Data Science Bookcamp
Leonard Apeltsin
The Book of Why: The New Science of Cause and Effect
Judea Pearl & Dana Mackenzie
Lean Software Systems Engineering for Developers
Doug Durham & Chad Michel
The Well-Grounded Python Developer MEAP V05
Doug Farrell
Beginning PyQt
Joshua M. Willman
Python for Finance
Yves Hilpisch
Python for Algorithmic Trading
Python for Excel
Felix Zumstein
Python and R for the Modern Data Scientist
Rick J. Scavetta & Boyan Angelov
Introducing Python
Bill Lubanovic
Kubernetes Networking: A Deep Dive - Early Release
James Strong & Vallery Lancey
Fundamentals of Data Visualization: A Primer on Making Informative ...
Claus O. Wilke
Making Data Visual: A Practical Guide to using Visualization ...
Danyel Fisher & Miriah Meyer
Mining the Social Web
Matthew A. Russell & Mikhail Klassen
Head First Data Analysis: A Learner's Guide to Big Numbers, ...
Michael Milton
WebGL: Up and Running
Tony Parisi
Lean Analytics
Alistair Croll & Benjamin Yoskovitz
Bad Data Handbook
Q. McCallum
Effective TypeScript: 62 Specific Ways to Improve Your TypeScript
Dan Vanderkam
97 Things Every Data Engineer Should Know
Tobias Macey
Advanced Analytics with Pyspark: Patterns for Learning From ...
Akash Tandon & Sandy Ryza & Uri Laserson & Sean Owen & Josh Wills
Cloud Native DevOps With Kubernetes: Building, Deploying, and ...
John Arundel
John Arundel & Justin Domingus
Ansible: Up and Running: Automating Configuration Management ...
Lorin Hochstein & Rene Moser
Certified Kubernetes Application Developer (CKAD) Study Guide
Benjamin Muschko