Installation of Jupyter
The modules TEI0010, TEI0015 and TEI0016 offer software demonstrations of their basic functionality and
communication interface. This manual provides a step by step guide for installing the required software and
running the demos in general.
For the ease of accessibility and programmability the language Python (since version 3.5) has been chosen.
The project Jupyter provides an excellent and open source entry for beginners and professionals.
Jupyter files are called Notebooks and have the ending fileName.ipynb, this manual refers to them as demo.
The following description of steps applies in its details to computers running windows 10, for other
operation systems, the steps are in general similar.
So running and editing the Demos requires the following steps:
- Step 1 - Installation of Anaconda respectively jupyter
- Step 2 - Installation of "pyserial"
- Step 3 - Driver installation for the module
- Step 4 - Making the demos accessible for Jupyter
- Step 5 - Starting Jupyter
- Step 6 - Opening a demo
- Step 7 - Alter the comport to yours
- Step 8 - Running the demo
Installation of Anaconda respectively Jupyter
The simplest way to execute the demos in Jupyter is accomplished throw the installation of Anaconda.
This will install more than is needed but nearly all requirements in one step.
The Anaconda website provides detailed instructions on how to install the application, just follow this link.
If the installer offers you the installation of optional applications, just skip those, they are
not needed to run the demos or edit their code.
Installation of Pyserial
At least with Anaconda installation on Windows, pyserial (python serial port support library) is not
included and has to be installed. This can be done from the Anaconda command prompt. To open the
Anaconda command prompt, just press the windows key, type Anaconda prompt and open it. Enter
conda install -c anaconda pyserial
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.
When instead two devices labelled "Arrow USB Blaster" are listed under "other devices", the manual
approach has to be taken.
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.
Making the demos accessible for Jupyter
The demos for a module are compressed into a zip archive and need to be extracted, to be accessible for
Jupyter. Jupyter has access to the user folder, so a convenient way is to copy the extracted demo folder
into your users folder, for example:
To open Jupyter, press the windows key and type Jupyter, this presents "Jupyter Notebook (AnacondaX)" to you,
from which one can start Jupyter.
Jupyter is based on the server client structure, the server is executed in the background, and the client is a webpage
inside your default browser.
So opening it starts the server, which opens a console displaying status messages of the server.
The console must be open all the time, you want Jupyter to run. You can minimize it.
Opening a demo
To open a demo, one hat to navigate to the desired demo via the Jupyter tab. The Jupyter tab inside your browser
displays your user folder, left clicking on a folder opens it. Notebooks have the ending .ipynb, clicking on a demo
file opens it inside a new tab.
In the pictures below the steps are shown.
- Home folder / Jupyter tab
- Folder - AnalogMax
- Demo - AnalogMax_Accelerometer_Demo
Alter the comport to yours
Every demo communicates with the module by a serial communication port. This port has been assigned
a number during the driver installation. In our case it is COM5.
In dependency to the code of a demo, there are two variants.
At the beginning of the Notebook is a line:
ser = serial.Serial('COM5', 115200)
comport = 'COM5'
Replace the comport number in red with yours and save this change by pressing "s" whilst holding the
control key (Ctrl + s).
Some demos contain a graphical user interface. The available comport will be presented
automatically and can be selected trough the GUI.
As an option, a default comport and module can be set at the beginning of the notebook.
Running the demo
A notebook consists of cells, in which its content resides. Demos so far only contain one cell, to run the demo,
the PC's focus must be upon the cell, left clicking into the cells source code focuses this cell.
Now the demo can be run through pressing the run button,
stopped by the button with the black rectangular,
reloaded through the circular arrow and lastly
reloaded and rerun by the two arrowed button.
The notebook can be closed either by closing the tab or via File → "Close and Halt".
Often demos gather data from the module and display them in graph plots.
All output of a notebooks cell is displayed below the cell.
- The demos are linked to Jupyter through the import and use of only the following modules:
IPython - Interacting from within the Notebook with its output / plots
ipywidgets - Interactive Widgets/GUI elements for the Jupyter Notebook
- Show line numbers inside a notebook: View → Toggle Line Numbers