Don't you use SymPy?

https://github.com/physics-codes/examples/search?utf8=%E2%9C%93&q=sympy&type=Code


On Wednesday, 15 July 2015 03:59:25 UTC+2, Anthony Scopatz wrote:
>
> 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: 
>    https://youtu.be/yCStple1-28?t=29m20s 
>    
> Don't hesitate to contact us via email at [email protected] 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
>

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