Performance, perhaps, hasn't been a top priority for Python as adoption has been fueled by machine learning and data science thanks to Tensor Flow, Numpy, Pandas and many more platforms, such as ...

Multithreaded Python applications don’t perform true parallel computing. Instead, they just create the illusion of parallelism. To achieve this, Python schedules a thread to run for a few CPU cycles, ...