Today we're joined by Jesper and Philip from Cognibotics, a Swedish robotics company that has (co-)developed something truly unique: Juliet, a statically-typed dialect of Julia designed specifically for real-time robot programming, along with its runtime system Romeo. Our guests share their personal journeys to Julia and explain how they've adapted the language for industrial robotics applications. They introduce us to Juliet's fascinating features, including static typing, real-time garbage collection, and perhaps most impressively, reversible robot programming that allows forward and backward program stepping for interactive debugging. The conversation explores how they use multiple dispatch for hardware abstraction across different robot backends and hardware targets, their partnership with Chinese robot manufacturer Estun for real-world deployment, and their approach to real-time systems programming. Jesper and Philip also discuss the technical challenges they've overcome, including optimization constraints and the limitations they've had to accept when adapting multiple dispatch for real-time environments. They share their plans for open source access, educational applications including course development at Lund University, and how their work bridges the gap between academic research and industrial automation.

Jesper and Philip are developers at Cognibotics, a Swedish robotics company focused on advanced robot programming solutions. Their work centers around Juliet, a statically-typed dialect of Julia they've created specifically for real-time robot programming, paired with the Romeo runtime system. Cognibotics has formed partnerships with industrial robot manufacturers including Estun, bringing their innovative programming approach to real-world manufacturing applications. The company is also developing educational programs, including plans for courses at Lund University and beta program access for researchers and developers interested in real-time Julia applications.

Cognibotics: https://www.cognibotics.com/en

Juliet & Romeo: https://www.cognibotics.com/en/products/juliet-and-romeo

Lund University: https://www.lunduniversity.lu.se/

Recorded on: 2025/06/06

Hosts: Chris Rackauckas, Michael Tiemann

Editor: Stazi

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In this episode, Chris Rackauckas and Michael Tiemann welcome back Firoozeh Dastur, a theoretical mathematician and PhD candidate from Germany working on tropical geometry. This marks the first time someone has returned to the Julia Dispatch podcast! Firoozeh shares her journey from Pakistan to Germany, her pivot from K3 surfaces to tropical geometry, and how she discovered Julia during the pandemic. She explains what tropical geometry is, her early struggles with Julia, and how the Julia Slack community became crucial to her learning process. The conversation then shifts to her work on computational algebra and HPC workflows, where she discusses the frustrations with existing HPC tools that led her to develop DistributedWorkflows.jl. She introduces us to Petri nets as an alternative to DAGs for managing cyclic workflows and explains how her package aims to make HPC accessible to everyone. Firoozeh also shares insights about overcoming perfectionism in open source development, the importance of releasing early (inspired by Airbnb's launch story), and her thoughts on differential equations as Turing complete systems.

Firoozeh Dastur is a theoretical mathematician specializing in algebraic and tropical geometry with a strong focus on leveraging computer algebra systems for advanced mathematical research. Her other interests include high-performance computing (HPC) tools, with a particular goal of making distributed computing accessible to all domain scientists. As a passionate educator, Firoozeh is committed to fostering an inclusive learning environment that empowers the next generation of researchers and innovators. In her spare time, she develops Julia libraries that reflect her interests in distributed computing and computer algebra systems.

DistributedWorkflows.jl: https://github.com/JuliaServices/DistributedWorkflows.jl

Julia Slack community: https://julialang.org/slack/

NEMO.jl: https://github.com/Nemocas/Nemo.jl

Oscar.jl: https://github.com/oscar-system/Oscar.jl

SPACK: https://spack.io/

Recorded on: 2025/05/20

Hosts: Chris Rackauckas, Michael Tiemann

Editor: Stazi

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Chris and Guillaume discuss the contents of the "This month in Julia world - 2025-08". We cover the upcoming JuliaCon Local Paris event, Julia 1.12 beta release updates, major compiler improvements with JuliaLowering.jl, performance optimization discoveries, and ecosystem growth with new packages like TestPicker.jl, BorrowChecker.jl, and AI integration tools. We also dive deep into technical discussions about optional modules, static arrays, and the ongoing focus on reducing latency across the Julia ecosystem.

This month in Julia world - 2025-08: https://discourse.julialang.org/t/this-month-in-julia-world-2025-04/128859

Recorded on: 2025/05/13

Hosts: Chris Rackauckas, Guillaume Dalle

Editor: Stazi

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Good morning, good evening, good night, wherever you are in the world! Today we welcome Jacob Zelko, who takes us on a fascinating journey from his early days as a biomedical engineering student through his work at the CDC during the COVID-19 pandemic, and into his current exploration of applied category theory. Jacob shares how his pandemic response work led him to seek more fundamental approaches to public health problems, ultimately discovering category theory as a potential framework for composing different models and analyses. We also dive into his role as leader of the Julia Health Organization, his experience as a Twitch streamer known as "The Cedar Prince," and his vision for using Julia to bridge the gap between high-performance computing and accessible health research tools.

Jacob Scott Zelko is a MS student in Applied Mathematics at Northeastern University (NEU) and a trainee of NEU's Roux Institute. Prior to this, he has worked for Georgia Tech Research Institute as a Health Data Analytics and Informatics Researcher and as a Research Engineer for the Centers for Disease Control Office of Science. In the Julia community, he is the leader of the JuliaHealth organization, a community of Julia developers who use the Julia programming language to improve medicine, health care, public health, and biomedical research. Additionally, he is the co-admin for the Julia Language's GSoC program and is the Community Manager for the AlgebraicJulia ecosystem.

Julia Health Organization: https://juliahealth.org/

Jacob's personal website: https://jacobzelko.com/

Jacob's GitHub: https://github.com/TheCedarPrince

Recorded on: 2025/05/07

Hosts: Chris Rackauckas, Michael Tiemann

Editor: Stazi

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Join Chris Rackauckas and Stefan Krastanov as they explore the latest developments in the Julia programming language ecosystem from the March 2025 "This Month in Julia World" newsletter.Link to the newsletter: https://discourse.julialang.org/t/this-month-in-julia-world-2025-03/127821🔥 Key Topics Covered:Julia 1.12 Beta 1: Major features including experimental --trim for smaller binaries, stackless compiler improvements, and new threading defaultsBLAS Lazy Loading: Groundbreaking changes to reduce startup time and memory consumption by loading linear algebra libraries on-demandREPL Improvements: Complete overhaul of auto-completion using the new Julia syntax parser, fixing numerous long-standing bugsPerformance Enhancements: Invalidation reduction efforts, faster code coverage, and compiler optimizationsEcosystem Updates: Julia on Google Colab with TPU support, Documenter.jl public keyword filtering, AlgebraOfGraphics.jl v0.10🚀 Highlights:How the new --trim flag enables dramatically smaller Julia binariesWhy BLAS lazy loading is a game-changer for startup performanceThe transition from Lisp-based to pure Julia parsing infrastructureReal-world impact of compiler improvements on large symbolic expressionsJulia running natively on TPUs through Reactant.jl📅 Upcoming Events:JuliaCon Local Paris (October 2025)Quantum Information Science Summer School in Amherst (June 2025)RUST Julia Meetup in EindhovenPerfect for Julia developers, data scientists, and anyone interested in high-performance computing and the latest language developments. Whether you're a beginner or advanced user, you'll find valuable insights into Julia's evolving ecosystem.#Julia #Programming #HighPerformanceComputing #OpenSource #datascience Recorded on: 2025/04/24Hosts: Chris Rackauckas, Stefan KrastanovEditor: StaziFind us everywhere:https://juliadispatch.fmhttps://github.com/JuliaDispatch/https://www.youtube.com/@JuliaDispatchhttps://anchor.fm/s/fc63539c/podcast/rss

Today, we're joined by Stefan Krastanov who is not only the main developer of QuantumClifford.jl, but also the author of the "This month in Julia world" newsletter. Stefan shares with us what passions him about physics, the combination of mathematical concepts and hands-on signal processing and what attracted him to Julia. And he confides in us how the Julia newsletter is a productive form of procrastination, how his own appreciation and understanding grew from being the newsletter editor, and how important it is to improve the communication and documentation to make a technology appealing, in particular to new comers.

Stefan Krastanov is an assistant professor of at the University of Massachusetts Amherst. Before that, he was a postdoc at MIT/Harvard and obtained his PhD in physics at the Yale Quantum Institute. Stefan works on the design, control, and optimization of quantum hardware for computation and networking, from its analog physical description up to the compilation of error-corrected logical circuitry running on it. His research centers around leaky abstraction boundaries between the many layers of technologies making up the field of quantum computing and quantum information science. To this end, he has authored multiple related Julia packages. And Stefan is the author of the "This month in Julia world" newsletter.

Recorded on 2025/04/09

Hosts: Chris Rackauckas, Michael Tiemann

Editor: Stazi

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We're back from our surprising hiatus with a very exciting round: Firoozeh, Leticia and Skylar. Their Julia journeys crossed in their engagement with the Julia Gender Inclusive and DEI (diversity, equity, and inclusion) initiatives. We briefly talk about their personal stories before delving into the inclusiveness topic. We discuss the impression and perspective of female participants at a so far male-dominated JuliaCon. The ladies share with us all the activities they have been involved in. And we dive into what problem's they perceive and how everybody in the community can help make Julia a more inclusive community.

Firoozeh Dastur is a theoretical mathematician specializing in algebraic and tropical geometry with a strong focus on leveraging computer algebra systems for advanced mathematical research. Her other interests include high-performance computing (HPC) tools, with a particular goal of making distributed computing accessible to all domain scientists. As a passionate educator, Firoozeh is committed to fostering an inclusive learning environment that empowers the next generation of researchers and innovators. In her spare time, she develops Julia libraries that reflect her interests in distributed computing and computer algebra systems.

Leticia Madureira is a PhD candidate in Chemistry at Carnegie Mellon University. Her research lies in the computational quantum chemistry field, applying electronic structure methods to elucidate interactions in chemical processes, such as polymerization reactions, photodegradation, etc. She currently collaborates with the Julia Lab in developing fast, free, open-source and efficient computer programs for electronic structure calculations, and expanding the scope of current methods available in the programming language. Some of the packages under development are: BasisSets.jl, OohataHuzinaga.jl, under the HartreeFoca GitHub organization. She aims to leverage computational studies to investigate theoretical paradigms in Chemistry by developing quantum chemical DFT-based algorithms capable of accurately computing electron-electron correlation in molecules through stability analysis of SCF, enabling broader exploration of transition-state theory, excited state dynamics, ground state geometry predictions and bond dissociation calculations. One of her main philosophies is to make theory and computation as accessible as possible, and to promote computational thinking in Chemistry through teaching, as she thinks quality education is an empowerment tool to the current and next generations of scientists, and teaching is the most noble academic activity!

Skylar Gering is a PhD student through the Massachusetts Institute of Technology and Woods Hole Oceanographic Institute Joint Program. Her research is focused on environmental fluid mechanics, specifically the performance and control of floating offshore wind turbines. She previously worked on climate and sea ice modeling, which led her to start using Julia. She is also a contributor to the computational geometry library GeometryOps.jl. Beyond her research, she is passionate about climate change solutions and promoting equality in scientific/software communities.

Julia Gender Inclusive website: https://juliagenderinclusive.github.io/

Leticia's YouTube channel: https://www.youtube.com/@leticiamadureira4023

We're still in the process of ironing out our technical gear and setup as you might have noticed. Bear with us. Eventually, we'll have figured it out.

Recorded on: 2025/01/04

Hosts: Chris Rackauckas, Michael Tiemann

Editor: Stazi

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Today, we start a new series. Chris and Michael discuss the contents of the "This month in Julia world - 2025-02". We cover enhancements to Revise.jl, the introduction of JET.jl as a new language server, advancements in compiling Julia for embedded systems, challenges with multi-threading, improvements in the package manager, and the refactoring of the Julia compiler.

We plan to make this a regular feature. Please let us know what you think about the format.

This month in Julia world - 2025-02: https://discourse.julialang.org/t/this-month-in-julia-world-2025-02/126783

Recorded on: 2025/03/21

Hosts: Chris Rackauckas, Michael Tiemann

Editor: Stazi

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Today we're joined by Simon Christ who is "the computer guy in a biological department". Moving from rock solid C, advancing to C++, he discovered Julia when he had been frustrated enough by his prior programming experiences. Simon has fixed the PGF backend for Plots.jl and as time goes by found himself among the current project leads. Simon shares with us his experience about maturing and maintaining a foundational package in the ecosystem and why now it's the right time to work on a major version update. We also talk about the Plots.jl publication, the importance of reproducible science and package maintenance, and which colors should not be on plots.

Simon Christ is a research software engineer at the Computational Biology department of the Institute of Cell Biology and Biophysics at the Leibniz University of Hannover. He has obtained a PhD in theoretical biological physics in 2020. Simon is one of the maintainers of Plots.jl, one of the most well-known plotting libraries in Julia. He has also published a paper about Plots.jl in the Journal of Open Research Software.

Plots.jl: https://github.com/JuliaPlots/Plots.jl

Plots.jl paper: https://doi.org/10.5334/jors.431

Plots.jl Zulip channel: https://julialang.zulipchat.com/#narrow/channel/236493-plots.2Ejl

Simon's Github account: https://github.com/BeastyBlacksmith

Huge thanks to Jürgen Fuhrmann and the Weierstrass Institute Berlin for hosting Simon and Chris during the recording.

Jürgen's homepage: https://www.wias-berlin.de/people/fuhrmann/?lang=1

Weierstrass Institute's homepage: https://www.wias-berlin.de

Recorded on: 2025/01/14

Hosts: Chris Rackauckas, Michael Tiemann

Editor: Stazi

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This is a special episode of the Julia Dispatch podcast where we have a panel discussion with climate scientists and Earth observation specialists to talk about Julia. In this episode we talk with a litany of experts in climate modeling, satellite data analysis, and data visualization a multitude of questions like: what inroads has Julia made into the climate sciences community? What are Julia's strengths in this domain? What are the weaknesses and how are they looking to be addressed? What is the current state of climate models being built in Julia and how are they performing against Fortran baselines? And what is the future of large-scale data visualization tools in Julia? Specifically we focus on tools like SpeedyWeather.jl, Makie.jl, Oceananigans.jl, NetCDF.jl, and many many more.

Recorded on: 2024/1/27

Hosts: Chris Rackauckas, Michael Tiemann

Editor: Stazi

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We start the year with a first: first time Chris and Michael meet a stranger through Julia Dispatch. Today, we have Kyle Conel on the show who is the main developer of the game engine JulGame. Kyle shares with us how an early passion about video games has made him switch majors in college to become a software developer. He talks about how he's learning by doing, how you can start in Julia with an object-oriented mind set and only later take full advantage of the multiple dispatch paradigm, and his plans to (eventually) publish a game developed in Julia to Steam.

Kyle Conel is a professional software engineer, currently working at Atlassian. In his spare time, though, his passion is game development. He's stumbled across Julia via a random Google search in 2021 and he's started to create a game engine in Julia. He shares his development progress and some insights via his social media accounts on Twitch and Youtube.

Apologies for the audio quality during the first 20 or so minutes of this episode. Michael needs to get better headphones.

JulGame.jl: https://github.com/Kyjor/JulGame.jl

JulGame Example Platformer: https://github.com/Kyjor/JulGame-Example

JulGame 0.1.0 tutorial playlist: https://www.youtube.com/watch?v=tJH5OA8iIGU&list=PLdRJdDFCl0uKyFQiZBIENYUh9s6iEgmJM

Kyle's YouTube channel: https://www.youtube.com/@Kyjor_

Kyle's Twitch channel: https://www.twitch.tv/kyjor/

Recorded on: 2024/12/27

Hosts: Chris Rackauckas, Michael Tiemann

Editor: Stazi

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It's our final episode-of this year. Today we are joined by Dr. Karandeep Singh who shares his story from gamer to doctor and how the realization "You can continue writing code-just do it in whatever field you go into" has led him to his current role. He then introduces us to the Tidyverse and Tidier.jl, tells us a bit about its origin story and how Tidier.jl being available in Julia might be another good reason to give Julia a try. And he explains how the features of Julia have given Tidier.jl a very Julian flavor.

In the academic world, Karandeep Singh, MD, MMSc is the Joan and Irwin Jacobs Chancellor’s Endowed Chair in Digital Health Innovation and Associate Professor in Biomedical Informatics at UC San Diego, where he also serves as Chief Health AI Officer for UC San Diego Health. In these roles, Dr. Singh leads AI initiatives within the Jacobs Center for Health Innovation and oversees AI strategy and governance for the health system. In the Julia community, Dr. Singh has initiated the TidierOrg, an effort to bring R's Tidyverse ecosystem natively to Julia. Starting only in 2023, TidierOrg now reproduces many of the original Tidyverse's packages with extensive training material in the making.

Tidier.jl's homepage: https://tidierorg.github.io/Tidier.jl/stable/

Recorded on: 2024/11/25

Hosts: Chris Rackauckas, Michael Tiemann

Editor: Stazi

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Today, we're especially grateful for Guillaume's patience with us (it's pronounced Gi-yohm!). He shares his story going from beginner to maintainer in no time, discusses why it's so important to help each other without judgement, and reveals the surprising connection between Modern Julia Workflows and DifferentiationInterface.jl. We had a great time together chatting about open source software, and we're sure you will, too!

Guillaume Dalle specializes in machine learning and optimization. He is currently finishing his postdoc at EPFL and will soon become a permanent researcher at École des Ponts, near Paris. His PhD dissertation received the "Prix de thèse maths-entreprises", a national award for the best thesis in mathematics with industrial applications. Within the Julia community, his work on DifferentiationInterface.jl and the Modern Julia Workflows earned him the Julia Community Prize in 2024. You may also recognize him from his cheesy song parodies on YouTube, but he will deny everything if you ask.

Guillaume's home page: https://gdalle.github.io/

Modern Julia Workflows: https://modernjuliaworkflows.org/

DifferentiationInterface.jl: https://github.com/JuliaDiff/DifferentiationInterface.jl

JuliaCon talk "Gradients for everyone": https://www.youtube.com/watch?v=ww3ntpyxNtI

Guillaume's top secret YouTube channel: https://www.youtube.com/@PianoHamster

Recorded on: 2024/10/15

Hosts: Chris Rackauckas, Michael Tiemann

Editor: Stazi

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In this episode, we sit down with Παναγιώτης Γεωργακόπουλος. We discuss the evolution of the Pluto project and the user experience philosophy behind it. Παναγιώτης shares with us some of the technical and design challenges that come with it, but also how far reaching some of these principles can be. And we discuss, how open source projects and community development can come together and reinforce each other.

Παναγιώτης Γεωργακόπουλος is a software engineer hailing from Athens, Greece. In his own words: "I've been a software engineer, a business analyst, a consultant, a data entry intern, a waiter and a sailor." In 2020, he has started to contribute to the Pluto ecosystem and has continued to do so ever since. He's currently a software engineer at JuliaHub, working on JuliaSim, Pluto, Julia Web stuff and Ask.AI.

Link to the featured notebook: https://featured.plutojl.org/puzzles-games/dither.html

Link to Pluto multiplayer PR: https://github.com/fonsp/Pluto.jl/pull/2296

Recorded on: 2024/10/30

Hosts: Chris Rackauckas, Michael Tiemann

Editor: Stazi

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Today, we talk with someone who might or might not be the man himself, but is definitely one of the co-creators of the Julia programming language: Jeff Bezanson. Jeff shares with us some of the origin story of Julia and how multiple dispatch found its way into the language. Then, we dig a bit deeper into the recent advancements of static compilation of Julia. Jeff explains why we had to wait so long, what the difficult design decisions have been, and the additional hurdles that had to be cleared.

Jeff Bezanson is one of the reasons this podcast exists, because he is one of the co-creators of Julia. Together with his co-creators Stefan Karpinski, Viral Shah and Alan Edelman, he is also the co-founder of JuliaHub Inc. of which Jeff is currently the CTO. Together with Stefan and Viral, he was awarded the J. H. Wilkinson Prize for Numerical Software in 2019. He once stated that one of his favorite channels is hashtag gripes because he wants to know the pain points where Julia can still be improved the most.

The PR that brought Julia "the" static compiler: https://github.com/JuliaLang/julia/pull/55047

Recorded on: 2024/09/03 Hosts: Chris Rackauckas, Michael Tiemann Editor: Stazi

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Welcome back, friends! Today, we exchange with Alex and Yassin about their Google Summer of Code project working on Symbolics.jl. They tell us their road to Julia and to their joint Google Summer of Code project, more specifically. They discuss the motivation behind the project, the challenges they faced, and the progress they made. They also touch on the importance of open-source code and the future of symbolic computation in Julia. They also discuss the experience of remote collaboration and the future of Symbolics.jl.

Alexander Demin is a graduate student at École Polytechnique in Paris. He started using Julia around 2020 for prototyping computer algebra algorithms with Nemo.jl. He has since contributed several implementations to Julia, notably Groebner.jl and parts of StructuralIdentifiability.jl.

Yassin ElBedwihy is a second year communications engineering bachelors at Zewail city UST (University of Science and Technology) based in Cairo, Egypt. Recorded on: 2024/08/23 Hosts: Chris Rackauckas, Michael Tiemann Editor: Stazi Find us everywhere: https://juliadispatch.fm https://github.com/JuliaDispatch/ https://www.youtube.com/@JuliaDispatch https://anchor.fm/s/fc63539c/podcast/rss

Hello, world! In this first episode, we sit down with Dr. Tim Holy. He shares with us his origin story: how he has become an early Julia adopter, how Revise.jl and package pre-compilation was born and how we can create tools that help Julia developers to write high-quality code.

Tim Holy is the Alan A. and Edith L. Wolff Professor of Neuroscience at Washington University School of Medicine in St. Louis. In the Julia community, he is probably best known for his work on Revise.jl (>1k stars on Github) and for the Holy traits pattern which bear his name. He has made major contributions to Julia's array infrastructure, package precompilation, and developer tools like the profiler and the debugger. He started to contribute to Julia in 2012, had his 1024th PR merged in 2016 and has contributed in over 20 Julia organizations.

Recorded on: 2024/08/07

Hosts: Chris Rackauckas, Michael Tiemann

Editor: Stazi

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