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.

1. Basics of Awk
2. Regular expressions
3. Input processing X. Built-in Functions X. Arrays X. ...

2. bash basics
3. Arrays
4. ...

• sed: "sed is a stream editor. A stream editor is used to perform basic text transformations on an input stream (a file or input from a pipeline)." ** What is the difference between sed and awk?
• miller: "Miller is like sed, awk, cut, join, and sort for name-indexed data such as CSV."
• jq: "jq is like sed for JSON data - you can use it to slice and filter and map and transform structured data with the same ease that sed, awk, grep and friends let you play with text."

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)