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.

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