The Julia Programming Language Courses

Going Beyond Graphs - Simplicial, Hyper, and Relational Structure

Explore advanced mathematical structures beyond traditional graphs including simplicial complexes, hypergraphs, and relational frameworks using Julia.

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

Rational Function Approximation in Julia

Discover rational function approximation techniques and implementations using Julia programming language for numerical computing applications.

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

Quasar.jl - A Pure Julia Parser for OpenQASM 3

Discover Quasar.jl, a pure Julia parser for OpenQASM 3 that converts quantum circuit instructions for execution on real hardware or simulators, addressing key community needs.

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

Finch.jl - Flexible and Efficient Sparse Tensor Programming

Discover Finch.jl, a state-of-the-art sparse tensor framework that automatically generates efficient, fused kernels for high-performance sparse array programming in Julia.

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

Binsparse - A Specification for Cross-Platform Storage of Sparse Matrices and Tensors

Discover Binsparse, a cross-platform binary format for efficient sparse matrix storage, offering 26.5x faster reads and 2.4x smaller files than text-based formats.

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

Building an End-to-End Spectral Reduction Pipeline for APOGEE

Master Julia programming to build a complete spectral data reduction pipeline for astronomical observations using APOGEE survey techniques.

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

ParameterEstimation.jl - Algebraic Parameter Estimation in ODEs

Discover algebraic parameter estimation in ODEs using ParameterEstimation.jl, replacing optimization with algebraic systems and Gaussian Process Regression for noise robustness.

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

Gausslets, Molecular Hamiltonians, and Tensor Network Methods

Explore gausslets for molecular Hamiltonians using Julia, combining wavelet transformations with tensor networks to improve quantum chemistry computational scalability and sparsity.

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

Nodariety - Graphs, Theories, and Graph Theory

Discover the origin story and functionality of Nodariety.jl, a Julia package exploring graphs and graph theory through practical demonstrations and code examples.

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

Applying Taylor Mode AD in Nonlinear Equations, ODEs and More

Explore Taylor mode automatic differentiation in Julia for solving nonlinear equations and ODEs with enhanced efficiency, stability, and cubic convergence methods.

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

Cox Model Go Brrr - A Journey to Performance

Discover how to optimize Cox model implementation in Julia, achieving performance gains through manual derivatives, custom solvers, and allocation reduction techniques.

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

TulipaEnergyModel.jl - Tooling for the Energy Transition

Discover TulipaEnergyModel.jl, an open-source Julia toolkit for modeling European-scale energy systems with high spatial-temporal detail to support sustainable energy transition decisions.

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

Optimization with JuMP - Mathematical Programming and Performance Tips

Master mathematical optimization using JuMP to solve integer linear, nonlinear, conic, and constraint problems with performance tips for large-scale models.

• YouTube
• 1 hour
• Self-Paced
• Free Video

QuantumToolbox.jl - Efficient Simulation of Open Quantum Systems

Discover how QuantumToolbox.jl brings Python's QuTiP functionality to Julia for high-performance quantum system simulations with GPU acceleration and automatic differentiation.

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

Property Testing Julia Code - How to Overcome Bugs and Learn to Love Randomness

Discover property-based testing in Julia with Supposition.jl to overcome traditional testing limitations and improve code quality through randomized testing approaches.

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