| #2 |  Structure and Interpretation of Computer Programs
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| #3 |  Code: The Hidden Language of Computer Hardware and Software
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| #4 |  The Art of Computer Programming - 4 volumes
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| #5 |  Algorithms
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| #6 |  Introduction to Algorithms
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| #7 |  Code Complete
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| #8 |  The Pragmatic Programmer
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| #9 |  Programming pearls
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| #10 |  Refactoring: Improving the Design of Existing Code
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| #11 |  Design Patterns
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| #12 |  Domain-Driven Design
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| #13 |  Working Effectively with Legacy Code
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| #14 |  The Mythical Man-Month: Essays on Software Engineering
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| #15 |  Code Reading |
| #16 |  Writing Secure Code
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| #17 |  Patterns of Enterprise Application Architecture
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| #18 |  Computer Organization and Design MIPS Edition: The Hardware/Software Interface
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| #19 |  Operating System Concepts
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| #20 |  Introduction to the Theory of Computation
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| #21 |  Programming Language Pragmatics
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| #22 |  Introduction to Machine Learning
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| #23 |  Artificial intelligence
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| #24 |  The C Programming Language
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| #25 | ![The C[plus plus] programming language](https://cdn.hardcover.app/enlarge?url=https://assets.hardcover.app/edition/18162042/a833707700be5e98613b9a294cbcfe429edec792.jpeg&width=100&height=150&type=webp) The C[plus plus] programming language
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| #26 |  The Elements of Computing Systems: Building a Modern Computer from First Principles
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| #27 |  Land of LISP: Learn to Program in LISP, One Game at a Time!
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| #28 |  Foundations of computer science
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| #29 |  Concepts, Techniques, and Models of Computer Programming
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| #30 |  Compilers
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| #31 |  The Little Schemer
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| #32 |  Introduction to automata theory, languages, and computation
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| #33 |  Concrete Mathematics
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| #34 |  Computational Complexity: A Modern Approach
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| #35 |  Computer Systems: A Programmer's Perspective
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| #36 |  Algorithms
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| #37 |  Algorithm Design: Pearson New International Edition
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| #38 |  The Algorithm Design Manual
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| #39 |  Introduction to Algorithms: A Creative Approach
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| #40 |  Paradigms of artificial intelligence programming |
| #41 |  Applied Combinatorics on Words
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| #43 |  Languages and Machines: An Introduction to the Theory of Computer Science
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| #44 |  Abstract and Concrete Categories
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| #45 |  Category Theory
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| #46 |  Basic category theory for computer scientists
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| #47 |  Engineering a Compiler
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| #48 |  Computability and Logic Computability and Logic
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| #49 |  Computer Architecture: A Quantitative Approach
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| #50 |  Computer Organization
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| #51 |  Structured Computer Organization
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| #52 |  Computational Geometry: Algorithms and Applications
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| #53 | Computer Graphics Computer Graphics: Principles and Practice
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| #54 |  Fundamentals of Computer Graphics
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| #55 |  Real-Time Rendering, Third Edition
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| #56 |  Computer Vision: Algorithms and Applications
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| #57 |  Computer Vision: A Modern Approach
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| #58 |  Machine Vision: Theory, Algorithms, Practicalities
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| #59 | Cryptography Engineering Cryptography Engineering: Design Principles and Practical Applications
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| #60 |  Introduction to Modern Cryptography: Principles and Protocols
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| #61 |  Database Management Systems
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| #62 |  Database Systems: The Complete Book
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| #63 |  Distributed Systems: Concepts and Design
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| #64 |  Introduction to Reliable and Secure Distributed Programming Introduction to Reliable and Secure Distributed Programming
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| #65 |  Principles of Concurrent and Distributed Programming
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| #66 |  Introduction to Functional Programming using Haskell
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| #67 |  Learn You a Haskell for Great Good!
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| #68 |  The seasoned schemer
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| #69 |  ML for the Working Programmer, 2nd Edition
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| #70 |  Logic in Computer Science: Modelling and Reasoning About Systems
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| #71 |  Mathematical Logic for Computer Science
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| #72 |  Designing the User Interface: Strategies for Effective Human-Computer Interaction
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| #73 |  Elements of Information Theory
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| #74 |  Information Theory and Reliable Communication
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| #75 |  INFORMATION THEORY, INFERENCE, AND LEARNING ALGORITHMS.
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| #76 | Computational Complexity Computational Complexity
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| #77 |  An Introduction to Lambda Calculi for Computer Scientists
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| #78 |  PROLOG PROLOG: Programming for Artificial Intelligence
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| #79 |  The Art of Prolog, second edition The Art of Prolog, second edition
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| #80 |  Bayesian Reasoning and Machine Learning
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| #81 |  Data Mining: Practical Machine Learning Tools and Techniques
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| #82 |  The Elements of Statistical Learning: Data Mining, Inference, and Prediction
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| #83 |  Machine Learning Machine Learning
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| #84 |  Mining of Massive Datasets
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| #85 |  Pattern Recognition and Machine Learning
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| #86 |  Pattern Classification
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| #87 |  Foundations of Statistical Natural Language Processing
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| #88 |  Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition
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| #89 |  Computer Networking
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| #90 |  Computer Networks
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| #91 |  Numerical Recipes in C Numerical Recipes in C: The Art of Scientific Computing
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| #92 |  Operating Systems
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| #93 |  Convex Optimization
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| #94 |  Linear Programming and Network Flows
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| #95 |  Communicating and Mobile Systems: The Pi-Calculus
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| #96 |  Principles of Program Analysis
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| #97 |  Essentials of programming languages
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| #98 |  Modern Programming Languages: A Practical Introduction
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| #99 | Programming Languages Programming Languages: Application and Interpretation
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| #100 |  Formal Semantics of Programming Languages
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| #101 |  Foundations for Programming Languages
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| #102 | Semantics Engineering with PLT Redex Semantics Engineering with PLT Redex
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