Statistical programming in the pharmaceutical industry has long used SAS as the default programming language. Open-source languages like R and Python have been prominent in the world of big data, and have received increasing attention in the PHUSE community in recent years, looking at related conference presentations and Working Group themes. Both of these languages connect into powerful tools like Spark and Hadoop for distributed computing, and have impressive packages available in the world of machine learning and deep learning, bringing modern analytical tools to programming teams. These programming solutions thus compliment the statistical programmer's toolbox, either as a separate technology or integrated with SAS.
During this virtual SDE we would like to deliberate programming languages for the next decade, with the aim of providing a better understanding of their value and positioning, and to hear of practical applications.
We invite you to join us for this event. You can contribute by presenting a relevant case on your second (or first) programming language of choice. We welcome different types of presentations: from in-depth/technical to high-level/strategic, from learning to application.