Idle Time

There are no official ebooks of SICP, but there are a few unofficial ebook conversions from the free web version. Here are the two best versions I’ve found:

• Ian Eure’s epub version, for iBooks and various other non-Kindle readers. You used to be able to download the epub directly from that repo, but GitHub has discontinued download hosting. This direct download link (thanks, Michael Tsai) should work for awhile.

  In anticipation of the GitHub download link eventually failing, I’ve made a mirror of the repository on Bitbucket, which still hosts downloads; I’ve uploaded the epub to that repo.

• There are at least a couple of Kindle versions; of which the better is Tim Camper and Jonathan Patt’s mobipocket version. The mobi file is actually versioned in the repo, so you can download it straight from there.

After downloading a bunch of free O’Reilly books on a run through the Kindle Store, I decided to see which of them were available in O’Reilly’s own store. Here’s what I found.

(Note that I have no intention of updating this list periodically, so some of these may no longer be free or available if you’re reading this some months after I compiled it.)

Publishing

• HTML5 for Publishers (Kindle)
• Publishing with iBooks Author (Kindle)
• The Global eBook market: Current Conditions and Future Projections
• Accessible EPUB 3 (Kindle)
• Breaking the Page: Preview Edition (Kindle)

“What Is”

• What Is HTML5? (Kindle)
• What Is EPUB 3? (Kindle)
• What Is Dart? (Kindle)
• What Is Node? (Kindle)

Adobe stuff

• What’s New in Flash Player 11 (Kindle)
• What’s New in Adobe AIR 3 (Kindle)

Microsoft stuff

• Introducing Microsoft SQL Server 2012 (Kindle)
• Microsoft Office 365
• Security and Privacy for Microsoft Office 2010 Users (Kindle)

“Data products” and “data science”

I have absolutely no idea what order these should be read in, or even really what they’re about.

Some of these are currently in a list of “Free Reports” along the side of O’Reilly’s “Data” category.

• Big Data Now (Kindle) (sounds like some kind of summary of the rest of these)
• What Is Data Science? (Kindle)
• The Evolution of Data Products (Kindle)
• Data for the Public Good (Kindle)
• Designing Great Data Products (Kindle)
• Building Data Science Teams (Kindle)
• Planning for Big Data (Kindle)

Assorted

• What’s New in Java 7? (Kindle)
• Building eCommerce Applications (Kindle)
• Introducing Starling (Kindle)
• Best of TOC 2012 (Kindle)

“Bibliographies”

These are basically catalogs of other (not so free) books.

• Android Development Bibliography (Kindle)
• Big Data Bibliography (Kindle)
• iOS Development Bibliography (Kindle)
• Java Bibliography (Kindle)
• JavaScript Bibliography (Kindle)
• Python Bibliography (Kindle)