diff --git a/README.md b/README.md
index 314f99b..39554e8 100644
--- a/README.md
+++ b/README.md
@@ -20,18 +20,17 @@
 < ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS     >
 < FOR A PARTICULAR PURPOSE. See GNU General Public License for details.           -->
 
-
-# Getting started
+# Get started
 
 On Linux, Mac or Windows, if you have a basic C/C++ toolchain installed (git, compiler and cmake) clone this repo:
 
-```
+``` bash
 git clone https://github.com/MattiaMontanari/openGJK.git
 ```
 
 Then use these commands to build and run an example:
 
-```
+``` bash
 cmake -E make_directory build
 cmake -E chdir build cmake -DCMAKE_BUILD_TYPE=Release .. 
 cmake --build build 
@@ -40,7 +39,7 @@ cmake -E chdir build/examples/c ./example_lib_opengjk_ce
 
 If you get no errors, the successfull output is:
 
-> `Distance between bodies 3.653650`. 
+> `Distance between bodies 3.653650`
 
 However, if you do get an error - any error - please file a bug! Support requests are welcome too.
 
@@ -48,13 +47,13 @@ However, if you do get an error - any error - please file a bug! Support request
 
 The best source to learn how to use OpenGJK are the examples. They are listed [here](https://www.mattiamontanari.com/opengjk/docs/examples/) for C, C#, Go, Matlab and Python. I aim to publish few more for Julia and Unity.
 
-Take a look at the `examples` folder in this repo and have fun. File a request if you wish to see more! 
+Take a look at the `examples` folder in this repo and have fun. File a request if you wish to see more!
 
 # Contribute
 
 You are very welcome to:
 
 - Create pull requests of any kind
-- Let me know if you are using this library and find it usefule
+- Let me know if you are using this library and find it useful
 - Open issues with request for support because they will help you and many others
 - Cite this repository ([a sweet GitHub feature](https://docs.github.com/en/repositories/managing-your-repositorys-settings-and-features/customizing-your-repository/about-citation-files#about-citation-files)) or my paper: Montanari, M. et at, *Improving the GJK Algorithm for Faster and More Reliable Distance Queries Between Convex Objects* (2017). ACM Trans. Graph.
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