Natural Science, Computer Modeling and Literate Programming

Explore the intersection of natural science, computer modeling, and literate programming in this JuliaCon 2024 talk by Johan Hidding. Discover how the Entangled system addresses reproducibility concerns in scientific research by synchronizing code blocks and executable code. Learn about the advantages of this approach over traditional literate programming techniques like Jupyter, RMarkdown, and Julia-specific tools. Examine a practical example from Earth Sciences using the CarboKitten.jl package, which simulates carbonate reef platform formation. Gain insights into how literate programming can promote the adoption of Julia in geoscience fields currently dominated by Matlab. Understand the potential of Entangled for creating self-evaluating journal papers and maintaining code quality in scientific computing.