🌟 Skrub 0.11.0 has been released 🌟

What's Changed

Add CategoricalEncoder combining OneHotEncoder and TargetEncoder by @faithlesstomas in #2244
add caching to .skb.apply by @jeromedockes in #2017
FEAT - Optimize session encoder to improve performance by @rcap107 in #2285
Exposing transformations applied by Cleaner and TableVectorizer by @emassoulie in #2122

Adding banner linking to the DOI by @rcap107 in #2265
Renaming TextEncoder -> LLMEncoder by @rcap107 in #2255
MAINT - move the docs folder to the skrub folder by @rcap107 in #2274
DOC - expanding the docstring of data ops by @rcap107 in #2277
Support tuple unpacking of DataOps by @e-strauss in #2243
feat: take pipeline's estimator into account to decide tabular vectorizer options in TabularPipeline by @khaoulariad in #2152
MAINT - bumping minimum reqs for release 0.11 by @rcap107 in #2280
fix(ToDatetime): accept pandas columns of datetime.date objects by @Sanjays2402 in #2231
DOC - Adding guide on describing transformations by @rcap107 in #2297
feat: add accept_numeric kwarg to ToCategorical by @lisaleemcb in #2252
Fix Issue 2114: Accept estimators that don't inherit from sklearn.BaseEstimator in tabular_pipeline by @ljdyer in #2225
speed up dataop graph walk during checks by @jeromedockes in #2296
Dataop reports have links to source code by @jeromedockes in #2292
.skb.full_report(eval=False) by @jeromedockes in #2308
full_report -> report by @jeromedockes in #2310

Full Changelog: 0.10.1...0.11.0