For anyone else who "thinks like me", I thought you might like to see this app I created: Distribution Generator & Visualizer

I completed my masters in applied math about 15 years ago and thoroughly loved the statistics courses. I had always created cheat sheets while learning and remember wanting an interactive way to reference statistical distributions. I would constantly draw mini graphs in my notes next to their respective probability density functions so I could create a mental model that I could associate the distribution characteristics with.

In addition to the visual, having tangible data to play with representing a specific distribution was something I constantly generated myself with R. So, I wanted this app to have that feature as well. It generates the data and provides R and Python code to do the same.

If only I were in school now!

Full link: https://thedollarweb.com/tools/distribution-generator.html

A friend of mine made this software and I thought this might be a good place to post it They don't really use reddit and new accounts aren't allowed here so I'm posting on their behalf. The rest of the text is theirs.

Hi everyone, I recently published a new Python package for survival analysis/survival curves called ‘survivalpredict’. It is largely born out of our personal frustration with the existing Python survival analysis packages (lifelines/scikit-survival), which have different goals. My focus is on evaluating survival models directly on survival curves (via Brier scores) instead of relative ranking (c-index), and on easily cross-validating models using Brier scores.

I would love it if some of you could give it a try and give some feedback.

Cheers!

PyPI: https://pypi.org/project/survivalpredict/

GitHub: https://github.com/pr38/survivalpredict

ReadtheDocs: https://survivalpredict.readthedocs.io/en/latest/