Mathematics, Technology & Software Development

by Martin D. Maas, PhD

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Scientific Software Development with Julia

Learn 80% of Julia in 20% of the time.

From zero to research software engineering best practices!

Tutorials

Using the Fast Fourier Transform

Using Julia and VSCode

Julia Programming: a Hands-on Tutorial

Numerical Computing

Numerical Computing in Julia

Blog

Software Development

Learning Good Programming Practices for Scientific Code

Last updated: 2022-01-31

laptop computer book

Julia vs Numba and Cython: Looking Beyond Microbenchmarks

Last updated: 2022-01-18

Testing Julia: Fast as Fortran, Versatile as Python

Last updated: 2021-09-21

Fast Car, blurred background.

5 Reasons Why Fortran is Still Used

Last updated: 2021-09-20

Will Julia Replace Fortran for High-Performance Computing?

Last updated: 2021-06-14

Julia, Fortran, and High-performance computing

Geospatial Data Science

Using Landsat & Sentinel-2 on AWS with Python

Last updated: 2022-05-14

Sentinel NDVI farmland

How to Download Remote Sensing Data with Python

Last updated: 2021-07-01

Imerg precipitation estimates

5 Things to Consider about Google Earth Engine

Last updated: 2021-06-28

How to Run Fast Point-in-Polygon Tests with Python

Last updated: 2021-05-04

Point in polygon test

Numerical Simulation

Best Open-Source Finite Element Analysis Software

Last updated: 2022-05-24

Commercial vs Open-Source Simulation Software

Last updated: 2021-11-23

Open-Source Scientific Software

Open-Source Electromagnetic Simulation: FDTD, FEM, MoM

Last updated: 2021-08-24

Python Tips

Download an Https Directory with Authentication in Python

Last updated: 2021-07-01

Download Https folder

How to Call Fortran from Python

Last updated: 2021-05-01

Math Careers

Pure and Applied Mathematics FAQ

Last updated: 2021-12-07

$applied math$

What is Data Science All About?

Last updated: 2021-11-10