Packages and Software Engineering in Julia¶

This part of the course provides more details on the Julia programming language, its ecosystem, and core software engineering tools

Lectures¶

• Generic Programming
  • Overview
  • Exploring Type Trees
  • Distributions
  • Numbers and Algebraic Structures
  • Reals and Algebraic Structures
  • Functions, and Function-Like Types
  • Limitations of Dispatching on Abstract Types
  • Exercises
• General Purpose Packages
  • Overview
  • Numerical Integration
  • Interpolation
  • Linear Algebra
  • General Tools
• Data and Statistics Packages
  • Overview
  • DataFrames
  • Statistics and Econometrics
• Solvers, Optimizers, and Automatic Differentiation
  • Overview
  • Introduction to Differentiable Programming
  • Optimization
  • Systems of Equations and Least Squares
  • LeastSquaresOptim.jl
  • Additional Notes
  • Exercises
• Julia Tools and Editors
  • Preliminary Setup
  • The REPL
  • Atom
  • Package Environments
• Git, GitHub, and Version Control
  • Setup
  • Basic Objects
  • Individual Workflow
  • Collaborative Work
  • Collaboration via Pull Request
  • Additional Resources and Troubleshooting
  • Exercises
• Packages, Testing, and Continuous Integration
  • Project Setup
  • Project Structure
  • Project Workflow
  • Unit Testing
  • Continuous Integration with Travis
  • Code Coverage
  • Pull Requests to External Julia Projects
  • Benchmarking
  • Additional Notes
  • Review
  • Exercises
• The Need for Speed
  • Overview
  • Understanding Multiple Dispatch in Julia
  • Foundations
  • JIT Compilation in Julia
  • Fast and Slow Julia Code
  • Further Comments