JP's Notes

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====== Create a Python Environment for Study-Unit XXX1234 ======

This is relatively easy (especially if you are using Ubuntu).

    - Install the latest version of [[https://www.anaconda.com/download/|Anaconda]].
    - Download the environment file from VLE for the study-unit you are attending.  This is a file with extension ''.yml'' and name which matches the study-unit code, e.g. ''cps3235.yml'' (assumed name for the rest of the steps).  Note that you should have different environment files for your different study-units/assignments/dissertation/projects.
    - On your machine ''conda env create -f cps3235.yml''.
    - To activate the environment ''conda activate cps3235''.  Note that you will need to do this every time you open a new terminal/you want to use the environment.  Alternatively, just append this command to your ''.bashrc'' file.
    - To check that the environment was installed ''conda env list'' (environment ''cps3235'' should be listed there, together with the path where it was installed).
    - To see the packages installed and their versions in the ''cps3235'' environment, ''conda list''.

If something goes wrong and you want to remove the environment issue the command ''conda remove %%--%%name cps3235 %%--%%all''.