Python is great because it includes an interactive mode for learning the language and quickly testing out code ideas. IPython ...

However, Python’s methods for parallelizing operations often require data to be serialized and deserialized between threads or nodes, while Julia’s parallelization is more refined.

Developers now have the ability to access the QM database from a Python program. There is also full support for locking, transactions, select lists, alternate key indices, instantiation, and execution ...

I would recommend Python for any program that crunches text-based data, because it is easy enough for beginning programmers, but powerful and flexible enough to handle larger tasks. The Python home ...