Journeys through JuPyteR

on YouTube ↗29m

" summary

Rewrites Tariq Rashid’s Python neural‑net code into R and Julia, trains on MNIST and reaches 97% accuracy with the reference single‑hidden‑layer network. Benchmarks include a card‑shuffle Monte Carlo (Python ~44s, R ~14s, Julia ~7s) and the neural net where Python outperforms Julia and R. Investigation pins R’s slowdowns on garbage collection and default float64 behavior; Julia’s differences come from less vectorization and compilation/profiling quirks. Code and examples live on the GitHub links.

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" chapters (7)

1. 0:00JuPyteR languages intro
2. 3:55Case study: card matching
3. 10:17Case study: neural network
4. 15:46R performance surprises
5. 21:12Julia vs Python performance
6. 23:41Language choice thoughts
7. 27:32Q&A

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