ISLisp in JS/Go: Standards-compliant Lisp smaller than Common-Lisp.
Note that the on-line JavaScript version does not handle #x prefixes correctly.
Integers are also limited to 31 bit:
(expt 2 31) => -2147483648
in contradiction to https://islisp-dev.github.io/ISLispHyperDraft/islisp-v23.html#integer_class
Hy is a multi-paradigm general-purpose programming language in the Lisp family. It’s implemented as a kind of alternative syntax for Python. http://hylang.org/
Compared to Python, Hy offers a variety of extra features, generalizations, and syntactic simplifications, as would be expected of a Lisp. Compared to other Lisps, Hy provides direct access to Python’s built-ins and third-party Python libraries, while allowing you to freely mix imperative, functional, and object-oriented styles of programming.
Found on https://en.wikipedia.org/wiki/Lisp_(programming_language)#Genealogy_and_variants
The author found Org Mode lacking: "I find the export tools available for Org Mode are not quite powerful (or fast) enough for a large blog. I got pretty far trying to get the export features to suit, but not far enough – generation of a large site took too long, and customization was too unwieldy."
SYSTEMS: Available for Windows 11 to Windows 7, Linux (various distributions) and Mac OS.
LANGUAGES: Available in 7 languages.
ZED! mobile app for iOS and Android.
Hat for Raspberry Pi with a number of sensors:
BME280 temperature, pressure, humidity sensor
LTR-559 light and proximity sensor
MICS6814 analog gas sensor
ADS1015 analog to digital converter (ADC)
MEMS microphone (datasheet)
0.96" colour LCD (160x80)
Connector for particulate matter (PM) sensor (available separately, see https://shop.pimoroni.com/products/pms5003-particulate-matter-sensor-with-cable?variant=29075640352851 )
Starlink Cookbook, 2003
Central Laboratory of the Research Councils
Particle Physics & Astronomy Research Council
Somewhat dated guide to numerical computing on Unix. Found via https://en.wikipedia.org/wiki/Numerical_Recipes
The FGI-GSRx software receiver has been extensively used as a research platform for the last one decade in different national and international Research and Development (R&D) projects to develop, test and validate novel receiver processing algorithms for robust, resilient and precise Position, Navigation and Timing (PNT). At present, the FGI-GSRx can process GNSS signals from multiple constellations, including GPS, Galileo, BeiDou, GLONASS, and NavIC. The software receiver is intended to process raw Intermediate Frequency (IF) signals in post-processing. The processing chain of the software receiver consists of GNSS signal acquisition, code and carrier tracking, decoding the navigation message, pseudorange estimation, and Position, Velocity, and Timing (PVT) estimation. The software architecture is built in such a way that any new algorithm can be developed and tested at any stage in the receiver processing chain without requiring significant changes to the original codes.
This repository documents how to implement custom FIDO2 extensions. It contains supplementary material to our paper at ETAA 2021. We describe how to implement extensions on all parts of the FIDO2 stack: On the relying party (website), on the client (browser), and on the authenticator (hardware token).