Changes in version 0.1.2                        

  - summarise() after joins no longer errors when combining n() or
    n_distinct() with other aggregates on two grouping columns (Dask
    shuffle + pandas 3 merge). n() is a dummy-ones sum in one
    groupby.agg(), and two aggregates may now target the same column
    (mean(x) and max(x)).
  - dask_connect(master = "coiled", cluster_name = ...) opens or
    attaches a 'Coiled' cluster through Python coiled.Cluster.
    dask_coiled_clusters() lists account clusters. Creating a cluster
    defaults to n_workers = 1 (1 scheduler + 1 worker). Tests: default
    never creates a cluster; DASKLYR_COILED=true attaches a ready
    DASKLYR_COILED_NAME; DASKLYR_COILED=create is required to start a
    new id.
  - DESCRIPTION: quote 'Python' as requested after the 0.1.1 CRAN
    acceptance.

                 Changes in version 0.1.1 (2026-10-15)                  

  - CRAN incoming pretest: quote software names in DESCRIPTION, drop the
    loopback dashboard link from README, and do not start Python from
    examples or CRAN tests via dask_available().

                        Changes in version 0.1.0                        

  - First public release: connect to local or remote Dask, copy_to() /
    tbl(), dplyr verbs, Parquet and CSV, ddf_* table helpers, and
    dask_invoke().