edited interactive_job

README.md

@@ -1,13 +1,13 @@
-This repository hosts the content of 'Using resources effectively with VASP: exploring GPU and machine learning capability'.
+This repository hosts the content of Using resources effectively with VASP: exploring GPU and machine learning capability.
 
 Workshop atendees can follow along with the material deployed using GitHub Pages, [here](https://johnryder23.github.io/VASP_workshop/).  
 
-The only other material needed are the scripts located in in the './content' directory of this repository. Simply clone this repo (with 'git clone git@github.com:Johnryder23/VASP_workshop.git') and the navigate into 'VASP_workshop/content'. The rest of the nessessary configurations are provided by host machine, Mahuika.
+The only other material needed are the scripts located in in the `./content` directory of this repository. Simply clone this repo (with `git clone git@github.com:Johnryder23/VASP_workshop.git`) and the navigate into `VASP_workshop/content`. The rest of the nessessary configurations are provided by the host machine, Mahuika.
 
 
 ## If you would like to contribute to this workshop
 
-Commits to the 'main' branch are deployed automatically at https://johnryder23.github.io/VASP_workshop/ .
+Commits to the `main` branch are deployed automatically at https://johnryder23.github.io/VASP_workshop/ .
 
 If you would like to make your own edits and deploy them, create a new branch and install MkDocs in a Python virtual environment:
 ```

docs/interactive_job.md

@@ -1,11 +1,11 @@
 ## General
-This calculation is a standard ionic and electronic energy minimisation for ethane in vacuum. Because this calculation is short, we will run it interactively from the command line and use a Bash script to set up and submit the calculation.
+This calculation is a standard ionic and electronic energy minimisation for ethane in vacuum. Because the calculation is short, it can be run interactively from the command line. A Bash script will be used to set up and submit the calculation.
 
 
-To start an interactive Slurm job, we will execute `srun` directly from the terminal. Using `srun` instead of `sbatch` submits a parallel job (using MPI) for execution in real time, and prints 'stdout' and 'stderr' to the terminal. 
+To start an interactive Slurm job, we will execute `srun` directly - and not from *within* a batch script sumitted with `sbatch`. Subbmitting with `srun` instead of `sbatch` makes the job execute in real time, or, in other words, reads `stdin` from the terminal and prints 'stdout' and 'stderr' to the terminal. 
 
-!!! note
-running a job in this way means if your connection with NeSI drops, the job will fail - as 'stdin'is diretly from the terminal. Therefore running jobs interactively is only appropriate for short calculations.
+!!! warning
+    running a job in this way means if your connection with NeSI drops, the job will fail - as 'stdin'is diretly from the terminal. Therefore running jobs interactively is only appropriate for short calculations.
 
 
 ## Input parameters

mkdocs.yml

@@ -12,4 +12,5 @@ nav:
 
 markdown_extensions:
   - admonition
-
+  - pymdownx.details
+  - pymdownx.superfences