assumption
>> mechanism" doc https://docs.sympy.org/latest/guides/assumptions.html and it
>> seems that the assumption I need (b>-1) cannot be implemented. Indeed the
>> doc says "At the time of writing (SymPy 1.7)", but I guess it's still valid
>> in 2
ssumption
> mechanism" doc https://docs.sympy.org/latest/guides/assumptions.html and
> it seems that the assumption I need (b>-1) cannot be implemented. Indeed
> the doc says "At the time of writing (SymPy 1.7)", but I guess it's still
> valid in 2024, correct
org/latest/guides/assumptions.html and it
seems that the assumption I need (b>-1) cannot be implemented. Indeed the
doc says "At the time of writing (SymPy 1.7)", but I guess it's still valid
in 2024, correct?
Pierre
Le samedi 27 juillet 2024 à 16:12:34 UTC+2, Oscar a écr
It is a classic question about SymPy. By default SymPy assumes that
all symbols represent arbitrary complex numbers. For the most part
only simplifications that are compatible with any complex numbers will
be applied either automatically or by explicit simplification
functions such as powsimp
If you declare a to be positive, it simplifies with me.
From: sympy@googlegroups.com On Behalf Of Pierre H
Sent: Saturday, July 27, 2024 2:38 PM
To: sympy
Subject: [sympy] Simplification of a^x * (1/a)^x: not equal to 1?
Hello,
This is perhaps a classical question, but since I'm only
Hello,
This is perhaps a classical question, but since I'm only using SymPy every
now and then...
I wonder why the expression a^x * (1/a)^x doesn't simplify to 1. See code
(with SymPy 1.12)
a,x = symbols('a x')
simplify(a**x * (1/a)**x)
(then of course the variant a**x * (1/(a**x)) does
topologies would be
computationally useful?
Oscar
On Sat, 27 Jul 2024 at 10:20, Robert Simione
wrote:
>
> Hello all,
> I was reading the Sympy documentation on Sets which is under the Logic
> section of the documentation, but a LOT the properties discussed like
> boundaries and cl
Hello all,
I was reading the Sympy documentation on Sets
<https://docs.sympy.org/latest/modules/sets.html> which is under the Logic
section of the documentation, but a LOT the properties discussed like
boundaries and closures are only definable when there is a topology
defined. It's
It looks like they aren't run on the run that runs on every pull
request
https://github.com/sympy/sympy/blob/958cc95aebc35ced70d870586e68d0468684c1a0/asv.conf.actions.json#L67
There are some separate asv.conf.slow.json configurations in the
benchmarks repo for people who want to run the slow
I was recently checking https://github.com/sympy/sympy_benchmarks and had
some questions:
1. Are slow_benchmarks are also run by asv?
2. If yes, why it's in a seperate folder?
3. If No, why it's there?
On Tuesday, July 16, 2024 at 12:00:44 AM UTC+5:30 asme...@gmail.com wrote:
> Look
Just so we are clear, I am opposed to using AI to automatically open
pull requests in this way, and I would ask that people please don't do
this in the SymPy repository.
I think that AI tools can be useful to help find and fix bugs, and if
that can be streamlined more, for instance, by making
I notice a PR created today that is suspected to be generated by LLM (sorry
if it is false accusation)
Title: Fix is_zero Attribute Handling in Expression SimplificationDes… by
Devansh-46 · Pull Request #26850 · sympy/sympy (github.com)
<https://github.com/sympy/sympy/pull/26850>
H
; Dear Peter
> I can provide this example:¨
>
> >>> from sympy import *
> >>> from sympy.abc import x, a, b, R, w, U, t, p
> >>> print(solve(R*a/x**2 + b*w**2*R + I*(R*b*w - R*a/x) - a**2*U*exp(I*(p
> [{R: U*a**2*x**2*exp(I*p)/(-I*a*x + a + b*w**2*x*
Dear Peter
I can provide this example:¨
>>> from sympy import *
>>> from sympy.abc import x, a, b, R, w, U, t, p
>>> print(solve(R*a/x**2 + b*w**2*R + I*(R*b*w - R*a/x) - a**2*U*exp(I*(p
[{R: U*a**2*x**2*exp(I*p)/(-I*a*x + a + b*w**2*x**2 + I*b*w*x**2)}]
>&g
I am pleased to announce Algebra_with_Sympy release 1.1.0. This is
recommended for all users. The key changes are:
- Setting integers as exact (set_integers_as_exact(), the default) now
only sets integers as exact within Sympy and Algebra_with_Sympy
expressions. This increases
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What means an "R" in front of a "result* , which is not really a result,
because it contains still the variable x ???
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Thanks. This is a bug so best to open a GitHub issue:
https://github.com/sympy/sympy/issues
If you use rational numbers rather than floats it gives the correct answer:
In [9]: print(dsolve(nsimplify(ode), y))
Eq(y(x), (C1 + C2*x)*exp(-x/2))
In [10]: print(dsolve(ode, y))
Eq(y(x), (C1*sin
got wrong answer for this ODE y''+y'+0.25y=0, Out put attached. Correct
answer is (c_1+c_2*x)e^{-0.5x}. thank you
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Hi all,
I've just pushed SymPy 1.13.1 to PyPI. This has a few bugfixes for
regressions reported in 1.13.0. The release notes are here:
https://github.com/sympy/sympy/wiki/Release-Notes-for-1.13.1
If using pip then you can upgrade with pip install -U sympy. The conda
package will I assume
to be recompiled every time in order to install it
into the virtual environment, that could be a factor (SymPy is pure
Python, so installation time is not an issue). If this is an issue you
might consider caching nightly wheels for recent commits somewhere.
Aaron Meurer
On Mon, Jul 15, 2024 at 1:14
it). I was wondering how
sympy does it?
I checked the benchmark actions of sympy and was pretty surprised to see
that it only takes 20 mins to run the whole benchmark.
Thank you
Asish Kumar
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I suggest contributing guide
<https://docs.sympy.org/dev/contributing/index.html> , setup the repository
locally and start learning a bit about sympy and look at its issues on
github.
Thanks,
Shishir Kushwaha
On Tuesday 9 July 2024 at 09:29:20 UTC+5:30
f202...@hyderabad.bits-pilani
).removeO().as_poly(x).all_coeffs()[::-1]
Out[7]: [0, 1, 0, -1/6, 0, 1/120, 0, -1/5040, 0, 1/362880]
--
Oscar
On Tue, 9 Jul 2024 at 10:41, emanuel.c...@gmail.com
wrote:
>
> Doesn't matter :
>
> ```
> >>> from sympy import *
> >>> x=symbols("x")
> &g
How do I detect which order of x?
On Tuesday, July 9, 2024 at 5:41:50 AM UTC-4 emanuel.c...@gmail.com wrote:
> Doesn't matter :
>
> ```
> >>> from sympy import *
> >>> x=symbols("x")
> >>> sin(x).series(x,0,10).args
&g
Doesn't matter :
```
>>> from sympy import *
>>> x=symbols("x")
>>> sin(x).series(x,0,10).args
(x, -x**3/6, -x**7/5040, x**5/120, x**9/362880, O(x**10))
```
The arguments tuple doesn't order `x` powers (and this isn't a problem,
since (complex) multiplicati
Hi, I am a new user of SymPy. I wonder if the following result is a bug?
Anyway, the following code is a nuance. I am using the latest SymPy
class TestSymPy (unittest.TestCase):
def testSin(self):
'''
The expansion is not ordered by x**n: x**7 before x**5
or policies of BITS Pilani.
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Hi all,
I've just pushed the final release of SymPy 1.13.0 to PyPI:
https://pypi.org/project/sympy/
You can upgrade to 1.13.0 by running:
pip install -U sympy
I expect that the release will be available in conda soon as well. The
release files are also available from GitHub:
https
Dear all,
The last 2 months I have been busy researching the Method of Macaulay and
implementing this method in the beam module of SymPy. I am a Civil
Engineering student at the TU Delft and did this project as my bachelor
thesis. The report can be found
here:
https://repository.tudelft.nl
Announcing bugfix release v.1.0.2 for Algebra with Sympy
<https://gutow.github.io/Algebra_with_Sympy/algebra_with_sympy.html>. This
one solves some display issue problems specific to Google Colab. If you use
Colab you should update.
On Wednesday, January 3, 2024 at 12:57:20 PM UTC-
Hi Maaz,
This sounds like an excellent addition to SymPy.
There was also a recent GitHub issue that discussed a more limited form of
CAD:
https://github.com/sympy/sympy/issues/26177
The implementations there are based on this paper by Strzebonski:
https://core.ac.uk/download/pdf/82649664.pdf
On Tue, Jul 2, 2024 at 4:22 PM Maaz Muhammad wrote:
> Hi all! I'm a PhD student at the University of Toronto, working on
> polynomials (optimization, algorithms, and applications).
>
> As part of my work, I needed to solve systems of polynomials (inequalities
> and equalitie
Hi all! I'm a PhD student at the University of Toronto, working on
polynomials (optimization, algorithms, and applications).
As part of my work, I needed to solve systems of polynomials (inequalities
and equalities), which SymPy currently lacks. I have therefore been working
on such a solver
3. Unless the SYMPY_GROUND_TYPES=flint variable is set in which case
> > > > use python-flint regardless of the version.
> > > > 4. Keep future versions of python-flint compatible with SymPy 1.13
> > > > until python-flint 1.0.
> > > > 5. Once Sym
thon-flint >= 0.6.0, < 1.0 automatically.
> > > 2. Don't use python-flint < 0.5.0 or >= 1.0 and don't give any warning
> > > about it.
> > > 3. Unless the SYMPY_GROUND_TYPES=flint variable is set in which case
> > > use python-flint regardless of the ve
On Tue, 2 Jul 2024 at 12:09, Oscar Benjamin wrote:
>
> If sympy uses python-flint 0.n to say 0.n+3 then python-flint can test
> older versions of sympy for as long as they are "supported" and sympy
> can just not use newer versions. Then we can say that sympy now
> accep
1.0 and don't give any warning
> > about it.
> > 3. Unless the SYMPY_GROUND_TYPES=flint variable is set in which case
> > use python-flint regardless of the version.
> > 4. Keep future versions of python-flint compatible with SymPy 1.13
> > until python-flint 1.0.
&g
On Mon, Jul 1, 2024 at 4:38 AM Oscar Benjamin
wrote:
>
> Hi all,
>
> Some issues were reported with the SymPy 1.13.0rc1 release candidate.
> Since then I pushed 1.13.0rc2 and 1.13.0rc3 and I'm about to push
> 1.13.0rc4. Thanks to everyone who tested the release candidate
Hi all,
Some issues were reported with the SymPy 1.13.0rc1 release candidate.
Since then I pushed 1.13.0rc2 and 1.13.0rc3 and I'm about to push
1.13.0rc4. Thanks to everyone who tested the release candidate and
reported any problems.
I think this is a list of issues and PRs that have been
ity of Helsinki, so it goes without saying that I share your
> sadness and all the positive thoughts about him I find on the SymPy pages.
>
>
> Kalevi became a member of the Finnish Academy of Science and Letters at
> the tender age of 33 years, and therefore the Academy will publish a
about him I find on the SymPy pages.
Kalevi became a member of the Finnish Academy of Science and Letters at the
tender age of 33 years, and therefore the Academy will publish an obituary
in due time, both in Finnish and in English. Most likely we have to wait
for that until next year
Oscar
>
> On Wed, 19 Jun 2024 at 13:35, Anton Akhmerov
> wrote:
> >
> > Thank you Oscar for taking action. Does that mean that sympy can endorse
> spec-0? Or that will it do so starting from some version?
> >
> > Anton
> >
> > On Wednesday 5 June 2024
Hi Anton,
I was hoping that others might express their opinions about this.
SPEC 0 seems fine to me.
Oscar
On Wed, 19 Jun 2024 at 13:35, Anton Akhmerov wrote:
>
> Thank you Oscar for taking action. Does that mean that sympy can endorse
> spec-0? Or that will it do so starting
Thank you Oscar for taking action. Does that mean that sympy can endorse
spec-0? Or that will it do so starting from some version?
Anton
On Wednesday 5 June 2024 at 21:13:21 UTC+2 Oscar wrote:
> On Tue, 4 Jun 2024 at 21:10, Oscar Benjamin wrote:
> >
> > Personally I am in
:
return S.Zero
return Expr.__new__(cls, m, n, l)
Note that you need to manually handle making sure inputs and outputs
are SymPy types. I would suggest looking at the source code for
Integral.__new__ and ExprWithLimits.__new__.
Aaron Meurer
On Tue, Jun 11, 2024 at 6:01 AM Michael Gfrerer wrote
the followiung code without success:
import sympy as sp
class LebesgueIntegral(sp.Expr):
def _latex(self, printer, exp=1):
m, n, l = self.args
_m, _n, _l = printer._print(m), printer._print(n), printer._print(l)
return r'\int_{%s} %s \,d%s' % (_m, _n, _l)
@classmethod
>> Rational(1, 2) == Float(0.5)
False
This was previously applied inconsistently. For example, it always
worked this way inside of expressions
>>> x**2 == x**2.0
False
The motivation for this change is that == means structural, not
mathematical equality in SymPy, and ratio
assumptions about the input.
Of course, to actually compute things, it might need to convert the
integral into a usual multidimensional signed Integral, since that is what
SymPy knows how to work with. Although SymPy's ability to operate on
multidimensional integrals is fairly limited and there might
Hi all,
I have just pushed SymPy 1.13.0rc1 to PyPI. This is a prerelease that
is being made available for early testing.
You can install this with:
pip install sympy==1.13.0rc1
Or alternatively:
pip install --upgrade --pre sympy
The release files can also be downloaded from GitHub
is
unordered,
however, we lose the identity Integral(f(x), (x, a, b)) == -Integral(f(x),
(x, b, a)) which had holded before
On Wednesday, June 5, 2024 at 9:20:51 PM UTC+2 asme...@gmail.com wrote:
> Not presently. There are objects representing sets in SymPy, but there
> isn't an
Not presently. There are objects representing sets in SymPy, but there
isn't anything to represent an integral over a set. The current Integral
class is hard-coded to support indefinite integrals or standard definite
integrals over signed intervals.
You could make your own version of such a thing
ecision to drop two Python versions right now for 1.13.
I followed this up on the Sage mailing list:
https://groups.google.com/g/sage-devel/c/0BPkiiWYrIU/m/9c2asTEaEwAJ?utm_medium=email_source=footer
That suggests that Sage has no need for SymPy 1.13 to support Python
3.8 which would have been dr
ooks like:
>
>
> I can "typeset" the left-hand-side by:
>
> from sympy import *
> x = Symbol('x')
> u = Function('u')(x)
> lhs = integrate(u, (x, 'Omega',)) + integrate(u, (x, Symbol(r'D \setminus
> \Omega'),))
>
> Obviously, it is not possible to s
I would be interested in doing symbolic manipulation of integrals involving
unevaluated functions and symbolic integration domains. A simplified
problem looks like:
I can "typeset" the left-hand-side by:
from sympy import *
x = Symbol('x')
u = Function('u')(x)
lhs = integrate(u,
On Tue, Jun 4, 2024 at 1:49 PM Oscar Benjamin
wrote:
>
> Hi all,
>
> A couple of weeks ago I put out a release for SymPy 1.12.1 which was
> just a few minor changes from 1.12 for compatibility with CPython
> 3.12, recent unreleased changes in mpmath and also changes in the
&g
On Sun, 14 Apr 2024 at 14:15, Anton Akhmerov wrote:
>
> > SymPy does not really support old versions with maintenance releases
> > so it does not really have a "support cycle" in the sense that SPEC 0
> > seems to describe. There can be a bugfix release shortly aft
Hi all,
A couple of weeks ago I put out a release for SymPy 1.12.1 which was
just a few minor changes from 1.12 for compatibility with CPython
3.12, recent unreleased changes in mpmath and also changes in the
upcoming NumPy 2.0.
After some delay I have initiated the release of SymPy 1.13
I think that this question is quite technical, but I may take a chance to
answer this
I think that you may try to fix this by adding
constructor_postprocessor_mapping to corresponding vector module, as done
by matrix
https://github.com/sympy/sympy/blob/8c94201570737a2fc3ef8e9cc53bed01a44e8281
Debapriya,
Welcome. I suggest you start with the links below.
Go to https://github.com/sympy/sympy/wiki/introduction-to-contributing and
read about contributing to the project.
Then look at the Easy to Fix and Good First Issues in the Github
repository:
https://github.com/sympy/sympy/issues
Hello, I am Debapriya .
I am new to this community and new to Open source.
Can anyone help me out in finding good first issues to get started with.
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exists, you'll have to do some work yourself manipulating the
equations yourself to help SymPy find it, because it doesn't yet have
the algorithms to find it on its own. If you find that a closed-form
solution does exist, you can open an issue for SymPy to improve its
solvers for this equation.
Aaron
gt; > arc_length_expr = integrate(sqrt(1 + (2 * a * x + b)**2),
>> > (x, x1, x2))
>> > eq3 = Eq(arc_length_expr, length)
>> > solution = solve((eq1, eq2, eq3), (a, b, c))
>> >
>> > # Print the solution to debug
>> > print("Solution:", solut
(sqrt(1 + (2 * a * x + b)**2),
> > (x, x1, x2))
> > eq3 = Eq(arc_length_expr, length)
> > solution = solve((eq1, eq2, eq3), (a, b, c))
> >
> > # Print the solution to debug
> > print("Solution:", solution)
> >
> > return solution
> >
>
, c))
>
> # Print the solution to debug
> print("Solution:", solution)
>
> return solution
>
> --
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to debug
print("Solution:", solution)
return solution
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> Thank you very much for your helpful reply.
> >
> > Since I was using collect, I used the following code:
> >
> > ```python
> > import sympy as sp
> > from sympy import sin, cos, atan, integrate, diff
> > t,μ,ρ,ψ = sp.symbols(['t','μ','ρ','ψ'])
> >
&g
gt; >
> > Thank you for the quick response.
> >
> > Yes, it looks like refine_root() does the job more efficiently. Thank
> you for the note.
> >
> > I am facing issues in getting _find_poly_sign_univariate function to
> work.
> > When I run
"sympy" group.
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On Wed, 22 May 2024 at 01:10, Ani J wrote:
>
> Thank you for the quick response.
>
> Yes, it looks like refine_root() does the job more efficiently. Thank you for
> the note.
>
> I am facing issues in getting _find_poly_sign_univariate function to work.
> When
Thank you for the quick response.
Yes, it looks like refine_root() does the job more efficiently. Thank you
for the note.
I am facing issues in getting _find_poly_sign_univariate function to work.
When I run from sympy import find_poly_sign, I get the following error:
ImportError: cannot
he tool itself gives separate intervals.
See the function _find_poly_sign_univariate in
https://github.com/sympy/sympy/issues/26177
That function finds points where a univariate polynomial is nonzero
that separate all roots.
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Oscar
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have your intervals to just refine a single
interval, which would at least be a little more efficient.
Aaron Meurer
On Tue, May 21, 2024 at 4:30 PM Ani J wrote:
>
> It doesn't look like just taking the minimum length works.
> Consider the following program:
>
> from sympy imp
ot intersect because the interval does
not contain its boundary.
For rational roots the intervals may not be of length 0. Consider the
following program:
- from sympy import Poly
- from sympy.abc import x
- from sympy import div, ZZ, QQ, RR
- print(Poly(4*x**2 - 9, x, domain='QQ
car
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It doesn't look like just taking the minimum length works.
Consider the following program:
- from sympy import Poly
- from sympy.abc import x
- from sympy import div, ZZ, QQ, RR
- p = Poly(x**6 + 19/5*x**5 + 131/50*x**4 - x**2 - 19/5*x - 131/50, x,
domain='QQ')
- print
r
>>
>> On Tue, May 21, 2024 at 2:51 PM Ani J wrote:
>> >
>> >
>> > Oh! I see, but i believe that the intervals overlap on the endpoints, is
>> > it possible to make the intervals completely disjoint??
>> > For example consider the following program:
>
>
> On Tue, May 21, 2024 at 2:51 PM Ani J wrote:
> >
> >
> > Oh! I see, but i believe that the intervals overlap on the endpoints, is
> it possible to make the intervals completely disjoint??
> > For example consider the following program:
> >
> > from
, 1), ((-1, -1), 1), ((-10/11, -9/10), 1), ((1, 1), 1)]
Aaron Meurer
On Tue, May 21, 2024 at 2:51 PM Ani J wrote:
>
>
> Oh! I see, but i believe that the intervals overlap on the endpoints, is it
> possible to make the intervals completely disjoint??
> For example consider the followi
Oh! I see, but i believe that the intervals overlap on the endpoints, is it
possible to make the intervals completely disjoint??
For example consider the following program:
- from sympy import Poly
- from sympy.abc import x
- from sympy import div, QQ
- p = Poly(x**6 + 19/5*x**5
llowing code:
>
> ```python
> import sympy as sp
> from sympy import sin, cos, atan, integrate, diff
> t,μ,ρ,ψ = sp.symbols(['t','μ','ρ','ψ'])
>
> rhs = 2*μ*(1 - ρ*cos(ψ)**2)*ρ*sin(ψ)**2
>
> from sympy.simplify.fu import TR8
> rhs = TR8(rhs).expand()
>
> rhs = sp.
Thank you very much for your helpful reply.
Since I was using collect, I used the following code:
```python
import sympy as sp
from sympy import sin, cos, atan, integrate, diff
t,μ,ρ,ψ = sp.symbols(['t','μ','ρ','ψ'])
rhs = 2*μ*(1 - ρ*cos(ψ)**2)*ρ*sin(ψ)**2
from sympy.simplify.fu import TR8
rhs
t an interval in which there is
> more than one root, it will raise an error.
>
> /c
> On Tuesday, May 21, 2024 at 6:06:14 AM UTC-5 ani...@gmail.com wrote:
>>
>> Is it possible to use SymPy library to get intervals (with rational
>> endpoints) such that there is exact
This is what your code looks like after prefixing with ‘’’python and
suffixing with ‘’’ (where back tics were used instead of single quotes):
def factor_subexpressions(expr): """Factors all subexpressions of a SymPy
expression. Args: expr: A SymPy expression. Returns: A S
debur...@gmail.com wrote:
>
> Is this function a good way to apply factor to subexpressions?
>
> def factor_subexpressions(expr):
> """Factors all subexpressions of a SymPy expression.
>
> Args:
> expr: A SymPy expression.
>
> Returns:
>
21, 2024 at 6:06:14 AM UTC-5 ani...@gmail.com wrote:
> Is it possible to use SymPy library to get intervals (with rational
> endpoints) such that there is exactly one root in the interval? I would
> like to use an implementation of RRI algorithm for my purpose. I believe
> that
Is it possible to use SymPy library to get intervals (with rational
endpoints) such that there is exactly one root in the interval? I would
like to use an implementation of RRI algorithm for my purpose. I believe
that the interval function does this. Is this correct? Is it guaranteed
Is this function a good way to apply factor to subexpressions?
def factor_subexpressions(expr):
"""Factors all subexpressions of a SymPy expression.
Args:
expr: A SymPy expression.
Returns:
A SymPy expression with all subexpressions factored.
"""
The SWE-agent project uses LLMs to try to automatically fix issues in
GitHub repositories. I found their paper interesting, mostly because
they make extensive use of SymPy as a test repository.
https://swe-agent.com/
Apparently there are quite a few SymPy issues in the SWE-bench
dataset, which
uot;Misc" section in the page mentioned
> on my first message?
>
>
> That page hasn't really been updated since 2014 :(
> Time units are already supported. Calendars are not. I cannot think of a use
> case where users would use SymPy for calendars.
I agree. We don't want S
en updated since 2014 :(
Time units are already supported. Calendars are not. I cannot think of a
use case where users would use SymPy for calendars.
Or is there anything from the units module you would like us to work on?
It would be nice to have transformations between unit systems. But that's
Francesco could probably give a more specific answer, but I imagine
you could find some things that need fixing in the units module if you
search in the issue tracker.
Aaron Meurer
On Mon, May 13, 2024 at 8:56 AM 'Henrique Miguel Cortes Soares' via
sympy wrote:
>
> Sorry for the late re
Sorry for the late response, we've been busy with other subjects.
What about time systems, included in the "Misc" section in the page
mentioned on my first message? Or is there anything from the units module
you would like us to work on?
We could also work on some new area where symp
Clear, thank you Aaron!
-Original Message-
From: sympy@googlegroups.com On Behalf Of Aaron Meurer
Sent: Montag, 6. Mai 2024 21:08
To: sympy@googlegroups.com
Subject: Re: [sympy] GSoC 2024 Contributors Announced
Yes, I probably should have shared this initially, but you can see a list
Yes, I probably should have shared this initially, but you can see a
list of the projects with their summaries at
https://summerofcode.withgoogle.com/programs/2024/organizations/sympy
Aaron Meurer
On Fri, May 3, 2024 at 12:25 PM wrote:
>
> Dear Aaron,
>
> I am happy to join in co
need to have a fork of this repository in
>> somewhere (Sympy org or else). So If someone can help me with that I will
>> try to contribute.
>>
>> Best Regards,
>> Samith Karunathilake.
>>
>> On Friday, May 3, 2024 at 2:54:28 AM UTC+5:30 asme...@gmail
Hi Aaron,
> Thank you for the reply, I would like to give it try. In-order to
> contribute to this project, I need to have a fork of this repository in
> somewhere (Sympy org or else). So If someone can help me with that I will
> try to contribute.
>
> Best Regards,
&
Hi Aaron,
Thank you for the reply, I would like to give it try. In-order to
contribute to this project, I need to have a fork of this repository in
somewhere (Sympy org or else). So If someone can help me with that I will
try to contribute.
Best Regards,
Samith Karunathilake.
On Friday, May 3
orces and Torques: Jason Moore, Timo
> Stienstra
> Riccardo Di Girolamo, Sympy for Classical Mechanics: Developing and
> Benchmarking Equations of Motion Generation Methods: Jason Moore, Timo
> Stienstra
>
> Is there a way, I can 'see' what will be done there?
>
> Thanks &
messholds true.
These two projects look interesting to me:
Hwayeon Kang, Implementing Specific Forces and Torques: Jason Moore, Timo
Stienstra
Riccardo Di Girolamo, Sympy for Classical Mechanics: Developing and
Benchmarking Equations of Motion Generation Methods: Jason Moore, Timo Stienstra
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