Launchpad MIDI Controller Put To Work With Python

For Hackaday readers who might not spend their free time spinning electronic beats at raves, the Launchpad by Novation is a popular peripheral for creating digital music with tools such as Ableton Live. It’s 8×8 grid of RGB LED backlit buttons are used to trigger different beats and clips by sending MIDI commands to the computer over USB. While not a strict requirement for performing digital music, it also helps that it looks like you’re flying a spaceship when using it.

It’s definitely a slick piece of gear, but the limited stock functionality means you’re unlikely to see one outside of the Beat Laboratory. Though that might change soon thanks to LPHK, created by [Ella Jameson]. She’s created a program in Python that allows you to use the Novation Launchpad as a general purpose input device. But rather than taking the easy way out by just turning the hardware into a USB HID device or something along those lines, LPHK implements an impressive set of features including its own internal scripting language.

In the video after the break, [Ella] walks us through some basic use cases, such as launching programs or controlling the system volume with individual buttons. LPKH has a GUI which provides a virtual representation of the Launchpad, and allows configuring each button’s color and function as well as saving and loading complete layouts.

For more advanced functionality, LPHK utilizes a scripting language that was inspired by the Hak5 USB Rubber Ducky. Scripts are written with plain English commands and very simple syntax, meaning you don’t need to have any programming experience to create your own functions. There’s also a script scheduling system with visual feedback right on the board: if a button is pulsing red it means it has a script waiting for its turn to execute. When the key is rapidly flashing the script is actively running. A second tap of the button will either remove it from the queue or kill the running script, depending on what the status was when you hit it.

[Ella] makes it clear this software is still a work in progress; it’s not as polished as she’d like and still has bugs, but it’s definitely functional for anyone who’s looking to wring a bit more functionality out of their $150 Launchpad. She’s actively looking for beta testers and feedback, so if you’ve already got one of these boards give it a shot and let her know what you think.

In the past we’ve seen hackers fiddling with the open source API Novation released for their Launchpad controllers, but overall there hasn’t been a lot of work done with these devices. Perhaps that will soon change with powerful software like this in development.

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Low-cost Autonomous Rover Will Drive Your Projects

[Miguel] wanted to get more hands-on experience with Python, so he created a small robotic platform as a testbed. But as such things sometimes go, it turns out the robot he created is a worthy enough project in its own right. With a low total cost and highly flexible design, it might be exactly what you’re looking for. Who knows, it might even bootstrap that rover project that’s been wandering around the back of your mind.

The robot makes use of an exceptionally simple 3D printed frame. No complicated suspension to worry about, no fasteners to hold together multiple printed parts. It’s just a single printed “L” shaped piece that has mounts for the motors and front sensor board. As designed it simply drags its tail around, which should work fine on smooth surfaces, but might need a bit of tweaking if you plan on taking your new robotic friend on an outdoor adventure.

There’s a big open area on the “tail” to mount a Raspberry Pi, but you could really put whatever board or microcontroller you wish here. In the nose is an HC-SR04 ultrasonic sensor, which [Miguel] is using to perform obstacle avoidance in his Python code. A dual H-Bridge motor driver controls the pair of gear motors in the front to provide propulsion and steering, and a buck converter steps down the 7.4V from the 2S LiPo battery to power the electronics. He’s even included a mini breadboard so you can add circuits or sensors as experimental payloads.

If you’re looking for a slightly more advanced 3D printed robotics platform, we’ve seen our fair share. From the nearly fully printed Watney to a tank that looks like it’s ready for front-line combat.

Learn To Loop The Python Way: Iterators And Generators Explained

If you’ve ever written any Python at all, the chances are you’ve used iterators without even realising it. Writing your own and using them in your programs can provide significant performance improvements, particularly when handling large datasets or running in an environment with limited resources. They can also make your code more elegant and give you “Pythonic” bragging rights.

Here we’ll walk through the details and show you how to roll your own, illustrating along the way just why they’re useful.

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Make Your Python Prettier With Decorators

Many Pythonistas are familiar with using decorators, but far fewer understand what’s happening under the hood and can write their own. It takes a little effort to learn their subtleties but, once grasped, they’re a great tool for writing concise, elegant Python.

This post will briefly introduce the concept, start with a basic decorator implementation, then walk through a few more involved examples one by one.

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Rover V2 Handles Stairs As Easily As The Outdoors

Rover V2 is an open-source, 3D-printable robotic rover platform that has seen a lot of evolution and development from its creator, [tlalexander]. There are a number of interesting things about Rover V2’s design, such as the way the wheel hubs themselves contain motors and custom planetary gearboxes. This system is compact and keeps weight down low to the ground, which helps keep a rover stable. The platform is all wheel drive, and moving parts like the suspension are kept high up, as far away from the ground as possible. Software is a custom Python stack running on a Raspberry Pi that provides basic control.

The Rover V2 is a full mechanical redesign of the previous version, which caught our attention with its intricate planetary gearing inside the wheel hubs. [tlalexander]’s goal is to create a robust, reliable rover platform for development that, thanks to its design, can be mostly 3D printed and requires a minimum of specialized hardware.

Stop Using Python 2: What You Need To Know About Python 3

Though Python 3 was released in 2008, many projects are still stuck on Python 2.

It’s understandable that porting large existing codebases to a new version is a prospect which sends a shiver down many a developer’s spine. But code inevitably needs to be maintained, and so when all the shiny new features that would fix everything are in a new version, is it really worth staying rooted in the past?

We’ll take you through some of the features that Python 2 programs are missing out on, not only from 3.0 but up to the current release (3.7).

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Python Resurrects Dot Matrix Printing

These days a printer — especially one at home — is likely to spray ink out of nozzles. It is getting harder to find home laser printers, and earlier printer technologies such as dot matrix are almost gone from people’s homes even if you’ll still see a few printing multipart forms in some offices.

[Thomas Winningham] bought an old Commodore dot matrix printer in a fast food parking lot for $20. How hard could it be to get it working? How hard, indeed. Check out the video below to see the whole adventure. The principle behind the printer is simple enough. The head has one or two rows of pins each controlled by a solenoid. The head moves across the paper and your job — should you decide to accept it — is to make the pins push out at the right spot. An ink ribbon like a typewriter uses — oh yeah, more vanishing tech — leaves ink on the paper where it gets punched by the pin.

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