ADD Deinstallation advice

README.md

@@ -9,11 +9,51 @@ If you are using *Windows*, you can find the "official" PTB **miniforge** instal
 ---
 On the compute servers, a central installation of both **conda** and **mamba** is provided. **mamba** is functionally identical to **conda**, it is just a faster reimplementation in *C++*, use whichever you prefer, the commands are identical.
 
-The executables of both programs are located in the `/home/admin84/shared_public`, which should be configured on all servers the be included in `$PATH`. You can verify you are using the correct executable by running `conda info`. If this returns a different location than above, please remove your personal previous installation of (ana)**conda** first. 
+The executables of both programs are located in the `/home/admin84/shared_public`, which should be configured on all servers the be included in `$PATH`. You can verify you are using the correct executable by running `conda info` (refer to the sample output below). If this returns a different location than above, please remove your personal previous installation of (ana)**conda** first. 
+
+Uninstalling a personal installation of **anaconda** can be achieved by
+
+0. Safety back up (see below)
+
+1. Removing the **anaconda** folder (which is usually **not** your `$HOME/.conda` folder!), which contains the executables, package caches and configuration files, among other things. You can locate where the currently prioritised executable is at via `which conda`.
+
+2. Removing custom channels from your `.condarc`, located usually either at `$HOME/.condarc` or `$HOME/.conda/.condarc` - you can just remove the *channels* key in the YAML file.
+
+3. Checking which **conda** version is used by running `conda info`. This should return (at least) 
+
+```
+     active environment : None
+       user config file : /home/<username/.condarc
+ populated config files : /home/admin84/shared_public/miniforge3/.condarc
+                          /home/<username>/.condarc
+          conda version : 23.3.1
+    conda-build version : not installed
+         python version : 3.10.12.final.0
+       virtual packages : __archspec=1=x86_64
+                          __cuda=11.2=0
+                          __glibc=2.31=0
+                          __linux=5.4.0=0
+                          __unix=0=0
+       base environment : /home/admin84/shared_public/miniforge3  (read only)
+      conda av data dir : /home/admin84/shared_public/miniforge3/etc/conda
+  conda av metadata url : None
+           channel URLs : https://conda.anaconda.org/conda-forge/linux-64
+                          https://conda.anaconda.org/conda-forge/noarch
+          
+       envs directories : /miniforge3/envs
+               platform : linux-64
+             user-agent : conda/23.3.1 requests/2.31.0 CPython/3.10.12 Linux/5.4.0-144-generic ubuntu/20.04.6 glibc/2.31
+                UID:GID : 10359:10359
+             netrc file : None
+           offline mode : False
+
+```
+
+
 
 ## If you have used **conda** before
 
-Please back up the composition of your environments using `conda env export --from-history` while the respective environments are activated.
+Please back up the composition of your environments using `conda env export --from-history` while the respective environments are activated. Using `--from-history` will only save the main packages you specifically requested, but not any dependencies installed during installing those packages. Packages which were installed using `pip` are also omitted. If you want to obtain a complete, unsanitised list, you can omit the `--from-history` flag.
 
 ---
 
@@ -25,7 +65,7 @@ conda init --reverse # (only necessary if you previously used conda)
 conda init
 ```
 
-You can use the `.condarc` template provided here to customise the locations where your environments and package caches are located when using **conda**. Please consider using the *san* for you paths to avoid cluttering the local drives. 
+You can use the `.condarc` template provided here to customise the locations where your environments and package caches are located when using **conda**. The template includes the path where it should be saved. Please consider using the *san* for you paths to avoid cluttering the local drives. 
 
 **conda** will be default use the *python* version which is installed on the host machine, but you can use any supported version when creating new environments, e.g.