Interactive Tutorials for AWK and bash

A work in process, occasionally worked on.

There are countless Awk tutorials online.

Also for bash ... TBD...

I decided to finally teach myself Awk and document the process in Jupyter notebooks with a Bash kernel. This is the result.

AWK outline

To setup environment, build the Docker image or use mine:

docker pull miroadamy/jupyter-docker-bash

or 

docker build -t miroadamy/jupyter-docker-bash .

Then run it from working directory. I use non-standard port as I run several other notebooks

docker run --rm -p 9999:8888 -v $(pwd):/home/jovyan/work miroadamy/jupyter-docker-bash:latest

Notebook contains GNU awk version

awk --version
GNU Awk 4.1.4, API: 1.1 (GNU MPFR 4.0.1, GNU MP 6.1.2)

Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
.ipynb_checkpoints		.ipynb_checkpoints
data		data
dict		dict
Awk-tutorial-01-basics.ipynb		Awk-tutorial-01-basics.ipynb
Awk-tutorial-02-regular-expressions.ipynb		Awk-tutorial-02-regular-expressions.ipynb
Awk-tutorial-03-reading-input-files.ipynb		Awk-tutorial-03-reading-input-files.ipynb
Awk-tutorial-0X-arrays.ipynb		Awk-tutorial-0X-arrays.ipynb
Awk-tutorial-0X-built-in-functions.ipynb		Awk-tutorial-0X-built-in-functions.ipynb
Dockerfile		Dockerfile
Python-test.ipynb		Python-test.ipynb
README.md		README.md
bash-1.ipynb		bash-1.ipynb
bash-basics-1.ipynb		bash-basics-1.ipynb
center_message.sh		center_message.sh
minparams		minparams
run.sh		run.sh
sales-data.txt		sales-data.txt
test1.awk		test1.awk