*First, a an FIR filter was generated using the wizard [https://www.xilinx.com/products/intellectual-property/fir_compiler.html FIR Compiler] provided by Vivado.

*Using Jupyter Notebooks, the a simple Python test code was edited and runto exercise the filter.

*To move files to/from Jupyter Notebook it is convenient to share the home directory of the target's <code>xilinx </code> user. For instance, to access the Pynq home area as a network drive via Samba protocol:

*Insert location <code>smb://192.168.2.99/xilinx</code>*Log as ''<code>xilinx'' </code> with password ''<code>xilinx''</code>.

This section describes how to write and run python code on the web interface.In essence we - create * created a new notebook by clicking on the "''New" '' button at the top and select "''Python 3"'' - select "*selected ''Code" '' on the top bar and write some Python code - click "* clicked ''Run" '' on the top bar to run code on kernel.

The procedure was tested For more deatils, please refer to the section [http://www.fpgadeveloper.com/2018/03/how-to-accelerate-a-python-function-with a -pynq.html ''Software FIR filter from using SciPy library applied to a noisy signal''].

/* vedi http://www.fpgadeveloper.com/2018/03/how-to-accelerate-===Implementing ahardware-python-function-with-pynq.html fino al paragrafo "Software accelerated version of the FIR filter using SciPy" */in PL===

- First, a an FIR filter was generated using the wizard provided by Vivado.