# Books I've read ### 2022 1. The Long Game: How to Be a Long-Term Thinker in a Short-Term World by Dorie Clark 2. The Effective Engineer: How to Leverage Your Efforts in Software Engineering to Make a Disproportionate and Meaningful Impact by Edmond Lau ### 2021 1. [Study is Hard Work by William Howard Armstrong](https://www.google.co.in/books/edition/Study_is_Hard_Work/3NyZfnFqgWMC) 2. The Body Keeps the Score by Bessel A. van der Kolk, M.D. 3. Zero to One - Notes on Startups, or How to Build the Future by Peter Thiel, Blake Masters 4. The Psychology of Money by Morgan Housel 5. The Art of Thinking Clearly by Rolf Dobelli 6. Hiroshima by John Hersey 7. [Show your work by Austin Kleon](https://austinkleon.com/show-your-work/) 8. Art Spirit by Robert Henri 9. How to Not Die Alone by Logan Ury 10. Simple Rules - How to thrive in a complex world by Kathleen Eisenhower, Donald N 11. Algorithms to Live By\_ The Computer Science of Human Decisions - Brian Christian, Tom Griffiths 12. Connect\_ Building Exceptional Relationships with Family, Friends, and Colleagues by David Bradford, Carole Robin ### 2020 1. Deep Work by Cal Newport 2. Loving Him Without Losing You - How to Stop Disappearing and Start Being Yourself by Beverly Engel 3. The 48 Laws of Power by Robert Greene ### 2019 1. Competitive Advantage by Michael Porter ### 2018 1. Cleopatra by Henry Rider Haggard (correct link: , this book is based on real papyrus by Cleopatra's counterpart) 2. On Growth and Form by D'Arcy Wentworth Thompson ### 2017 1. Manuscript Found in Accra by Paulo Coelho ### 2016 1. My Life and Work by Henry Ford ### 2015 1. Tuesdays with Morrie by Robin Sharma ### 2014 1. How to Win Friends and Influence People by Dale Carnegie 2. Wings of Fire by Abdul Kalam ### 2011 1. Animal Farm by George Orwell ### 2010 1. The Merchant of Venice by William Shakespeare --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://i.janardhanpulivarthi.com/books-ive-read.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.