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Read AMDC user guide Host Interface section and demonstrate using Python for AMDC communication
Approach
Obtain a gigabit Ethernet adapter for your computer that can be dedicated to the AMDC (i.e., if you are using an Ethernet port for internet, you need a secondary adapter for the AMDC).
Read the AMDC user guide Host Interface section, including the Python Wrapper subpage.
Use the Python, along with the Python Wrapper class to communicate with your AMDC over UART. Prove that this is working by profiling your VSI task, like you did in Create a GitHub PR that implements tutorial 5 (profiling tasks) #14, only now using Python function calls. Provide a copy-paste in your comments as proof that this is working.
Follow the instructions for configuring your Ethernet adapter for communication with the AMDC.
Repeat step 3, but now using Ethernet.
Notes on setting up your Python environment
It is open-ended and flexible as to how you use Jupyter and Python for this. Many students in the lab have found that they prefer to use the Anaconda packages, operate Jupyter within VS Code (instead of a browser), and use virtual environments. Group resources on this include the following:
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changed the title
Read AMDC user guide Host Interface section and demonstrate Ethernet communication
Read AMDC user guide Host Interface section and demonstrate using Python for AMDC communication
May 29, 2024
Abstract
Read AMDC user guide Host Interface section and demonstrate using Python for AMDC communication
Approach
Python Wrapper
subpage.Python Wrapper
class to communicate with your AMDC over UART. Prove that this is working by profiling your VSI task, like you did in Create a GitHub PR that implements tutorial 5 (profiling tasks) #14, only now using Python function calls. Provide a copy-paste in your comments as proof that this is working.Notes on setting up your Python environment
It is open-ended and flexible as to how you use Jupyter and Python for this. Many students in the lab have found that they prefer to use the Anaconda packages, operate Jupyter within VS Code (instead of a browser), and use virtual environments. Group resources on this include the following:
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