I long ago stopped reading books on note-taking.

They were always too vague and boring, full of platitudes that had little to do with the world outside academia.

I especially avoided “how-to” style books on the subject.

They would often list dozens of tips and tricks that had little to do with each other. There was never an overarching system for turning notes into concrete results.

But recently I picked up How To Take Smart Notes (affiliate link) by Sönke Ahrens. Ahrens is a Lecturer in Philosophy of Education at the University of Duisburg-Essen and also coaches students, academics, and professionals with a focus on time management, decision-making, and personal growth.

This article contains the flow-charts of many common programming language constructs that involve distinct combinations of gotos. The goto (or jump) is a basic building block of control flow, therefore most control flow constructs can be modelled using it.

Cod is a new command line completion daemon written in Go for Bash and Zsh. The tool detects the usage of --help to generate autocompletion for commands that don't support this.

In Norway, way up by the Arctic circle, global warming is already affecting people and nature. Here's how.

We are releasing HiPlot, a lightweight interactive visualization tool to help AI researchers discover correlations and patterns in high-dimensional data.

This tutorial explains how to browse the web with Vim Keybindings using Vimium extension. Vimium allows you to navigate the Internet just using Keyboard.

At Axel Springer, Europe’s largest digital publishing house, we own a lot of news articles from various media outlets such as Welt, Bild, Business Insider and many more. Arguably, the most important part of a news article is its title, and it is not surprising that journalists tend to spend a fair amount of their time to come up with a good one. For this reason, it was an interesting research question for us at Axel Springer AI whether we could create an NLP model that generates quality headlines from Welt news articles (see Figure 1). This could, for example, serve our journalists as inspiration for creating SEO titles, which our journalists often don’t have time for (in fact we’re working together with our colleagues from SPRING and AWS on creating a SEO title generator).

Then some little smarty decided that the operating system shouldn’t have all the fun and that developers should be able to create exception conditions and use this new architecture themselves, and in what is likely one of the worst things to ever happen to software development until pair programming came along, extended the new architecture with throw...

If you round the result of every computation, then you can get exactly correct financial calculations using floating-point numbers, for realistic ranges of values.

bandwhich is a relatively new terminal bandwidth utilization tool for Linux, *BSD and macOS, written in Rust. It shows the current network utilization by process, connection and remote IP/hostname.

Clearview AI devised a groundbreaking facial recognition app. You take a picture of a person, upload it and get to see public photos of that person, along with links to where those photos appeared. The system — whose backbone is a database of more than three billion images that Clearview claims to have scraped from Facebook, YouTube, Venmo and millions of other websites — goes far beyond anything ever constructed by the United States government or Silicon Valley giants.

Analyses of single-cell recordings from mouse ventral tegmental area are consistent with a model of reinforcement learning in which the brain represents possible future rewards not as a single mean of stochastic outcomes, as in the canonical model, but instead as a probability distribution.

The U.S. education system spent more than $26 billion on tech­nology in 2018. That’s larger than the entire Israeli military budget. By one estimate, annual global spending on technology in schools will soon total $252 billion. But the technology pushed into schools today is a threat to child development and an unredeemable waste.

When something very basic goes wrong, I have this hierarchy of potential culprits:

• the compiler
• buggy hardware
• OS vendor
• last and least me, because I don’t make mistakes :)

So what doesn’t work ? I am doing a simple cast from a floating point value to an integer value in C. This happens in a routine, that checks, if a double is integral and if it would fit into a long.

Facebook AI has developed the first neural network that uses symbolic reasoning to solve advanced mathematics problems.

Speaking as a maintainer of Mercurial and an avid user of Python, I feel like the experience of making Mercurial work with Python 3 is worth sharing because there are a number of lessons to be learned.

Python haters always say, that one of reasons they don't want to use it, is that it's slow. Well, whether specific program - regardless of programming language used - is fast or slow is very much dependant on developer who wrote it and their skill and ability to write optimized and fast programs.

So, let's prove some people wrong and let's see how we can improve performance of our Python programs and make them really fast!

When you learn c, you gain a basic understanding of the flow of these languages and how they run, though all of them bring some or the other changes which make them unique. So, if you’re interested in programming, C is a great place to start.

Fostering reliability, maintainability, compactness, and good performance in code has been a constant quest for programmers and language designers over the years. It's rare that one technique can give you all of the above benefits, concurrently. But intelligent use of associative arrays can do that. If you haven't yet tapped into the power of associative arrays, you might want to give the issues involved some thought. The issues are widely applicable to a variety of programming tasks, cutting across all major languages.