Talk Julia

Valentin Churavy joins us to talk about the challenges facing organizers of virtual conferences and what he and the JuliaCon 2022 organizers did to meet those challenges and pull off a successful virtual conference. We also chat about some of our favorite talks from JuliaCon 2022, and dig into Valentin's background in cognitive science and distributed computing. Support Talk Julia on Ko-Fi We're excited to announce that we have opened up podcast memberships! Become a member for as little as $5/mo to get early access to episodes, social media shoutouts, and, starting at $10/mo and up, access to a members-only "office hours" call. Your support helps us continue to bring you interviews and educational Julia content each week. It also helps us grow sustainably and improve the quality of the podcast. Become a member today

Viral Shah, one of the co-creators of the Julia language, join hosts David and Randy to talk about how he got into programming, what led him and his fellow co-creators to create Julia, and his thoughts on the present state and future of the language. Special Guest: Viral Shah.

David and Randy respond to an article that makes the case for JAX over Julia for machine learning, particularly when applied to solving differential equations. David also shares a series of workshops hosted by the Julia Gender Inclusive community, as well as a new package by Elias Carvalho for creating truth tables from Julia expressions, and Randy explores a YouTube series and set of Pluto notebooks all about partially observable Markov processes. Support Talk Julia on Ko-Fi We're excited to announce that we have opened up podcast memberships! Become a member for as little as $5/mo to get early access to episodes, social media shoutouts, and, starting at $10/mo and up, access to a members-only "office hours" call. Your support helps us continue to bring you interviews and educational Julia content each week. It also helps us grow sustainably and improve the quality of the podcast. Become a member today

David and Randy explore Julia's plotting ecosystem and discuss plotting in Julia using Plots.jl, GadFly.jl, VegaLite.jl, Makie.jl, and more. Support Talk Julia on Ko-Fi We're excited to announce that we have opened up podcast memberships! Become a member for as little as $5/mo to get early access to episodes, social media shoutouts, and, starting at $10/mo and up, access to a members-only "office hours" call. Your support helps us continue to bring you interviews and educational Julia content each week. It also helps us grow sustainably and improve the quality of the podcast. Become a member today

Bogumił Kamiński discusses his new book Julia For Data Analysis (Manning) and his work on the DataFrames.jl package.

JuMP.jl is a an optimization library written entirely in the Julia language. And it's FAST! JuMP co-creator Miles Lubin join hosts David Amos and Randy Davila to discuss the inspiration behind JuMP, how JuMP become a NumFOCUS sponsored project, the journey to JuMP's version 1.0 release, and the future of the project. Special Guest: Miles Lubin.

Once you experience the Julia REPL, it's hard to go back to anything else. Join hosts David Amos and Randy Davila as we explore the Julia REPL with Julia's official REPL stan Miguel Raz. Miguel shares his Julia story, how Julia is being used in undergraduate courses at Mexico's UNAM, reflects on the willingness of the Julia community to collaborate with other language communities, and teaches us some nifty Julia REPL tips and tricks. Enjoying Talk Julia? We're excited to announce that we have opened up podcast memberships! Become a member for as little as $5/mo to get early access to episodes, social media shoutouts, and, starting at $10/mo and up, access to a members-only "office hours" call. Your support helps us continue to bring you interviews and educational Julia content each week. It also helps us grow sustainably and improve the quality of the podcast. Become a member today

Talk Julia co-host Randy Davila talks about his automated conjecturing program Christy.jl and how he uses it to generate new research problems in graph theory and mathematics using artificial intelligence. Learn how automated conjecturing works, how Randy got into it, and how Christy.jl can be used to generate problems and potential relations in other domains, too.

Logan Kilpatrick discusses his role at the Julia Project, his journey to becoming a Julia developer, and his thoughts on how we can better serve the Julia community and help boost adoption.

This week on Talk Julia, David and Randy share and explore resources from around the Julia community all about file input and output and beautiful terminal output. You'll learn how to read and write files in Julia, work the the filesystem, and see how packages like FIGlet.jl and Term.jl can take command line applications to the next level.

Visual Studio Code (VS Code) is a popular code editor from Microsoft, and the Julia VS Code extension makes working with Julia in VS Code a real treat. Learn how to install Julia, VS Code, the Julia VS Code extension, and how to use the Julia VS Code extension features to create a robust and fluid Julia development environment.

David and Randy explore deep neural networks in Julia using Flux.jl by recreating Grant Sanderson's model for predicting handwritten digits in the MNIST data set. We also show how to visualize model results and training performance in TensorBoard using the TensorBoardLogging.jl package.

Flux.jl is Julia's elegant machine learning library, but its API is a little different than Tensorflow or PyTorch. This week on Talk Julia, David and Randy dive into Flux.jl, explore some of the big differences between Flux and Python's machine learning libraries, and offer up some tips and tricks for learning Flux if you're coming to it from another ecosystem.

David and Randy take a look at reinforcement learning in Julia by diving into the ReinforcementLearning.jl package. We talk a little bit about what reinforcement learning is, as well as our thoughts on ReinforcementLearning.jl's design, which taps into Julia's multiple dispatch system. 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.

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. 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.

David and Randy explore graph theory with Juli. We learn how to use the Graphs.jl Julia package to create graph data structures, and the JuMP.jl package to calculate NP-hard and NP-complete properties of the graphs. This week we also share a bunch of amazing things that our listeners are building in Julia. Thanks to everyone that shared your projects with us! Check out the Twitter thread (https://twitter.com/talkjuliapod/status/1489255938737410051) to see what everyone is working on. Episode links are available in the show notes on our website ➡ https://www.talkjulia.com/6 (https://www.talkjulia/6) 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.

David and Randy share some of their thoughts on functions, methods, and multiple dispatch in Julia from the perspective as new users coming to Julia from Python. Learn how Julia's type declarations and multiple dispatch system allow you to redefine functions with different behavior depending on the types of their arguments and explore some of the differences between functions in Julia and functions in Python.

David and Randy explore Julia packages for reading, writing, and manipulating music and MIDI files, discuss whether or not Julia should be taught as the primary language in a machine learning course, an amazing Julia resource for Pythonistas, and a whole lot more. 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. Subscribe to our YouTube channel (https://www.youtube.com/channel/UCqyyHX2p543yKxUNWCPCMbw) to watch video versions of the podcast, and follow us on Twitter (https://twitter.com/talkjuliapod) for updates on the show and to connect with David and Randy.

This week on Talk Julia, David and Randy discuss the a cuter alternative to the Iris dataset for teaching machine learning: PalmerPenguin.jl. We also dive into some awesome features of Julia's package manager — namely stacked environments — an awesome You Tube channel for learning Julia, and what the difference between using and import is when importing a package into your project. 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.

Are you you thinking about learning the Julia programming language and you're already fluent in another language, such as R, Python, or MATLAB? In this week's episode, we explore tips, ticks, and resources to help you get up to speed with the Julia language as quickly as possible. 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.

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. This is the first episode of Talk Julia. Learn why we're excited about Julia and what we'll be talking about in future episodes. New episodes will be available every Friday here on YouTube as well as your favorite podcast app.