Embedded System Programming Basics | Microcontroller & Micropython
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Time to read 14 min
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Time to read 14 min
About this article
Embedded programming is at the heart of modern electronics, powering everything from smart appliances to wearable devices. For beginners, the journey often starts with a microcontroller like the Arduino, ESP32, Raspberry Pico, STM32 or alike. This article serves as a practical guide to embedded programming for beginners , explaining what it is, why microcontrollers matter, and how languages like C, MicroPython, and even AI-assisted tools can make the process more approachable. Along the way, we will look at practical examples of hardware and software integration, and finally introduce a hands-on kit designed to help learners bridge theory with practice.
Embedded programming is the practice of writing software that directly runs on hardware systems designed for specific tasks. Unlike general-purpose computers, these systems have tight constraints on memory, processing power, and energy consumption, which makes their programming both challenging and rewarding.
Let’s start with something everyone is familiar with: the computer. A computing system combines hardware and software that processe information. At the most general level, this includes desktops, laptops, and servers running operating systems such as Windows, macOS, or Linux. These systems are designed to be powerful and flexible, capable of running a wide variety of applications ranging from simple web browsing to demanding tasks like 3D modeling or video editing.
But while general-purpose computers can handle many tasks, not every device needs that level of flexibility, or size, or cost. In fact, most electronics around us are designed to perform just one or two dedicated functions, and this is where embedded systems come in.
An embedded system is a specialized computing system designed to perform a specific function, often within a larger device. Unlike general-purpose computers, which can run many types of applications, embedded systems are optimized for one or a few dedicated tasks.
For example, the microcontroller inside a washing machine only needs to manage water levels, motor speed, and timing. Similarly, a digital thermometer’s embedded system simply reads data from a sensor and displays the temperature on a small screen. These systems don’t need the flexibility of a full computer, but they must be reliable, efficient, and responsive.
Building on the points above, it helps to form a general picture of how an embedded system is structured. At its core, there is usually a processor (most cases is a microcontroller but can also be FPGA, DSP or some digital modules capable of arithmatic and logic computations. The digital module should be supported by modules such as A/D and D/A converters, memory, and interfaces that connect to the outside world. Our upcoming Digital System Design learning kit , planned for release by the end of 2025, will guide learners through a structured learning.
Because embedded systems usually operate under strict resource constraints, such as limited memory, lower processing power, and minimal energy consumption. They are often programmed with streamlined firmware that interacts directly with hardware. This makes them highly efficient for their intended role, even if they cannot multitask like a laptop or server. And this naturally brings us to the next question: what does it mean to program an embedded system, and how is it different from programming a regular computer?
The software that runs on an embedded system is often referred to as firmware . Unlike general-purpose software, which runs on top of an operating system, firmware is typically written to run very close to the hardware. It controls sensors, actuators, and communication modules directly, making sure the device reacts quickly and reliably to its environment.
A typical embedded program follows a simple cycle: read inputs, process information, and drive outputs. For example, in a smart lock system, the firmware reads signals from a keypad, checks the entered password against stored data, and then sends a command to a motor to unlock the door if the code is correct.
At the heart of most embedded systems is the microcontroller. Unlike a general-purpose computer, which relies on multiple chips for processing, memory, and input/output, a microcontroller integrates all of these functions into a single compact package. This integration makes it an ideal solution for small, dedicated devices where cost, power efficiency, and simplicity matter more than raw performance.
A microcontroller (MCU) is essentially a tiny computer on a chip that includes most modules we've outlined in previous section:
With just a microcontroller and a handful of external components, you can design a complete electronic system.
It’s common to confuse microcontrollers (MCUs) with microprocessors (MPUs). A MPU (like the one in a laptop) usually focuses only on computation, relying on external memory and peripheral chips to form a full system. In contrast, a MCU is self-contained and optimized for specific, real-time tasks. For example, where a MPU might power a desktop computer, a MCU could manage the control panel of a microwave oven.
Microcontrollers quietly power many devices we use every day. They control the timing in washing machines, manage signals in car braking systems, regulate power in chargers, and even bring intelligence to small gadgets like digital watches or fitness trackers. Whenever a device needs to sense, decide, and act, without running a full operating system, you will likely find a microcontroller at work.
Over the years, different MCUs have been widely adopted by students, hobbyists, and professionals, each has its own style: some are simple and beginner-friendly, while others are more powerful and suited for advanced projects. The table below gives a quick overview.
The RP2040 is Raspberry Pi’s first in-house microcontroller chip, launched in 2021. Unlike the company’s well-known single-board computers, the RP2040 was designed from the ground up for embedded applications: small, affordable, and highly flexible. Compared to another very popular beginner-friendly platform like Arduino, the RP2040 offers more modern performance with dual 32-bit cores, larger memory, and a unique programmable I/O system. This means learners are not only able to start with the same simple tasks but also have room to grow into more advanced projects without immediately outgrowing the hardware.
For beginners, the RP2040 strikes a sweet balance between accessibility and capability. It is affordable and widely available, with plenty of tutorials, examples, and community projects to follow. At the same time, it is not limited to only entry-level tasks. The extra processing power and memory mean learners can continue to build more advanced applications without quickly hitting limitations. This progression-friendly design makes it a natural choice for anyone starting embedded programming.
Programming Language
Microcontrollers are made of transistors, therefore they only understand machine language, which consists of long strings of 0s and 1s that directly control the hardware. Humans use natural language, which computers or MCUs cannot process. High-level languages like C/C++ or MicroPython act as a bridge, letting us write code in a human-friendly way that can be translated into machine instructions for microcontrollers.
MicroPython
MicroPython is the easiest entry point for RP2040. Its Python-like syntax makes it approachable, and you can blink LEDs or read sensors with only a few lines of code. It also supports interactive testing in a REPL, perfect for quick experiments. The trade-off is slower performance and limited access to some advanced hardware features.
C/C++
Programming in C or C++ gives full control and efficiency. It lets you use the chip’s speed, memory, and peripherals with minimal overhead, ideal for real-time or power-sensitive tasks. The drawback is a steeper learning curve: toolchain setup, memory handling, and more complex code. Many learners start with MicroPython, then move to C/C++ as projects grow.
Although the RP2040 is a complete chip, it is rarely used alone. For easier prototyping, manufacturers provide development boards that add essentials like voltage regulation, USB, and pin headers. This way, learners can focus on coding and connecting sensors without dealing with tiny pins or extra circuitry.
The Raspberry Pi Pico is the most common RP2040 board, breadboard-friendly and ready for hands-on projects. We also designed Stepico , which extends the Pico with useful upgrades such as a USB Type-C connector and four on-board full-color LEDs, making it better suited for education and structured learning.
To truly learn embedded programming, you need more than just software, you also need the right hardware kit to practice on. The kit shown here, Introduction to Microcontroller with RP2040, provides everything you need: a development board, peripheral modules, and a guided textbook. With this kit, you can follow structured experiments step by step while also trying out your own ideas.
Since the book already contains detailed tutorials, we won’t go into every instruction here. Instead, this section will serve as a roadmap, highlighting key steps, concepts, and example projects like LED blink and breathing lights to help you get started quickly and make the most of the kit.
Setting up the RP2040 is straightforward. Following the official instructions, you only need to download the latest UF2 file (a special firmware format that can be copied directly onto the board like moving a file to a USB drive). Once flashed, the board is ready to communicate with your computer. For a step-by-step guide, see our documentation here. With the board set up, the next step is choosing an IDE and trying your first example programs, which we will explore in the following section.
The most popular IDE for running MicroPython on the RP2040 is Thonny. Originally designed for Python beginners, Thonny is lightweight, easy to install, and now includes built-in support for MicroPython boards, making it a perfect match for the RP2040. Before moving on to more advanced effects, start with the simplest test: blinking an LED. This confirms that your board, firmware, and IDE are all set up correctly. Here’s a minimal example in MicroPython (there are multiple ways to write this so it does not have to be exact).
Once you have successfully made an LED blink, the next step is to create a breathing light effect. Unlike simple blinking, a breathing LED smoothly fades in and out, giving a natural “breathing” rhythm. This effect is achieved using Pulse-Width Modulation (PWM) , which controls how long the LED stays on during each cycle. By gradually increasing and decreasing the duty cycle, the brightness changes smoothly instead of switching abruptly.
On the Stepico board, four full-color LEDs are built in, allowing you to make not just a single breathing light but also colorful patterns. The figure below shows how the LEDs gradually light up and dim down in sequence, creating a more dynamic and visually appealing effect. This project is a great way to understand how hardware timers and PWM signals interact with physical components.
Once you master the basic breathing LED, you can start exploring many other patterns with just a few lines of MicroPython . For example, you can smoothly switch between colors , create a classic running light , or even combine the two into a flowing breathing effect . These exercises not only make your board look more lively, but also deepen your understanding of how PWM, loops, and timing work in embedded programming. Try to program and achieve these effects by yourself.
These examples on the board are not just playful tricks, many real-world systems use the same principles. For example, airport runway lights are essentially large-scale running lights that guide pilots safely during takeoff and landing. Similarly, the RGB breathing effects on gaming keyboards and mice are powered by the same PWM techniques you’re experimenting with here. By starting with small-scale LED projects, you are learning the exact foundations behind many real embedded applications.
Build a Memory Game with your microcontroller
Once you are comfortable experimenting with LED effects, you can move on to more interactive projects. A classic beginner-friendly example is the Memory Game , where multiple LEDs and push buttons are connected to the RP2040. The game lights up a sequence of LEDs, and your task is to repeat the pattern by pressing the correct buttons in order. As the game progresses, the sequence gets longer and more challenging.This project introduces not only LED control, but also input handling and logic programming , since the board must detect button presses, compare them with the stored sequence, and give feedback to the player. It’s a fun way to practice programming loops, arrays, and conditionals while building something that feels like a real game.
Blinking LEDs is a fun start, but it alone doesn’t make a true embedded system . To achieve richer functionality, projects also need memory and peripherals such as sensors, inputs, displays, and communication interfaces. Memory is essential for storing variables, tracking input, and running more complex programs beyond fixed patterns. So the kit also includes this integrated development board that combines these elements to work on more advanced projects.
Sensors are what allow an embedded system to sense the physical quantities such as displacement, force, heat, sound, humidity etc,. On this board, you will find a joystick, a gyroscope, and push buttons, all of which generate analog or digital signals. With the RP2040’s higher-resolution ADC, you can capture more precise data compared to entry-level boards like Arduino, enabling smoother control and better responsiveness.
Embedded systems rarely work in isolation. They rely on communication protocols to exchange information with memory, displays, or sensors. On this board, you will practice using UART, I²C, and SPI , the same standards found in professional devices. Whether it’s reading orientation from the gyroscope or writing data to flash storage, you’ll gain practical skills that map directly to real engineering workflows.
The built-in ST7789 TFT display introduces the challenge of rendering graphics. Thanks to the RP2040’s dual-core processor and efficient interfaces, you can achieve smooth animations and responsive visuals. From drawing simple shapes to building a full user interface, driving the display gives you immediate, visual feedback that makes embedded programming feel alive.
Once you have mastered sensors, communication, and displays, the platform becomes a playground for creativity. You can build practical tools like a resistor identifier or a bubble leveler , or dive into fun projects such as racing games, puzzle games, or even classic Tetris . All of these examples are available in our curated collection of applications demonstrating the range of what you can achieve on this board. Watch the demo video below.
You may have noticed that so far we’ve only shown a very simple LED blinking program, instead of long blocks of code. That’s because today many parts of embedded programming can be assisted by generative AI tools . For example, with tools like Claude , you can simply describe what you want, say “write a MicroPython script to create a breathing LED on RP2040” and within seconds it will generate working code. Here we show exactly how such a request can be answered, giving you a ready-to-run snippet without digging through manuals or tutorials.
AI is not a replacement for learning, but rather a smart assistant that helps you prototype faster, troubleshoot errors, and discover new ideas. If you also have a systematic grasp of embedded programming fundamentals and hardware knowledge, you can give AI more accurate prompts, receive more reliable results, and truly unlock its potential in your projects.
This is exactly why we built our Microcontroller Learning Kit. It was first launched on Kickstarter in July, where it quickly reached its goal and gained support from backers worldwide. Today it is officially available for purchase and the first-batch fulfillment is starting on mid-September. With this kit, you don’t just get the hardware, you receive a structured pathway that combines hardware and coding together, which help you connect theory with hands-on practice, and even make better use of AI-assisted coding by giving you the background knowledge needed to craft precise prompts.
Easy to start: beginner-friendly setup and tutorials
Complete hardware: RP2040 board, sensors, TFT screen, and more
Structured learning: guided experiments + textbook support
AI-ready: learn fundamentals that make AI coding more effective
Embedded programming is distinct from general-purpose computing, focusing on resource-constrained systems that integrate hardware and software for specific tasks.
The RP2040 microcontroller provides an accessible yet capable platform for learning, with support for both high-level languages like MicroPython and low-level C/C++ development.
Core skills such as sensor interfacing, communication protocols, and display control form the foundation for building complete embedded applications.
Generative AI tools can assist in code prototyping, but a systematic understanding of embedded concepts remains essential for effective use.
Embedded programming focuses on writing software for systems with constrained resources, such as microcontrollers that are optimized for specific tasks. Unlike general-purpose programming, it often involves direct interaction with hardware through sensors, actuators, and communication interfaces.
The RP2040 combines affordability with modern features like dual cores, flexible I/O, and sufficient memory. It is easy to start with, yet powerful enough to support more advanced projects, making it suitable as a long-term learning platform.
MicroPython is often recommended for beginners due to its simplicity and readability, allowing quick prototyping. C/C++ provides greater efficiency and control, which is important for performance-critical or professional applications. Many learners begin with MicroPython and later transition to C/C++.
Typical beginner projects include LED effects, button-controlled games, and sensor-based applications. With more experience, learners can build interactive displays, data loggers, or even small-scale IoT devices.
Yes. Generative AI tools such as Claude or ChatGPT can provide sample code, explain errors, and suggest new approaches. However, effective use depends on having a solid understanding of embedded principles, which ensures accurate prompts and correct interpretation of results.