Reading List
I'm using the table below to keep track of the books I'm currently reading.
In Progress
Paperbacks
Title | Author | Start Date | Finish Date | Amazon Link |
---|---|---|---|---|
The Human Use Of Human Beings: Cybernetics And Society | Norbert Wiener | 6/20/17 | Some point in 2017(?) | here |
Amusing Ourselves to Death: Public Discourse in the Age of Show Business | Neil Postman | 6/7/17 | 6/20/17 (?) | here |
Life's Greatest Secret: The Race to Crack the Genetic Code | Matthew Cobb | 1/29/17 | ~ 3/1/20 | here |
Misquoting Jesus: The Story Behind Who Changed the Bible and Why | Bart Ehrman | 12/25/19 | 12/29/19 | here |
The Calculating Stars: A Lady Astronaut Novel | Mary Robinette Kowal | 12/25/19 | ~ 2/6/20 | here |
The Idea of the Brain: The Past and Future of Neuroscience | Matthew Cobb | ~ 4/20/20 | 6/3/20 | here |
My Life as a Quant: Reflections on Physics and Finance | Emanuel Derman | 7/27/20 | 8/8/20 | here |
Textbooks
Title | Author | Chapter | Start Date | Finish Date | Amazon Link |
---|---|---|---|---|---|
Modern Operating Systems (3rd Edition) | Andrew Tanenbaum, Herbert Bos | 10 | ? | 4/20/20 | |
The Design of Everyday Things: Revised and Expanded Edition | Don Norman | 7/11/20 | here |
Queued
This is a list of books (primarily from Humble Bundles) that I want to finish reading at some point.
Artificial Intelligence
Musts
Maybes
- Artificial Intelligence: The Very Idea
- Artifical Minds
- Made-Up Minds: A Constructivist Approach to Artificial Intelligence
- Understanding Intelligence
Applied Machine Learning
Musts
Maybes
- Applied Text Analysis with Python
- Natural Language Processing with Python
- Natural Language Processing with PyTorch
- Deep Learning Cookbook
- Thoughtful Machine Learning with Python
Circuit Design / Electronics
Musts
Maybes
Systems Administration
Musts
Maybes
Programming
Musts
- Making Software: What Really Works, and Why We Believe It
- Elegant Scipy
- Testing Python: Applying Unit Testing, TDD, BDD and Acceptance Testing
- Test-Driven Development with Python, 2nd Edition
- Algorithms in a Nutshell, 2nd Edition
- Fluent Python
Maybes
- Cracking Codes with Python
- Designing Distributed Systems
- The Art of Readable Code
- 97 Things Every Programmer Should Know