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@@ -1959,10 +1959,11 @@ <h3><strong>Using Python - Conda</strong></h3>
 separate from your UserSpace. Chronos provides a dedicated 10TB HDD for
 this purpose, located at:</b></p>
 <pre class="r"><code>/media/chronos/Env_Storage/$USER #For example: /media/chronos/Env_Storage/tim</code></pre>
-<p>To create a new Conda environment called ‘EnvName’, at this
-location:</p>
-<pre class="r"><code>conda create --prefix /media/chronos/Env_Storage/$USER/EnvName python=3.11 #Python 3.11 is used for example purposes only
-conda activate /media/chronos/Env_Storage/$USER/EnvName</code></pre>
+<p>To register this directory with Conda, use:</p>
+<pre class="r"><code>conda config --prepend envs_dirs /media/chronos/Env_Storage/$USER</code></pre>
+<p>To create a new Conda environment called ‘EnvName’:</p>
+<pre class="r"><code>conda create -n EnvName python=3.11 #Python 3.11 is used for example purposes only
+conda activate EnvName</code></pre>
 <p>All Conda environments are available from within any tmux session and
 they do not need to be explicitly installed within one. To list all
 available Conda environments:</p>
@@ -1972,13 +1973,13 @@ <h3><strong>Using Python - Conda</strong></h3>
 Instead we encourage users to export a configuration file for each
 environment to their UserSpace (which is backed up). For
 example:</b></p>
-<pre class="r"><code>conda activate /media/chronos/Env_Storage/$USER/EnvName
+<pre class="r"><code>conda activate EnvName
 conda list --explicit &gt; /media/chronos/Storage/$USER/EnvName.yml</code></pre>
 <p>Which serves as a backup, and allows for easy and rapid recreation of
 the environment:</p>
-<pre class="r"><code>conda create --prefix /media/chronos/Env_Storage/$USER/EnvName_Recreated --file /media/chronos/Storage/$USER/EnvName.yml</code></pre>
+<pre class="r"><code>conda create -n EnvName_Recreated --file /media/chronos/Storage/$USER/EnvName.yml</code></pre>
 <p>Finally, to delete a Conda environment:</p>
-<pre class="r"><code>conda remove --prefix /media/chronos/Env_Storage/$USER/EnvName --all</code></pre>
+<pre class="r"><code>conda remove --all -n EnvName</code></pre>
 <hr />
 <p>Chronos contains a high-end, server-grade GPU to power Deep Learning
 and other AI-related processes through Python. To facilitate this, all
@@ -1990,7 +1991,7 @@ <h3><strong>Using Python - JupyterLab</strong></h3>
 <p>To provide a multi-tool, graphical interface for Python, we recommend
 installing JupyterLab into each, individual conda environment. For
 example:</p>
-<pre class="r"><code>conda activate /media/chronos/Env_Storage/$USER/EnvName
+<pre class="r"><code>conda activate EnvName
 conda install jupyter</code></pre>
 <p>We typically recommend using JupyterLab, as opposed to Jupyter
 Notebook, as it provides additional functionalities including a
@@ -2002,7 +2003,7 @@ <h3><strong>Using Python - JupyterLab</strong></h3>
 Port Mapping</a></p>
 <p>Add this port to your installation by first creating a Jupyter
 configuration file:</p>
-<pre class="r"><code>conda activate /media/chronos/Env_Storage/$USER/EnvName
+<pre class="r"><code>conda activate EnvName
 jupyter lab --generate-config #Replace &#39;lab&#39; with &#39;notebook&#39; if using jupyter notebook
 nano ~/.jupyter/jupyter_lab_config.py</code></pre>
 <p>Adding the following lines to the top of the file:</p>
@@ -2014,7 +2015,7 @@ <h3><strong>Using Python - JupyterLab</strong></h3>
 <p>JupyterLab can only access the files and folders stored within the
 directory it was launched from. For example, to launch JupyterLab with
 access to your entire UserSpace:</p>
-<pre class="r"><code>conda activate /media/chronos/Env_Storage/$USER/EnvName
+<pre class="r"><code>conda activate EnvName
 cd ~/UserSpace
 jupyter lab</code></pre>
 <p>To access Jupyter from your own machine, simply direct your web