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Python, OCaml, and Machine Learning with Laurent Mazare
Python, OCaml, and Machine Learning with Laurent Mazare
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)
Programmable hardware with Andy Ray: The ever-widening availability of FPGAs has opened the door to solving a broad set of performance-critical problems in hardware. In this episode, Ron speaks with Andy Ray, who leads Jane Street’s hardware design team. Andy has a long career prior to Jane Street shipping hardware designs for things like modems and video codecs. That work led him to create Hardcaml, a domain-specific language for expressing hardware designs. Ron and Andy talk about the current state-of-the-art in hardware tooling, the economics of FPGAs, and how the process of designing hardware can be improved by applying lessons from software engineering. You can find the transcript for this episode along with links to related work on our website, signalsandthreads.com. by Signals and Threads