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Python, OCaml, and Machine Learning with Laurent Mazare

Python, OCaml, and Machine Learning with Laurent Mazare

FromSignals and Threads


Python, OCaml, and Machine Learning with Laurent Mazare

FromSignals and Threads

ratings:
Length:
60 minutes
Released:
Oct 7, 2020
Format:
Podcast episode

Description

A conversation with Laurent Mazare about how your choice of programming language interacts with the kind of work you do, and in particular about the tradeoffs between Python and OCaml when doing machine learning and data analysis. Ron and Laurent discuss the tradeoffs between working in a text editor and a Jupyter Notebook, the importance of visualization and interactivity, how tools and practices vary between language ecosystems, and how language features like borrow-checking in Rust and ref-counting in Swift and Python can make machine learning easier.You can find the transcript for this episode along with links to things we discussed on our website.
Released:
Oct 7, 2020
Format:
Podcast episode

Titles in the series (20)

Listen in on Jane Street’s Ron Minsky as he has conversations with engineers who are working on everything from clock synchronization to reliable multicast, build systems to reconfigurable hardware. Get a peek at how Jane Street approaches problems, and how those ideas relate to tech more broadly. You can find transcripts along with related links on our website at signalsandthreads.com.