Easily Program RP2040 Boards With Your Android Device

You could write your microcontroller code on your desktop PC, or you could do it on your laptop on the go. Or, if you want to get really portable about things, you could write your embedded code on your phone. Enter DroidScript.

Basically, DroidScript is a JavaScript and Python IDE for Android phones and tablets. Simple enough. You can use it to write apps for your phone or tablet. But its party piece? You can now also use it to program for embedded devices—namely, a range of those based on the RP2040 microcontroller. For example, the Adafruit QT-Py RP2040, the Pimoroni TinyFX, or the Pimoroni Yukon. They run MicroPython and CircuitPython, and you can program them from DroidScript. Easy.

A decade ago, this would have been a royal pain in the butt. But today? It’s easy, because the smartphones and devboards both use USB-C connectors. All you need is a regular USB-C cable and you can hook straight up to the board and burn your code.

You can get the app on the Google Play Store if you’re so inclined. We’ve seen some other neat smartphone programming projects over the years, too. Meanwhile, if you’ve found any other nifty ways to get your code on to a dev board, don’t hesitate to let us know!

New Release Of Vision Basic: Hot New Features!

As the Commodore 64 ages, it seems to be taking on a second life. Case in point: Vision BASIC is a customized, special version of the BASIC programming language with a ton of features to enable Commodore 64 programs to be written more easily and with all sorts of optimizations. We’ve tested out both the original 1.0 version of Vision BASIC, and now with version 1.1 being released there are a whole host of tweaks and updates to make the experience even better!

One of the only limitation of Vision BASIC is the requirement for expanded RAM. It will not run on an unexpanded C64 — but the compiled programs will, so you can easily distribute software made using Vision on any C64. A feature introduced in version 1.1 is support for GeoRAM, a different RAM expansion cartridge, and modern versions of GeoRAM like the NeoRAM which has battery-backed RAM. This allows almost instantaneous booting into the Vision BASIC development environment.

Some of the standout features include a doubling of compilation speed, which is huge for large programs that take up many REU segments in source form. There are new commands, including ALLMOBS for setting up all sprites with a single command; POLL to set up which joystick port is in use; CATCH to wait for a particular scanline; and plenty more! Many existing commands have been improved as well. As in the original version of Vision BASIC, you can freely mix 6510 assembly and BASIC wherever you want. You can use the built-in commands for bitmaps, including panning, collision detection, etc., or you can handle it in assembly if you want! And of course, it comes with a full manual — yes, a real, printed book!

One of the nice features of Vision BASIC is the customization of the development environment. On the first run, after agreeing to the software terms, you enter your name and it gets saved to the Vision BASIC disk. Then, every time you start the software up, it greets you by name! You can also set up a custom colour scheme, which also gets saved. It’s a very pleasant environment to work in. Depending on how much additional RAM you have, you can hold multiple program segments in different RAM banks. For example, you could have all your source code in one bank, all your bitmaps and sprites in another, and your SID tunes in yet another. The compiler handles all this for you when you go to compile the program to disk, so it’s easy to keep large programs organized and easy to follow.

If you’ve always wanted to write a game or application for the C64 but just didn’t know how to get started, or you felt daunted at having to learn assembly to do sprites and music, Vision BASIC is a great option. You will be blown away at the number of commands available, and as you become more experienced you can start to sprinkle in assembly to optimize certain parts of your code if desired.

From High Level Language To Assembly

If you cut your teeth on Z-80 assembly and have dabbled in other assembly languages, you might not find much mystery in creating programs using the next best thing to machine code. However, if you have only used high level languages, assembly can be somewhat daunting. [Shikaan] has an introductory article aimed to get you started at the “hello world” level of x86-64 assembly language. The second part is already up, too, and covers control structures.

You can argue that you may not need to know assembly language these days, and we’ll admit it’s certainly not as important as it used to be. However, there are unusual cases where you really need either the performance or the small footprint, which is only possible in assembly language. What’s more, it is super useful to be able to read assembly from your high-level tools when something goes wrong.

Of course, one of the problems is that each assembly language is different. For example, knowing that the x86 assembly doesn’t completely transfer to ARM instructions. However, in most cases, the general concepts apply, and it is usually fairly easy to learn your second, third, or fourth instruction set.

We’ve had our own tutorials on this topic. You can also debate if you should learn assembly first or wait, although in this case, the audience is people who waited.

Assessing The Energy Efficiency Of Programming Languages

Programming languages are generally defined as a more human-friendly way to program computers than using raw machine code. Within the realm of these languages there is a wide range of how close the programmer is allowed to get to the bare metal, which ultimately can affect the performance and efficiency of the application. One metric that has become more important over the years is that of energy efficiency, as datacenters keep growing along with their power demand. If picking one programming language over another saves even 1% of a datacenter’s electricity consumption, this could prove to be highly beneficial, assuming it weighs up against all other factors one would consider.

There have been some attempts over the years to put a number on the energy efficiency of specific programming languages, with a paper by Rui Pereira et al. from 2021 (preprint PDF) as published in Science of Computer Programming covering the running a couple of small benchmarks, measuring system power consumption and drawing conclusions based on this. When Hackaday covered the 2017 paper at the time, it was with the expected claim that C is the most efficient programming language, while of course scripting languages like JavaScript, Python and Lua trailed far behind.

With C being effectively high-level assembly code this is probably no surprise, but languages such as C++ and Ada should see no severe performance penalty over C due to their design, which is the part where this particular study begins to fall apart. So what is the truth and can we even capture ‘efficiency’ in a simple ranking?

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Get Thee To Git

While version control used to be reserved for big corporate projects, it is very mainstream these days. You can attribute much of that to Git, the software that has nearly displaced other version control. Git works well, it is versatile, and it scales well. It is easy to use as an individual developer or as part of a worldwide team. But Git is also one of those things that people don’t always study, they just sort of “pick it up” as they go. That motivated [Glasskube] to create “The Guide to Git I Never Had.”

If you are ready to click away because you are not a software person, hang on. Git is actually useful for many different kinds of data, and there are a number of hardware projects that use Git in some form. That’s especially true if the project has some code associated with it, but there are projects that consist of PCBs, reverse engineering documentation, or schematics.

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A Windows Control Panel Retrospective Amidst A Concerning UX Shift

Once the nerve center of Windows operating systems, the Control Panel and its multitude of applets has its roots in the earliest versions of Windows. From here users could use these configuration applets to control and adjust just about anything in a friendly graphical environment. Despite the lack of any significant criticism from users and with many generations having grown up with its familiar dialogs, it has over the past years been gradually phased out by the monolithic Universal Windows Platform (UWP) based Settings app.

Whereas the Windows control panel features an overview of the various applets – each of which uses Win32 GUI elements like tabs to organize settings – the Settings app is more Web-like, with lots of touch-friendly whitespace, a single navigable menu, kilometers of settings to scroll through and absolutely no way to keep more than one view open at the same time.

Unsurprisingly, this change has not been met with a lot of enthusiasm by the average Windows user, and with Microsoft now officially recommending users migrate over to the Settings app, it seems that before long we may have to say farewell to what used to be an intrinsic part of the Windows operating system since its first iterations. Yet bizarrely, much of the Control Panel functionality doesn’t exist yet in the Settings app, and it remain an open question how much of it can be translated into the Settings app user experience (UX) paradigm at all.

Considering how unusual this kind of control panel used to be beyond quaint touch-centric platforms like Android and iOS, what is Microsoft’s goal here? Have discovered a UX secret that has eluded every other OS developer?

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Putting A Pi In A Container

Docker and other containerization applications have changed a lot about the way that developers create new software as well as how they maintain virtual machines. Not only does containerization reduce the system resources needed for something that might otherwise be done in a virtual machine, but it standardizes the development environment for software and dramatically reduces the complexity of deploying on different computers. There are some other tricks up the sleeves as well, and this project called PI-CI uses Docker to containerize an entire Raspberry Pi.

The Pi container emulates an entire Raspberry Pi from the ground up, allowing anyone that wants to deploy software on one to test it out without needing to do so on actual hardware. All of the configuration can be done from inside the container. When all the setup is completed and the desired software installed in the container, the container can be converted to an .img file that can be put on a microSD card and installed on real hardware, with support for the Pi models 3, 4, and 5. There’s also support for using Ansible, a Docker automation system that makes administering a cluster or array of computers easier.

Docker can be an incredibly powerful tool for developing and deploying software, and tools like this can make the process as straightforward as possible. It does have a bit of a learning curve, though, since sharing operating system tools instead of virtualizing hardware can take a bit of time to wrap one’s mind around. If you’re new to the game take a look at this guide to setting up your first Docker container.