Cornell University’s Center for Advanced Computing together with Weill Cornell Medicine's Scientific Computing Unit, ITS, and Clinical and Translational Science Center are pleased to offer the 2023 Scientific Computing Training Series. 

While producing long-lasting software in academic research domains shares many of the same problems as commercial development, the environment is often different. In particular, the number of coders is often smaller, the people writing code may be learning as they go, development of software is often not their main career goal, and the funding model is different. This means that industry approaches to producing, maintaining, and operating software may not apply, or may have to be modified for the research environment. In this talk we will see some ideas, based on experience of research software at a variety of scales, to suit the different situations in which researchers develop software. Level: Introductory. Prereqs: None.