Building full-stack scientific applications in Python
Python has a large collection of tools for scientific computing. However, finding the right pieces and assembling them into a fast and scale-able app can be a daunting task. This talk will explore common requirements of scientific apps and how to fulfill those from the Python ecosystem. It will also provide a blueprint for building apps using tools like PyQt, PyQwt, numpy, and HDF5.