diff --git a/README.md b/README.md
index 36b03e9..8e2250f 100644
--- a/README.md
+++ b/README.md
@@ -2,22 +2,6 @@
 
 This is a HIP version of the [FiniteVolume code](https://github.com/babrodtk/FiniteVolumeGPU) (work in progress). It is a Python software package that implements several finite volume discretizations on Cartesian grids for the shallow water equations and the Euler equations. 
 
-## Setup
-A good place to start exploring this codebase is the notebooks. Complete the following steps to run the notebooks:
-
-1. Install conda (see e.g. Miniconda or Anaconda)
-2. Change directory to the repository root and run the following commands
-3. conda env create -f conda_environment.yml
-4. conda activate ShallowWaterGPU
-5. jupyter notebook
-
-Make sure you are running the correct kernel ("conda:ShallowWaterGPU"). If not, change kernel using the "Kernel"-menu in the notebook.
-
-If you do not need to run notebooks you may use the conda environment found in conda_environment_hpc.yml
-
-## Troubleshooting
-Have a look at the conda documentation and https://towardsdatascience.com/how-to-set-up-anaconda-and-jupyter-notebook-the-right-way-de3b7623ea4a
-
 ## Setup on LUMI-G
 Here is a step-by-step guide on installing packages on LUMI-G
 
@@ -28,7 +12,7 @@ ml lumi-container-wrapper
 ml cray-python/3.9.13.1
 ```
 
-### Step 1: run  conda-container
+### Step 1: run conda-container
 Installation via conda can be done as:
 ```
 conda-containerize new --prefix MyCondaEnv conda_environment_lumi.yml