The Tensorflow framework is the most used framework when it comes to develop, train and deploy Machine Learning models. It ships with first class API support for python and C++, the former being a favourite of most data scientists, which explains the pervasiveness of python in virtually all of the companies relying on ML for their products.
TL;DR: starting with v0.15.0, httpx responses can be used with pattern matching, a feature which appeared experimentally in ruby 2.7, and became an official feature in ruby 3.
I’ve just published the first version of idnx to Rubygems. idnx is a ruby gem which converts Internationalized Domain Names into Punycode. The gist of it is:
One of my most recent ruby open-source projects is rodauth-oauth, a rack-based toolkit to help easily build OAuth and OpenID Connect providers, built on top of rodauth (the most advanced authentication provider library for ruby). I summarized my initial motivation for “rolling my own” in the project Wiki, namely the lack of a decent framework-agnostic alternative (I didn’t want to have to use Rails), and what I perceived as the limitations of the “de-facto” OAuth provider Rails extension, “doorkeeper”.
Read more...httpx v0.12.0 ships with new plugins to authenticate requests using AWS Sigv4 signatures.