The 100 page machine learning books, Designing Data Intensive Applications (DDIA), philosophy of software design etc.
DDIA was the most useful since I could apply it directly to my work, the others not so much. Not even sure if I took away much from the ML books since I rarely use it in practice. Still enjoyable overviews. DDIA will stick, others won’t.
What kind of books have you found yourself reading the last couple of years and with did you like and with didn't you like?