Programming Leftovers

posted by Roy Schestowitz on Nov 30, 2022

• Qt for MCUs 2.3 released

  Since the very first release of Qt for MCUs, your feedback and requests have been driving the development of Qt for MCUs. Today, we are happy to announce the release of version 2.3, which includes several of the most requested features and improvements. This new version adds the Loader QML type to Qt Quick Ultralite, support for partial framebuffers to substantially reduce the overall memory requirements of your applications, support for building applications using MinGW on Windows, and much more!

• Get to know Lua for loops in 4 minutes | Opensource.com

  In programming, iteration is an important concept because code often must scan over a set of data several times so that it can process each item individually. Control structures enable you to direct the flow of the program based on conditions that are often established dynamically as the program is running. Different languages provide different controls, and in Lua, there's the while loop, for loop, and repeat until loop. This article covers for loops. I will cover while and repeat until loops in a separate article.

• Get Your Data On: Filtering Complex Data With gsignal

  The gsignal package is a new signal processing library ported from Octave. If you use Matlab or Octave, gsignal contains many of the signal processing functions you would expect to find. In this post, I’m going to compare filterComplex function to the gsignal::filter function.

• Replace the first non-missing value in R

  Replace the first non-missing value in R, to retrieve the first non-missing value in each place of one or more vectors, use the coalesce() function from the dplyr package in R.

• Simple interfaces to the forecasting API

  A few weeks ago, I introduced a forecasting API (Application Programming Interface).

• rOpenSci | Meeting the stars of the R-universe: R Community, Exchange and Learn

  This is the first post of our interview series “Meeting the stars of the R-universe”. We aim to introduce the working groups and people behind the development of software and packages many of us use and which are available through the R-Universe. We want to highlight and explore different teams and projects around the world, the work they do, their processes and users. We begin our journey in Argentina with a team that uses R and develops R packages for the Argentinean State. Be sure to watch the video at the end with excerpts from the interview.

• Processing large scale satellite imagery with openEO Platform and R

  openEO is an open source, community-based API for cloud-based processing of Earth Observation data. This blog introduces the R openeo client, and demonstrates a sample analysis using the openEO Platform for processing.