Python's cool, but "right tool for the job" and all that. Just dive in with the Java or Scala api's and you'll have a better time :-).
We've used Python at scale on petabyte-sized production data, multi-billion-request API tiers, and high-concurrency low-latency data processing all the while.
Java is the right tool for writing system-level code in some isolated contexts, but Python is the right tool for the job for a huge number of important use cases, with those use cases growing by the day.
I love Java (and appreciate Kotlin and Clojure), but with parallel compute power cheaper by the day, Python's focus on code simplicity, open source ecosystem, and programmer happiness continues to win the day.