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This week we asked Julia Twitter what their favorite Julia packages are, and the responses don't disappoint! We picked two packages to investigate this week: Randy dives into DataFrames.jl and David explores the amazing Revise.jl package. See the Twitter thread here 👉 / 1490786858858696705 Randy also shares an example of building a single neuron machine learning model from scratch in Julia, and David talks about some animations he made this week using Javis.jl. Episode links are available in the show notes on our website ➡ https://www.talkjulia.com/7 EPISODE CHAPTERS 00:00 — Introduction 00:04 — The best Julia packages according to Twitter 01:24 — Randy shows off DataFrames.jl 13:01 — David really loves Revise.jl 19:06 — Randy builds a single neuron model from scratch 25:28 – David makes animations with Javis.jl 32:20 – Goodbye ABOUT THE SHOW Talk Julia is a weekly podcast devoted to the Julia programming language. Join hosts David Amos and Randy Davila as we explore Julia news and resources, learn Julia for ourselves, and share our experience and everything that we've learned. Check out our website ➡ https://www.talkjulia.com Connect with us on Twitter ➡ / talkjuliapod ✨ HELP SUPPORT THE SHOW ✨ If you get value from listening to our podcast each week and would like to support us, you can help us out for free by simply telling someone you know to check out our show. But if you'd like to support us financially then... Wow! Thank you so much 🙏🏼 Here are two ways to do that: Tip us on Ko-Fi ➡ https://ko-fi.com/talkjuliapodcast Set up a recurring donation on Liberapay ➡ https://liberapay.com/TalkJulia/ For other ways to support the show, see https://www.talkjulia.com/donate OTHER LINKS David's YouTube channel ➡ / davidamos Randy's YouTube channel ➡ / randydavila1 #JuliaProgramming #JuliaLang #JuliaComputing #Julia #LearnJulia #MachineLearning #DataFrames