- Language design characteristics like static typing and a general lack of support for "magic" can help maintain order in large, long-term, many-contributor cod

- Language design characteristics like static typing and a general lack of support for "magic" can help maintain order in large, long-term, many-contributor codebases. - The JVM and CLR are both significantly faster and less resource intensive than CPython for a lot of workloads. - Java and .NET library ecosystems are mature and extensive. Python 2's ecosystem was also mature and extensive, but the community is in the process of throwing it away. - The real heavy lifting for media transcoding, storage, and serving is certainly not done in Python. Python is acting as orchestration glue for C/C++ programs there, which is a role it does well.