Re: [sympy] Re: [Discussion] GSoC 2020 Stats module

Hello Everyone, I am attaching the link to my draft proposal here . I have shared it with Sympy. Please review it and provide the comments to improve it further. Thanking you. Regards, Smit Lunagariya --

Re: [sympy] Re: [Discussion] GSoC 2020 Stats module

Hi Gagandeep, Thanks for your response. I would surely go with the suggestion and change the timeline accordingly. -- You received this message because you are subscribed to the Google Groups "sympy" group. To unsubscribe from this group and stop receiving emails from it, send an email to

Re: [sympy] Re: [Discussion] GSoC 2020 Stats module

Hi Smit, 1. *Community Bonding - *It looks like many distributions are going to be added in the stats module. I would suggest to reduce the number of new distributions to at most 5. Instead you can include testing and improving the joint distributions, multivariate distributions, the current

[sympy] Re: [Discussion] GSoC 2020 Stats module

Hi, I am Smit Lunagariya, an undergraduate student from Mathematics and Computing Engineering, Indian Institute Technology-BHU. I am programming in python for one year. I am interested in Mathematics and its symbolic computation, specifically in Statistics. I have experience in Probabilistic

[sympy] Re: [Discussion] GSoC 2020 Stats module

Hi, I would surely prepare a rough timeline plan of implementation within few days and provide an update. Can you please guide me to the updated ideas list, so I could also extract the ideas from them and add them to the plan? Thanks, Smit Lunagariya. -- You received this message because you

Re: [sympy] Re: [Discussion] GSoC 2020 Stats module

Well, a good starting point for the community bonding phase will be to test the current implementation, especially the query handler of Markov Chain and see if there is a scope of improvement, and implementing Random Walks. In fact a rough plan, like division of various ideas across the complete

[sympy] Re: [Discussion] GSoC 2020 Stats module

Currently, stats module support only markov chains and Bernoulli Process as the stochastic process. I would like to implement more of such stochastic process mention in this link : https://en.wikipedia.org/wiki/List_of_stochastic_processes_topics -- You received this message because you