<div dir="ltr">Hi, <div>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. </div><div>I have two questions related to logistics: </div><div>(1) Where should I work for the code? I find an empty organization in Github(<a href="https://github.com/BoostGSoC19">https://github.com/BoostGSoC19</a>), but I'm still not sure how I gonna submit them. </div><div>(2) Should I fork the whole ublas project? Or simply start build my own project directly under boost/numeric/ublas? </div><div>Another two questions related to project requirement: </div><div>(1) I have read one implementation from one previous student (<a href="https://github.com/BoostGSoC17/data_frame">https://github.com/BoostGSoC17/data_frame</a>), which is pretty good. But it somehow goes against my idea. Is it okay to start a new project? </div><div>And also I'd like to ask what's your expectation from this project? </div><div>I'm targeting at pandas.DataFrame(though it won't be that full-featured), but the basics are:</div><div>- indexing</div><div>- slicing</div><div>- sort based on col</div><div>- relation ops like select, join</div><div>- set operations on rows like union, set diff, intersect</div><div>- group (possibly)</div><div>(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? </div><div><br></div><div>Cheers, <br></div><div>Wei</div></div>