Explains Docker Hub's new immutable tags feature, covering their benefits for reproducibility and how to configure them per repository.
A guide on using Positron IDE to SSH into local Docker containers for running R code, improving reproducibility and environment management.
Explains Deterministic Simulation Testing (DST) for debugging distributed systems by controlling randomness and time in a single-threaded, reproducible test environment.
A guide on capturing and formatting R session information (sessionInfo()) for reproducibility in blog posts and code sharing.
A data scientist shares a structured approach to starting data science projects, focusing on business goals, requirements, and avoiding common pitfalls.
A data scientist shares their workflow using the {drake} R package to manage dependencies and ensure reproducibility in long-term machine learning projects.
Survey of experimental methods used by authors at NeurIPS 2019 and ICLR 2020, focusing on hyperparameter tuning, baselines, and reproducibility.
A developer announces 'Reproman', a project to help others learn new tech skills by focusing on problem formulation, creating reproducible examples, and list-making.
A video series on transitioning from interactive Jupyter data exploration to reproducible, packaged, and tested code for data analysis.
A practical guide to creating a minimal, functional R package from scratch to streamline code reuse and save development time.
A blog post discussing the value of creating personal R packages for learning, reproducibility, and sharing code within the statistics community.
