The high-level programming language Python is well established with a large community in academia and industry. It is a general-purpose language adopted by many scientific applications. Examples are computational fluid dynamics, bio molecular simulation, machine learning, finance, or scientific visualization. Scientists, engineers, and educators use Python for data science, high-performance computing, and distributed computing. Traditionally, system administrators use Python for system management and automating administration tasks. Python is extremely easy to learn due to its very clean syntax and great readability. Therefore developers love Python as it facilitates writing sustainable and maintainable software systems. For the same reasons, Python is well suited for education at all levels. 

The workshop will bring together researchers and practitioners using Python in all aspects of high performance and scientific computing. The goal is to present Python applications from mathematics, science, and engineering, to discuss general topics regarding the use of Python, and to share experiences using Python in scientific computing education. 

The overarching theme of the workshop is productivity vs. performance in HPC and scientific programming. While Python is extremely strong in supporting human productivity as well reproducible science, it still lacks in computational performance compared to ‘traditional’ HPC languages such as Fortran or C. For the workshop, we encourage authors to submit novel research in improving performance of Python applications as well as research on productivity of development with Python.