PyJupyter

PyJupyter

The PyJupyter package is a set of Jupyter notebooks built to ease the learning of Python coding and the use of the code to solve engineering and scientific problems.

Example of Jupyter notebook

The notebooks provide a good way to merge together the theoretical explanations and the calculations so it is easy to use it as a sandbox for what if... escenarios.

The PyJupyter project also provides a common framework so that different users can share notebook documents using zip files as there is an specific Extra folder for this particular use.

To ease the use of the software, ETSETB estudents and professors can use a virtual machine so that a minimal software installation is needed on Windows, Linux or OS X. The following reference contains a manual to access this virtual machine:

Python Virtual Machine.pdf

Althoug using a virtual machine is the easiest way to access to PyJupyter, it is not the most responsive due to the internet communication overhead. If you want to use it locally you can read the installation manuals for Windows and Linux:

PyJupyter Windows Installation

PyJupyter Linux Installation

In that case you will need to get the PyJupyter files, you can find them on GitHub:

https://github.com/R6500/PyJupyter

And you can also obtain them in this link.

Errata for v1.0

This section contains errata information for the v1.0 release. The reported errors have been corrected in the current v1.1 release but they are still present in the Virtual Machine that hosts the v1.0 version.

• Audio example contains, in the 4th code cell, a call to a calc.setColaboratory function that generates an error. Just remove the line that contains this call to correct it. Later, in the same document, when dealing with wav files, another code cell generates a similar error. Just ignore the error and continue to the next cell.

Need help?

If you have any particular question about the PyJupyter system you can contact with:

 Vicente Jiménez
 C4-006 Campus Nord
 vicente.jimenez@upc.edu