Replace tab by two spaces

Author: richelbilderbeek

docs/day2/jupyter.rst

@@ -92,7 +92,7 @@ Within your terminal with the interactive session,
 load a modern Python module:
 
 .. code-block:: sh
-		
+    
    module load python/3.11.8
 
 Then, start ``jupyter-notebook`` (or ``jupyter-lab``):
@@ -126,7 +126,7 @@ On own computer
     - On Linux or Mac this is done by running in another terminal. Make sure you have the ports changed if they are not at the default ``8888``.
 
 .. code-block:: sh
-		
+    
    $ ssh -L 8888:r486:8888 username@rackham.uppmax.uu.se
 
     - If you use Windows it may be better to do this in the PowerShell instead of a WSL2 terminal.
@@ -197,7 +197,7 @@ for a specific <version> to see which prerequisites should be loaded first.
 Something like the file below will work. Remember to change the project id after the course, how many cores you need, and how long you want the JupyterLab to be available:
 
 .. code-block:: slurm
-		
+    
    #!/bin/bash
    #SBATCH -A hpc2n2024-114
    # This example asks for 1 core
@@ -393,7 +393,7 @@ Later you can remove the kernel if you feel like, using this:
 8. Now make a submit file as before. Something like this should work:
 
 .. code-block:: sh
-		
+    
    #!/bin/bash
    #SBATCH -A hpc2n2024-114
    # Here allocating 1 core - change as suitable for your case

docs/day2/use_isolated_environments.rst

@@ -279,8 +279,8 @@ Conda
 
 .. admonition:: Conda cheat sheet
 
-   - List packages in present environment:	         ``conda list``
-   - List all environments:			                 ``conda info -e`` or ``conda env list``
+   - List packages in present environment:           ``conda list``
+   - List all environments:                       ``conda info -e`` or ``conda env list``
    - Install a package:                              ``conda install somepackage``
    - Install from certain channel (conda-forge):     ``conda install -c conda-forge somepackage``
    - Install a specific version:                     ``conda install somepackage=1.2.3``

docs/day2/use_isolated_environments_old.rst

@@ -316,8 +316,8 @@ Next steps are the same for all clusters
 .. admonition:: Conda cheat sheet
    :class: dropdown
 
-   - List packages in present environment:	``conda list``
-   - List all environments:			``conda info -e`` or ``conda env list``
+   - List packages in present environment:  ``conda list``
+   - List all environments:      ``conda info -e`` or ``conda env list``
    - Install a package: ``conda install somepackage``
    - Install from certain channel (conda-forge): ``conda install -c conda-forge somepackage``
    - Install a specific version: ``conda install somepackage=1.2.3``

docs/extra/conda.rst

@@ -84,8 +84,8 @@ Using Conda
 
 .. admonition:: Conda cheat sheet
 
-   - List packages in present environment:	``conda list``
-   - List all environments:			``conda info -e`` ot ``conda env list``
+   - List packages in present environment:  ``conda list``
+   - List all environments:      ``conda info -e`` ot ``conda env list``
    - Install a package: ``conda install somepackage``
    - Install from certain channel (conda-forge): ``conda install -c conda-forge somepackage``
    - Install a specific version: ``conda install somepackage=1.2.3``
@@ -105,22 +105,22 @@ Using Conda
     .. prompt:: bash $
 
         conda create --name python36-env python=3.6 numpy=1.13.1 matplotlib=2.2.2
-	
+  
     .. admonition:: The ``mamba`` alternative
         :class: dropdown
 
-	- ``mamba`` is a fast drop-in alternative to conda, using "libsolv" for dependency resolution. It is available from the ``conda`` module.
-	- Example:
-	
+  - ``mamba`` is a fast drop-in alternative to conda, using "libsolv" for dependency resolution. It is available from the ``conda`` module.
+  - Example:
+  
           .. prompt:: bash $
 
-	      mamba create --name python37-env python=3.7 numpy=1.13.1 matplotlib=2.2.2
+        mamba create --name python37-env python=3.7 numpy=1.13.1 matplotlib=2.2.2
 
 4. Activate the conda environment by:
 
     .. prompt:: bash $
 
-	source activate python36-env
+  source activate python36-env
 
     - You will see that your prompt is changing to start with ``(python-36-env)`` to show that you are within an environment.
 

docs/extra/jupyterHPC2N.rst

@@ -24,7 +24,7 @@ for a specific <version> to see which prerequisites should be loaded first.
 Something like the file below will work. Remember to change the project id after the course, how many cores you need, and how long you want the JupyterLab to be available:
 
 .. code-block:: slurm
-		
+    
    #!/bin/bash
    #SBATCH -A hpc2n2025-151
    # This example asks for 1 core
@@ -220,7 +220,7 @@ Later you can remove the kernel if you feel like, using this:
 8. Now make a submit file as before. Something like this should work:
 
 .. code-block:: sh
-		
+    
    #!/bin/bash
    #SBATCH -A hpc2n2025-151
    # Here allocating 1 core - change as suitable for your case