bookshelf

As I mostly read e-books, I don't have a physical bookshelf at home. I decided to build a digital bookshelf here to keep track of what I'm reading over the years (novels are not listed here). I won't write reviews here, but I'll just place a "♥" next to the books definitely worth reading.

	AI Engineering
Thinking in Bets	Platform Strategy
♥ Deep work	♥ Managing low performance.
Managing data as a product	Apache Iceberg. The definitive guide
Kafka. The definitive guide	Thinking in systems
The permanent portfolio	Inspired: how to create tech products customers love
Data Mesh	Modeling Mindsets
The Design of Web APIs	The Five Dysfunctions of a Team
♥ Storytelling with Data	Essentialism: the Disciplined Pursuit of Less
♥ Team Topologies	♥ Agile Estimating and Planning
Mythical Man-Month	The Black Swan: The Impact of the Highly Improbable
Designing data-intensive applications	♥ The Phoenix Project
♥ Thinking, Fast and Slow	Deep Learning
The Docker Book: Containerization is the new virtualization	Python Deep Learning: Next generation techniques to revolutionize computer vision, AI, speech and data analysis
♥ Pragmatic Programmer, The: From Journeyman to Master	♥ The Signal and the Noise: The Art and Science of Prediction
The Art of R Programming: A Tour of Statistical Software Design	Why: A Guide to Finding and Using Causes
♥ Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference	Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
Speech and Language Processing	Computer Networking: A Top-Down Approach