The Julia Programming Language Courses

ShellFEA.jl - A Shell Finite Element Library for Ferrite.jl

Discover ShellFEA.jl, a specialized finite element library for modeling thin-walled structures with membrane and bending behavior, integrating seamlessly with Ferrite.jl's high-performance FEM infrastructure.

• YouTube
• 20 minutes
• Self-Paced
• Free Video

A Tale of Two Multigrids - A Case Study on Algebraic and Polynomial Multigrid Methods

Explore hybrid multigrid strategies combining Algebraic and Polynomial Multigrid methods for efficient high-order finite element solving in Julia's FerriteMultigrid.jl package.

• YouTube
• 15 minutes
• Self-Paced
• Free Video

Ferrite.jl - True Vector Interpolations for H(div) and H(curl) Spaces

Discover how Ferrite.jl now supports H(div) and H(curl) vector interpolations for advanced finite element problems in electromagnetic and fluid dynamics applications.

• YouTube
• 19 minutes
• Self-Paced
• Free Video

Ensemble Kalman Filtering for Stochastic Phase Field Models

Discover how Ensemble Kalman Filtering reduces uncertainty in stochastic phase field models of brittle fracture using Julia's scientific computing ecosystem.

• YouTube
• 16 minutes
• Self-Paced
• Free Video

Current Applications of Ferrite.jl

Explore real-world applications of Ferrite.jl for advanced finite element simulations, uncertainty quantification, and topology optimization in continuum mechanics research.

• YouTube
• 19 minutes
• Self-Paced
• Free Video

Reviving OpenCL.jl for CPU Glory

Discover how to modernize OpenCL.jl for enhanced CPU performance using PoCL, SPIR-V compilation, and KernelAbstractions.jl integration in Julia programming.

• YouTube
• 26 minutes
• Self-Paced
• Free Video

Why Are Float Ranges So Hard, and Can We Do Better?

Explore the mathematical complexities of floating-point ranges in Julia and discover advanced algorithms for optimal rational interpretations using linear programming and fraction theory.

• YouTube
• 26 minutes
• Self-Paced
• Free Video

FreeBird.jl - An Extensible Toolbox for Surface Phase Equilibria

Discover FreeBird.jl, an extensible Julia platform for studying phase equilibria in interfacial systems using walkers, sampling schemes, and statistical thermodynamics analysis.

• YouTube
• 10 minutes
• Self-Paced
• Free Video

Typstry.jl - The Julia to Typst Interface

Discover how to integrate Typst typesetting with Julia using Typstry.jl for seamless document generation, formatting, and rendering with custom string macros and CLI integration.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

Julia in Nginx - Embedding Julia in Web Server Applications

Explore how to embed Julia in nginx web servers, replacing Lua with Julia's powerful ecosystem for building web gateways, proxies, and WAFs through a custom C module implementation.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

Lead, Follow, or Get Out of the Way - Julia and Threaded Python

Explore Julia-Python interoperability challenges, threading complexities, and practical workarounds for creating high-performance Python wrappers around Julia packages.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

Introducing Quarto's Native Julia Engine - Easier, Faster, Better

Discover Quarto's new native Julia engine that eliminates Python dependencies, enables expandable cells, and supports R integration for seamless computational document creation.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

Improving Julia's Scheduler - One Task at a Time

Dive into Julia's task-based parallelism scheduler improvements, exploring user-space scheduling, performance optimizations, and writing cooperative code for better efficiency.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

Liquid Crystal Modeling - Thermodynamics and Numerical Methods

Explore thermodynamically consistent liquid crystal modeling using Julia's hybrid lattice Boltzmann methods to predict complex patterns and behaviors in 2D/3D systems.

• YouTube
• 11 minutes
• Self-Paced
• Free Video

TaskGroups - Reusable Worker Pools

Discover TaskGroups, a high-level multi-threading abstraction for creating reusable worker pools in Julia, presented by Kiran Pamnany from Relational AI at JuliaCon Global 2025.

• YouTube
• 11 minutes
• Self-Paced
• Free Video