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Ublas : |
From: Cem Bassoy (cem.bassoy_at_[hidden])
Date: 2020-03-18 14:44:16
Hi Aniket,
thanks for considering Boost/uBLAS. Your potential mentor is David. If he
does not respond, just follow the instructions on the GSoC page and upload
your proposal.
Please note that we appreciate concrete (with code samples), realistic
(regarding time) and referring (to previous or pull requests) proposals.
Concrete examples inside the proposal will help us to understand intention
and it will demonstrate your experience and expertise.
Additionally, I advise to read
- previous gsoc discussions on this or on the general boost mailing list
- former gsoc student projects and proposals
to have a good feeling of the requirements.
Best,
Cem
Am Mo., 16. März 2020 um 23:15 Uhr schrieb Aniket Chowdhury via ublas <
ublas_at_[hidden]>:
> Hi,
> My name is Aniket Chowdhury
> <https://github.com/aniket-chowdhury?tab=repositories> and I am
> second-year undergraduate student.
>
> I wish to implement the DataFrame library for Boost. I have made the
> project proposal and am attaching the same.
> As, this project is an expansion of the previous project
> <https://github.com/BoostGSoC19/data_frame> there are a few directions
> that I would like to work in whichever adds more to the project.
>
> 1. We could be to keep the existing code base as it is and implement new
> features on top of it.
> 2. We could try to restructure the code into *Modules*(C++20 feature) and
> then implement the features.
> 3. Or, we could restructure the code without ET but rather using *C++20
> One Ranges*. This makes more sense to me as I believe that uBlas is being
> ported to C++20.
>
> The DataFrame would include the following features:
> 1. All the features already present(union, combine, join).
> 2. Read/write from *DataFrame using JSON*(boost::property_tree to
> DataFrame)
> 3. Operator support for addition, subtraction, multiplication, division,
> modulo and power, etc as well as support for comparison operators.
> 4. Functions to perform apply, apply_element_wise, aggregate, transform
> and expand on a given DataFrame.
> 5. Data analysis tools for standard deviation, variance, mean, etc.
> 6. Re-indexing methods like replace, duplicate, filter, etc.
> 7. Reshaping methods for sorting, append, pivot, etc.
>
> *Full Details* of the same can be found in the *Project Proposal*.
>
> I have been in contact with David Bellot for the past week regarding GSoC.
> I have completed the first draft of the competency check and sent the same
> to him. I would love to work I am requesting him to be assigned as a
> mentor for the same.
> *PFA: *The Project Proposal
> <https://docs.google.com/document/d/1wyegbUEbpOopaQSWtFd0a_ch4QeIERKXGVX6GJSSdBo/edit?usp=sharing>(linked
> in case the attachment fails)
>
> This is an official application for the GSoC' 20. I am open to any and all
> suggestions.
>
> Aniket Chowdhury
> _______________________________________________
> ublas mailing list
> ublas_at_[hidden]
> https://lists.boost.org/mailman/listinfo.cgi/ublas
> Sent to: cem.bassoy_at_[hidden]
>