- Python for Data Analysis by Wes McKinney
- Introduction to Machine Learning with Python: A Guide for Data Scientists by Andreas C. Müller and Sarah Guido
- Data Science for Business by Foster Provost
- Experiments at Airbnb by Jan Overgoor
- Your Data Is Your Lifeblood — Set up the Analytics It Deserves
- At Airbnb, Data Science Belongs Everywhere: Insights from Five Years of Hypergrowth·
- Building Out the SeatGeek Data Pipeline
- Algorithms Need Managers, Too
- Roles on an Analytics Team
- Occam’s Razor blog by Avinash Kaushik
- Scaling Knowledge at Airbnb
Hiring:
- Rethinking how we interview in Microsoft’s Developer Division
- The Art of Recruiting by Guy Kawasaki
- We can’t handle diversity from HBR
- Hire a Top Performer Every Time with These Interview Questions
- How to Consistently Hire Remarkable Data Scientists
- The CEO of Automattic on Holding “Auditions” to Build a Strong Team
- 7 Rules for Job Interview Questions That Result in Great Hires
- Technical interview performance is kind of arbitrary. Here’s the data.
- The One Method I’ve Used to Eliminate Bad Tech Hires
- How to Hire Without Getting Fooled by First Impressions
- What I’ve Learned From My Hiring Mistakes
Productivity:
- Meet is Murder
- Maker’s Schedule, Manager’s Schedule
- Deep Work: Rules for Focused Success in a Distracted World
- Collaboration Overload
Product Management
- Lean Startup by Eric Reis
- First Round Review
- Hooked: How to Build Habit-Forming Products by Nir Eyal (blog)
- Steve Blank’s blog and books
- Andrew Chen’s blog
- Agile Product Management with Scrum by Roman Pichler
Management, Leadership, and Culture:
- First Round Review
- Spotify Culture
- What Google Learned From Its Quest to Build the Perfect Team
- How to avoid Idea Averaging
- Influencer: The New Science of Leading Change by Joseph Grenny
- Extreme Ownership: How U.S. Navy SEALs Lead and Win by Jocko Willink
