Module 5 suggestions

[alessandrofelder]

• slide 95: @niksirbi made a really nice NIU+Python ecosystem graphic that would go well here.
• slide 97: mention environments here and say we will cover them later?
• slide 98: we should cover the concept of an array before we introduce numpy functions here. And maybe not use class, but refer back to datatype/objects explanations from earlier
• slide 99: should values be a np.array or is the solver expected to convert? (arguably you could/should use existing list functions for this exercise if you have a list) Can we introduce instantiation of arrays from a list and with things likes np.ones/zeros(_like) first?
• slide 100: "A NumPy array is a class useful for mathematical operations on an entire collection." I would maybe remove this sentence?
• slide 102: The answer includes the word "vectorised" which has not been introduced.

I really like the numpy exercises after slide 102

[niksirbi]

slide 95: @niksirbi made a really nice NIU+Python ecosystem graphic that would go well here.

The graphic is already on Zenodo: https://zenodo.org/records/17436793
Feel free to use.