For reference, I'm a backend/ML engineer working primarily in Python but open to anything.
According to the preface, "As a result, this book is something of a Ship of Theseus. Roughly one-third of the topics in the book are brand new. Of the rest, the majority have been rewritten, either partially or totally. Our intent was to make things clearer, more relevant, and hopefully somewhat timeless."
It looks like it did get a substantial update.
- Software Engineering at Google: Lessons Learned from Programming Over Time by Titus Winters
Another good one is "Real-World Cryptography" by David Wong
Starting to get into programming again and she explains things in a way even a non programmer can understand. Quite rare in programming books. One of my all time favorites.
If you have any other suggestions on Books and Courses, please do share...
I am not into data science, but I am bookmarking this link for future reference.
Also i recently came to know of Markus Voelter (https://voelter.de/) and his works on DSLs. You might find his book DSL Engineering: Designing, Implementing and Using Domain-Specific Languages useful in coming up with DSL solutions for your ML/DL domain.