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At line 3 added one line
It comes with a C SDK, a GCC-based toolchain, Visual Studio Code integration, and can be programmed in __[Micropython]__.
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From the ''[Pico release announcement|https://www.raspberrypi.org/blog/raspberry-pi-silicon-pico-now-on-sale/]'':
%%blockquote
And this isn’t just a powerful chip: it’s designed to help you bring every last drop of that power to bear. With six independent banks of RAM, and a fully connected switch at the heart of its bus fabric, you can easily arrange for the cores and DMA engines to run in parallel without contention.
For power users, we provide a complete C SDK, a GCC-based toolchain, and Visual Studio Code integration.
As Cortex-M0+ lacks a floating-point unit, we have commissioned optimised floating-point functions from Mark Owen, author of the popular [Qfplib|https://www.quinapalus.com/qfplib.html] libraries; these are substantially faster than their GCC library equivalents, and are licensed for use on any RP2040-based product.
With two fast cores and and a large amount of on-chip RAM, RP2040 is a great platform for machine learning applications. You can find Pete Warden’s port of Google’s [TensorFlow Lite|https://www.tensorflow.org/lite] framework [here|https://github.com/raspberrypi/pico-tflmicro]. Look out for more machine learning content over the coming months.
For beginners, and other users who prefer high-level languages, we’ve worked with Damien George, creator of [MicroPython|https://micropython.org/], to build a polished port for RP2040; it exposes all of the chip’s hardware features, including our innovative PIO subsystem. And our friend Aivar Annamaa has added RP2040 MicroPython support to the popular
[Thonny|https://thonny.org/] IDE.
%%
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* [Meet Raspberry Silicon: Raspberry Pi Pico now on sale at $4|https://www.raspberrypi.org/blog/raspberry-pi-silicon-pico-now-on-sale/] (release announcement)