In this video, Appsilon Senior Data Scientist Olga Mierzwa-Sulima explains best practices for data science teams – whether your team is lucky enough to be working in the office together or fully remote. Olga outlines the basics of project management (Scrum framework, project boards, and implementation plans), code review (linter, continuous integration, and GitHub Templates), and setting up a development environment (Docker Hub, RStudio Server Pro, and renv lockfiles).
In the video, Olga explains Appsilon’s variation on the Scrum approach to project management, as well as how to set up a project board (in Asana, GitHub, or another workflow tool) to organize backlog. You will learn why code review and version control are essential for commercial projects, and how tools like GitHub Actions can help. Finally, Olga describes how to properly set up a development environment and avoid chaos with Docker Hub or RStudio Server Pro.
- Read Olga’s full article on Data Science Team Best Practices
- shiny.worker: Speed Up R Shiny Apps by Offloading Heavy Calculations
- Read Appsilon Engineer Krystian Igras’s RStudio Guest Article: 4 Tips to Make Your Shiny Dashboard Faster
Appsilon is hiring a Data Storyteller! This is a full-time role focused on creating compelling content for our blog and social media. We want this person to help us create ambitious articles and interactive experiences around the topics of R Shiny, Machine Learning, and climate change. If you have experience working with R or Python (especially R Shiny) and you have a passion for writing, please apply.
Appsilon is an RStudio Full Service Certified Partner. We specialize in advanced enterprise Shiny apps for Fortune 500 companies. Reach out to us at [email protected].