Asciidoctor PDF: A native PDF converter for AsciiDoc based on Asciidoctor


Lo and behold, a native PDF converter for AsciiDoc built with Asciidoctor and Prawn!No more middleman.No more DocBook toolchain.It’s AsciiDoc straight to PDF!

Asciidoctor PDF is currently alpha software.
While the converter handles most AsciiDoc content, there’s still work needed to fill in gaps where conversion is incomplete, incorrect or not implemented.
See the milestone v1.5.0 in the issue tracker for details.

Prawn, the Majestic PDF Generator

Asciidoctor PDF is made possible by an amazing Ruby gem named Prawn.
And what a gem it is!

Prawn is a nimble PDF writer for Ruby.
More important, it’s a hackable platform that offers both high level APIs for the most common needs and low level APIs for bending the document model to accommodate special circumstances.

With Prawn, you can write text, draw lines and shapes and place images anywhere on the page and add as much color as you like.
In addition, it brings a fluent API and

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Using the Windows Subsystem for Linux with Xfce 4

In my previous article, I’ve shown you how to install WSL, the Windows System for Linux, on a fresh Windows 10 Creators Update. Officially, at the time of this writing, WSL supports only command-line applications. However, you can install graphical Linux applications and run these under WSL if you have an X server like VcXsrv or Xming, on your Windows machine. Assuming that you have a working WSL installation, start Bash on Ubuntu on Windows, or open a Command Prompt and type bash in it. First step is to install a window manager. From my experience, Xfce works reasonably well with WSL: Next, you will need to modify the .bashrc file. There are a few text editors that work under WSL. I suggest to use vim or nano, e.g.: The second command from above will open .bashrc in nano and you can scroll to the end of the file and

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SyntaxNet – An open-source framework for Natural Language Understanding systems

This structure encodes that Alice and Bob are nouns and saw is a verb. The main verb saw is the root of the sentence and Alice is the subject (nsubj) of saw, while Bob is its direct object (dobj). As expected, Parsey McParseface analyzes this sentence correctly, but also understands the following more complex example:
This structure again encodes the fact that Alice and Bob are the subject and object respectively of saw, in addition that Alice is modified by a relative clause with the verb reading, that saw is modified by the temporal modifier yesterday, and so on. The grammatical relationships encoded in dependency structures allow us to easily recover the answers to various questions, for example whom did Alice see?, who saw Bob?, what had Alice been reading about? or when did Alice see Bob?. Why is Parsing So Hard For Computers to Get Right?One of the main problems

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Justice.exe: Bias in Algorithmic sentencing

Justice.exe is a short mobile game created by University of Utah Honors When Machines Decide Praxis Lab students in order to raise awareness around the usage and dangers of machine learning algorithms in the criminal justice system.

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Kubernetes clusters for the hobbyist

This guide answers the question of how to setup and operate a fully functional, secure Kubernetes cluster on a cloud provider such as DigitalOcean or Scaleway. It explains how to overcome the lack of external ingress controllers, fully isolated secure private networking and persistent distributed block storage.
Be aware, that the following sections might be opinionated. Kubernetes is an evolving, fast paced environment, which means this guide will probably be outdated at times, depending on the author’s spare time and individual contributions. Due to this fact contributions are highly appreciated.
This guide is accompanied by a fully automated cluster setup solution in the shape of well structured, modular Terraform recipes. Links to contextually related modules are spread throughout the guide, visually highlighted using the Terraform icon.
Table of Contents

Cluster size
The professional hobbyist cluster operators aim for resilience—a system’s ability to withstand and recover from failure. On the other hand,

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