kiwitobes.com

My latest two books now available!

The first of these is Programming the Semantic Web. I wrote this with two of my coworkers, Jamie Taylor and Colin Evans. We were attempting to make the first ever practical guide to why regular programmers should pay attention to semantic technologies. After writing this book, I was so convinced myself that I’ve moved all my projects away from traditional relational databases to graph databases.

That animal on the cover is a Red Panda, also known as a Firefox. Many thanks to our editor Mary Treseler for being so awesome through the process of writing this.

The second is Beautiful Data, which is an essay collection that I co-edited with Jeff Hammerbacher and to which I also contributed. We found a group of people who we thought were doing awesome stuff with data and convinced them to write essays.

We have an awesome list of contributors: Peter Norvig, Nathan Yau, Jonathan Follett, Matt Holm, J.M. Hughes, Raghu Ramakrishnan, Brian Cooper, Utkarsh Srivastava, Jason Dykes, Jo Wood Jeff Jonas, Lisa Sokol, Jud Valeski, Alon Halevy, Jayant Madhavan, Aaron Koblin, Valdean Klump, Michal Migurski Jeff Heer, Coco Krumme, Matt Wood, Ben Blackburne, Jean-Claude Bradley, Rajarshi Guha, Andrew Lang, Pierre Lindenbaum, Cameron Neylon, Antony Williams, Egon Willighagen, Lukas Biewald, Brendan O’Connor, Hadley Wickham, Deborah Swayne, David Poole Andrew Gelman, Jonathan P. Kastellec, Yair Ghitza and Jeff and myself.

All royalties for Beautiful Data are split between the Sunlight Foundation and Creative Commons.

Julie Steele, the O’Reilly editor on this book, was so awesome at making sure everyone got their essays in and they were reviewed properly.

They’re both great books, I’m really proud of how they turned out. I’m not sure I’ll be writing again for a while though!

August 6th, 2009 | Category: Books, Data | Subscribe to comments | Leave a comment | Trackback URL

df:
August 6th, 2009 at 3:33 pm

I’m still working on collective intelligence, but congratulations and I’ll look forwarding to reading these two as well in the future

-df

Paolo:
August 7th, 2009 at 4:28 am

Programming Collective Intelligence was really inspiring! Programming the Semantic Web seems to be intriguing as well! I’ll get it as soon as I can! Thanks for the good work!

Doug:
August 7th, 2009 at 2:26 pm

Loved Programming Collective Intelligence. Just got both your new books and already are really great.

bogomil:
August 11th, 2009 at 6:39 am

great book! I love it from the very first page. Still waiting for the website to include all book-included scripts and test data.

starr:
August 14th, 2009 at 1:34 pm

А у Вас есть другие сайты?

Steve:
August 26th, 2009 at 9:26 am

Interesting to hear you’ve moving everything from a relational to a graph database. Can you provide any details on the graph databases that you’ve been using and which one’s you like best?

~ Steve

Jared Richardson:
August 26th, 2009 at 9:37 am

Congrats Toby! I saw you at #12 on Hacker News! http://news.ycombinator.com/

C. Enrique Ortiz:
August 26th, 2009 at 10:20 am

Cool. I’m too still working on “collective intelligence” — guess I can’t consume these fast enough! ha! Awesome; I will get these as well later on… cheers.

ceo

Shawn Faison:
August 26th, 2009 at 2:05 pm

Hi Kiwi,

This is written by an evangelist for your book Collective Intelligence
I recently gave a talk about your chapter on genetic algorithms at our local Perl users group.
I look forward to checking these out.

Cheers
Shawn Faison

John Herren:
August 26th, 2009 at 2:48 pm

Looking forward to getting both books. Collective Intelligence is easily my favorite programming book and I recommend it every time I get to teach about mashups.

Emil Eifrem:
August 26th, 2009 at 5:53 pm

I’m obviously biased but when it comes to graph databases, Neo4j (http://neo4j.org) is a pretty good choice. Robust, mature, fully transactional, high performance, scales to billions, bindings for Java/Ruby/[PJ]ython/Scala/Clojure, dual license open source. Feel free to check it out:

http://neo4j.org

(Disclaimer: I’m part of the team.)

-EE