Calibre
I've got e-books—a lot of e-books. I was one of those geeks who, when he found Projects Gutenberg and Perseus, was convinced the Rapture would happen tomorrow because life had reached its highest pinnacle on the celestial plains.
If the rapture didn't happen, nuclear war might. So I wanted to make sure I'd have all the books I could get my hands on. When Fictionwise and Tor started giving books away, I was there too. When non-DRM-encumbered books became available through Smashwords, I started picking them up as I could afford them. Ditto for Doctorow's stuff and other e-books by friends of mine—and let's not even mention the hundreds of NASA, Navy and Army manuals I use for research.
Fast-forward 13 years since discovering Project Perseus, and I have more e-books than I really know how to deal with. More than an embarrassment of riches, it was a bloody mess and high time to do something about it.
Generation one of my library organization project went the way any competent, non-database-designing sysadmin would do it: with a sensible directory structure. After many hours, I wound up with a system that was excellent for nonfiction, but crap for fiction. After all, the best you can do with a good directory tree is break out by genre, author and series. That's adequate for reference materials, but not great for the inevitable “hmmm...what do I want to read next?”
A good library needs good metadata, and directory structures have squat. E-book management software that ships with many readers attempt to do this, but they tend to have proprietary ties to devices and operating systems. They're usually not Linux-friendly, and they're also not very friendly to collection longevity. DRM? Proprietary formats? Thank you, no.
What I needed was something like iTunes or Amarok, but with a decent interface, designed for books. Fortunately, I wasn't the only person with this problem.
Enter Calibre, the Python-based, data-fetching, universally device-compatible e-book management and conversion program. The product specs are ambitious, and the implementation is, though occasionally bumpy, pretty darn spectacular.
Unlike most proprietary, device-specific management programs, Calibre converts all major formats into one another (I do not know how it handles DRM, as at the time of this writing the DMCA overthrow has just come down—happy day!—so any such features are as yet undocumented), and allows medium-grained metadata control over all of them. For fine-grained metadata control, you need more specialized tools, or you need to edit the files directly with a compatible editor. For example, Sigil does this quite splendidly for EPUB. For households with multiple species of e-readers, this is a must.
Calibre also can autopopulate your library's metadata, pulling it down from a number of different on-line databases by title, author and ISBN.
It allows rating, so you can keep track of how much you liked your book.
It has a very handsome cover art browser.
It can store Open Document Format files as e-books and create metadata for them. This gives it the nice unintended utility as a version control system for authors.
It comes with a native e-book reader that allows limited annotations and can view a number of the supported formats. For those formats that Calibre does not support reading directly, it will launch your operating system's default viewer with the click of a button.
It also nests multiple formats of the same book under the same entry in the database and directory structure, so when you convert, say, a PDF to Kindle format for your Kindle, you don't have duplicate titles popping up in your book list.
It syncs to more than 20 different makes and models of e-book reader and also allows you to access most readers (even the unsupported ones) in mass storage mode, so you're future-proofed if you change reader platforms later on.
So, what are we waiting for?
Calibre can be found at an uncommonly well-designed Web site: www.calibre-ebook.com. Click the download button, select Linux from the following screen (you'll notice that it also runs on Mac and Windows—a plus for those of us with multiplatform networks), and read the following screen first.
Calibre is picky about the dependencies; the glibc and Python versions are particularly important. Recent distributions are all in compliance, but older distros might require some updating to work properly (you also may need to compile them yourself—a fairly trivial undertaking—of course, your mileage may vary).
Assuming you're in compliance, copy the code from the code window into your root terminal (you must run the install as root; otherwise, it tends to fail with nasty comments about your intelligence, heritage and recreational proclivities), and press Enter. If all goes well, a new item should appear in your window manager's start menu. If it didn't, you most likely missed a dependency.
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Sponsored by AMD
If you already use virtualized infrastructure, you are well on your way to leveraging the power of the cloud. Virtualization offers the promise of limitless resources, but how do you manage that scalability when your DevOps team doesn’t scale? In today’s hypercompetitive markets, fast results can make a difference between leading the pack vs. obsolescence. Organizations need more benefits from cloud computing than just raw resources. They need agility, flexibility, convenience, ROI, and control.
Stackato private Platform-as-a-Service technology from ActiveState extends your private cloud infrastructure by creating a private PaaS to provide on-demand availability, flexibility, control, and ultimately, faster time-to-market for your enterprise.
Sponsored by ActiveState
| Speed Up Your Web Site with Varnish | Jun 19, 2013 |
| Non-Linux FOSS: libnotify, OS X Style | Jun 18, 2013 |
| Containers—Not Virtual Machines—Are the Future Cloud | Jun 17, 2013 |
| Lock-Free Multi-Producer Multi-Consumer Queue on Ring Buffer | Jun 12, 2013 |
| Weechat, Irssi's Little Brother | Jun 11, 2013 |
| One Tail Just Isn't Enough | Jun 07, 2013 |
- Speed Up Your Web Site with Varnish
- Containers—Not Virtual Machines—Are the Future Cloud
- Linux Systems Administrator
- Lock-Free Multi-Producer Multi-Consumer Queue on Ring Buffer
- Senior Perl Developer
- Technical Support Rep
- Non-Linux FOSS: libnotify, OS X Style
- UX Designer
- Web & UI Developer (JavaScript & j Query)
- RSS Feeds
Featured Jobs
| Linux Systems Administrator | Houston and Austin, Texas | Host Gator |
| Senior Perl Developer | Austin, Texas | Host Gator |
| Technical Support Rep | Houston and Austin, Texas | Host Gator |
| UX Designer | Austin, Texas | Host Gator |
| Web & UI Developer (JavaScript & j Query) | Austin, Texas | Host Gator |
Free Webinar: Hadoop
How to Build an Optimal Hadoop Cluster to Store and Maintain Unlimited Amounts of Data Using Microservers
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Some of key questions to be discussed are:
- What is the “typical” Hadoop cluster and what should be installed on the different machine types?
- Why should you consider the typical workload patterns when making your hardware decisions?
- Are all microservers created equal for Hadoop deployments?
- How do I plan for expansion if I require more compute, memory, storage or networking?




28 min 26 sec ago
31 min 17 sec ago
40 min 24 sec ago
1 hour 10 min ago
3 hours 36 min ago
7 hours 35 min ago
8 hours 52 min ago
12 hours 23 min ago
15 hours 16 min ago
15 hours 42 min ago