http://blog.gitter.im/maths-geeks-take-note/
Jason
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Great!
This is our introduction to contributing if you haven't contributed before:
https://github.com/sympy/sympy/wiki/introduction-to-contributing
Jason
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On Mon, Oct 13, 2014 at 1:46 PM, Zach Leaman zjlea...@gmail.com wrote:
Hi Everyone,
My friend, Dan
Sunny,
Here is our introduction to contributing page on our wiki:
https://github.com/sympy/sympy/wiki/Beginner%27s-introduction-to-contributing
That should help you get started.
Jason
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On Sun, Oct 12, 2014 at 1:45 PM, Sunny Aggarwal sunnyaggarwal1...@gmail.com
Sorry I shortened the link:
https://github.com/sympy/sympy/wiki/introduction-to-contributing
Jason
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On Sun, Oct 12, 2014 at 3:35 PM, Jason Moore moorepa...@gmail.com wrote:
Sunny,
Here is our introduction to contributing page on our wiki:
https
import sympy
sympy.init_session(auto_symbols=True)
Jason
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On Thu, Oct 2, 2014 at 8:56 AM, Christophe Bal projet...@gmail.com wrote:
Hello,
is there a way to have the features given by isympy -i in IPython ?
Christoohe BAL
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You received this message
Mateusz has the correct flag.
Jason
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On Thu, Oct 2, 2014 at 9:36 AM, Jason Moore moorepa...@gmail.com wrote:
import sympy
sympy.init_session(auto_symbols=True)
Jason
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On Thu, Oct 2, 2014 at 8:56 AM, Christophe Bal projet
The issue with rebasing is that if you release code publicly, other people
can clone it, then the rebase changes the history but the history isn't
changed on everyone else's clone so things get harry. Rebasing changes the
history, so it should only be done when you are the only person who's
seen
BTW, Peter, did that kane3 test pass on your machine?
Jason
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On Fri, Sep 26, 2014 at 11:27 AM, Jason Moore moorepa...@gmail.com wrote:
It is certainly too slow to be a useful test. But that example should be
available to run at least before any SymPy release
It is certainly too slow to be a useful test. But that example should be
available to run at least before any SymPy release. We have many unit tests
in the mechanics package, but that example provides a minimal example that
exercises almost all of the functionality in the Kane class. I'd
David,
This is because it wasn't wrapping lines correctly in the generated Fortran
code. If you use the development version of SymPy it should work.
Here is the PR that fixed it: https://github.com/sympy/sympy/pull/7968
Jason
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On Thu, Sep 25, 2014 at 3:42 PM,
-9791
On Thu, Sep 25, 2014 at 4:29 PM, Jason Moore moorepa...@gmail.com wrote:
David,
This is because it wasn't wrapping lines correctly in the generated
Fortran code. If you use the development version of SymPy it should work.
Here is the PR that fixed it: https://github.com/sympy/sympy
demo.py to have ufuncify
generate code that has a single length-N array argument instead of N
separate arguments?
On Thursday, September 25, 2014 3:40:25 PM UTC-5, Jason Moore wrote:
It works for the backend='f2py' in master but fails for the default
backend which is 'numpy'. I get a segmentation
to convert my demo.py to have ufuncify
generate code that has a single length-N array argument instead of N
separate arguments?
On Thursday, September 25, 2014 3:40:25 PM UTC-5, Jason Moore wrote:
It works for the backend='f2py' in master but fails for the default
backend which is 'numpy'. I
parameters. These small summand
functions are composed of basic operations like multiplication, addition,
and exp().
On Thursday, September 25, 2014 4:21:32 PM UTC-5, Jason Moore wrote:
I see. What does your function look like? Does it have summations or
things you want to iterate over
it (for example by using an
alternative loss function or regularization penalty function), then you
kind of need to roll out your own implementation.
From what you are saying, it sounds like sympy is not well-suited for this
type of task.
On Thursday, September 25, 2014 5:31:27 PM UTC-5, Jason Moore
Jim's slides on SymPy code gen got into the Python weekly.
Jason
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-- Forwarded message --
From: Python Weekly ra...@pythonweekly.com
Date: Thu, Sep 18, 2014 at 11:06 AM
Subject: Python Weekly - Issue 157
To: moorepa...@gmail.com
Email not
Is A dense or sparse?
Solving a linear system of 100 equations and 100 unknowns is not something
that symbolic solvers are generally good at. For example, I don't think you
aren't guaranteed to have good numerical conditioning for the expressions
for x. Is it required that you have symbolic
The matrix solvers are not implemented with parallel algorithms.
Jason
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On Fri, Sep 5, 2014 at 12:28 PM, Andrea Fresu andreafres...@gmail.com
wrote:
A is dense and symbolic expressions are required for the values of x.
No way..
However what about that only
This is typical behavior. Solving a 9 x 9 linear system will result in long
expressions. If you want to print them it will take time to parse the tree
because the expression is huge. Also, running the simplication routines on
very large expressions will also take a long time and may never even
a keyword to mark arguments to indicate that they
won't be aliased, but that requires that the code generator and the
compiler support them.
Cheers,
Tim.
On 2014-08-28, at 2:17 PM, Jason Moore moore...@gmail.com wrote:
Jim and others,
Here are the benchmarks I made yesterday:
http
Here is some work on the pow issue: https://github.com/sympy/sympy/pull/7519
Looks like it was merged so the ccode printer should print x*x*x... for
less that 10 x's.
Jason
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On Fri, Aug 29, 2014 at 7:33 AM, Jason Moore moorepa...@gmail.com wrote:
Jason
Sorry, it wasn't merged. He found that the --fast-math flag in the complier
takes care of this.
Jason
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On Fri, Aug 29, 2014 at 10:37 AM, Jason Moore moorepa...@gmail.com wrote:
Here is some work on the pow issue:
https://github.com/sympy/sympy/pull/7519
was
a small improvement, but it was still slower than the pure numpy-python
version. Something to look into.
On Wed, Aug 27, 2014 at 10:28 PM, Jason Moore moorepa...@gmail.com
wrote:
Yeh, but if you simply create a ufunc for each expression in a matrix you
still get substantial speedups. I wrote
Awesome. I was working on this today but it looks like you've by passed
what I had working. Do you have a PR with this?
Jason
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On Wed, Aug 27, 2014 at 11:11 PM, Matthew Rocklin mrock...@gmail.com
wrote:
Cool
On Wed, Aug 27, 2014 at 8:07 PM, James Crist
wrote it this morning during an extremely boring meeting, and
haven't had a chance to clean it up. This doesn't solve your problem about
broadcasting a matrix calculation though...
On Wed, Aug 27, 2014 at 10:23 PM, Jason Moore moorepa...@gmail.com
wrote:
Awesome. I was working on this today
Maybe you need to override this function:
https://github.com/sympy/sympy/blob/master/sympy/interactive/printing.py#L90
Notice how some odd classes that don't fit the sympy standards have special
cases. Try adding your class to that list and see if it works.
Jason
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+01
Vaibhav,
Welcome. If you search the archive of the sympy email list for this same
question you'll find lots of answers to get you started.
https://groups.google.com/forum/#!forum/sympy
Jason
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On Tue, Aug 26, 2014 at 12:15 PM, vaibhav kumar
Alan,
We wrapped the init_printing function in the sympy.physics.vector package.
So you can call sympy.physics.vector.init_vprinting() to turn our our
custom printers.
See
https://github.com/sympy/sympy/blob/master/sympy/physics/vector/printing.py#L377
Jason
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time i
am attempting to join an organisation.
I need help
On Thursday, July 31, 2014 2:00:15 AM UTC+5:30, Jason Moore wrote:
1. Go through the dev workflow page: https://github.com/sympy/
sympy/wiki/Development-workflow and setup your development environment
(git, github, python, etc).
2
) - diff(L,x)
Out[1]:
gm+mx¨
On Wednesday, August 13, 2014 10:24:47 PM UTC-7, Jason Moore wrote:
Oh, you should use
sympy.physics.vector.init_printing()
If you want the dot notation in latex in your notebooks.
Jason
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On Wed, Aug 13, 2014 at 10:23 PM
You can subclass a printer and have it do what you want. You can see here:
https://github.com/sympy/sympy/blob/master/sympy/physics/vector/printing.py#L145
where we subclass the latex printer and get the \dot{} notation for
derivatives, for example. There is also an example here:
Oh, you should use
sympy.physics.vector.init_printing()
If you want the dot notation in latex in your notebooks.
Jason
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On Wed, Aug 13, 2014 at 10:23 PM, Jason Moore moorepa...@gmail.com wrote:
You can subclass a printer and have it do what you want. You can
Thomas,
Sachin just submitted a Cartesian based vector calc package to sympy for
this summer's GSoC:
https://github.com/sympy/sympy/tree/master/sympy/vector
The new documentation for this should be available this week.
Adding new CoordinateSystems like Spherical, etc should be relatively
Yes, the Theano bridge solves this problem in some sense, except that
Theano is weak in speeding up the long scalar expression computations.
Jason
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On Tue, Aug 5, 2014 at 7:48 AM, Matthew Rocklin mrock...@gmail.com wrote:
@Matthew:
Thanks, I think a lot of
Jason
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On Mon, Aug 4, 2014 at 3:27 PM, James Crist crist...@umn.edu wrote:
I'm working on adding support ofr codegeneration with Matrix objects.
Currently an `indexed` type is supported that results in low-level
contiguous arrays. These are always converted
The wiki is just a git repo. You can clone it locally and push to it.
Jason
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On Fri, Aug 1, 2014 at 3:18 PM, Tim Lahey tim.la...@gmail.com wrote:
Is there another way to update the Wiki pages other than the web editor?
It seems a bit tedious to update each
1. Go through the dev workflow page:
https://github.com/sympy/sympy/wiki/Development-workflow and setup your
development environment (git, github, python, etc).
2. Browse through the easy to fix issues:
https://github.com/sympy/sympy/issues?q=is%3Aopen+is%3Aissue+label%3A%22Easy+to+Fix%22
and see
It has the correct answer on SO.
Jason
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On Mon, Jul 28, 2014 at 7:06 PM, Sudhanshu Mishra mrsu...@gmail.com wrote:
This question was asked on the stackoverflow.
http://stackoverflow.com/questions/25006834/missing-functions-in-sympy-physics-vector
--
You
Jim,
You can use SymPy's arbitrary precision methods to evaluate the
expressions but they will be very slow which is only useful for tiny
toy problems. Lambdify and the codegen stuff simply write code that
evaluates the expressions to floating point precision. Ondrej
mentioned that this code be
One good way to start is to do the tutorial:
http://docs.sympy.org/latest/tutorial/index.html (video version:
https://www.youtube.com/watch?v=Lgp442bibDM). The advanced sections
will give some idea of how expressions are stored in trees and such.
Next, go through the dev environment setup:
to merge.
Jason
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On Wed, Jul 9, 2014 at 11:52 AM, Frédéric Bastien no...@nouiz.org wrote:
On Wed, Jul 9, 2014 at 12:21 PM, Jason Moore moorepa...@gmail.com wrote:
[...]
Alot of this functionality exists in SymPy. Read the code printers,
the code gen
try to go next year.
Thanks!
-Jim
On Wed, Jul 9, 2014 at 10:34 AM, Jason Moore moorepa...@gmail.com wrote:
Jim,
I was just talking with Matthew Rocklin about this. I think we can
update the C code and Fortran code printers to deal with Inverse(). If
we support dgesv (general linear
The code for displaying lists and tuples of sympy objects is here:
https://github.com/sympy/sympy/blob/master/sympy/interactive/printing.py
You should just be able to do something like:
x = symbols('x')
[x, x, x]
and it should render correctly.
Jason
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On Tue,
Sorry, the tuple and list code is here:
https://github.com/sympy/sympy/blob/master/sympy/printing/latex.py#L1318
Jason
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On Tue, Jul 8, 2014 at 8:52 PM, Jason Moore moorepa...@gmail.com wrote:
The code for displaying lists and tuples of sympy objects is here
...@verizon.net
wrote:
On 07/08/2014 09:55 PM, Jason Moore wrote:
Sorry, the tuple and list code is
here:https://github.com/sympy/sympy/blob/master/sympy/printing/latex.py#L1318
Jasonmoorepants.info
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On Tue, Jul 8, 2014 at 8:52 PM, Jason Moore moorepa...@gmail.com
moorepa
I typically use `ipython --pdb` then import and run the specific test
in the interpreter.
Jason
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On Tue, Jul 8, 2014 at 9:04 PM, Tim Lahey tim.la...@gmail.com wrote:
Hi,
Is there an easy way to run a test and trace the execution in PDB? There's a
test that
Yeah, it looks good. I've totally been needing this for some work I'm doing
too. The fact that mechanics expressions are a small subset of sympy
expressions is a good reason to optimize stuff like this.
In the docstring 3.) trig_funcs aren't the only type of functions. I think
you will need to
that? Or would the limit as a goes to zero be the only way to
get the correct answer?
Jason
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On Thu, Jul 3, 2014 at 9:00 AM, Jason Moore moorepa...@gmail.com wrote:
Yeah, it looks good. I've totally been needing this for some work I'm doing
too. The fact that mechanics
so that they
avoid expressions like that. An idea for this particular case is to
never use tan, only sin/cos. I don't know if that generalizes, though.
Aaron Meurer
On Thu, Jul 3, 2014 at 8:05 AM, Jason Moore moorepa...@gmail.com wrote:
Also,
sin(a)/tan(a).subs(a, 0)
nan
simplify(sin
Wikipedia lets the user select the math renderer, but you have to have a
wikipedia account. I suspect we could have a little JS button on every
sympy page that let you toggle one or the other with the default as png for
fast load times. But that of course takes more work.
Jason
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Jason
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On Wed, May 28, 2014 at 12:06 PM, James Crist crist...@umn.edu wrote:
I'm working on methods to linearize the equations of motion (EOM)
generated in sympy.physics.mechanics. The goal is to have a function
`linearize` that can take in a `KanesMethod`,
I've been using digg.com/reader
Jason
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On Wed, May 21, 2014 at 3:52 PM, Aaron Meurer asmeu...@gmail.com wrote:
Anyone know an easy way to go from Planet - Twitter bot? That would
make it easier at least for me to follow it.
Aaron Meurer
On Wed, May 21,
I just noticed this feature:
http://docs.travis-ci.com/user/how-to-skip-a-build/
We could start promoting use of this in WIP PRs and any other commit that
don't need to run. It could potentially speed up the testing queue
significantly.
Jason
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--
You received
This shows sympy running on SailfishOS under IPython.
Jason
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-- Forwarded message --
From: Roberto Colistete Jr. roberto.colist...@gmail.com
Date: Tue, May 6, 2014 at 1:24 AM
Subject: [IPython-dev] IPython (terminal Notebook) 2.0.0 on Sailfish OS
Hi Aaron,
The PyDy tutorial was accepted too. I'm figuring out my schedule but pretty
sure I'm going to come down to Austin. I've signed up for way too many
conferences this summer though, so I'm a little on the edge and need to
confirm with my boss that he's cool with it. So, if I come, I can
Do you use scipy.sparse? I has sparse solvers that should able to compute
L.inv()*R efficiently and then supports addition, multiplication and
squaring. Why do you get crappy eigenvalues when doing this numerically?
Secondly, shouldn't you use
Does this work for you?
from __future__ import division
import numpy as np
from scipy.sparse import csr_matrix
from scipy.sparse.linalg import spsolve
def get_matrix(filename):
d = np.zeros(238)
row = np.zeros(238)
col = np.zeros(238)
with open(filename,'r') as f:
for k,
:
Jason,
The problem was indeed that 't' was not available as a variable for
odeint.
Thanks a lot!
Op dinsdag 22 april 2014 21:38:06 UTC+2 schreef Jason Moore:
Kevin,
Here is another example of doing that:
https://github.com/pydy/pydy#usage-1
Jason
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Yeah, all I'm planning to do on that PR is to make a hack that inserts
csympy data types into the core mechanics objects (Vectors, Dyadics, etc).
The nice thing about the vector and mechanics module is that we only use
symbols, functions, differentiation, addition, multiplication, basic trig
Kevin,
You are correct, you should include the force, sin(b*t), in the force list.
Then KanesMethod, for example will give you:
Mx' = f(x, t)
The force, sin(b*t), will be explicitly in the f(x, t) portion. You can
then think of it as:
Mx' = f_(x) + u(t)
where u(t) = sin(b * t)
Then when you
Sahil,
Web based plotting is something that many people desire and are working on
at the moment. One or more of the existing projects (or a new one) are
going to be the next generation plotting that everyone uses. SymPy, on the
other hand, doesn't really need to compete in this plotting race, we
. Is
it fixed? I can try and solve it!
On Tuesday, March 18, 2014 10:38:04 PM UTC+5:30, Jason Moore wrote:
Also, note that even though WebGL is supported in most of the latest
browser versions, this will not work with a lot of peoples systems. We've
had tons of trouble getting the visualizations
Kevin,
Here is another example of doing that:
https://github.com/pydy/pydy#usage-1
Jason
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On Tue, Apr 22, 2014 at 8:00 AM, Jason Moore moorepa...@gmail.com wrote:
Kevin,
You are correct, you should include the force, sin(b*t), in the force
list
If you have a server, you can simply install SymPy as a system wide install
so that all users logged into the server have access to the program. How
would you not have access to a command prompt on a shared server? Even if
you can't open a terminal then I suppose you can open a program like IDLE
and they have restricted
access to the phyton command prompt access
On Monday, April 21, 2014 3:11:48 AM UTC+5:30, Jason Moore wrote:
If you have a server, you can simply install SymPy as a system wide
install so that all users logged into the server have access to the
program. How would you not have
and I can upload .py files to this server so that
it executes and give the output. I do not have shell access.
On Monday, April 21, 2014 3:27:59 AM UTC+5:30, Jason Moore wrote:
What operating system is it and do you have shell access, GUI access, or
both?
How do you interact with Python
Sphinx allows you to introduce jinja templates to override their defaults.
I think all you have to do is copy the correct template that Sphinx is
already using, modify it to your liking, and drop it in the _templates
directory:
http://sphinx-doc.org/templating.html
Jason
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+01
could use the patch from a current version of sympy when building
previous doc versions?
Jason
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On Wed, Apr 16, 2014 at 8:17 AM, Jason Moore moorepa...@gmail.com wrote:
Sphinx allows you to introduce jinja templates to override their defaults.
I think all you
I guess this doesn't matter. We will just have to generate the old docs
with the new warning manually for each release.
Jason
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On Wed, Apr 16, 2014 at 8:43 AM, Jason Moore moorepa...@gmail.com wrote:
I started implementing something for this, but I don't know
It should be fairly easy to have an if statement in the jinja templates
that shows a warning and link to the newer docs only if the docs aren't the
latest. I think we should leave old docs available and just add the
warning. readthedocs does this automatically for you, I believe.
Jason
Hi Richard,
I don't think SymPy has tested with IPython 2.0 yet. It is possible that
the printing is no broken... It should display in mathjax/latex by default
in the notebook and pretty print in the terminal.
If you don't mind please submit an issue on github to the main sympy
repository.
, Jason Moore moorepa...@gmail.com wrote:
Hi Richard,
I don't think SymPy has tested with IPython 2.0 yet. It is possible that
the printing is no broken... It should display in mathjax/latex by default
in the notebook and pretty print in the terminal.
If you don't mind please submit an issue
This is very relevant to the discussions of having 3D plotting in SymPy
with three.js.
Jason
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-- Forwarded message --
From: Jason Grout jason-s...@creativetrax.com
Date: Thu, Apr 3, 2014 at 12:40 PM
Subject: Re: [IPython-dev] Interactive
Is it possible to move the main repository for mutlipledispatch under the
sympy github org and grant the core sympy devs commit rights?
Jason
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On Wed, Apr 2, 2014 at 4:22 AM, Joachim Durchholz j...@durchholz.org wrote:
Am 02.04.2014 04:10, schrieb Matthew
Hi Richard,
What is the big picture of what you want to do? And if you post your code
it is easier for us to understand the details and we can help you.
sympy.physics.vector.Vector unfortunately and/or fortunately does not
subclass from basic SymPy types. The reason is that the current vectors
Also, this might help:
http://docs.sympy.org/latest/guide.html#sympy-s-architecture
Jason
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On Sun, Mar 30, 2014 at 8:21 AM, Jason Moore moorepa...@gmail.com wrote:
Hi Richard,
What is the big picture of what you want to do? And if you post your code
Some classes like Matrices create new MatAdd, MatMul classes for specialty
operations. The new vector class we will hopefully implement soon will also
follow this pattern.
I'd say the best way to see what to do is probably reading the SymPy source
code. For example, on
Yes, applause! Thanks for doing this.
Jason
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On Thu, Mar 20, 2014 at 6:23 PM, Ondřej Čertík ondrej.cer...@gmail.comwrote:
I totally missed this, this is absolutely fantastic! Thanks a lot
Sergey and Aaron for all the work. That helps a lot.
Ondrej
On Fri,
Several PyDy folks will be there. We will sprint on the 14th and on the
tutorial days.
Let's connect if you are there.
Jason
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You received this message because you are subscribed to the Google Groups
sympy group.
To unsubscribe from this group and stop
if there is any way it can be used from RhinoPython.
Any idea in this regard will be appreciated!
LL
On Monday, March 24, 2014 3:59:07 PM UTC+1, Jason Moore wrote:
What is RhinoPython?
Jason
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On Mon, Mar 24, 2014 at 5:59 AM, LLuis Enrique lluis.enr
What is RhinoPython?
Jason
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On Mon, Mar 24, 2014 at 5:59 AM, LLuis Enrique
lluis.enrique.mo...@gmail.com wrote:
Hi all!
I would like to know if it is possible to access the SymPy library from
RhinoPython.
Best Regards,
LL
--
You received this
Some press in Python Weekly!
Jason
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-- Forwarded message --
From: Python Weekly ra...@pythonweekly.com
Date: Thu, Mar 20, 2014 at 11:04 AM
Subject: Python Weekly - Issue 131
To: moorepa...@gmail.com
Email not displaying correctly? View it
Is there any reason not to use MathBox.js? Seems like you'll have to write
very similar code to what is already implemented there.
Jason
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On Wed, Mar 19, 2014 at 9:07 PM, SAHIL SHEKHAWAT sahilshekhawa...@gmail.com
wrote:
Aaron,
But i have proposed something
There are a lot people working on plotting in the browser, many of them
tied to python execution. There probably isn't much reason to reinvent the
wheel here. This is another more simple project that implements a d3.js
backend for matplotlib: mpld3.github.io . Also there matplotlib has a
webagg
Correction: My hunch is that 99% of sympy use is local, ...
Jason
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On Tue, Mar 18, 2014 at 10:25 AM, Jason Moore moorepa...@gmail.com wrote:
My suggestion on melange was just to mention that if you only focus on 3D
plotting for SymPy Gamma then we are missing
something.
On Tue, Mar 18, 2014 at 6:32 PM, SAHIL SHEKHAWAT
sahilshekhawa...@gmail.com wrote:
So, how can i improve sympy then?
I mean you said that we want 3D plotting for SymPy as a whole. so , how
can i improve that?
On Tue, Mar 18, 2014 at 6:17 PM, Jason Moore moorepa...@gmail.comwrote
at 10:32 AM, SAHIL SHEKHAWAT
sahilshekhawa...@gmail.com wrote:
But we do support 3D plotting by matplotlib and also you mentioned that a
lot of people are working on making it browser compatible.
Sorry if i am irritating but i just want to clarify.
On Tue, Mar 18, 2014 at 7:55 PM, Jason Moore
On Tue, Mar 18, 2014 at 10:57 AM, Jason Moore moorepa...@gmail.com wrote:
If we already use matplotlib for 3D plotting, then a long term solution to
this is to add three.js to the web backend of any one of the new plotting
libraries that are popping up (bokeh, mpld3, matplotlib's webagg backend
, 2014 at 8:28 PM, Jason Moore moorepa...@gmail.com wrote:
But even if you implement something with Mathbox.js then it would be nice
if users can use it locally or through Live/Gamma. That is the approach
with took with pydy-viz. Right now we can run them locally and if you want
embed
, 2014 at 8:52 PM, Jason Moore moore...@gmail.com
wrote:
https://github.com/pydy/pydy-viz
We basically generate data on the python side, then write a json file
to
disk, then we have a generic html/js/css template that uses three.js
to load
in all the data from the json file and create
uses it as a fallback option if there is no WebGL.
On Tue, Mar 18, 2014 at 10:38 PM, Jason Moore moorepa...@gmail.comwrote:
Also, note that even though WebGL is supported in most of the latest
browser versions, this will not work with a lot of peoples systems. We've
had tons of trouble
I'm still digesting what Matthew and Max wrote. Lots of new words for me :)
But here is a simple example taken from C code we generate for a simple 2
link pendulum.
First the C code with SymPy's CSE expressions automatically generated:
#include math.h
#include multibody_system_c.h
void
-and-main-memory
On Mon, Mar 17, 2014 at 10:21 AM, Jason Moore moorepa...@gmail.comwrote:
I'm still digesting what Matthew and Max wrote. Lots of new words for me
:) But here is a simple example taken from C code we generate for a simple
2 link pendulum.
First the C code with SymPy's CSE
Overflow or the
Computational Science SE [2] might be able to help.
Hopefully someone else on this list can help with DAGs and SymPy.
Max
[1] http://www.top500.org/project/linpack/
[2] http://scicomp.stackexchange.com/
On Mon, Mar 17, 2014 at 11:13 AM, Jason Moore moorepa
James has submitted this nice PR into the pydy examples repo:
http://nbviewer.ipython.org/github/jcrist/pydy_examples/blob/master/differential_drive/Differential%20Drive.ipynb?create=1
Comments can be made here:
https://github.com/pydy/pydy_examples/pull/18
It shows how to model a three
consider
common sub-expressions then repeated branches of these trees get merged.
The result is a DAG.
On Mon, Mar 17, 2014 at 9:42 AM, Jason Moore moorepa...@gmail.comwrote:
Thanks Max. I'll look into the FLOP counting as you suggest.
Matthew has created visual DAG's before, I'm just
this give 17k. In the same ball park for
this estimation:)
Can you just run this function on many inputs in parallel? It would be
easier to parallelize an outer loop then this.
Fred
On Mon, Mar 17, 2014 at 11:21 AM, Jason Moore moorepa...@gmail.com
wrote:
I'm still digesting what Matthew
=aa5f7955d910961c374bbda6868a
).
http://pastie.org/private/woqxo2cqgt8c7qdicyxr9q
W dniu wtorek, 11 marca 2014 21:54:41 UTC+1 użytkownik Jason Moore napisał:
Maciej,
Can you provide us with some example SymPy code demonstrating how you
want the control tool box to work?
Jason
In the mechanics package we generate very long mathematical expressions
which we then want to evaluate numerically as fast as possible. To do this,
we generate code in a low level language and typically use common
subexpression elimination as a pre-compile optimization step*. I'm
wondering if
a list or task ready to run and the openmp back-end will run it.
each task could just add more tasks to that list when it finished.
Fred
On Sun, Mar 16, 2014 at 9:30 PM, Jason Moore moorepa...@gmail.com wrote:
In the mechanics package we generate very long mathematical expressions
which we
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