R in Production: An Evening with Hadley Wickham

Join us for an enlightening evening with Hadley Wickham as we explore the realm of "R in Production."

"This talk will discuss what it means to put R "in production". This isn't something you'll necessarily encounter early in your data science journey, but it's useful to have a strong mental model in place for when you inevitably face it. I'll discuss the three principles that I've found useful for distinguishing production for regular analyses:

Not just once: Successful data science projects are not a one-off, but will be run repeatedly for months or years. I'll discuss some of the challenges for creating R scripts and applications that run repeatedly, handle new data seamlessly, and adapt to evolving analytical requirements without constant manual intervention.

Not just my computer: the transition from development on your laptop (usually windows or mac) to a production environment (usually linux) introduces a number of challenges. Here, I'll discuss some strategies for making R code portable, how you can minimise pain when something inevitably goes wrong, and few unresolved auth challenges that we're currently working on.

Not just me: R is not just a tool for individual analysts but a platform for collaboration. I'll cover some of the best practices for writing readable, understandable code, and how you might go about sharing that code with your colleagues." - Hadley Wickham

In this engaging event, Hadley, renowned Chief Scientist at RStudio, will guide us into the practical applications and best practices for deploying R solutions in real-world production environments. From effective code structuring to ensuring scalability and reliability, Hadley will share invaluable insights and actionable tips for harnessing the full potential of R in production settings.

Whether you're a seasoned data scientist or just beginning your journey with R, this event promises to equip you with the knowledge and tools needed to successfully deploy R solutions and drive impactful outcomes in your organization.