy discussion of iterators and generators, followed by a
   somewhat shorter discussion of descriptors.
   The Python language, while object-oriented, is fundamentally
   different from both C++ and Java. The dynamic and introspective
   nature of Python allow for language mechanics unlike that of
   static languages. This talk aims to enlighten programmers new
   to Python about these fundamentals, the language mechanics that
   flow from them and how to effectively put those to use. Among
   the topics covered are duck-typing, interfaces, descriptors,
   decorators, metaclasses, reference-counting and the cyclic-garbage
   collector, the divide between C/C++ data and Python objects and
   the CPython implementation in general.
Line 95: Line 96:
 * `Introducing Python`_ by Arlington Career Center Multimedia and Yorktown High School, November 2006 *(23 min 50 sec)*  * `Python Design Patterns, Part 1`_ by Alex Martelli, March 2007 *(58 min 47 sec)*
Line 97: Line 98:
   A light-hearted introductory activity for a computer science
   course, this video contains interviews with luminaries from the
   Python community interspersed with A Python Love Story.
   Design Patterns must be studied in the context on the language
   in which they'll get implemented (the Gang of Four made that
   point very strongly in their book, though almost everybody else
   seems not to have noticed :-). This talk explores several
   categories of classic "elementary" DPs in a Python context --
   Creational, Masquerading, Adaptation, and Template.
Line 101: Line 105:
   A joint, interdisciplinary project between Arlington Career
   Center Multimedia and Yorktown High School Drama and Computing,
   the Python Project builds on the successful use of Python as a
   teaching tool in Yorktown's Computer Science Program. It was
   shown at the 9th and 10th International Python Conferences.
 * `Python Design Patterns, Part 2`_ by Alex Martelli, April 2007 *(44 min 28 sec)*
Line 107: Line 107:
.. _`Iterators, Generators, and Descriptors`: http://stanford-online.stanford.edu/courses/ee380/031029-ee380-100.asx
.. _`Python 3000`: http://video.google.com/videoplay?docid=-6459339159268485356&q=python+programming
.. _`Better, faster, smarter: Python yesterday, today ... and tomorrow`: http://video.google.com/videoplay?docid=4539942226071440048&hl=en
.. _`Introducing Python`: http://video.google.com/videoplay?docid=9023849479319414382&q=python+programming
.. _`How Open Source Projects Survive Poisonous People`: http://video.google.nl/videoplay?docid=-4216011961522818645
.. _`Python 3000 (2)`: http://video.google.com/videoplay?docid=1189446823303316785
Line 108: Line 114:
.. _`Better, faster, smarter: Python yesterday, today ... and tomorrow`: http://video.google.com/videoplay?docid=4539942226071440048&hl=en
.. _`Python 3000`: http://video.google.com/videoplay?docid=-6459339159268485356&q=python+programming
.. _`Python 3000 (2)`: http://video.google.com/videoplay?docid=1189446823303316785
.. _`How Open Source Projects Survive Poisonous People`: http://video.google.nl/videoplay?docid=-4216011961522818645
Line 114: Line 116:
.. _`Introducing Python`: http://video.google.com/videoplay?docid=9023849479319414382&q=python+programming
.. _`Iterators, Generators, and Descriptors`: http://stanford-online.stanford.edu/courses/ee380/031029-ee380-100.asx

Library of Video Lectures

A collection of video lectures suitable for projection at fledgling usergroup meetings to supply initial presentation material.

The video should be of high quality - readable on a large screen with audible sound, and given by a speaker who knows his stuff and presents well. Flash-based video, as found on youtube.com, is often of low resolution. Use the downloadable video formats for presentation.

You can find a list of audio-only presentations on the PythonAudioMaterial page.


  • Iterators, Generators, and Descriptors by Guido van Rossum, October 2003* (? hr ?? min ?? sec)*

    This is a "What's New in Python 2.3" talk delivered to the EE380 course at Stanford that contains a lengthy discussion of iterators and generators, followed by a somewhat shorter discussion of descriptors.

  • Python 3000 by Guido van Rossum, July 2006 (1 hr 6 min 41 sec)

    The next major version of Python, nicknamed Python 3000 (or more prosaically Python 3.0), has been anticipated for a long time. For years I have been collecting and exploring ideas that were too radical for Python 2.x, and it's time to stop dreaming and start coding. In this talk I will present the community process that will be used to complete the specification for Python 3000, as well as some of the major changes to the language and the remaining challenges.

  • Better, faster, smarter: Python yesterday, today ... and tomorrow by Alex Martelli, October 12, 2006 (1 hr 2 min 35 sec)

    A presentation to the Bay Area Python Interest Group, giving some historical introduction on Python 2.x and how it is developed, and then moving on to the features of Python 2.5.

  • Introducing Python by Arlington Career Center Multimedia and Yorktown High School, November 2006 (23 min 50 sec)

    A light-hearted introductory activity for a computer science course, this video contains interviews with luminaries from the Python community interspersed with A Python Love Story.

    A joint, interdisciplinary project between Arlington Career Center Multimedia and Yorktown High School Drama and Computing, the Python Project builds on the successful use of Python as a teaching tool in Yorktown's Computer Science Program. It was shown at the 9th and 10th International Python Conferences.

  • How Open Source Projects Survive Poisonous People by Ben Collins-Sussman & Brian W. Fitzpatrick, January 2007 (54 min 55 sec)

    By two of the authors of Subversion, Ben and Brian present on the social and organizational elements involved in protecting the attention and focus of your group, and how to build a healthy community. They relate the bikeshed story and then launch into how to deal with those people who, often unintentionally are selfish, uncooperative, and disrespectful. These people can silently poison the atmosphere of a happy developer community. Come learn how to identify these people and peacefully defuse them before they derail your group. Told through a series of (often amusing) real-life anecdotes and experiences.

    Although the talk is focused on development teams, many of the principles relate to general communities such as usergroups. And of course many usergroups will run a group project or two and could benefit from these tips in that way as well.

  • Python 3000 (2) by Guido van Rossum, February 14, 2007 (1 hr 25 min 54 sec)

Since the renewed Python 3000 effort was announced at PyCon 2006, a lot has happened. We've implemented about half of the promised changes in a branch, we've solidified the schedule, there's a refactoring tool that can do source-to-source translations, and we've produced several gigabytes of discussion about language change proposals (most of which were deemed too radical in the end :-). In this talk, a preview of a keynote to be given at PyCon 2007, I'll discuss the Python 3000 road map, status, and what this means for the average Python user.
  • Advanced Python or Understanding Python by Thomas Wouters, February 21, 2007 (1 hr 15 min 43 sec)

    The Python language, while object-oriented, is fundamentally different from both C++ and Java. The dynamic and introspective nature of Python allow for language mechanics unlike that of static languages. This talk aims to enlighten programmers new to Python about these fundamentals, the language mechanics that flow from them and how to effectively put those to use. Among the topics covered are duck-typing, interfaces, descriptors, decorators, metaclasses, reference-counting and the cyclic-garbage collector, the divide between C/C++ data and Python objects and the CPython implementation in general.

  • Python Design Patterns, Part 1 by Alex Martelli, March 2007 (58 min 47 sec)

    Design Patterns must be studied in the context on the language in which they'll get implemented (the Gang of Four made that point very strongly in their book, though almost everybody else seems not to have noticed :-). This talk explores several categories of classic "elementary" DPs in a Python context -- Creational, Masquerading, Adaptation, and Template.

  • Python Design Patterns, Part 2 by Alex Martelli, April 2007 (44 min 28 sec)

Advocacy/VideoLectures (last edited 2009-05-08 13:36:45 by AndrewKuchling)

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