Post by Narendra Kushwaha.

𝗕𝗼𝗼𝗸𝘀 𝗘𝘃𝗲𝗿𝘆 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 𝗠𝘂𝘀𝘁 𝗥𝗲𝗮𝗱 𝗶𝗻 𝟮𝟬𝟮𝟱 Learning from experts is powerful — and books let you scale that learning faster. Here’s a curated list of 30 must-read books, organized by what you’ll master: -- General Software Engineering -- The Pragmatic Programmer – David Thomas & Andrew Hunt -- Modern Software Engineering – David Farley -- Code Complete – Steve McConnell -- Grokking Simplicity – Eric Normand -- Software Engineering at Google – Titus Winters -- Data Structures & Algorithms -- Grokking Algorithms – Aditya Bhargava -- Algorithms – Sanjoy Dasgupta -- The Art of Computer Programming – Donald Knuth -- Data Structures and Algorithms Made Easy – Narasimha Karumanchi -- Introduction to Algorithms – Cormen, Leiserson, Rivest & Stein -- Distributed Systems -- Designing Distributed Systems – Brendan Burns -- Designing Data-Intensive Applications – Martin Kleppmann -- Distributed Systems – Maarten van Steen & Andrew Tanenbaum -- Distributed Algorithms – Nancy Lynch -- Best Practices & Code Quality -- Clean Code – Robert C. Martin -- Design Patterns – Gang of Four -- Refactoring – Martin Fowler -- The Effective Engineer – Edmond Lau -- The Pragmatic Programmer – David Thomas & Andrew Hunt -- Data & Databases -- Data Modeling Essentials – Graeme Simsion -- Learning SQL – Alan Beaulieu -- Fundamentals of Data Engineering – Joe Reis & Matt Housley -- DevOps & Continuous Delivery -- The DevOps Handbook – Gene Kim -- Continuous Delivery – Jez Humble & David Farley -- Accelerate – Nicole Forsgren -- Effective DevOps – Jennifer Davis & Ryn Daniels -- Testing & TDD -- Growing Object-Oriented Software, Guided by Tests – Steve Freeman & Nat Pryce -- Unit Testing – Vladimir Khorikov -- Unit Testing Principles, Practices, and Patterns – Vladimir Khorikov -- Test Driven Development – Kent Beck -- Working Effectively with Legacy Code – Michael Feathers -- Architecture & Microservices -- Software Architecture Patterns – Mark Richards -- Clean Architecture – Robert C. Martin -- Software Architecture: The Hard Parts – Neal Ford & Mark Richards -- Building Microservices – Sam Newman -- Domain-Driven Design – Eric Evans -- Machine Learning & AI -- The Hundred-Page Machine Learning Book – Andriy Burkov -- Designing Machine Learning Systems – Chip Huyen -- AI Engineering – Chip Huyen -- Leadership & Management -- The Five Dysfunctions of a Team – Patrick Lencioni -- Drive – Daniel Pink Image By : TechWorld with Milan Dr Milan Milanović Feel Free to ❤️Connect: Narendra Kushwaha. #SoftwareEngineer #TechBooks #CodingLife #DevCommunity #LearnToCode #ProgrammingBooks #SoftwareDevelopment #FullStackDev #DataStructures #Algorithms #DevOps #CleanCode #CodeQuality #Microservices #MachineLearning #ArtificialIntelligence #Leadership #Productivity #CareerGrowth #TechLearning #TDD #Refactoring #SoftwareArchitecture