Learn GNU awk with hundreds of examples and exercises. Visit https://youtu.be/KIa_EaYwGDI for a short video about the book.
The book also includes exercises to test your understanding, which are presented together as a single file in this repo — Exercises.md.
For solutions to the exercises, see Exercise_solutions.md.
You can also use this interactive TUI app to practice some of the exercises from the book.
See Version_changes.md to keep track of changes made to the book.
For a preview of the book, see sample chapters.
The book can also be viewed as a single markdown file in this repo. See my blogpost on generating pdf/epub from markdown using pandoc if you are interested in the ebook creation process.
For the web version of the book, visit https://learnbyexample.github.io/learn_gnuawk/
Step up your cli fu with this fabulous intro & deep dive into awk. I learned a ton of tricks!
I consider myself pretty experienced at shell-fu and capable of doing most things I set out to achieve in either bash scripts or fearless one-liners. However, my awk is rudimentary at best, I think mostly because it's such an unforgiving environment to experiment in.
These books you've written are great for a bit of first principles insight and then quickly building up to functional usage. I will have no hesitation in referring colleagues to them!
⚠️ ⚠️ Please DO NOT submit pull requests. Main reason being any modification requires changes in multiple places.
I would highly appreciate it if you'd let me know how you felt about this book. It could be anything from a simple thank you, pointing out a typo, mistakes in code snippets, which aspects of the book worked for you (or didn't!) and so on. Reader feedback is essential and especially so for self-published authors.
You can reach me via:
echo 'bGVhcm5ieWV4YW1wbGUubmV0QGdtYWlsLmNvbQo=' | base64 --decode
awk
and related commandstex
related questionsSpecial thanks to all my friends and online acquaintances for their help, support and encouragement, especially during difficult times.
The book is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The code snippets are licensed under MIT, see LICENSE file.
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