ECMWF | Reading | 28-29 November 2017

Workshop description

Python has become increasingly popular in processing environmental data, including the handling of weather forecast, climate and oceanographic data. In recent years the Python eco-system has greatly improved its handling of large multi-dimensional data with the development of Pandas, Xarray and links to machine learning frameworks. Jupyter notebooks are now a popular interface for scientists to exchange their work in Python.
ECMWF invites developers of Python frameworks in the field of environment data to a two day workshop. The workshop will assess the current status of Python packages around the world through presentations of developments. Participants will be able to join discussions on how interoperability between different packages can be achieved and how efforts between different developments can be harmonised.

Attendance

Please note that places at this workshop are limited and may be restricted. We will confirm acceptance of participation after the application deadline. If you wish to participate in the workshop, please complete the online application form.

The application deadline is 27 October 2017.

To register, you will need an ECMWF username. If you already have one and are not logged in you can use the link at the top of this page to do so. If you do not have an ECMWF username, you can register for one using the log in link at the top of the page.