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Randomized Algorithms
Randomized Algorithms
  • Rajeev Motwani
  • Prabhakar Raghavan
0-
Convex Optimization
Convex Optimization
  • Stephen Boyd
  • Stephen P. Boyd
  • Lieven Vandenberghe
0-
Communicating and Mobile Systems: The Pi-Calculus
Communicating and Mobile Systems: The Pi-Calculus
  • Robin Milner
0-
Designing the User Interface: Strategies for Effective Human-Computer Interaction
Designing the User Interface: Strategies for Effective Human-Computer Interaction
  • Ben Shneiderman
  • Catherine Plaisant
0-
Semantics of Programming Languages: Structures and Techniques
Semantics of Programming Languages: Structures and Techniques
  • Carl A. Gunter
0-
INFORMATION THEORY, INFERENCE, AND LEARNING ALGORITHMS.
INFORMATION THEORY, INFERENCE, AND LEARNING ALGORITHMS.
  • David J.C. MacKay
4.33-
Practical Monitoring
Practical Monitoring
  • Mike Julian
4-
Learning Patterns
Learning Patterns
  • Lydia Hallie
  • Addy Osmani
4.33-
Microservice Patterns
Microservice Patterns
  • Chris Richardson
4.5-
Probability and Computing: Randomized Algorithms and Probabilistic Analysis
Probability and Computing: Randomized Algorithms and Probabilistic Analysis
  • Michael Mitzenmacher
  • Eli Upfal
3-
Cover 6

Semantics Engineering with PLT Redex

Semantics Engineering with PLT Redex
  • Matthias Felleisen
  • Robert Bruce Findler
  • Matthew Flatt
0-
Foundations for Programming Languages
Foundations for Programming Languages
  • John C. Mitchell
0-
Formal Semantics of Programming Languages
Formal Semantics of Programming Languages
  • Glynn Winskel
5-
Cover 1

Programming Languages

Programming Languages: Application and Interpretation
  • Shriram Krishnamurthi
0-
Modern Programming Languages: A Practical Introduction
Modern Programming Languages: A Practical Introduction
  • Adam Webber
4-
Essentials of programming languages
Essentials of programming languages
  • Daniel P. Friedman
  • Mitchell Wand
  • Christopher T. Haynes
0-
Principles of Program Analysis
Principles of Program Analysis
  • Flemming Nielson
  • Hanne R. Nielson
  • Chris Hankin
0-
Linear Programming and Network Flows
Linear Programming and Network Flows
  • Mokhtar S. Bazaraa
  • John Jarvis
  • Hanif D. Sherali
0-
Mathematical Logic for Computer Science
Mathematical Logic for Computer Science
  • Mordechai Ben-Ari
0-
The Manga Guide to Statistics
The Manga Guide to Statistics
  • Shin Takahashi
  • Trend-Pro Co. Ltd.
5-
The Manga Guide to Molecular Biology
The Manga Guide to Molecular Biology
  • Masaharu Takemura
  • Sakura
  • Becom Co. Ltd.
2-
The Manga Guide to Databases
The Manga Guide to Databases
  • Mana Takahashi
  • Shoko Azuma
  • Trend-Pro Co. Ltd.
4.25-
Design It! : Pragmatic Programmers: From Programmer to Software Architect
Design It! : Pragmatic Programmers: From Programmer to Software Architect
  • Michael Keeling
4.5-
Release It!
Release It!
  • Michael T. Nygard
4.36-
Seven Concurrency Models In Seven Weeks When Threads Unravel
Seven Concurrency Models In Seven Weeks When Threads Unravel
  • Paul Butcher
4.5-
Hands-on Rust: Effective Learning through 2D Game Development and Play
Hands-on Rust: Effective Learning through 2D Game Development and Play
  • Herbert Wolverson
4-
Logic in Computer Science: Modelling and Reasoning About Systems
Logic in Computer Science: Modelling and Reasoning About Systems
  • Michael Huth
  • Mark Ryan
3-
ML for the Working Programmer, 2nd Edition
ML for the Working Programmer, 2nd Edition
  • Lawrence C. Paulson
0-
Zero To Production In Rust
Zero To Production In Rust
  • Luca Palmieri
4.25-
Grokking Simplicity
Grokking Simplicity
  • Eric Normand
3.17-
The Self-Taught Programmer
The Self-Taught Programmer
  • Cory Althoff
4-
Cover 4

System Design Interview – An Insider's Guide

System Design Interview – An Insider's Guide
  • Alex Xu
4.3-
Clean Architecture: A Craftsman's Guide to Software Structure and Design
Clean Architecture: A Craftsman's Guide to Software Structure and Design
  • Robert C. Martin
4.08-
A Philosophy of Software Design
A Philosophy of Software Design
  • John Ousterhout
4.15-
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
  • Martin Kleppmann
4.68-
Quantum Computation and Quantum Information
Quantum Computation and Quantum Information
  • Michael A. Nielsen
  • Isaac L. Chuang
0-
An Introduction to Lambda Calculi for Computer Scientists
An Introduction to Lambda Calculi for Computer Scientists
  • Chris Hankin
0-
Cover 8

Computational Complexity

Computational Complexity
  • Christos H. Papadimitriou
0-
Elements of Information Theory
Elements of Information Theory
  • Thomas M. Cover
  • Joy A. Thomas
4-
Information Theory and Reliable Communication
Information Theory and Reliable Communication
  • Robert G. Gallager
0-