Evolutionary computing; Machine learning for large teams (evolving and sharing ML code, reusing ML techniques, etc.); Daily programming tasks in Python (advanced binding capabilities, mutability, etc.

Advanced topics in Python including multi-threading, design patterns, asynchronous programming and etc.

Programming is a key transferable skill within the chemical sciences with applications supporting data acquisition, as a tool for chemical and spectroscopic analysis and as an environment for ...

Python’s greatest advantage comes from its libraries. They remove repetitive tasks, speed up development, and turn complex concepts into efficient, functional code. A select group stands out for ...