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briandonovan writes "World Wide Web Consortium (W3C) Director Tim Berners-Lee and his compatriots would like to transform the current Web into a 'Semantic Web' where 'software agents roaming from page to page can readily carry out sophisticated tasks for users' using 'structured collections of information and sets of inference rules.' The Resource Description Framework (RDF), designed as a language for expressing information about resources on the Web, and allied technologies are the result to date of ongoing efforts at the W3C to furnish Semantic Web proponents with the requisite tools. While it's far too early to predict whether TimBL's grand vision will be realized, RDF/XML (the XML serialization of RDF) is already in widespread use, having been incorporated into a surprising array of applications." Read on below for briandonovan's link-stuffed review of O'Reilly's Practical RDF. Practical RDF: Solving Problems with the Resource Description Framework author Shelley Powers pages 331 publisher O'Reilly & Associates rating 9/10 reviewer Brian Donovan ISBN 0596002637 summary Great introduction to RDF, an assortment of tools and utilities for working with RDF, and some real-world applications.

RDF first hit my radar screen a couple of years ago while I was working on a barebones tool to manage my personal website. I was writing the code to generate RSS feeds ("What is RSS?") for my site and had to choose whether to support RSS 0.9x (non-RDF) or RSS 1.0 (RDF-based) or both. Long story short: I went with RSS 1.0 and was able to implement the feeds, but never got any further into RDF afterwards. I couldn't make headway through the RDF-related working drafts rapidly enough to justify the time that I was spending, there weren't any worthwhile-looking books available at the time, and the few online tutorials that I found were sorely lacking -- possibly because the specs themselves were still evolving as the RDF Core Working Group hashed out some remaining issues.

Fast forward a few years: the dust in RDF-land seems to be settling a bit (although new working drafts of all of the current RDF specs were released on September 5th, most of the changes from previous versions appear to be relatively minor) and, with the publication of Shelley Powers' Practical RDF: Solving Problems with the Resource Description Framework, there's finally a good book available on the subject.

Overview After an introductory chapter that touches on the history of RDF and some applications of RDF/XML (the preferred, W3C-blessed serialization of RDF), the book is divided into three broad sections. In the first, the reader is guided through the raft of documentation produced by the RDF Core WG, including : Resource Description Framework (RDF): Concepts and Abstract Data Model, RDF/XML Syntax Specification, RDF Model Theory (formerly Semantics), and RDF Vocabulary Description Language 1.0: RDF Schema. Before moving on to Part II, where she surveys programming language support and tools available for working with RDF (with code snippets where appropriate), Powers spends a chapter developing an RDF vocabulary, "PostCon," that's used throughout the remainder of the book for demo purposes.

Chapter 7, the first in the tools-focused portion of Practical RDF is dedicated to (mostly Java-based) editors, parsers, validators, browsers, etc. for desktop use. Next, she dives into Jena, the Java RDF toolkit that began life as the labor of love of HP Labs researcher Brian McBride before being elevated to the status of a formal HP Labs project under their Semantic Web Research umbrella. Another HP Labs Semantic Web project, Damian Steer's BrownSauce, a slick little Java-based RDF browser, was introduced back in Chapter7. Means for manipulating RDF/XML in Perl (RDF::Core, part of Ginger Alliance's PerlRDF project), PHP (RAP, the RDF API for PHP), and Python (RDFLib) are addressed in Chapter 9. RDF query engines/languages are taken up next -- rdfDB QL, the query language of R.V. Guha's rdfDB (written in C); SquishQL, implemented in the Java-based Inkling query engine (built atop PostgreSQL); RDQL, used within Jena; and Sesame, a JSP/Servlet querying engine that supports both RDQL and its own query language, RQL, and can be deployed atop MySQL or PostgreSQL. Powers rounds out this part of her book with a chapter that deals briefly with the leftovers. Drive, an RDF API for C#, is briefly discussed along with RDF APIs for less fashionable programming languages : Nokia's Wilbur for CLOS, XOTcl for Tcl, and RubyRDF for Ruby. Redland, an RDF toolkit written in C with Java, Perl, PHP, Python, Ruby, and Tcl wrappers, is covered at some length (about half a dozen pages) and a couple more are given over to Redfoot, a Python RDF framework consisting of RDFLib (mentioned earlier in the Perl/PHP/Python chapter), a small-footprint HTTP server (according to the changelog at redfoot.net, they're using Medusa), and a native scripting language called Hypercode that lives within CDATA blocks in RDF/XML (example).

The last third of Practical RDF is devoted to uses of RDF and begins with a chapter on the OWL Web Ontology Language, an extension to RDF that's designed to supply more constraints for RDF vocabularies than can be provided by RDF Schema alone. This chapter would have been better situated after Chapter 5, which addresses RDF Schema, and feels a bit out of place here. RSS 1.0, the RDF-based syndication format, gets a chapter all of its own, beginning with a short synopsis of the evolution of RSS and the rift between the RSS 0.9x/2.0 and RSS 1.0 camps, progressing through descriptions of the RSS elements, some discussion of the use of modules, RSS autodiscovery, and aggregators (Amphetadesk, Meerkat, and NetNewsWire are mentioned), and finishing with an example RSS file (a syndicated list of book recommendations), producing RSS 1.0 using the Informa RSS Library (a set of Java classes), and merging two RSS 1.0 files using the XML::RSS Perl module. Two "Applications Based on RDF" (commercial and noncommercial) chapters top off the book. Noncommercial applications of RDF are visited first : Mozilla, where history and bookmarks, among other classes of information, are stored in RDF; the Creative Commons licensing scheme, whose proponents encourage content creators to embed RDF snippets into their documents and applications to provide information about the work itself and the restrictions placed on its reuse under the particular CC license that they've chosen; a Java and PostgreSQL based digital library system jointly developed by MIT and HP that uses RDF; and FOAF (Friend-of-a-Friend), an RDF vocabulary designed to express personal information and interpersonal relationships. Among the list of commercial applications utilizing RDF that comprises the final chapter in the book is Chandler, the same as yet very-alpha personal information manager that's managed to garner multiple mentions on this site.

The Verdict

The real meat of Practical RDF, for me, was in Chapters 1 through 6 (plus the OWL chapter, Chapter 12). This is not to say that the material in the last 2/3 of the book isn't useful or interesting. The section on RDF software tools is a great annotated survey of what's out there right now ... and I would imagine that installing and testdriving each of the software applications featured in those chapters must have been an extremely time-consuming process. The chapters describing real-world applications of RDF could be useful to someone trying to convince a manager that RDF is a viable, widely-used technology. Given a choice, though, I would rather have seen those pages spent on additional coverage of RDF, RDFS, and OWL with more example RDF vocabularies developed (like PostCon, which the author formulated, then refined through RDFS and OWL). The displaced material could have been made available online at the author's site for the book. A lot of that information will become less accurate over time as the software evolves and people come up with more applications for RDF anyway.

All nitpicking aside, though, if you're looking for a book on RDF, then you can't go wrong with Shelley Powers' Practical RDF.

You can purchase Practical RDF from bn.com. Slashdot welcomes readers' book reviews -- to see your own review here, read the book review guidelines, then visit the submission page.

Slashback tonight brings a few followups to recent Slashdot postings on the fate of model rocketry in the new, hypercautious America; a few Python gatherings for those who prefer that language to Perl; and a response from Los Alamos to recent claims of lax security. Enjoy!

Besides which, it's the hidden cameras that matter. An anonymous reader adds this followup to the story posted last month about Wired reporter Noah Shachtman's account of sneaking into classified areas at Los Alamos national Laboratory.

"In an email message to all Los Alamos National Laboratory employees, Pete Nanos, the current Director of LANL, responded with information suggesting that the Wired reporter who thought he had broken in to a 'top secret area' had in fact just crossed a cattle fence:

'The Wired reporter clearly did not enter a Laboratory security area. The Laboratory encompasses more than 40 square miles. The security force protects important assets within those boundaries but cannot -- and does not -- protect every square foot of property. Based on the article, it appears the reporter crossed a barbed-wire cattle fence, not a fence that protects a Los Alamos security area.
There is a small security area with several buildings (roughly 400 feet by 400 feet) near the driveway entrance to TA-33. That area is surrounded by a seven-foot-high chain-link fence topped with three strands of barbed wire. A security guard is stationed inside that area seven days a week and 24 hours a day. Clearly, the reporter did not climb that fence.
There are several other buildings outside the security area that are locked for property protection interests. They have no security interests. There are several gates and fenced areas on the TA-33 site, which are there for safety access control, not security.
It's unlikely the reporter would be prosecuted for trespassing; the Laboratory does not have law enforcement authority to prosecute, and none of the proper authorities witnessed the trespass.'"

Perhaps we can have a celebrity deathmatch. hfastedge writes "Ok, now that 2 perl conferences have been mentioned, I've been brought over the edge. Python is a language that is just as old, and arguably better from: most importantly a uniform standard of readability (enforced by using whitespace to delimit blocks (instead of {}), by avoiding overuse of cryptic symbols, and by a culture that strives to keep innovations as "pythonic"), and a rich development community. Anyway, normally, there are Python events in Europe, and a trail at O'Reilly's OSCON. But now, there is a far cheaper event taking place on March 24-28 in Washington DC: http://python.org/pycon/.

Examples of Python in action: 0, 1, 2, 3, 4, 5, 6, 7"

Fly up go phhhhhwwwtttpffffff .... MyNameIsFred writes "Slashdot recently discussed whether anti-terrorism laws would destroy model rocketry. The government has ruled, and the message is clear, "When it comes to the hobby of model rocketry, size does matter. And in this case, the magic number is 62.5 grams. That's the largest amount of propellant a single model rocket engine can have in it and still be exempt from a new set of federal rules that will go into effect May 24." What does this mean for the the big guys in model rocketry, who use engines larger than this?"

742Evergreen writes: "Another Christmas present for the developers: Python 2.2 has been released! A 'What's new' can be found here. Python 2.2 can be found here. Documentation is here."

AMK writes: "I've written an article about Web application architecture, describing the design we use at my workplace which relies on an object-oriented database, a Web app server we wrote, some parts of extreme programming, and lots of Python code. It shows a straightforward way of building a system that can cope with a complex Web-based application."

AMK writes: "I've written an article about Web application architecture, describing the design we use at my workplace which relies on an object-oriented database, a Web app server we wrote, some parts of extreme programming, and lots of Python code. It shows a straightforward way of building a system that can cope with a complex Web-based application."

Here you go - answers to your questions for Guido van Rossum about Python, its future, licensing hassles with the Free Software Foundation, and other neat stuff. Thanks, Guido!

Ruby
by Luke
Thoughts on Ruby?

Guido:
I just looked it up -- I've never used it. Like Parrot, it looks like a mixture of Python and Perl to me. That was fun as an April Fool's joke, but doesn't tickle my language sensibilities the right way.

That said, I'm sure it's cool. I hear it's very popular in Japan. I'm not worried.

Data Structures Library
by GrEp
I love python for making quick hacks, but the one thing that I haven't seen is a comprehensive data structures library. Is their one in development that you would like to comment about or point us to?

Guido:
One of Python's qualities is that you don't need a large data structures library. Rather than providing the equivalent of a 256-part wrench set, with a data type highly tuned for each different use, Python has a few super-tools that can be used efficiently almost everywhere, and without much training in tool selection. Sure, for the trained professional it may be a pain not to have singly- and doubly-linked lists, binary trees, and so on, but for most folks, dicts and lists just about cover it, and even inexperienced programmers rarely make the wrong choice between those two.

Since this is of course a simplification, I expect that we will gradually migrate towards a richer set of data types. For example, there's a proposal for a set type (initially to be added as a module, later as a built-in type) floating. See http://lists.sourceforge.net/lists/listinfo/python-sets and http://python.sourceforge.net/peps/pep-0218.html.

[j | c]Python
by seanw
How do you see the relationship between jPython (the java implementation) and standard cPython (the original C language version) evolving? And do you see the advantages of either one (i.e. portability vs. speed) becoming especially pronounced in light of the recent trend toward distributed software (ala the MS .NET initiative)?

Guido:
Note that the new name is Jython, by the way. Check out www.jython.org -- they're already working on a 2.1 compatible release.

We used to work really close -- originally, when JPytnon was developed at CNRI by Jim Hugunin, Jim & I would have long discussions about how to implement the correct language semantics in Java. When Barry Warsaw took over, it was pretty much the same. Now that it's Finn Bock and Samuele Pedroni in Europe, we don't have the convenience of a shared whiteboard any more, but they are on the Python developers mailing list and we both aim to make it possible for Jython to be as close to Python in language semantics as possible. For example, one of my reasons against adding Scheme-style continuations to the language (this has seriously been proposed by the Stackless folks) is that it can't be implemented in a JVM. I find the existence of Jython very useful because it reminds me to think in terms of more abstract language semantics, not just implementation details.

IMO the portability of C Python is better than that of Jython, by the way. True, you have to compile C Python for each architecture, but there are fewer platforms without a C compiler than platforms without a decent JVM.

Jython is mostly useful for people who have already chosen the Java platform (or who have no choice because of company policy or simply what the competition does). In that world, it is the scripting and extension language of choice.

does Python need a CPAN?
by po_boy
One of the reasons I still write some things in PERL is because I know that I can find and install about a zillion modules quickly and easily through the CPAN repository and CPAN module. I'm pretty sure that if Python had something similar, like the Vaults of Parnassus but more evolved that I would abandon PERL almost entirely.

Do you see things in a similar way? If so, why has Python not evolved something similar or better, and what can I do to help it along in this realm?

Guido:
It's coming! Check out the action in the catalog-sig http://python.org/sigs/catalog-sig/. You can help by joining.

One reason why it hasn't happened already is that first we needed to have a good package installation story. With the widespread adoption of distutils, this is taken care of, and I foresee a bright future for the catalog activities.

Favourite Python sketch?
by abischof
Considering that you named the language after the comedy troupe, what's your favourite Monty Python sketch? Personally, my favourite is the lecture on sheep aircraft, but I suppose that's a discussion for another time ;).

Guido:
I'm a bit tired of them actually. I guess I've been overexposed. :-)

Conflict with GPL
by MAXOMENOS
The Free Software foundation mentions the license that comes with Python versions 1.6b1 and later as being incompatible with the GPL. In particular they have this to say about it:

This is a free software license but is incompatible with the GNU GPL. The primary incompatibility is that this Python license is governed by the laws of the "State" of Virginia in the USA, and the GPL does not permit this.

So, my question is a two parter:

1.What was your motivation for saying that Python's license is governed by the laws of Virginia?

2.Is it possible that a future Python license could be GPL-compatible again?

Guido:
Let me answer the second part first. I asked the FSF to make a clear statement about the GPL compatibility of the Python 2.1, and their lawyer gave me a very longwinded hairsplitting answer that said neither yes nor no. You can read for yourself at http://www.python.org/2.1/fsf.html. I find this is very disappointing; I had thought that with the 1.6.1 release we had most of this behind us, but apparently they change their position at each step in the negotiations.

I don't personally care any more whether Python will ever be GPL-compatible -- I'm just trying to do the FSF a favor because they like to use Python. With all the grief they're giving me, I wonder why I should be bothered any more.

As for the second part: most of you should probably skip right to the next question -- this answer is full of legal technicalities. I've spent waaaaaaaaay to much time talking and listening to lawyers in the past year! :-(

Anyway. The Python 1.6 license was written by CNRI, my employer until May 2000, where I did a lot of work on Python. (Before that, of course, I worked at CWI in Amsterdam, whom I have to thank for making my early work on Python possible.) CNRI own the rights to Python versions 1.3 through 1.6, so they have every right to pick the license.

CNRI's lawyers designed the license with two goals in mind:(1) maximal protection of CNRI, (2) open source. (If (2) hadn't been a prerequisite for my employment at CNRI, they would have preferred not to release Python at all. :-)

Almost every feature of the license works towards protecting CNRI against possible lawsuits from disappointed Python users (as if there would be any :-), and the state of Virginia clause is no exception. CNRI's lawyers believe that sections 4 and 5 of the license (the all caps warnings disclaiming all warranties) only provide adequate protection against lawsuits when a specific state is mentioned whose laws and courts honor general disclaimers. There are some states where consumer protection laws make general disclaimers illegal, so without the state of Virginia clause, they fear that CNRI could still be sued in such a state. (Being a consumer myself, I'm generally in favor of such consumer protection laws, but for open source software that is downloadable for free, I agree with CNRI that without a general disclaimer the author of the software is at risk. I'm happy that Maryland, for example, is considering to pass a law that makes a special exception for open source software here.)

Python 1.6.1, the second "contractual obligation release" (1.6 was the first), was released especially to change CNRI's license in a way that resolved all but one of the GPL incompatibilities in the 1.6 license. I'm not going to explain what those incompatibilities were, or how they were resolved. Just look for yourself by following the "accept license" link at http://www.python.org/1.6.1/. The relevant changes are all in section 7 of the license, which now contains several excruciating sentences crafted to disable certain other clauses of the license under certain conditions involving the GPL. Read it and weep.

The remaining incompatibility, according to the FSF, is the "click-to-accept" feature of the license. This is another feature to protect CNRI -- their lawyers believe that this is necessary to make the license a binding agreement between the user and CNRI. The FSF is dead against this, and their current position is that because the GPL does not require such an "acceptance ceremony" (their words), any license that does is incompatible with the GPL. It's like the old story of the irresistible force meeting the immovable object: CNRI's lawyers have carefully read the GPL and claim that CNRI's license is fully compatible with the GPL, so you can take your pick as to which lawyer you believe.

Anyway, I removed the acceptance ceremony from the 2.1 license, in the hope that this would satisfy the FSF. Unfortunately, the FSF's response to the 2.1 license (see above) seems to suggest that they have changed their position once again, and are now requesting other changes in the license. I'm very, very tired of this, so on to the next question!

Structured Design.
by Xerithane
First off, as a disclaimer I have never actually written anything in Python. But, I have read up on virtually all the introduction articles and tutorials so I have a grasp on syntax and structure.

I have been doing C development for 9 years now, and I know a plethora of other languages including shell scripting, perl, PHP (for scripts). Now, each language uses 'normal' grouping for control structures (if, for, etc).

What was the logic behind creating a whitespace-based syntax rule? And why do you feel it is good, please refrain from the readability answer because that is all I get from those people I know who know Python.

I find, because of my background, it is much easier to read code that uses braces ({}) than whitespace because my mind automatically looks for them. After maintaining legacy code that extends a life span of 20 years from it's first line of code, I have some concerns about the longevity of any Python code. So, my second question is, how well do you see Python holding up for 20 years and why do you think it will hold up that long?

Guido:
What's wrong with the legibility answer? I think that's an *excellent* reason! Don't care if your code is legible?

Don't you hate code that's not properly indented? Making it part of the syntax guarantees that all code is properly indented!

When you use braces, there are several different styles of brace placement (e.g. whether the open brace sits on the same line as the "if" or on the next, and if on the next, whether it is indented or not; ditto for the close brace). If you're used to code written in one style, it can be difficult to read code written in another. Most people, when skimming code, look for the indentation anyway. This leads to sometimes easily overlooked bugs like this one:

  if (x  10)
      x = 10;
      y = 0;

Still not convinced? In 1974, Don Knuth predicted that indentation would eventually become a viable means of structuring code, once program units were small enough. (Full quotation: http://www.amk.ca/quotations/python-quotes/page-1.html)

Still not convinced? You admit that you haven't tried it yet. Almost everybody who tries it gets used to it very quickly and end up loving the indentation feature, even those who hated it at first. There's still hope for you!

So, no, I'm not worried about Python holding out 20 more years.

What is *your* idea of Python and its future?
by Scarblac
There are a lot of "golden Python rules" or whatever you would call them, like "explicit is better than implicit", "there should be only one way to do it", that sort of thing. As far as I know, those are from old posts to the mailing list, often by Tim Peters, and they've become The Law afterwards. In the great tradition of Usenet advocacy, people who suggest things that go against these rules are criticized. But looking at Python, I see a lot more pragmatism, not rigid rules. What do you think of those "golden rules" as they're written down?

What's your idea of the future of Python? Since the PEP process, a lot of new feature ideas have been put forward, and a lot of people feel uncomfortable with quick change to a good language (Python 2.1 is again excellent though, congrats). Do you think or hope Python will be finished one day? If not, isn't the alternative an endless string of added features? "Python 3000" was an idea of a sort of ideal Python that would be worked on, but as I understand Python will now evolve more gradually.

Guido:
You're referring to the "Zen of Python", by Tim Peters: http://www.python.org/doc/Humor.html#zen

It's no coincidence that these rules are posted on the Python Humor page!

Those rules are useful when they work, but several of the rules warn against zealous application (e.g. "practicality beats purity" and and "now is better than never").

While we put "There's only one way to do it" on a T-shirt, mostly to poke fun at Larry Wall's TMTOWTDI, the actual Python Zen rule reads: "There should be one-- and preferably only one -- obvious way to do it." That has several nuances!

Regarding the future, I doubt that any piece of software ever stops evolving until it dies. It's like your brain: you never stop learning. Good software has the ability to evolve built in from the start, and evolves in a way that keeps the complexity manageable.

Python started out pretty well equipped for evolution: it was extensible at two levels (C extension modules and Python modules) that didn't require changing the language itself. We've occasionally added features to support evolution better, e.g. package namespaces make it possible to have a much large number of modules in the library, and distutils makes it easier to add third party packages.

I hear the complaints from the community about the rate of change in Python, and I'm going to be careful not to change the language too fast. The next batch of changes may well be aimed at *reducing* complexity. For example, there are PEPs proposing a simplification of Python's numeric system (like eradicating the distinction between 32/64-bit ints and bignums), and I've started to think seriously about removing the distinction between types and classes -- another simplification of the language's semantics.

Strangest use of Python
by Salamander
What use of Python have you found that surprised you the most, that gave you the strongest "I can't believe they did that" reaction?

Guido:
I find few things strange.

For the most obfuscated code I've ever come across, see the Mandelbrot set as a lambda, http://www.python.org/doc/FAQ.html#4.15.

Digital Creations has written a high-performance fully transactional replicated object database in Python. That's definitely *way* beyond what I thought Python would be good for when I started.

Some people at national physics labs like LANL and LLNL have a version of Python running on parallel supercomputers with many hundreds of processors. That's pretty awesome.

But my *favorite* use of Python is at a teaching language, to teach the principles of programming, without fuss. Think about it -- it's the next generation!

--Guido van Rossum (home page: www.python.org/~guido)