In this episode we continue our journey into the Julia programming language and dive a little deeper into some aspects of Julia. For that reason I met with 2 engineers: Jarvis Frost from Imperial College and Lyndon White from InveniaLabs. Both wrote a lot of Julia code and we discuss some of the projects they have worked on.The projects in question:Jarvis' project example: Polaron Mobility-  https://github.com/jarvist/PolaronMobility.jl    Differentiation with Julia - https://github.com/JuliaDiff   - https://discourse.julialang.org/t/state-of-automatic-differentiation-in-julia/43083Lyndon's project: NamedDims - https://github.com/invenia/NamedDims.jl  Named Tensor post (mentioned in episode) by Alexander Rush http://nlp.seas.harvard.edu/NamedTensor  Other links you might find interestingComposing code with Julia https://www.oxinabox.net/2020/02/09/whycompositionaljulia.html Multiple Dispatch comparison https://medium.com/swlh/how-julia-uses-multiple-dispatch-to-beat-python-8fab888bb4d8Flux Julia package https://fluxml.ai/Flux.jl/stable/ Linear Algebra/Julia https://docs.julialang.org/en/v1/stdlib/LinearAlgebra/Get in touchThank you for listening! Merci de votre écoute! Vielen Dank für´s Zuhören! Contact Details/ Coordonnées / Kontakt: Email mailto:[email protected] UK RSE Slack (ukrse.slack.com): @code4thought or @piddie Bluesky: https://bsky.app/profile/code4thought.bsky.social LinkedIn: https://www.linkedin.com/in/pweschmidt/ (personal Profile)LinkedIn: https://www.linkedin.com/company/codeforthought/ (Code for Thought Profile) This podcast is licensed under the Creative Commons Licence: https://creativecommons.org/licenses/by-sa/4.0/

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