Python is an established, high-level programming language with a large following in research and industry. It is a general-purpose language adopted by many scientific applications in fields including computational fluid dynamics, biomolecular simulation, artificial intelligence, statistics, data analysis, scientific visualization etc. More and more industrial domains are turning towards it as well, such as aeronautics, robotics, semiconductor manufacturing, automotive solutions, telecommunication, finance, and games. The use of Python for scientific, high performance parallel, and distributed computing in increasing since years. Especially, the use of Python rises for data analysis and Big Data processing. Traditionally, system administrators are using Python a lot for automating tasks. Since Python is extremely easy to learn with a very clean syntax, it is well-suited for education in scientific computing, mathematics, and other disciplines. The workshop will bring together researchers and practitioners from industry and academia using Python for 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 (such as language design and performance issues), and to share experience using Python in scientific computing education.