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Interested in streamlining your workflow by connecting Git and R? Join our book club for “Happy Git and GitHub for the useR” by Jennifer (Jenny) Bryan! The book describes the use of the version control system Git and the hosting site GitHub for statistical and data scientific workflows in R.

After our engaging sessions on “Building Reproducible Analytical Pipelines with R” by R-Ladies Bergen and “Hands-On Machine Learning with R” by R-Ladies Den Bosch, we're excited to team up for a joint book club, together with R-Ladies Amsterdam!

Jenny Bryan herself will introduce the book and be available for questions during the kick-off session!

When: Kicking off on Wednesday, November 6, 2024, at 16:30 CET (Den Bosch/Bergen/Amsterdam time) – thereafter 17.00 CET every 2 weeks Where: Zoom (link available for attendees) What to expect?

• Book Club Format: Every two weeks, we’ll work through each chapter together. To make this a group effort, the idea is that all participants take turns in presenting chapters. Participants are encouraged to present chapter summaries, but listening in is equally welcome.
• Presentations summarizing key points from each chapter
• Open discussions for questions, insights, and collaborative learning

Feel free to join us at any session, even if you miss the first one. We’ll explore “Happy Git and GitHub for the useR” together – learning is better in good company! You do not have to prepare anything for the kick-off session.

Code of Conduct R-Ladies is committed to a welcoming, harassment-free experience for everyone. We have a strict Code of Conduct and do not tolerate harassment in any form. See the code of conduct

Cross Posting This event will be cross posted on the R-Ladies Den Bosch and R-Ladies Amsterdam meet-up pages.

Interested in streamlining your workflow by connecting Git and R? Join our book club for “Happy Git and GitHub for the useR” by Jennifer (Jenny) Bryan! The book describes the use of the version control system Git and the hosting site GitHub for statistical and data scientific workflows in R.

After our engaging sessions on “Building Reproducible Analytical Pipelines with R” by R-Ladies Bergen and “Hands-On Machine Learning with R” by R-Ladies Den Bosch, we're excited to team up for a joint book club, together with R-Ladies Amsterdam!

Jenny Bryan herself will introduce the book and be available for questions during the kick-off session!

When: Kicking off on Wednesday, November 6, 2024, at 16:30 CET (Den Bosch/Bergen/Amsterdam time) – thereafter 17.00 CET every 2 weeks

Where: Zoom (link will be shared later)

What to expect?

• Book Club Format: Every two weeks, we’ll work through each chapter together. To make this a group effort, the idea is that all participants take turns in presenting chapters. Participants are encouraged to present chapter summaries, but listening in is equally welcome.
• Presentations summarizing key points from each chapter
• Open discussions for questions, insights, and collaborative learning

Feel free to join us at any session, even if you miss the first one. We’ll explore “Happy Git and GitHub for the useR” together – learning is better in good company! You do not have to prepare anything for the kick-off session.

Code of Conduct R-Ladies is committed to a welcoming, harassment-free experience for everyone. We have a strict Code of Conduct and do not tolerate harassment in any form. See the code of conduct

Interested in streamlining your workflow by connecting Git and R? Join our book club for “Happy Git and GitHub for the useR” by Jennifer (Jenny) Bryan! The book describes the use of the version control system Git and the hosting site GitHub for statistical and data scientific workflows in R. After our engaging sessions on “Building Reproducible Analytical Pipelines with R” by R-Ladies Bergen and “Hands-On Machine Learning with R” by R-Ladies Den Bosch, we're excited to team up for a joint book club, together with R-Ladies Amsterdam! Jenny Bryan herself will introduce the book and be available for questions during the kick-off session! When: Kicking off on Wednesday, November 6, 2024, at 16:30 CET (Den Bosch/Bergen/Amsterdam time) – thereafter 17.00 CET every 2 weeks Where: Zoom Meeting ID: 255 608 7302 Password: PfYaV9kU What to expect?

• Book Club Format: Every two weeks, we’ll work through each chapter together. To make this a group effort, the idea is that all participants take turns in presenting chapters. Participants are encouraged to present chapter summaries, but listening in is equally welcome.
• Presentations summarizing key points from each chapter
• Open discussions for questions, insights, and collaborative learning

Feel free to join us at any session, even if you miss the first one. We’ll explore “Happy Git and GitHub for the useR” together – learning is better in good company! You do not have to prepare anything for the kick-off session. Code of Conduct R-Ladies is committed to a welcoming, harassment-free experience for everyone. We have a strict Code of Conduct and do not tolerate harassment in any form. See the code of conduct Cross Posting This event will be cross posted on the R-Ladies Den Bosch and R-Ladies Bergen meet-up pages.

Turn your R code into packages that others can easily install and use. With this fully updated edition, developers and data scientists will learn how to bundle reusable R functions, sample data, and documentation together by applying the package development philosophy used by the team that maintains the "tidyverse" suite of packages. In the process, you'll learn how to automate common development tasks using a set of R packages, including devtools, usethis, testthat, and roxygen2. Authors Hadley Wickham and Jennifer Bryan from Posit (formerly known as RStudio) help you create packages quickly, then teach you how to get better over time. You'll be able to focus on what you want your package to do as you progressively develop greater mastery of the structure of a package. With this book, you will: Learn the key components of an R package, including code, documentation, and tests Streamline your development process with devtools and the RStudio IDE Get tips on effective habits such as organizing functions into files Get caught up on important new features in the devtools ecosystem Learn about the art and science of unit testing, using features in the third edition of testthat Turn your existing documentation into a beautiful and user friendly website with pkgdown Gain an appreciation of the benefits of modern code hosting platforms, such as GitHub