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: https://youtu.be/yCStple1-28?t=29m20s
Don't hesitate to contact us via email at email@example.com 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