Work Rules!

Advice to Founders and CEOs - Dear Founder (Maynard Webb) - The Hard Things About Hard Things (Ben Horowitz) - Straight Talk for Startups (Randy Komisar and Jantoon Reigersman) - The Founders’ Dilemmas (Noam Wasserman) - The Entrepreneur’s Daily Nietzsche (Brad Feld and Dave Jilk) - Build (Tony Fadell) - Zero to IPO (Frederic Kerrest) - The Great CEO Within (Matt Mochary) Finance - Wharton's Introduction to Financial Accounting course: [https://www.coursera.org/learn/wharton-accounting](https://w... (https://www.coursera.org/learn/wharton-accounting]%28https://www.coursera.org/learn/wharton-accounting%29) - How Finance Works: The HBR Guide to Thinking Smart About the Numbers (Mihir Desai) - Financial Intelligence for Entrepreneurs: What You Really Need to Know About the Numbers (Karen Berman and Joe Knight) Open-Book Company (Employee Ownership, Financial Literacy, Goal-setting) - The Great Game of Business (Jack Stack and Bo Burlingham) Legal - Acceleration (Ryan Roberts) - The Entrepreneur’s Guide to Law and Strategy (Constance Bagley and Craig Dauchy) Company Strategy and Direction (post-product/market fit) - Crossing the Chasm (Geoff Moore) - Zone to Win (Geoff Moore)…

Last year I gave myself a Zuckerberg-style goal to read a book every two weeks. It started well, but some months were harder than others (usually when the book wasn't very good, so I would switch to podcasts for a few weeks, before getting back on track). Here's an unordered list of the best: [BUSINESS / SELF-IMPROVEMENT] - "Work Rules!" - about Google's culture and values - "Search Inside Yourself" - about mindfulness, meditation, and the impact on your life. - "What got you here won't get you there" - Liked a lot more than I expected. - "Re-read Innovator's Dilemma" - a great classic; never gets old. - "How will you measure your life" - from the same author. Also excellent. - "The Best Service is No Service" - good overview on why Amazon's customer service is so good - "Crucial Conversations" - half is common sense; half is good tips to practice everyday. [PROGRAMMING] - "Fluent Python" - was afraid it'd be too basic, but not really. Enjoyed it a lot. - "Think Complexity" - about algorithm complexity, data structures, etc. Great read. - "Python Data Science Handbook" - meh. - "Fundamentals of Deep Learning" - good intro. Helped me solidify some concepts from Andrew Ng's ML course…