21st Century Industrial Computing at Boeing
The Python programming language, created in 1991 and gaining in popularity ever since, offers an appealing means of programming high level constructs in a very succinct way. Many mathematical tools based on Python have matured during the last 15 years, including SciPy, NumPy, Matplotlib, Jupyter, Anaconda, and others. This richness of these tools, taken collectively, provides an appealing universe in which very large numbers of diverse mathematical calculations can be performed in an industrial setting. Particularly appealing in this paradigm is Python’s ability to interface quickly and effectively with large numbers of other tools, making it possible to deploy mathematical algorithms and applications wherever they are needed. This talk will explore some of the many use cases for this approach and discuss the knowledge and skills needed by practitioners to perform effectively in this environment.