Take the example from the hands-on session on functional programming using map/filter/reduce and rewrite it using idiomatic numpy. Explain how this numpy code relates to the Python implementation using map/filter/reduce. Why can numpy boost performance and why is the way that numpy is implemented so useful?
Take the example from the hands-on session on functional programming using map/filter/reduce and rewrite it using idiomatic numpy. Explain how this numpy code relates to the Python implementation using map/filter/reduce. Why can numpy boost performance and why is the way that numpy is implemented so useful?
For those who don't know numpy yet, have a look here: [numpy for beginners](https://numpy.org/doc/stable/user/absolute_beginners.html)
Next week we will randomly select some participants to present and discuss their solutions.
Next week we will randomly select some participants to present and discuss their solutions.