Podcast: Code for Thought
Erschienen: 11.05.2021
Dauer: 00:32:59
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/Support the showThank you for listening and your ongoing support. It means the world to us! You can also support our efforts by leaving a rating or review.Follow or contact us on Email mailto:code4thought@proton.me Patreon https://www.patreon.com/codeforthought Slack (ukrse.slack.com): @code4thought Mastadon: @code4thought@fosstodon.org LinkedIn: https://www.linkedin.com/in/pweschmidt/ This podcast is licensed under the Creative Commons Licence: https://creativecommons.org/licenses/by-sa/4.0/
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