I like that you emphasized the utility for numerics, I think that this is
likely to be a selling point for the SciPy crowd.  I think that it's
correct to inform the reader about what symbolics are but I think that the
first couple of sentences (which do this) could be stronger/more direct.
 Right now they sound conversational.  It's not clear to me how to fix this
though.

Maybe start with something like "SymPy is a computer algebra system.  It
provides easy access to a wealth of automated mathematics that helps
programmers to reason about their problem producing more clear and
efficient numeric solutions."  and then go into what symbolics are?

I would cut the top bullet point, e.g.

- Why you should care about symbolic mathematics, even if you are only
interested in doing numerics.
- How symbolic mathematics can help you solve problems more effectively

I have a pretty cynical view about people when they're reading text though
(perhaps this comes from teaching freshmen :))  As a result sentences that
carry more than one idea seem dirty to me.

Hope this helps,
-Matt


On Sat, Mar 29, 2014 at 6:01 PM, Aaron Meurer <asmeu...@gmail.com> wrote:

> Here is the detailed abstract I have so far for a talk for SciPy. Any
> suggestions are welcome. The deadline is April 1 (probably 5 PM central or
> thereabouts). I roughly based it on the matplotlib talk from last year
> http://conference.scipy.org/scipy2013/presentation_detail.php?id=211.
>
> Symbolic computation deals with manipulating mathematical expression
> symbolically (as opposed to numerically). For instance, representing
> sqrt(2) without evaluating it is symbolic: representing 1.41421 is numeric.
> Most software that deals with mathematical expressions symbolically are
> called computer algebra systems, or CASs for short. SymPy is a computer
> algebra system written entirely in Python.
>
> In this talk, we will look at
>
> - Why you should care about symbolic mathematics. Even if you are only
> interested in doing numerics, how can symbolic mathematics help you to
> solve your problems more efficiently and/or effectively?
> - Some of the design decisions that have guided SymPy, such as why we
> chose Python to write SymPy, and the importance of being able to use SymPy
> as a library.
> - How to solve some basic problems in SymPy.
> - How to interface SymPy with popular numeric libraries, like NumPy.
>
> Additionally, we will look at the most interesting recent developments of
> SymPy, and will also discuss some of our plans for the future.
>
> Finally, we will discuss some of what has made SymPy a success, both as a
> software product, and as a community.
>
> Aaron Meurer
>
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