Operators, Patterns, Scheduling & Parallelism and Further Abstractions

[sirinath]

Also adding operators and patterns to combine and pipeline the streams would be needed.

Think about:

• combinators
• transformers
• push and pull streams
• vectorised time series and linear algebra for ML
• streaming data through series, tables, panels, etc. for ML
• Algorithmic Skeletons and Process Calculi and Process Algebras

[biboudis]

Enhancing the strymonas libraries with more combinators, trasformers and investigating its applicability in larger domains such a machine learning is a top priority for us.

Since this issue is general and and does not provide a strong case for a single action item let's move this on gitter.

Concrete features requests are more than welcome!
Thank you @sirinath