Re: [sympy] Introduction to Sympy Community

[Gagandeep Singh (B17CS021)]

Hi,

Please read the contributing guide(
https://github.com/sympy/sympy/wiki/Introduction-to-contributing). In
addition, also take a look at README(
https://github.com/sympy/sympy/blob/master/README.rst). Take a look at this
list(https://github.com/sympy/sympy/labels/Please%20take%20over)  for
stalled PRs. Feel free to open a new one for continuing one of these.

With Regards,
Gagandeep Singh
Github - https://www.github.com/czgdp1807
LinkedIn - https://www.linkedin.com/in/czgdp1807

On Mon, 6 Jan, 2020, 1:11 PM SHUBHAM MAURYA,  wrote:

> Hello everyone ,  myself  shubham maurya,  bachelors  student of computer
> science engineering at nit agartala. I have intermediate  knowledge python
> and c++ . I have interest in field of machine learning and data science. I
> have done capstone project and other computer vision projects.I have
> engineering level maths knowledge.Interested in calculus.looking forward a
> lot to learn .  my gitter account name is  @shubhamnita2020 .
>
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> 
> .
>

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[sympy] Introduction to Sympy Community

[SHUBHAM MAURYA]

Hello everyone ,  myself  shubham maurya,  bachelors  student of computer 
science engineering at nit agartala. I have intermediate  knowledge python 
and c++ . I have interest in field of machine learning and data science. I 
have done capstone project and other computer vision projects.I have 
engineering level maths knowledge.Interested in calculus.looking forward a 
lot to learn .  my gitter account name is  @shubhamnita2020 .

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Re: Re: [sympy] Suggestion on Derivative and Expr._diff_wrt

[mcpl snu]

Although using the rules of derivative is good idea, I'm not really sure 
that SymPy currently has the class for 'd' operator.

And, regarding to your second reply, df(t-1)/dt will be good for 
AppliedUndef classes. Written in SymPy code, it will be 
Subs(Derivative(f(t),t), (t,), (x+1)). Then, how about letting 
f(x).diff(x+1) result this?
Also, let's say if the expression is not AppliedUndef but other class, e.g. 
Add. For example, dx/d(x+1). In this case, substituting x+1 with t can 
evaluate this to 1, so I think x.diff(x+1) can return 1 as well.

Let me summarize:

- Differentiating AppliedUndef with x+1 results Subs(Derivative(f(t),t), 
(t,), (x+1)).
- Differentiating other classes, such as Add or Mul, results the evaluated 
value, if possible.

How do you think of it?



2020년 1월 5일 일요일 오전 2시 51분 8초 UTC+9, Vishesh Mangla 님의 말:
>
> Wrong if you want to use substitution then it should be df(t-1)/dt.
>
>  
>
> Sent from Mail  for 
> Windows 10
>
>  
>
> *From: *David Bailey 
> *Sent: *04 January 2020 22:52
> *To: *sy...@googlegroups.com 
> *Subject: *Re: [sympy] Suggestion on Derivative and Expr._diff_wrt
>
>  
>
> On 04/01/2020 13:08, mcpl snu wrote:
>
> It's same as df(t)/dt, where t=x+1.
>
>  
>
> Thanks, and I suppose that also generalises to expressions such as 
> df(x)/d(sin(x))? 
>
> df(t)/dt where t=sin(x)
>
> Given how easy it is to mistype input to sympy, I don't think such an 
> extension is such a good idea.
>
> David
>
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>  
> 
> .
>
>  
>

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[sympy] Re: SymPy 1.5.1 released

[Oscar Benjamin]

The SHA256 hashes for the release files are:

4880d3a351558063bd89febda302f220dc4b88de393bba81fa6539a3966f03fa
sympy-1.5.1-py2.py3-none-any.whl
d77901d748287d15281f5ffe5b0fef62dd38f357c2b827c44ff07f35695f4e7e
sympy-1.5.1.tar.gz
849c0a3f1731f61446a0c0dabfe109f9e1e7358fe9589a0eadbd58e456c34bd1
sympy-docs-html-1.5.1.zip
760b1d02e32ef3e152dfa61b88bb732bf900ca0709b10d79e729164a2fb5236b
sympy-docs-pdf-1.5.1.pdf

On Sun, 5 Jan 2020 at 15:31, Oscar Benjamin  wrote:
>
> Hi all,
>
> It is my pleasure to announce the release of SymPy 1.5.1 today. I have
> uploaded the release files to for this release to PyPI so you should
> be able to install or upgrade with
>
> $ pip install -U sympy
>
> This is a bugfix release of SymPy that fixes one regression introduced
> in 1.5 and updates lambdify to avoid using recently deprecated
> functions from scipy. The full release notes can be found here:
> https://github.com/sympy/sympy/wiki/Release-Notes-for-1.5.1
>
> Please report any issues with this release to GitHub.
>
> The following people contributed at least one patch to this release
> (names are given in alphabetical order by last name). A total of 3
> people
> contributed to this release. People with a * by their names
> contributed a patch for the first time for this release; 0 people
> contributed for the first time for this release.
>
> Thanks to everyone who contributed to this release!
>
> - Oscar Benjamin
> - S.Y. Lee
> - Aaron Meurer
>
> --
> Oscar

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[sympy] SymPy 1.5.1 released

[Oscar Benjamin]

Hi all,

It is my pleasure to announce the release of SymPy 1.5.1 today. I have
uploaded the release files to for this release to PyPI so you should
be able to install or upgrade with

$ pip install -U sympy

This is a bugfix release of SymPy that fixes one regression introduced
in 1.5 and updates lambdify to avoid using recently deprecated
functions from scipy. The full release notes can be found here:
https://github.com/sympy/sympy/wiki/Release-Notes-for-1.5.1

Please report any issues with this release to GitHub.

The following people contributed at least one patch to this release
(names are given in alphabetical order by last name). A total of 3
people
contributed to this release. People with a * by their names
contributed a patch for the first time for this release; 0 people
contributed for the first time for this release.

Thanks to everyone who contributed to this release!

- Oscar Benjamin
- S.Y. Lee
- Aaron Meurer

--
Oscar

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