Pylance - IntelliSense on steroids for Python.MagicPython - Advanced syntax highlighting for Python 3.
THONNY PI PICO CODE
I'm a big fan of meeting developers where they are (via popular languages AND tooling), so leveraging the uber-popular Visual Studio Code for developing on my Pico is where I'm going to start.Īside from the productivity improvements you get from VS Code out of the box, for Python-specific development there are a few additional extensions I highly recommend:
I'm missing my productivity extensions, syntax autocompletion, error highlighting, and built-in terminal provided by Visual Studio Code. The problem with Thonny is that it only takes you so far. If you have previous experience working with Raspberry Pi and MicroPython, your default IDE is probably Thonny:ĭon't get me wrong, Thonny is a super fun little IDE to work with. The Pico port of MicroPython also includes additional modules for accessing Pico-specific hardware. MicroPython, being a trimmed down implementation of Python, is a nearly perfect solution for programming your Pico. MicroPython is a lean and efficient implementation of the Python 3 programming language that includes a small subset of the Python standard library and is optimised to run on microcontrollers and in constrained environments.Īnd recall, we are working on a $4 MCU with minimal memory (264KB). The MicroPython docs do a nice job of explaining what it is: While I fully admire all of you C developers out there, I gravitate towards higher level languages like Python due to their ease of use and developer experience. Let's take a look at how we can go from unboxing our Pico to becoming productive IoT developers by utilizing an established language (MicroPython) and a universally adored IDE (Visual Studio Code).Īs just mentioned, you can develop on the Pico MCU using either C/C++ or MicroPython. As with other Raspberry Pi hardware, it's developer-friendly and can be programmed with C/C++ and MicroPython (a Python implementation for microcontrollers). Think in terms of controlling motors, reading sensors, cellular connectivity, and even machine learning. the Raspberry Pi 1/2/3/4 models), the Pico was designed for use in a variety of physical computing solutions.
While Raspberry Pis are best known as single board computers (e.g. This $4 USD (not a typo!) device is not only a low-cost entry into the Raspberry Pi ecosystem, it's also surprisingly useful for embedded IoT development. The Raspberry Pi Foundation recently released their first microcontroller board, the Raspberry Pi Pico.
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