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In our notebook, we can write out a simple a python command that will list available packages:  After writing this command, we hit the “play” button to run this cell:  Click on the package list image to the right to see output At first glance, it looks rather comprehensive. We have a long list of software packages available to us. This is misleading. These packages |  |
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New Cell in our Notebook
After running our last cell, a new cell is automatically created at the bottom extending our notebook
New empty cell is at the bottom.
Previous cell and output from that previous cell’s run is above our new cell
We can also manually create a new cell with the + button
In this cell, lets run another python command to import a common package used in mathematic and multi dimensional matrix computations - numpy.
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Then run it like we did the last cell.
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This error message indicates the numpy package isn’t installed, despite being a commonly used software package.
Our first cell’s output appears to be misleading. The listed packages are installed, but they are all needed simply to run Jupyter.
Most software we’d need to perform even more simple and common activities for our research would still need to be installed or made available somehow.
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Load a different kernel
Depending on the HPC’s native environment, you may have other kernels available.
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No available kernels have all the software I need - Now what?
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