Programming: CppCon 2019, Python, DevNation Live Bengaluru and RcppAnnoy 0.0.13
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CppCon 2019 News Roundup
C++ developers flocked to Colorado for CppCon 2019. The convention is intended for personal networking and slideshow presentations, but its size leads to a handful of niche announcements that might be interesting to our readers when bundled together.
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An advanced look at Python interfaces using zope.interface
The Zen of Python is loose enough and contradicts itself enough that you can prove anything from it. Let's meditate upon one of its most famous principles: "Explicit is better than implicit."
One thing that traditionally has been implicit in Python is the expected interface. Functions have been documented to expect a "file-like object" or a "sequence." But what is a file-like object? Does it support .writelines? What about .seek? What is a "sequence"? Does it support step-slicing, such as a[1:10:2]?
Originally, Python's answer was the so-called "duck-typing," taken from the phrase "if it walks like a duck and quacks like a duck, it's probably a duck." In other words, "try it and see," which is possibly the most implicit you could possibly get.
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DevNation Live Bengaluru: Kubernetes serverless application architecture
Our first DevNation Live regional event was held in Bengaluru, India in July. This free technology event focused on open source innovations, with sessions presented by elite Red Hat technologists.
In this session, Burr Sutter discusses serverless architectures, which have become a common approach in organizations that want to be more effective in DevOps and optimize their IT resources. This approach adds further flexibility to the next generation of microservices, and Knative helps running your microservices serverless workloads on Kubernetes/OpenShift be more agile and effective.
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RcppAnnoy 0.0.13
A new release of RcppAnnoy is now on CRAN.
RcppAnnoy is the Rcpp-based R integration of the nifty Annoy library by Erik Bernhardsson. Annoy is a small and lightweight C++ template header library for very fast approximate nearest neighbours—originally developed to drive the famous Spotify music discovery algorithm.
This release brings several updates. First and foremost, the upstream Annoy C++ code was updated from version 1.12 to 1.16 bringing both speedier code thanks to AVX512 instruction (where available) and new functionality. Which we expose in two new functions of which buildOnDisk() may be of interest for some using the file-back indices. We also corrected a minor wart in which a demo file was saved (via example()) to a user directory; we now use tempfile() as one should, and contributed two small Windows build changes back to Annoy.
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