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.
We compare the performance of Julia and Numba, for a minimal benchmark that enables to see some fundamental difference between Julia and accelerated-Python....
Last updated: 2022-01-18
Learning best programming practices is important and difficult. It is also easy to get lost in the process, without formal training in computer science....
Last updated: 2021-12-16
Let's address some FAQ about pure and applied mathematics....
Last updated: 2021-12-07
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