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This repository was archived by the owner on Oct 9, 2024. It is now read-only.
This repository was archived by the owner on Oct 9, 2024. It is now read-only.

Brief content review Eps 1-4 #1

@stephenpcook

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@stephenpcook

Reviewing content as of d910945, Episodes 1-4.

Ep 1

- Python is easy to learn, compared to other programming languages. Its syntax was specifically designed to be easily read and understood, even by amateur developers.

suggest "easy to learn compared to some other programming languages"

- R is an open-source statistical computing language, with some excellent packages for statistics and visualisation. If you plan on linking analysis with cloud services, building websites or applications, or performing other development tasks, a general purpose language such as Python is perhaps a better choice. A good comparison of Python and R is made by IBM [here.](https://www.ibm.com/cloud/blog/python-vs-r).

Could note that both R and MATLAB can call and be called by python, incase attendees already have experience with these.

Ep 3

odds.reverse()

Could highlight that x.reverse() doesn't return anything itself.

More emphasis could be given to the non-inclusive behaviour of slices (i.e. x[0:1] is the same as x[0]) since this can be a gotcha.

Ep 4

Filename has _copy in it - from where it was moved?

These key points seem off - dictionaries are now semi-ordered, and they're mutable.

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