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This allowed even more kids to experience microcontrollers and robotics programming for the first time. Most recently, Edublocks has taken the Micro:Bit and enabled a Scratch-like drag-and-drop Python experience. Thousands of classrooms suddenly had the option to run Python in their lessons!

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Damien, through his neighbor, acquired one of these boards and quickly got his code running. Their goal was to get a microcontroller board into the hands of every school student in the UK.

The fact that no development environment is required is only an added bonus!ДЄ few years ago, the BBC launched its Micro:Bit project to get more kids into computing beyond office-style applications. The basic syntax and bundled interpreter lend these languages to an effective learning environment. Python and MicroPython are both well-placed for teachers and students alike. STEM subjects have been under the education microscope for several years, which has led to an explosion of projects and products targeting the classroom. At that point, MicroPython will truly take off.

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YouвЂ™ll increasingly see a critical mass of hobbyists and learners move into academia, and from there into the professional world of electronics. So, is MicroPython ready for serious, mission-critical work? ESA, the European Space Agency, seems to think so! They helped fund DamienвЂ™s work on MicroPython because they wanted to use Python in space.

Many came to realize the benefits of using MicroPython, as well as specifying Python and MicroPython together, not least for rapid prototyping and faster time-to-market. These developers may have come from more mature platforms, like Arduino or PIC. Over the years, MicroPython has attracted professionals and hobbyists from other platforms who see the potential and convenience of the language. Along with testing and supporting the codebase itself, developers contribute tutorials, code libraries, and hardware ports, taking the project far beyond what Damien could have achieved alone. MicroPython is supported by a diverse community of Pythonistas who have a deep interest in seeing the project succeed.

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If youвЂ™re interested to learn more about the differences between CPython and MicroPython, then you can check out a full breakdown on the official GitHub repo. That opened up a whole new world of potential. Yet somehow, Damien managed to squeeze a powerful, high-performing, compact Python implementation down into these miniature computers. If you want to interface with hardware, then you need all code to enable that. MicroPython has no help to deal with all the intricacies of code execution, IO, storage, booting, and so on. Essentially, it sits on top of the processors with clock speeds harking back to the 1980s and 90s. In the microcontroller world, however, MicroPython is the operating system. They also need fully-fledged operating systems, device drivers, and true multitasking. Desktop and server hardware requires gigahertz processors, gigabytes of RAM, and terabytes of storage. While this presented many challenges, there were also copious opportunities. Thanks to over 1,900 backers, he reached just shy of ВЈ100,000.ДЇinally, Python had moved off of desktops and servers and into the world of sensors, actuators, motors, LCD displays, buttons, and circuits. Many developers jumped at the chance, not only to use Python on microcontrollers but also to get an early version of DamienвЂ™s own reference hardware, which was built especially for the task! In fact, by the end of the campaign, Damien had blown past his ВЈ15,000 goal. His Kickstarter campaign was an attempt to back his development while he turned his proof of concept into a finished implementation. He wanted to move the Python world from machines that worked with capacities in the gigabytes down to the kilobytes. Damien, an undergraduate at Cambridge University, was an avid robot programmer. Developers working with microcontrollers had not yet adopted the language.ДЄll of that changed in 2013 when Damien George launched a Kickstarter campaign. But for a long time, there was one field where Python use was conspicuously missing. These days, itвЂ™s used everywhere from DevOps to statistical analysis, and even in desktop software.

PythonвЂ™s popularity has skyrocketed in recent years.

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