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R for the Rest of Us Podcast Episode #18: Miles McBain
Manage episode 436759967 series 3564735
David Keyes에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 David Keyes 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
In this episode, I speak with Miles McBain, a data scientist and R package developer from Brisbane, Australia, about patterns and anti-patterns in data analysis reuse. Miles shares his journey from a generalist software developer to a data science specialist, his passion for R, and the evolution of his coding practices. We delve into the intricacies of code reuse in data analysis, discussing common pitfalls to avoid, the benefits of creating reusable code packages, the process of breaking down large codebases, and how teams can evolve their coding practices to enhance efficiency and maintainability.
Important resources mentioned:
- Patterns and anti-patterns of data analysis reuse blog post by Miles McBain
- Jenny Bryan’s talk ‘Code smells and feels’ presented during useR!2018
Connect with Miles McBain:
- Website: milesmcbain.xyz/
- GitHub: @milesmcbain
- Mastodon: https://fosstodon.org/@milesmcbain
Subscribe to our newsletter: https://rfortherestofus.com/newsletter
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