From the start of the introduction (and later continued into premature optimisation sub-section)
For example, if your code is spending 60 seconds waiting to download data files and then 1 second to analyse that data, then optimizing your data analysis code won’t make much of a difference.
An Amdahl's law graph should be included as a visual explanation to this within the introduction. It refers to speedup, but is more commonly used when talking about parallel speedup so will need to generate our own graph with matplotlib (I think there's already a graph script that was used to produce the list growth graph in the repo).
https://en.wikipedia.org/wiki/Amdahl%27s_law
From the start of the introduction (and later continued into premature optimisation sub-section)
An Amdahl's law graph should be included as a visual explanation to this within the introduction. It refers to speedup, but is more commonly used when talking about parallel speedup so will need to generate our own graph with matplotlib (I think there's already a graph script that was used to produce the list growth graph in the repo).
https://en.wikipedia.org/wiki/Amdahl%27s_law