PYNQ is an open-source project from Xilinx®that makes it easy to design embedded systems with Xilinx Zynq® Systems on Chips (SoCs).
Using the Python language and libraries, designers can exploit the benefits of programmable logic and microprocessors in Zynq to build more capable and exciting embedded systems.
PYNQ users can now create high performance embedded applications with
parallel hardware execution
high frame-rate video processing
hardware accelerated algorithms
real-time signal processing
high bandwidth IO
low latency control
PYNQ is intended to be used by a wide range of designers and developers including:
Software developers who want to take advantage of the capabilities of Zynq and programmable hardware without having to use ASIC-style design tools to design hardware.
System architects who want an easy software interface and framework for rapid prototyping and development of their Zynq design.
Hardware designers who want their designs to be used by the widest possible audience.
Jupyter Notebookis a browser based interactive computing environment. Jupyter notebook documents can be created that include live code, interactive widgets, plots, explanatory text, equations, images and video.
A PYNQ enabled Zynq board can be easily programmed in Jupyter Notebook using Python.
Using Python, developers can use hardware libraries and overlays on the programmable logic. Hardware libraries, or overlays, can speed up software running on a Zynq board, and customize the hardware platform and interfaces.
The PYNQ image is a bootable Linux image, and includes the pynq Python package, and other open-source packages.