University research labs have a different structure than corporate research labs and their compute setups. In this post, I list useful Python resources for starting in a university machine learning lab.
Benchmarks for the latest parallel features in pysparkling. It shows good scaling for processing with multiple CPU cores. The example contains only a simple computation which shows that hyperthreading is not very effective in this case.