sdementen

Would this achieve what you want ? ```python pattern = ">{:opt}

hello @mathieu1, At the target, would the approach you are exploring/developing allow to develop within a conda environement on whatever Conda supported system (linux/windows/MacOS, 32/64 bit, ...) and then to...

Is there some way to identify the cycle leading to the recursive error in `resolve_all_refs()`? If so, I may be able to pre-patch the schema to remove these cycles

in the PR, if a path with glob characters exists as such, it is also yielded

sorry for not being clear, I try to rephrase based on your example application. In your example, protect the `create_book` view behind a login_required ``` urlpatterns = [ path('', views.Index.as_view(),...

fyi, as a workaround you can use `y @ a` instead of lpDot

just a naive question: why are you using remove_duplicates ? or maybe better question, should we use remove_duplicates when the index is part of the data (e.g. a datetimeindex for...

In the SO post you link, they suggest the simpler and more efficient alternative to remove duplicate indices; `df = df[~df.index.duplicated(keep='first')]`

Yet I see that there is already the logic to avoid duplicates values in DatetimeIndex a bit above in the code. So the drop_duplicates should probably only be applied when...

I think that https://github.com/ranaroussi/pystore/blob/master/pystore/collection.py#L181 should ` combined = dd.concat([current.to_pandas(), new]).drop_duplicates(keep="last")` instead of currently ` combined = dd.concat([current.data, new]).drop_duplicates(keep="last")` @ranaroussi could you confirm ?