Adds runtime library. At the cost of needing spl_transpiler installed at execution time, this provides an SPL-like code experience in a production PySpark context. Besides wrapper helper functions, it also provides UDFs for functionality available in SPL that's not readily available in Spark by default.
Full Changelog: v0.1.7...v0.2.0