Hi, 

My name is Wei Wang, and I am lucky to be able to as the student for GSoC19 Boost::ublas library. My project is to build a data structure work like pandas.DataFrame or dataframe in R. As I found on GSoC's website, my mentor will be Bellot, and I'm very glad. 

I have two questions related to logistics: 

(1) Where should I work for the code? I find an empty organization in Github(https://github.com/BoostGSoC19), but I'm still not sure how I gonna submit them. 

(2) Should I fork the whole ublas project? Or simply start build my own project directly under boost/numeric/ublas? 

Another two questions related to project requirement: 

(1) I have read one implementation from one previous student (https://github.com/BoostGSoC17/data_frame), which is pretty good. But it somehow goes against my idea. Is it okay to start a new project? 

And also I'd like to ask what's your expectation from this project? 

I'm targeting at pandas.DataFrame(though it won't be that full-featured), but the basics are:

- indexing

- slicing

- sort based on col

- relation ops like select, join

- set operations on rows like union, set diff, intersect

- group (possibly)

(2) What should I show in my final submit? Will it be evaluated on whether my code is able to merge? Or simply I will be provided some test case and see if I can pass them? 

Cheers, 

Wei

_______________________________________________
ublas mailing list
ublas@lists.boost.org
https://lists.boost.org/mailman/listinfo.cgi/ublas
Sent to: david.bellot@gmail.com