I have tried to prepare a mini-notebook to demonstrate the final
deliverable. Please have a look at it.

I have made limited use of Matplotlib and NumPy, focusing mainly on SymPy.

Please have a look at the attached files of previous email.

I hope to hear from you soon.

Thank you.

On Sat, 15 Feb, 2025, 11:24 PIYUSH KUMAR, <
[email protected]> wrote:

> Hi Matthew,
> I have tried to prepare a mini-notebook to demonstrate the final
> deliverable. Please have a look at it. I have made limited use of
> Matplotlib and NumPy, focusing mainly on SymPy
>
> I kindly request you to consider this proposal under "*User Application
> Projects*" for GSoC 2025.
> Do let me know if this project can be taken up under different category as
> well (other than User Application Projects).
> https://github.com/sympy/sympy/wiki/GSoC-Ideas
>
> I hope to hear back from you soon.
> Thank you.
> On Wednesday, February 12, 2025 at 8:47:45 PM UTC+5:30 [email protected]
> wrote:
>
>> Hi,
>> Thank you for proposing this idea. I would like to learn more about what
>> you envision the final deliverable to be?
>>
>> Best regards,
>> Matthew Robinson
>>
>> On Saturday, February 8, 2025 at 8:33:07 AM UTC-5
>> [email protected] wrote:
>>
>>> Hello SymPy developers,
>>> I recently shared the applications of SymPy with my fellow batchmates in 
>>> *Computer
>>> Aided Design* course and I got an overwhelming response.
>>> I have following topics in my CAD course and was curious to use SymPy
>>> for it. *(These are only few topics, there are more upcoming topics
>>> where SymPy can be used)*
>>>
>>>    -
>>>    - *Homogeneous Coordinates*
>>>    - *Isometric Transformations*
>>>    - *Similarity Transformations*
>>>    - *Affine Transformations*
>>>    - *Projective Transformations*
>>>    - *Combined Transformations*
>>>    - *Fixed Points Calculation*
>>>
>>> I was able to use it flawlessly and got positive response to use SymPy
>>> from my CAD Professor as well. Last night I tried coding for Geometric
>>> Transformations and it was quite fun.
>>>
>>> *My Proposal*: Prepare a clean Application based Jupyter Notebooks or
>>> Mini .PDF Books for Engineering students pursuing CAD, MATHEMATICS I, II,
>>> III and Probability and Statistics (or even some other courses).
>>>
>>> *Why this idea?*
>>>
>>>    - Conventional manual approach for solving these problems (even via
>>>    MATLAB and NumPy) is not that *user friendly* as compared to SymPy
>>>    - Indian Engineering Students accounts more than 3 million students.
>>>    - Mathematics I, II, III and Probability and Statistics are common
>>>    courses to all Engineering Streams in almost every college of India.
>>>    - CAD is also compulsory course pursued by Mechanical and
>>>    Manufacturing Engineering students.
>>>
>>> *I tried to use SymPy to solve 1 of my Previous Year Questions of my
>>> exams, and it was working great.*
>>>
>>> I want to work on it as GSOC 2025 contributor. Please let me know your
>>> opinion.
>>>
>>>
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>>
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