In the January
2018 issue ofCQ’s Interfacemagazine, authors Nakahara Hiaki and Masuro Suzuki present a deep dive into Python programming in a special feature titled “Research on Real-Time Python”. This feature is the first print publication to present theArty Z7 Zynq-7000 Development Boardas a Python programming platform with numerous supporting projects to get you running in no time. Using thePython environmentdeveloped for thePYNQ-Z1 Development Board(PYNQ = Python + Zynq), the authors review setting up the Arty Z7 (from configuration to real time image recognition) before introducing multiple I/O projects using a variety of Digilent Pmods. Continue reading to learn more about the projects covered and additional resources for your Python based applications.
The featured article inInterfacemagazine spans pages 40-68 and is divided into four chapters covering real-time Python applications. In Chapter 1, the authors begin with a brief introduction to Python and the benefits of programming in an integrated development environment. They then transition into Chapter 2 with our first look at theArty Z7作为一个Python编程平台。介绍了作为一个“$200 FPGA control board that can also be used from Python” the Arty Z7 is chosen due to its ability for use with a previously developed Python environment for thePYNQ-Z1 hardware. While the Arty Z7 does not include the electret microphone with PDM output present on the PYNQ-Z1, both boards are built around the Xilinx ZYNQ XC7Z020-1CLG400C APSoC, making the Arty Z7 an ideal drop-in substitution and Python development solution. The second chapter is concluded with Suzuki walking readers through the two step PYNQ environment installation process and a real time image recognition application using the HDMI input/output and a USB camera.
New expectations of hardware familiarity segue into the beginning of Chapter 3 where Suzuki introduces a variety of I/O control projects featuring selectDigilent Pmodsand an Arduino. The first two projects lead users through simple modifications, using thePmod OLEDandPmod ALS(both with available source code on thePYNQ.io website) to get users comfortable with the PYNQ environment. This chapter ends with three more projects teaching users how to control the MIDI interface, use SPI devices with GPIO, and controlling an LED with GPIO.
Read more about theArty Z7as a useful Python development platform in theJanuary 2018 issue of Interfacemagazine(Note:written in Japanese), or attempt each project on your own by visiting the open-sourcePYNQ.io website. You can also visit theArty Z7 Wikifor additional documentation, tutorials, projects, and more to support your development needs.
Let us know your favorite use for the Arty Z7 in the comments below or share your storyon social mediaby tagging us@Digilentinc.
