Compact Python for Embedded
Within the embedded computing sphere, the programming language C has long been considered the standard. However, more complex applications and faster time-to-market requirements call for alternatives. Traditionally used for web and desktop applications, Python offers such an alternative, thanks to its support for C/C++ libraries and the provision of frameworks for processing complex algorithms. Those associated frameworks enable the development of complex algorithms used across data analytics, machine learning (ML), and artificial intelligence (AI) applications. Of course, these applications are hot topics within embedded computing and are driving the adoption of Python, especially within Industrial IoT (IIoT) at the edge.
Xilinx offers an open-source framework (PYNQ) that allows Python to interact with the Zynq portfolio. This is realized by hybrid libraries, which is a new form of libraries.
Such a hybrid library includes both a bitstream and the associated hardware-related C code, but also a programming interface (API) for Python. In this course you will learn the basics of programming with Python, which you will use in a workshop. You will then be able to develop prototypes based on Python on embedded systems in a short time.
- Python, PYNQ
Duration & Fee
Duration: 3 days
net per person including detailed training material, beverages during breaks and lunch
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