Olivier Grisel<p>Yesterday I learned at the <a href="https://sigmoid.social/tags/EuroScipy2023" class="mention hashtag" rel="tag">#<span>EuroScipy2023</span></a> <a href="https://sigmoid.social/tags/IbisData" class="mention hashtag" rel="tag">#<span>IbisData</span></a> tutorial that Ibis now offers an implementation of the across function first introduced in <a href="https://sigmoid.social/tags/dplyr" class="mention hashtag" rel="tag">#<span>dplyr</span></a> to conveniently and concisely apply transformations on a set of columns defined by selectors (e.g. based on column data types or name patterns).</p><p>This is especially convenient to implement scalable, in-DB feature engineering for machine learning models.</p><p>More examples in these blog post:</p><p><a href="https://ibis-project.org/blog/selectors/" target="_blank" rel="nofollow noopener noreferrer" translate="no"><span class="invisible">https://</span><span class="ellipsis">ibis-project.org/blog/selector</span><span class="invisible">s/</span></a></p>