diff --git a/conda_environment.yml b/conda_environment.yml
new file mode 100644
index 0000000..5056c2a
--- /dev/null
+++ b/conda_environment.yml
@@ -0,0 +1,31 @@
+# Assumes that conda, pip, build-essentials and cuda are installed
+---
+name: ShallowWaterGPU
+channels:
+- conda-forge
+
+dependencies:
+- python=3.7
+- numpy
+- matplotlib
+- jupyter
+- netcdf4
+- scipy
+- nb_conda_kernels
+- nbdime
+- mpi4py
+- ffmpeg
+- pycuda
+- ipyparallel
+- line_profiler
+
+# Install conda environment (one-time operation):
+# $ conda env create -f conda_environment.yml
+# Activate environment
+# $ conda activate ShallowWaterGPU
+
+# OPTIONAL: If you want to compile pycuda yourself, uncomment pycuda under 
+# "dependencies" above and do the following (one-time operation):
+#  - pycuda: $ pip3 install --no-deps -U pycuda
+# on Windows: make sure your visual studio c++ compiler is available in PATH
+# PATH should have something like C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\bin\
diff --git a/conda_environment_hpc.yml b/conda_environment_hpc.yml
index 677a828..b181023 100644
--- a/conda_environment_hpc.yml
+++ b/conda_environment_hpc.yml
@@ -16,7 +16,7 @@ dependencies:
 # Install conda environment (one-time operation):
 # $ conda env create -f conda_environment_hpc.yml
 # Activate environment and install the following packages using pip:
-# $ conda activate ShallowWaterGPU
+# $ conda activate ShallowWaterGPU_HPC
 #  - pycuda: $ pip3 install --no-deps -U pycuda
 # on Windows: make sure your visual studio c++ compiler is available in PATH
 # PATH should have something like C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\bin\