Web Pages Via Forth

Forth. You either love it or you hate it. If you have struggled to work on tiny microcontrollers, you probably are in the first camp. After all, bringing up a minimal Forth system is pretty simple and requires very little resources on the CPU. Once you have such an environment it is then easy to extend Forth in Forth. [Remko] decided he wanted to build a Forth compiler that uses WebAssembly and runs in your browser. Why? We’ve learned not to think about that question too much.

The world has changed a lot since the first introduction of the WorldWideWeb browser in 1990. What started out as a way to show text documents over the network has become — for better or worse — an application platform. JavaScript won the browser scripting language wars and security concerns pretty much killed Java applets and Flash. But JavaScript isn’t always fast. Sure, there are ways to do just in time compiling, such as Google’s V8 engine. But that compile step takes time, too. Enter WebAssembly (or Wasm).

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CD Image Via Twitter: A Handcrafted Game Disc

Humans can turn anything into a competition. Someone always wants to be faster or drive a ball farther. Technical pursuits are no different, which is why a lot of people overclock or play regular expression golf. [Alok Menghrajani] sets himself some odd challenges. A few years ago, he hand-built a bootable floppy image that had a simple game onboard and managed to fit it in a Twitter message. Twitter has increased their number of characters, so — you guessed it — this time he’s back with a CDROM image.

His tweet is a command line that starts with perl. The text is base64-encoded binary and if you run the Tweet from a shell — which is an odd thing to do with a Tweet, we grant you, you’ll be rewarded with a file called cd.iso. You could burn that to a CDROM, but it is more likely you’ll just mount in a virtual machine and boot that. [Alok] says it does work in QEMU, VirtualBox, and — yes — even a real CD.

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Become The Rockstar Developer You’ve Always Dreamed Of Being

If you have ever worked in software-related industries, the chances are that the word “Rockstar” will elicit a visceral reaction. It’s a word used by a Certain Type Of Manager for an elite software developer who’s so 1337 they don’t play by the rules of ordinary mortals. In reality it’s use is invariably an indication of trouble ahead, either from clueless startups or troublesome rockstar developers making a toxic atmosphere for the mere members of the backing band. Hackaday has a team that brings together a huge breadth of experience, and we’ve been there.

Would you like to be a rockstar developer, but without the heartache? No silly incentives, or even guitars required! [Dylan Beattie] can help, because he’s come up with a specification for the Rockstar programming language, a Turing-complete programming language whose syntax follows the conventions of 1980s rock power ballads. Of course, it’s a joke, and an excuse of some “Certified Rockstar Developer” laptop stickers, but it’s also an entertaining journey into lyrical language and compiler parsing, and the discovery that yes indeed, a singable set of classic rock lyrics can also be a compilable program.

Our particular favourite comes from the scheme used to represent numbers, as sentences in which a decimal is built from the lengths of the sentence words, and poetic licence can be employed to the fullest. The example is

 My dreams were ice. A life unfulfilled; wakin' everybody up, taking booze and pills

which line of code places the value 3.1415926535 into a variable called “my dreams”.

There does not appear to be a working Rockstar compiler at the time of writing, but we are sure that the amazing community of Rockstar developers will shortly create one. And we would be hugely disappointed were we not to hear some performative coding from spandex-clad guitar-wielding developers as a result. After all, how else will they get their work noticed!

Esoteric languages have featured before here, but they have usually been far more challenging ones.

Hands On With Python 3.7: What’s New In The Latest Release

Used for general purpose programming, data science, website backends, GUIs, and pretty much everything else; the first programming language for many, and claimed to be the fastest growing in the world, is of course Python. The newest version 3.7.0 has just recently been released.
Naturally any release of Python, no matter how small, undergoes meticulous planning and design before any development is started at all. In fact, you can read the PEP (Python Enhancement Proposal) for Python 3.7, which was created back in 2016.

What’s new in 3.7? Why should you upgrade? Is there anything new that’s actually useful? I’ll answer these questions for you by walking through some examples of the new features. Whilst there’s not much in this release that will make a difference to the Python beginner, there’s plenty of small changes for seasoned coders and a few headline features you’ll want to know about.

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Quantum Computing For Computer Scientists

Quantum computing is coming, so a lot of people are trying to articulate why we want it and how it works. Most of the explanations are either hardcore physics talking about spin and entanglement, or very breezy and handwaving which can be useful to get a little understanding but isn’t useful for applying the technology. Microsoft Research has a video that attempts to hit that spot in the middle — practical information for people who currently work with traditional computers. You can see the video below.

The video starts with basics you’d get from most videos talking about vector representation and operations. You have to get through about 17 minutes of that sort of thing until you get into qubits. If you glaze over on math, listen to the “index array” explanations [Andrew] gives after the math and you’ll be happier.

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It’s All In The Libs – Building A Plugin System Using Dynamic Loading

Shared libraries are our best friends to extend the functionality of C programs without reinventing the wheel. They offer a collection of exported functions, variables, and other symbols that we can use inside our own program as if the content of the shared library was a direct part of our code. The usual way to use such libraries is to simply link against them at compile time, and let the linker resolve all external symbols and make sure everything is in place when creating our executable file. Whenever we then run our executable, the loader, a part of the operating system, will try to resolve again all the symbols, and load every required library into memory, along with our executable itself.

But what if we didn’t want to add libraries at compile time, but instead load them ourselves as needed during runtime? Instead of a predefined dependency on a library, we could make its presence optional and adjust our program’s functionality accordingly. Well, we can do just that with the concept of dynamic loading. In this article, we will look into dynamic loading, how to use it, and what to do with it — including building our own plugin system. But first, we will have a closer look at shared libraries and create one ourselves.

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Keep It Close: A Private Git Server Crash Course

At this point, everyone has already heard that Microsoft is buying GitHub. Acquisitions of this scale take time, but most expect everything to be official by 2019. The general opinion online seems to be one of unease, and rightfully so. Even if we ignore Microsoft’s history of shady practices, there’s always an element of unease when somebody new takes over something you love. Sometimes it ends up being beneficial, the beginning of a new and better era. But sometimes…

Let’s not dwell on what might become of GitHub. While GitHub is the most popular web-based interface for Git, it’s not the only one. For example GitLab, a fully open source competitor to GitHub, is reporting record numbers of new repositories being created after word of the Microsoft buyout was confirmed. But even GitLab, while certainly worth checking out in these uncertain times, might be more than you strictly need.

Let’s be realistic. Most of the software projects hackers work on don’t need even half the features that GitHub/GitLab offer. Whether you’ve simply got a private project you want to maintain revisions of, or you’re working with a small group collaboratively in a hackerspace setting, you don’t need anything that isn’t already provided by the core Git software.

Let’s take a look at how quickly and easily you can setup a private Git server for you and your colleagues without having to worry about Microsoft (or anyone else) having their fingers around your code.

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