[pytables-users] ANN: "Effective Computation in Physics" Released, 50% Off until Friday July 17th

[Anthony Scopatz]

Hello All!

We are ecstatic to announce the release of the first edition of *Effective
Computation in Physics - Field Guide to Research with Python*
<http://shop.oreilly.com/product/0636920033424.do>, published by O'Reilly
Media.

*You (or your students and colleagues) can even get a 50% discount if you
grab it before July 17th using the code: WKPYDP
<http://shop.oreilly.com/product/0636920033424.do?code=WKPYDP>*.

This book was heavily inspired by Software Carpentry. Though it draws on
many examples from the physical sciences, many of the topics and chapters
are broadly applicable to all of scientific computing. We hope that you'll
find it useful even if your domain is biological, chemical, or mathematical
in nature!

For more information, please check out:

- The website: http://physics.codes/
- The summary post at Software Carpentry:
http://software-carpentry.org/blog/2015/07/effective-physics-book.html
- The lightning talk announcement at SciPy 2015:

Don't hesitate to contact us via email at ***@physics.codes or on
twitter @physics_codes <https://twitter.com/physics_codes> with any
questions or concerns that you have.

Accompanying Jupyter Notebooks for all of the code in the book can be found
on GitHub at https://github.com/physics-codes/examples released under the
CC0 license.

Please remember to review the book and give feedback online once you have
finished reading it. We truly appreciate it, no matter what you say.

Sorry if you received this announcement multiple times. We promise this
will be the only time we ever send out such an announcement.

We couldn't have done it without you!
Katy Huff & Anthony Scopatz