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MIKE IO – An introduction to manipulating MIKE modelling data files with Python
Description
MIKE IO is a free, open-source Python library for reading, writing, manipulating, and analysing MIKE modelling data files supporting scripting and automation for water modelling workflows. It provides innovative solutions through interactive notebooks, scripts in cloud processing workflows, embedded in web applications, and combination with machine learning.
This modern and efficient way of working with MIKE data files in Python ensures time-saving results for any MIKE user. Join this webinar to discover how you can benefit from MIKE IO!
We’ll cover topics such as:
- Getting started with reading, writing, manipulating and analysing MIKE data files in Python
- How to access MIKE IO’s free and open-source Python library without a MIKE license
- Facilitating scripting and automation of water modelling workflows
- Flexible data processing and visualization using the Python Data Science ecosystem
- Ensuring re-producibility
- Utilising automated workflows
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Webinar is over, you cannot register now. If you have any questions, please contact Webinar host:
Henrik Andersson
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Hi there, You are invited to a Zoom webinar. Topic: MIKE IO – An introduction to manipulating MIKE modelling data files with Python Register in advance for this webinar: https://us06web.zoom.us/webinar/register/WN_r211F5QxTl-mokxbjpK7uA After registering, you will receive a confirmation email containing information about joining the webinar. ---------- Webinar Speakers Henrik Andersson (Utrecht University, PhD, Geosciences; University of Gothenburg, MSc, Marine chemistry @DHI) Henrik is a Senior Innovation Engineer with experience in biogeochemical modeling, statistical analysis, scientific programming, web development, and biogeochemical sampling. He has been involved in several international research projects as well as commercial projects related to data assimilation and marine forecasting. Jesper Sandvig Mariegaard (Technical University of Denmark, PhD, Applied Mathematics; Technical University of Denmark, MSc, Civil Engineering and Applied M @DHI) Jesper is a data & modelling specialist at DHI with a PhD background in applied mathematics, hydrodynamics and scientific computing. He has been with DHI since 2009 and has worked with data assimilation, data science, machine learning, scientific software development, marine forecasting, metocean data and wave model development.
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