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  • Step 1 - Installation of Anaconda respectively jupyter
  • Step 2 - Installation of "pyserial"
  • Step 3 - Driver installation for the moduleStep 4 - Making the demos accessible for Jupyter
  • Step 5 4 - Starting Jupyter
  • Step 6 5 - Opening a demo
  • Step 7 6 - Alter the comport to yours
  • Step 8 7 - Running the demo
  • Annotations

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into the command prompt an press enter. This starts the search for software dependencies of pyserial,
you are asked to confirm the installation, to proceed press Y.
The console shows a message when pyserial is installed and thereafter the console is no longer needed
and can be closed.

Driver installation for the module

The communication with a module supposes a comport, and therefore a driver is required.
When connecting the module to your computer, windows starts the Automatic driver Installation,
but often the automatic driver installation fails and the driver needs to be installed manually.

So it is best practice to connect the module, give the operation system some time, and check
afterwards in the device manager for the appearance of a "comport" and two devices labelled
"USB Serial Convert A and B".

The device manager can be opened either via a right mouse click onto the windows symbol
or by pressing the windows button and typing device manager.

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When instead two devices labelled "Arrow USB Blaster" are listed under "other devices", the manual
approach has to be taken.
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Through a right mouse click on each device, a context menu opens. Chose "Update driver" afterwords chose
"Search automatically for updated driver software", this proper driver installation changes the devices names
into USB Serial Converter A & B, in addition, also the comport is installed.

Check its number (“COMx” ) and memorize it for the later use within the demos.

In dependency to the modules firmware, the driver installation can lead to the appearance of two comports,
in this instance, the higher numbered comport is of importance.

Link to further Information and an Installation Guide for Linux

Making the demos accessible for Jupyter

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