Week 4  Phase 1 Ends
So, with the fourth week, the first phase of my journey with SymPy
has come to an end. This blog post summarises the work done till now, in terms of PRs. Moreover, I will share with you the plans for phase 2.
I worked on the following PRs(listed in chronological order) during the first phase, many of them got merged and few are open.
Merged

#16528 : I worked on extending the
GumbelDistribution
to support both minimum and maximum versions of it. 
#16576: This PR added
Dirichlet
andMultivariteEwens
distributions. 
#16808 : This PR added
Multinomial
andNegativeMultinomial
distribution. 
#16810 : This PR improved the API of
Sum
by allowingRange
as the limits. 
#16825 : This PR in continuation, added
GeneralizedMultivariateLogGamma
distribution. This was an interesting one due to the complexity involved in its PDF. 
#16834 : This PR enhanced the
Multinomial
andNegativeMultinomial
distributions by allowing symbolic dimensions for them. 
#16897 : This was related to
sympy.core
and it helped in removing disparity in the results of special functiongamma
. 
#16899 : This was a workflow related to PR to ignore the
.vscode
folder. 
#16908 : This PR improved
sympy.stats.frv
by allowing conditions with foriegn symbols. 
#16913 : This removed the unreachable code from
sympy.stats.frv
. 
#16914 : This PR allowed symbolic dimensions to
MultivariateEwens
distribution. 
#16929 : This one was for the
sympy.tensor
module. It optimized theArrayComprehension
and covered some corner cases. 
#16981 : This PR added the architecture of stochastic processes. It also added discrete Markov chain to
sympy.stats
. 
#17003 : This PR ignored the
__pycahce__
folder by adding it.gitignore
file. 
#17030 : Some features like,
joint_dsitribution
were added in this PR. 
#17046 : Some common properties of discrete Markov chains, like fundamental matrix, fixed row vector were added.
Open

#16962 : The aim of this PR is to allow symbolic dimensions to single finite distributions, like
Die
,Binomial
. The work from my side is complete on this. 
#16934 : This PR aims to fix the bugs and test the code introduced in
GSoC
2018.
Apart from the above PRs I also reviewed code written by other contributors. Overall, according to me phase 1 was a great learning and working experience.
Let me share with you my plan for phase 2. Since, I will be working on random matrices during the upcoming phase, I have started the discussions for design with my mentors and things are taking shape. However, apart from random matrices, I will also work on few more general improvements for my phase 1 work.
The outline is given below,

I will work on extending the scope of queries handeled by discrete Markov chains by covering some uncommon cases.

Some work will be done to extend the
DiscreteMarkovChain
by addingContinuousMarkovChain
as the latter is almost same but with some extra parameters. 
I will implement random matrices and its various Gaussian ensembles according to the conclusion of the design discussions.

Last but not the least, I will try to merge my open PRs.
Thanks for reading and see you soon in phase 2. Bye!!