diff --git a/README.md b/README.md
index 88794008e775216fa16c94d2d17898b2369a2c12..e668d2519dd445783c2ec0c782745cf389ddb127 100644
--- a/README.md
+++ b/README.md
@@ -1,6 +1,6 @@
-# singularity_docker_jupyter
+# Singularity + Docker + Jupyter
 In this recipe, you will learn how to create your own container-based environment that
-you can use at home on on the supercomputer. It is compatible with windows as well as Linux and MacOS, however only if your host is of X86 architecture (new Macs might pose a problem).   
+you can use at home and on the supercomputer. It is compatible with windows as well as Linux and MacOS, however only if your host is of X86 architecture (new Macs might pose a problem).   
 It is composed of the following steps:
 0. Install docker
 1. Create a docker container that contains the environment
@@ -56,7 +56,7 @@ the script `run_command_in_container.sh`. If you execute
 ```
 you will see which python version has been installed into the container.
 
-# Export the docker container for singularity 
+#Export the docker container for singularity 
 In this step, you will export the docker image you have created as a singularity container. It requires the following steps:
 1. Save the docker image in a tarball
 ```bash
@@ -76,7 +76,7 @@ singularity build singularity_docker_jupyter.sif docker-archive://singularity_do
 If you local machine is a Linux machine, you also have the option to create the singularity image `singularity_docker_jupyter.sif` on your local machine.
 
 
-# Execute the container with singularity on the supercomputer
+#Use the container with singularity on the supercomputer