Name: [ONLINE] Daily workflows and remote setups with Git (R-Ladies book club)
Start: 2025-02-04T17:00:00+01:00
End: 2025-02-04T18:30:00+01:00

Effective version control is essential for reproducible and collaborative data science. This online session will guide participants through key concepts from the *[Happy Git with R](https://happygitwithr.com/)* book, focusing on **[Git remote setups](https://happygitwithr.com/remote-scenarios-intro)**[ ](https://happygitwithr.com/remote-scenarios-intro) and **[Daily Workflows](https://happygitwithr.com/workflows-intro)**. Participants will learn how to configure remote repositories, manage connections between local and remote projects, and adopt best practices for seamless collaboration using Git and GitHub. Through practical demonstrations, we will cover common daily Git operations, including committing, pushing, pulling, and resolving conflicts, ensuring a smooth and efficient workflow for R projects. Whether you're new to Git or looking to refine your workflow, this session, the fifth in the R-Ladies book club series, will equip you with actionable strategies to integrate version control into your R programming routine.

**When:** **Tuesday February 4 from 17:00 - 18:30 CET**
**Who:** The session will be presented by Kylie Ainslie from R-Ladies Amsterdam.
**Where:** Online

R-Ladies is dedicated to providing a harassment-free experience for everyone. We do not tolerate harassment of participants in any form. See the [code of conduct](https://rladies.org/coc/).

Caroline

Kylie

Josi Bernardo

R-Ladies Amsterdam

R-Ladies

Technology

Open Source

Big Data

Machine Learning

Data Analytics

Data Science

Data Science using R

Data Visualization

Computer Programming

Professional Networking

I’m Kylie Ainslie, and I’m an infectious disease modeller at the Dutch National Institute of Public Health and the Environment (RIVM) and an Honorary Assistant Professor at the University of Hong Kong School of Public Health. My work at RIVM focuses on using mathematical models of infectious disease transmission to determine the impact of vaccination strategies on disease spread, and the development of statistical methods to determine how vaccine-induced protection wanes over time. At the University of Hong Kong my work focuses on determining the real world protection provided by vaccines against respiratory diseases, such as COVID-19 and influenza. I strongly believe in open-source and reproducible research and love coding in R.

R-Ladies Amsterdam

[ONLINE] Daily workflows and remote setups with Git (R-Ladies book club)

R-Ladies Amsterdam

Details

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