Pike is a dynamic programming language with a syntax similar to Java and C. It is simple to learn, does not require long compilation passes and has powerful built-in data types allowing simple and really fast data manipulation.

Pike is a general purpose programming language, which means that you can put it to use for almost any task. Its application domain spans anything from the world of the Net to the world of multimedia applications, or environments where your shell could use some spicy text processing or system administration tools. Your imagination sets the limit, but Pike will probably extend it far beyond what you previously considered within reach.

The non-repetitive alternative to YAML...

Dhall is programmable, but NOT Turing-complete.

Dhall supports comments, multi-line string literals and string interpolation with non-technical users in mind.

Natural language processing algorithms applied to three million materials science abstracts uncover relationships between words, material compositions and properties, and predict potential new thermoelectric materials.

The overwhelming majority of scientific knowledge is published as text, which is difficult to analyse by either traditional statistical analysis or modern machine learning methods. By contrast, the main source of machine-interpretable data for the materials research community has come from structured property databases, which encompass only a small fraction of the knowledge present in the research literature. Beyond property values, publications contain valuable knowledge regarding the connections and relationships between data items as interpreted by the authors. To improve the identification and use of this knowledge, several studies have focused on the retrieval of information from scientific literature using supervised natural language processing, which requires large hand-labelled datasets for training. Here we show that materials science knowledge present in the published literature can be efficiently encoded as information-dense word embeddings (vector representations of words) without human labelling or supervision. Without any explicit insertion of chemical knowledge, these embeddings capture complex materials science concepts such as the underlying structure of the periodic table and structure–property relationships in materials. Furthermore, we demonstrate that an unsupervised method can recommend materials for functional applications several years before their discovery. This suggests that latent knowledge regarding future discoveries is to a large extent embedded in past publications. Our findings highlight the possibility of extracting knowledge and relationships from the massive body of scientific literature in a collective manner, and point towards a generalized approach to the mining of scientific literature.

Eternal Terminal (ET) is a remote shell that automatically reconnects without interrupting the session. Learn how to install and use it here.

ET was heavily inspired by several other projects:

• ssh: Ssh is a great remote terminal program, and in fact ET uses ssh to initialize the connection. The big difference between ET and ssh is that an ET session can survive network outages and IP roaming. With ssh, one must kill the ssh session and reconnect after a network outage.
• autossh: Autossh is a utility that automatically restarts an ssh session when it detects a reconnect. It's a more advanced version of doing "while true; ssh myhost.com". Although autossh will automatically reconnect, it will start a new session each time. This means, if we use tmux with control mode, we must wait for the ssh connection to die and then re-attach. ET saves valuable time by maintaining your tmux session even when the TCP connection dies and resuming quickly.
• mosh: Mosh is a popular alternative to ET. While mosh provides the same core funtionality as ET, it does not support native scrolling nor tmux control mode (tmux -CC).

I’ve used MATLAB for over 25 years. (And before that, I even used MATRIXx, a late, unlamented attempt at a spinoff, or maybe a ripoff.) It’s not the first language I learned to program in, but it’s the one that I came of age with mathematically. Knowing MATLAB has been very good to my career.
However, it’s impossible to ignore the rise of Python in scientific computing. MathWorks must feel the same way: not only did they add the ability to call Python directly from within MATLAB, but they’ve adopted borrowed some of its language features, such as more aggressive broadcasting for operands of binary operators.

Hi and welcome to User Inyerface, a challenging exploration of user interactions and design patterns.

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A frustrating and unpleasant UI-UX experience.

Today I want to talk about fzf and ripgrep, two tools I use all the time when working in Vim and the terminal. They have become an absolutely vital part of my workflow. Ever since I started using them I can’t imagine myself functioning without them anymore.