Wes McKinney comments

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                                            Wes McKinney

Iterative changes instead of all of them in 2.0 version?

I'm all for doing this work as incrementally as possible, especially during the initial project bootstrapping phase. However, several things about this: - The project has been going for over...

[R] Encoding info losses for non-ASCII column names

Does this issue persist in the `arrow` library?

Second run of test_package("feather") gives errors: loading dplyr namespace is the culprit

This can be closed once `feather` is changed to use `arrow` internally

API: .to_numpy()

I agree with this -- it would be helpful to start migrating away from the `.values` API toward something more explicit to ease the burden. We might even want to...

Copy on write for views

I agree COW isn't a strict necessity for the 1 -> 2 transition. I think it's worth keeping in mind during the development process as there's a number of things...

Copy on write for views

See discussion in https://github.com/pydata/pandas/pull/11500

Copy on write for views

It's probably not too likely, since it would be an API change that would take a little time to fully understand the impact. If anyone has other thoughts (separate from...

Copy on write for views

A notable benefit of copy-on-write is that operations like `reset_index` become zero-copy operations.

`DataFrame.mad()` has been deprecated

Thanks! I will fix this soon on wesmckinney.com/book and in the next errata-update of the print version (sometime in the next few months).

DEV: Publishing benchmarks vs. trunk?

I was thinking that ASV is the best choice -- as long as we can easily compare perf vs. a snapshot of master (e.g. we can use v0.19.0 as a...