Tom Augspurger

See https://github.com/pandas-dev/pandas-release Some parts are pandas-specific, others could be adapted without too much effort. There's also [rever](https://regro.github.io/rever-docs/index.html), which may be suitable for statsmodels.

I haven't checked, but we can maybe use the https://github.com/peter-evans/repository-dispatch action to have an action here (pushed a tag) to trigger an action in MacPython/pandas-wheels.

I'm fine with moving `pandas-release` here. On Mon, Oct 19, 2020 at 7:01 AM Simon Hawkins wrote: > Thanks @TomAugspurger > > dispatching events between repositories sort of leads to...

I'm not sure about the name... I worry about having both a `.quantile` and `quantiles`, and I don't think that quantile**s** really conveys what's different about this method. To me...

Still open, still worth doing. On Thu, Aug 8, 2019 at 10:31 AM jakirkham wrote: > @TomAugspurger , do you have any > thoughts on this one? > > —...

Small status update: I worked on this a bit. We need to find a good (approximate) quantile algorithm to discover the partitions. Everything we have right now works with 1D...

That's good to hear. I'll dust off my branch that started down this path and push something up, hopefully later this week.

One question is whether we should support pandas' option, or use Dask's config system. I'd suggest both: We'd make a new setting in Dask's config called something like `dataframe.display.max_columns`. The...

I think that upcasting with no warning is most consistent with pandas' current behavior. e.g. `concat`: ```python In [1]: import pandas as pd In [2]: pd.concat([pd.DataFrame({"A": pd.Series([1], dtype="int32")}), pd.DataFrame({"A": pd.Series([2],...

@syagev how many processes do you have per worker? And we'd be grateful if you're able to provide a reproducible example of these resources not being honored.