dagster-slack 0.13.4 on Python PyPI

[dagster-k8s] The k8s_job_executor is no longer experimental, and is recommended for production workloads. This executor runs each op in a separate Kubernetes job. We recommend this executor for Dagster jobs that require greater isolation than the multiprocess executor can provide within a single Kubernetes pod. The celery_k8s_job_executor will still be supported, but is recommended only for use cases where Celery is required (The most common example is to offer step concurrency limits using multiple Celery queues). Otherwise, the k8s_job_executor is the best way to get Kubernetes job isolation.
[dagster-airflow] Updated dagster-airflow to better support job/op/graph changes by adding a make_dagster_job_from_airflow_dag factory function. Deprecated pipeline_name argument in favor of job_name in all the APIs.
Removed a version pin of the chardet library that was required due to an incompatibility with an old version of the aiohttp library, which has since been fixed.
We now raise a more informative error if the wrong type is passed to the ins argument of the op decorator.
In the Dagit Launchpad, the button for launching a run now says “Launch Run” instead of “Launch Execution”

Fixed an issue where job entries from Dagit search navigation were not linking to the correct job pages.
Fixed an issue where jobs / pipelines were showing up instead of the underlying graph in the list of repository graph definitions.
Fixed a bug with using custom loggers with default config on a job.
[dagster-slack] The slack_on_run_failure_sensor now says “Job” instead of “Pipeline” in its default message.

Fixed a bug that was incorrectly causing a DagsterTypeCheckDidNotPass error when a Dagster Type contained a List inside a Tuple (thanks @jan-eat!)
Added information for setting DAGSTER_HOME in Powershell and batch for windows users. (thanks @slamer59!)

Changed the job explorer view in Dagit to show asset-based graphs when the experimental Asset API flag is turned on for any job that has at least one software-defined asset.

Updated API docs and integration guides to reference job/op/graph for various libraries (dagstermill, dagster-pandas, dagster-airflow, etc)
Improved documentation when attempting to retrieve output value from execute_in_process, when job does not have a top-level output.