Hi! I’m Martin D. Maas, Ph.D.
Here is a list of what you can find on this website:
I share some benchmarks, opinions, and comments.
You can find self-learning resources and quick-reference guides, all based around my own personal projects.
I'm an open-source enthusiast. I write about my own projects and the overall ecosystem.
Don't hesitate to ask me anything related to this website, or reach out for collaboration. Read more.
While open-source offers great long-term value for end-users, there are challenges in making a high-quality open-source scientific software project viable beyond academic use...
Last updated: 2021-11-23
In this post, I will give a general view of what I think are the basic skills required to get into the data world, and digress about the many ways to acquire them....
Last updated: 2021-11-10
I'm super enthusiastic about Julia after running this comparison of Julia vs Numpy vs Fortran, for performance and code simplicity....
Last updated: 2021-09-21
Fortran is a language that is specialized for high-performance computing. Believe it or not, it's still alive and evolving....
Last updated: 2021-09-20
This is a review of the most up-to-date open-source projects in Computational Electromagnetics, encompassing the three major techniques in this area: FDTD, FEM and BEM/MoM....
Last updated: 2021-08-24
How to bulk download data with existing open-source download scripts, or your with your own one....
Last updated: 2021-07-01
Write your own Python script to automatically download of data from a password-protected https directory...
Last updated: 2021-07-01
Google Earth Engine (GEE) is no doubt a powerful service, kindly provided for free by Google. However, it is not a one-size-fits-all solution......
Last updated: 2021-06-28
Fortran has been the optimal tool for numerical heavy-lifting for such a long time, that I tend to be quite skeptical about the idea of replacing it. However, the story might be different this time, with Julia....
Last updated: 2021-06-14
A tutorial for performing fast point-in-polygon tests with Python's Shapeley and Geopandas....
Last updated: 2021-05-04
Combining the incredible flexibility of Python with Fortran for high-performance number-crunching is an excellent idea, especially if you already have some legacy Fortran code hanging around. Here's how to do it....
Last updated: 2021-05-01