Getting started with dfs files in Python
Using MIKE IO
An instructor-led course in Denmark
Learn how to efficiently read, write and perform data analysis on data stored in dfs files using Python.
Course details
Is this course right for me?
What are my expected outcomes?
How will I learn?
Logistics
Is this course right for me?
This course is right for you if:
✔️ You work with MIKE dfs files and would like to be more efficient and do better analysis
✔️ You use Python for programming or data analysis
✔️ You are familiar with the Python libraries NumPy and Pandas
✔️ You are prepared to complete a 4-module instructor-led course in Denmark over two days
✔️ Your schedule allows you to allocate 8 hours for the in-person sessions and module assignments
What are my expected outcomes?
Upon completion of the course, you will be able to:
✔️ Save time by becoming more efficient at MIKE dfs file processing
✔️ Conduct better data analysis and thereby provide new insights faster
✔️ Read, write and analyse dfs0, dfs1, dfs2, dfs3, dfsu and mesh files
✔️ Convert data to/from 3rd party data formats such as csv, Excel and NetCDF
✔️ Facilitate scripting and automation of water modelling workflows
How will I learn?
This course includes two half-day sessions held at the DHI A/S main office location in Hørsholm, Denmark. These training sessions will be conducted by two MIKE IO experts and qualified trainers. You will learn through a combination of instructor-led lectures, demonstrations, and hands-on exercises.
Throughout the course, you will have ample time to discuss tips & tricks, best practices and examples with your instructor and fellow participants. A major part of the course is allocated to hands-on group work assignments set by your trainer so please remember to bring your laptop.
Logistics
Location
DHI A/S head office, Agern Alle 5, 2970 Hørsholm, Denmark
Dates & Times
TBD
Modules
This in-person course is divided into two 4-hour training sessions.
Module 1 | Timeseries dfs0
Topics: Installation, Dataset, timeseries (dfs0)
Module 2 | Generic and dfs1
Topics: The DFS files format, Generic dfs processing, line series (dfs1)
Module 3 | dfs2
Topics: Gridded 2D data (dfs2)
Module 4 | dfs 2D
Topics: Flexible mesh data
Instructors
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.
PhD Utrecht University, MSc Gothenburg University
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.
PhD, MSc Technical University of Denmark
Pricing tiers
*Customers with an active SMA or subscription