We love books. In that spirit, here are three groups of seven reading recommendations for 2021, covering topics such as fun and learning, graph databases and data science, and artificial intelligence. Seven books for fun and learning include Friend of a Friend by David Burkus, The Book of Why by Judea Pearl and Dana Mackenzie, Brains on Fire by Robbin Phillips, Greg Cordell, Geno Church and Spike Jones, Linked by Albert-László Barabási, World of Wonders by Aimee Nezhukumatathil, and Weapons of Math Destruction by Cathy O’Neil. Seven books for learning about graphs include Graph Databases For Dummies by Dr. Jim Webber and Rik Van Bruggen, Graph Data Science For Dummies by Amy Hodler and Mark Needham, Fullstack GraphQL Applications with GRANDstack by William Lyon, Graph-Powered Machine Learning by Alessandro Negro, Graph Algorithms: Practical Examples in Apache Spark & Neo4j by Mark Needham & Amy E. Hodler, and AI on Trial by Mark Deem and Peter Warren. Seven books about AI include You Look Like a Thing and I Love You by Janelle Shane, The Algorithm Design Manual by Steven Skiena, Reprogramming the American Dream by Kevin Scott and Greg Shaw, Deep Medicine by Eric Topol, Hello World: Being Human in the Age of Algorithms by Hannah Fry, and The AI Book by Susanne Chishti, Ivana Bartoletti, Anne Leslie and Shân M. Millie.