[sympy] Re: GSoC'19 Probability Idea proposal

STAGE 4 Export expressions of RV to external libraries(PyMC3, PyStan) I have used PyMC3 in my Machine Learning courses. Since both are python libraries, exporting to these libraries would basically deal with translating SymPy RVs so that they can be fed into them. Below is an example, to

[sympy] Re: GSoC'19 Probability Idea proposal

Here is my proposal. Please review and give your feedback. Regards *Implementation plans* STAGE 1 I plan to start the project by implementing the following distributions: - Univariate(Continuous): - Inverse Gaussian distribution:

[sympy] Re: GSoC'19 Probability Idea proposal

*Implementation plans* STAGE 1 I plan to start the project by implementing the following distributions: - Univariate(Continuous): - Inverse Gaussian distribution: [https://en.wikipedia.org/wiki/Inverse_Gaussian_distribution] - Levy distribution:

[sympy] Gsoc19 initial Proposal: Bond Graphs

Hello, I am Arooshi Verma from IIT Bhubaneswar,India. I have already started contributing to Sympy. I have been among the top in my engineering mechanics class. Moreover, I have qualified a lot of Physics and Mathematics Olympiads. After going through the Gsoc ideas page, I got particularly

Re: [sympy] Trouble trying to push

First check "git remote -v" and make sure "github" points to your fork and not sympy/sympy. If it isn't, you should "git remote remove github" and then re-add it with git remote add. If it is correct and points to your fork, then you should redo the steps to upload your public key to GitHub. See

Re: [sympy] new antipattern added to wiki

Great. You hit it right on point with min(). Mathematical consistency is more important, especially for SymPy functions. I would also add that the reason SymPy uses *args in the first place is for API consistency, so that expr.func(*expr.args) always works. And obviously you want to have things

Re: [sympy] GSOC 19: Code Generation

Hi Ankit, Besides what Aaron wrote, here are project ideas regarding code generation and Fortran that I would be very interested in: https://groups.google.com/d/msg/sympy/Oe5IlRXgXi0/CBAwGgBfAgAJ If you are interested, let me know. Ondrej On Thu, Mar 21, 2019, at 7:27 PM, Aaron Meurer wrote:

[sympy] GSoC ideas regarding Fortran (code generation, parsing, ...)

Hi, I just open sourced LFortran, an interactive Fortran compiler: https://gitlab.com/lfortran/lfortran. I worked on it for about 1.5 years, and I am very excited about it. It allows Fortran to be used in a Jupyter notebook (demo:

[sympy] GSoC'19 Probability Idea proposal

Hi, I am Ritesh Kumar, 3rd year CSE Undergraduate student at Indian Institute of Technology Kanpur. I have been contributing to SymPy for quite some time. Initially, I contributed to the mechanics module in SymPy, but later stats caught my attention, and since then I have been studying and

[sympy] GSoC'19 : Continuum mechanics Idea proposal

Hi, I am Ishan Joshi, a third-year undergraduate mechanical engineer from India. I have been contributing to SymPy for quite a long time. SymPy’s continuum_mechanics module interests me as I have some similar subjects in my course. I have currently proposed some contributions

[sympy] Re: Getting ready for 1.4 release

I have made the 1.4 release branch. Any changes that should go in 1.4 should be made as PR to that branch (only release critical changes). Everything else can continue to be merged into master as usual. Aaron Meurer On Mon, Mar 18, 2019 at 3:08 PM Aaron Meurer wrote: > > Ping on this. > > There

Re: [sympy] N-dimensional vectors and dyads

You may want to look at (it is a sympy library for geometric algebra) - https://github.com/brombo/galgebra specifically look at - /doc/galgebra.pdf If you are interested I have a python3 version that is not on the github site yet I could send you. On 3/22/19 10:48 AM, 'Markus Müller' via

[sympy] N-dimensional vectors and dyads

I needed an n-dimensional equivalent for the 3d-vectors and dyads in sympy/vector. Of cause, not all parts of it could be generalized ( e.g. the cross-product ) but the scalar and outer products still work. I guess that in the future the present classes would inherit from their n-dimensional

[sympy] status of risch algorithm for symbolic integration

Hello Aaron Meurer Could you please let me know the status of the 'risch algorithm for symbolic integration' project and please guide me where to start. Thanks Aliva -- You received this message because you are subscribed to the Google Groups "sympy" group. To unsubscribe from this group

Re: [sympy] Introduction and a question

Perhaps the loosely connected components could be identified in some canonical way. #16225 On Wednesday, March 13, 2019 at 2:11:00 PM UTC-5, Aaron Meurer wrote: > > If you follow the StackOverflow links at >

[sympy] Re: GSoC19 Initial Proposal-Review

> metric of the usability of solutions, or a notion of some solutions being better than others. Something that is now possible, thanks to @oscarbenjamin, is the ability to extract connected items from a set. cf here and the issue mentioned there

[sympy] new antipattern added to wiki

Having seen two recent issue (#16344 and #16341 ) relating to the unpacking of singletons, I added an entry to our AntiPatterns page . Search for

[sympy] Re: Implementation of ODE's solution.

I have listed these methods for this year of gSoc.I think all these are enough for a gSoc period - - Separation ansatz: - "A simple method to find out when an ordinary differential equation is separable" by José ́Ángel Cid - "Solving Differential Equations in

[sympy] Re: Implementation of ODE's solution.

>From few days I am trying to go through all the methods that I have posted.N ow I have got all the basic details of these methods, so I would like to first complete - order - "A simple method to find out when an ordinary differential equation is separable" by José

[sympy] Re: Inverse Laplace Transform in sympy 1.3 returns InverseLaplaceTransform(s**2/(s**2 + 5*s + 4), s, tiempo, _None)

The temporary solution to your problem is the following code, ``` from sympy import * s = symbols('s') F = apart(s**2/(s**2 + 5*s + 4)) print(F) c, t = symbols('c, t') exp = inverse_laplace_transform(F, s, t) print(exp) ``` Output: `DiracDelta(x) + exp(-x)*Heaviside(x)/3 -

[sympy] Re: SymPy equivalent in Ruby

Hi Siddharth, You can try https://github.com/symengine/symengine.rb Regards, Shekhar Prasad Rajak, Contact : +918142478937 Blog | Github | Twitter alternate email:

[sympy] Need help in continuum_mechanics

I have added functions to calculate shear stress and axial stress as well as appropriate tests for those changes. But still some of the checks are failing. Can someone help me out ? Check out this PR https://github.com/sympy/sympy/pull/16373 -- You received this message because you are

Re: [sympy] Need help in continuum_mechanics

Can you please provide the link to the pr!! On Fri, Mar 22, 2019, 3:47 PM wrote: > I have added functions to calculate shear stress and axial stress as well > as appropriate tests for those changes. But still some of the checks are > failing. Can someone help me out ? > > -- > You received this

[sympy] Need help in continuum_mechanics

I have added functions to calculate shear stress and axial stress as well as appropriate tests for those changes. But still some of the checks are failing. Can someone help me out ? -- You received this message because you are subscribed to the Google Groups "sympy" group. To unsubscribe from

[sympy] Introduction to SymPy community for GSOC 2019

Dear all, My name is Mohit Balwani and I am a second year Information and Communication Technology undergraduate from Adani Institute of Infrastructure Engineering (Gujarat Technological University) India. I have 4 years of experience of coding in Python and have excelled in all mathematics

[sympy] Re: Inverse Laplace Transform in sympy 1.3 returns InverseLaplaceTransform(s**2/(s**2 + 5*s + 4), s, tiempo, _None)

If you think this is something that didn't work the way you wanted, kindly raise the issue here , if you are on github. I would work on it. :-) Regards, Gagandeep Singh (Github ID - czgdp1807) On Friday, March 22, 2019 at 12:07:55 AM UTC+5:30, Alan