Credit to Chris Orton for authoring this user guide.

Updated Version: Jupyter Notebooks on your desktop

Step-by-step guide

Open Anaconda Prompt (to manage existing environments outside of command line, Anaconda Navigator can also be used) – You will be presented with the view
<base> C:\Users\username>
To create a new environment within your user folder on the P drive (change "ortoch" to your own username and "testenv3" to your own environment name):

The following will occur if successful:

3. ‘y’ to proceed with environment creation:

4. The following will occur if successful:

5. You can check that the package is in the correct path by running conda info --envs

6. Activate the created environment as follows (replace ortoch with own username and testenv3 with own environment name:

7. Once activated, the path will now have your environment preceding the root, you can install a package by using: ‘conda install packagename’:

8. An example of the code that will appear if package installation is proceeding successfully;
‘y’ to proceed:

9. If appearing successful, before using an IDE such as Spyder/Jupyter Notebook to start a project, you can check libraries have been loaded correctly as follows in Anaconda Prompt:

python

>>> import tensorflow

If no errors return, the library is successfully installed.

10. You can also use Anaconda Navigator to view all packages in an environment – as shown here:

You can use Anaconda Navigator to install a number of other associated software, such as glueviz, Jupyterlab, Jupyter Notebook, orange3, qtconsole, rstudio (already installed on VDI but can be integrated into Python), spyder, and vscode

Related articles

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Setup & Request VPN Access
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JupyterHub Guide
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Installing Library Packages in Anaconda
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Connecting to DB2 from Python

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