manjunath5496/Computer-Science-Reference-Books

Computer science
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Books

• Computer organization and architecture : designing for performance
• Introduction to Algorithms
• Fundamentals of Database Systems
• Computer Graphics, C Version
• CSE 143 Lecture 5: More Stacks and Queues; Complexity (Big-Oh)
• Advanced .NET Debugging
• Advanced windows debugging
• Artificial intelligence
• C: The Complete Reference
• C: An Advanced Introduction
• CLR via C#
• Compilers. Principles, Techniques, & Tools
• Software Engineering: A Practitioner's Approach
• Data Communications And Networking
• Domain-Driven Design Quickly
• Systems programming
• Essential Scrum
• Expert C Programming: Deep C Secrets
• Expert Python Programming
• Head First Python
• Java: The Complete Reference
• Jumping into C++
• Mobile Communications
• Distributed Process Management
• The Data Compression Book
• HTML: Pocket Reference
• IPv6 Essentials
• JavaScript Application Cookbook
• Learning Oracle PL/SQL
• Learning Python
• Learning the UNIX Operating System
• Learning the vi and Vim Editors
• Learning the vi Editor
• Alphabetical Directory of Linux Commands
• Linux Network Administrator's Guide
• Linux Networking Cookbook
• Hacker's Delight
• Mastering Regular Expressions
• MySQL Cookbook
• MySQL: Pocket Reference
• Practical C++ Programming
• Python & XML
• Python for Unix and Linux System Administration
• Real World Instrumentation with Python
• Ruby in a Nutshell
• Running Linux
• sed & awk
• Server Load Balancing
• SSH, The Secure Shell: The Definitive Guide
• The Productive Programmer
• Understanding the Linux Kernel
• Operating System Concepts
• Patterns for Parallel Programming
• Pragmatic Guide to Git
• Principles of Distributed Database Systems
• Pro .NET Performance: Optimize Your C# Applications
• Python: Create-Modify-Reuse
• Python Power! The Comprehensive Guide
• Rx Design Guidelines
• Software Engineering
• Succeeding with Agile
• Systems Analysis and Design in a Changing World
• Human–computer interaction
• The Essential Guide to User Interface Design
• About Face 3: The Essentials of Interaction Design
• Designing with the Mind in Mind
• The Design of Everyday Things
• The Quick Python Book
• The Art of Unit Testing
• The Python Standard Library by Example
• UML
• When Should I Use Parallel.ForEach? When Should I Use PLINQ?
• Windows Internals (Part 1)
• Windows Internals (Part 2)
• WinRT Revealed
• XML Schema Essentials
• Creating your MySQL Database: Practical Design Tips and Techniques
• Graph Databases
• Learning Azure DocumentDB
• Learning Neo4j
• Learning PostgreSQL
• Mastering RethinkDB
• Microsoft SQL Azure: Enterprise Application Development
• Microsoft SQL Server 2012 Integration Services: An Expert Cookbook
• MongoDB Basics
• MySQL for Python
• Oracle Database 11gR2 Performance Tuning Cookbook
• PostgreSQL 9 Administration Cookbook
• PostgreSQL 9 High Availability Cookbook
• PostgreSQL Development Essentials
• PostgreSQL Server Programming
• SQL Server 2014 Development Essentials
• SQL Server 2016 Reporting Services Cookbook
• The Definitive Guide to. MongoDB
• Advanced Bash-Scripting Guide
• Automate it!: Recipes to upskill your business
• Beginning the Linux Command Line
• Building Microservices
• CentOS 6 Linux Server Cookbook
• Continuous Delivery and DevOps: A Quickstart Guide
• CoreOS Essentials
• Designing and Implementing Linux Firewalls and QoS using netfilter, iproute2, NAT, and L7-filter
• Developing Microservices with Node.js
• DevOps Automation Cookbook
• DevOps Bootcamp: A fast-paced guide to implement DevOps with ease
• DevOps for Networking
• DevOps for Web Development
• DevOps on the Microsoft Stack
• DevOps with Windows Server 2016
• DEVOPS, DBAS, AND DBAAS
• Effective DevOps
• Getting Started with tmux
• GNU/Linux Advanced Administration
• Implementing DevOps on AWS
• Implementing Modern DevOps
• Infrastructure as Code (IAC) Cookbook
• Jenkins Essentials
• Learn Windows PowerShell 3 in a Month of Lunches
• Learning Continuous Integration with Jenkins
• Learning DevOps: Continuously Deliver Better Software
• Learning Linux Shell Scripting
• Learning Shell Scripting with Zsh
• Linux Bible
• Linux E-mail: Set up, maintain, and secure a small office e-mail server
• Linux Email: Set up and Run a Small Office Email Server
• Linux For Dummies
• Linux in a Nutshell
• Linux Mint Essentials
• Linux: Pocket Guide
• Linux Shell Scripting Cookbook
• Linux Shell Scripting Essentials
• Linux Thin Client Networks Design and Deployment
• Linux Utilities Cookbook
• Mastering Linux Shell Scripting
• Mastering Linux
• Mastering Wireshark
• Mesos in Action
• Microservices: Building Scalable Software
• Microservices: Flexible Software Architecture
• Microservices Deployment Cookbook
• Microservices from Day One
• Modern Linux Administration
• Nmap Essentials
• PowerShell in Depth
• PowerShell in Practice
• PowerShell Succinctly
• Practical DevOps
• Pro Bash Programming: Scripting the GNU/Linux Shell
• Pro Continuous Delivery With Jenkins 2.0
• REST API Design Rulebook
• SELinux System Administration
• Shell Scripting Recipes: A Problem-Solution Approach
• The DevOps 2.0 Toolkit: Automating the Continuous Deployment Pipeline With Containerized Microservices
• The DevOps 2.1 Toolkit: Docker Swarm
• The DevOps Adoption Playbook
• The Linux Command Line: A Complete Introduction
• The Linux Programming Interface
• tmux Master
• X Power Tools
• Vagrant Virtual Development Environment Cookbook
• Windows PowerShell 3.0 First Steps
• Windows PowerShell Cookbook
• Windows PowerShell in Action
• Windows PowerShell: Pocket Reference
• Wireshark Essentials
• Wireshark Network Security
• Working with Linux – Quick Hacks for the Command Line
• Your UNIX/Linux: The Ultimate Guide
• Pro SQL Server Internals
• Data Structures and Algorithms in Python
• Data Structures and Algorithms with JavaScript
• Data Structures And Algorithms Made Easy
• Data Structures and Algorithms with Python
• Disk-Based Algorithms for Big Data
• Dynamic Programming: A Computational Tool
• Grokking Algorithms: An illustrated guide for programmers and other curious people
• Introduction to Algorithms
• Learning F# Functional Data Structures and Algorithms
• Learning JavaScript Data Structures and Algorithms
• Mathematics and Physics for Programmers
• Python Algorithms
• Sets, Logic and Maths for Computing
• The Algorithm Design Manual
• A Tour of C++
• The C++ Standard Library
• Modern C++ Design: Generic Programming and Design Patterns Applied
• Accelerated C++: Practical Programming by Example
• A Byte of Python
• C: How To Program
• Data Science from Scratch
• C++ Concurrency in Action
• Clean Code: A Handbook of Agile Software Craftsmanship
• Exceptional C++: 47 Engineering Puzzles, Programming Problems, and Solutions
• Programming Pearls
• Deep Learning with Python: A Hands-on Introduction
• Deep Learning with Python
• Discovering Modern C++: An Intensive Course for Scientists, Engineers, and Programmers
• Effective STL: 50 Specific Ways to Improve Your Use of the Standard Template Library
• C++: The Complete Reference
• Hadoop with Python
• HMI Framework 2.0 User Guide
• LEARN PYTHON THE HARD WAY: A Very Simple Introduction to the Terrifyingly Beautiful World of Computers and Code
• Numerical Recipes in C: The Art of Scientific Computing
• The Art of Computer Programming, Volume 1: Fundamental Algorithms
• The Art of Computer Programming, Volume 3: Sorting and Searching
• The Art of Computer Programming: Seminumerical Algorithms
• Effective Java
• Functional Programming for Java Developers
• Java 8 in Action: Lambdas, streams, and functional-style programming
• Mastering Lambdas: Java Programming in a Multicore World
• Generics and Collections in Java 5
• Java 8 Lambdas
• A Common-Sense Guide to Data Structures and Algorithms
• Algorithms Unlocked
• Beginning Java 8 Games Development
• OCA: Oracle Certified Associate Java SE 8 Programmer I Study Guide Exam 1Z0-808
• Object-Oriented Programming and Java
• Algorithms To Live By
• Object-Oriented Design with UML and Java
• Core Java, Volume I — Fundamentals
• Java For Everyone: Late Objects
• An introduction to object-oriented programming with Java
• Object-Oriented and Classical Software Engineering
• Machine Learning Models and Algorithms for Big Data Classification
• AI in Marketing, Sales and Service: How Marketers without a Data Science Degree can use AI, Big Data and Bots
• How to Think About Algorithms
• Algorithm Design and Applications
• Algorithmic Probability and Combinatorics
• Algorithms For Dummies
• Applied Digital Signal Processing: THEORY AND PRACTICE
• Applied Natural Language Processing with Python
• Artificial Intelligence: A Modern Approach
• Big Data Demystified: How to Use Big Data, Data Science and AI to Make Better Business Decisions and Gain Competitive Advantage
• Clean Data
• Apache Spark 2.x Cookbook
• Combinatorial and Algorithmic Aspects of Networking
• Data Analytics with Hadoop: An Introduction for Data Scientists
• Data Mining Algorithms in C++
• Data Science for Business
• Data Structures & Problem Solving Using Java
• Data Structures and Algorithms in C++
• DISTRIBUTED ALGORITHMS ON GRAPHS
• Docker for Data Science
• Doing Data Science
• Essential Algorithms: A Practical Approach to Computer Algorithms Using Python and C#
• Excel Data Analysis: Modeling and Simulation
• Experimental Algorithmics: From Algorithm Design to Robust and Efficient Software
• Fast Fourier Transform: Algorithms and Applications
• Introducing Data Science
• Introduction to Genetic Algorithms
• Algorithm Design
• Analysis of Algorithms: An Active Learning Approach
• Machine Learning For Dummies
• MACHINE LEARNING: An Algorithmic Perspective
• Mathematical Problems in Data Science
• Algorithms and Parallel Computing
• Practical Data Science Cookbook
• Practical Statistics for Data Scientists
• Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
• Scala for Data Science
• The Enterprise Big Data Lake: Delivering the Promise of Big Data and Data Science
• The Master Algorithm
• Agile Data Science 2.0: Building Full-Stack Data Analytics Applications with Spark
• APPLIED DATA SCIENCE WITH PYTHON AND JUPYTER
• Dark Web: Exploring and Data Mining the Dark Side of the Web
• Data Mining and Knowledge Discovery for Big Data
• Data Mining and Knowledge Discovery Technologies
• Data Mining: Practical Machine Learning Tools and Techniques
• Data Mining: Concepts and Techniques
• Data Preprocessing in Data Mining
• Data Warehousing and Data Mining
• Data Mining Techniques
• Deep Learning Innovations and Their Convergence With Big Data
• Frontiers in Massive Data Analysis
• MAKING SENSE OF DATA I: A Practical Guide to Exploratory Data Analysis and Data Mining
• Mastering SQL Server 2014 Data Mining
• Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More
• Post, Mine, Repeat: Social Media Data Mining Becomes Ordinary
• Quantum Machine Learning
• Transparent Data Mining for Big and Small Data
• Understanding Complex Datasets: Data Mining with Matrix Decompositions
• Data Preparation for Data Mining Using SAS
• Adaptive Stream Mining: Pattern Learning and Mining from Evolving Data Streams
• Advanced Data Mining Techniques
• Advances in Data Mining: Applications in Medicine,Web Mining, Marketing, Image and Signal Mining
• Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners
• DISCOVERING KNOWLEDGE IN DATA: An Introduction to Data Mining
• Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data
• Introduction to R Data Mining
• Cracking Codes & Cryptograms For Dummies
• Kotlin for Android Developers
• Refactoring: Improving the Design of Existing Code
• MATLAB Codes for Finite Element Analysis
• PEARLS OF FUNCTIONAL ALGORITHM DESIGN
• Pro Android with Kotlin: Developing Modern Mobile Apps
• Professional Android Sensor Programming
• Programming Kotlin
• Teach Your Kids to Code
• Coding Projects in Python
• CRACKING THE CODING INTERVIEW
• Android Development with Kotlin
• C++ GEMS
• Code: The Hidden Language of Computer Hardware and Software
• Java Database Programming with JDBC
• Database Design for Mere Mortals: A Hands-On Guide to Relational Database Design
• RMAN Recipes for Oracle Database 12c
• Database Design: Know It All
• Database System Concepts
• Expert Oracle Database Architecture
• Data Structures and Algorithms for Big Databases
• Beginning Database-Driven Application Development in Java EE Using GlassFish
• Mastering PostgreSQL 10
• The Database Hacker's Handbook: Defending Database Servers
• Android Database Programming
• Practical MongoDB: Architecting, Developing, and Administering MongoDB
• Databases for Small Business
• SQL For Dummies
• C++ database development
• Databases Theory and Applications
• Database Solutions: A step-by-step guide to building databases
• New Trends in Databases and Information Systems
• Databases Demystified
• Coders at Work: Reflections on the Craft of Programming
• Microsoft ASP.NET 4 Step by Step
• Coding for Beginners
• Elements of Programming Interviews in Java
• Essential XML Quick Reference
• Hello Ruby: Adventures in Coding
• Test-Driven Development By Example
• Code Craft: The Practice of Writing Excellent Code
• Programming Arduino: Getting Started with Sketches
• Essential XML Quick Reference Structure and Interpretation of Computer Programs
• Soft Skills: The software developer's life manual
• Writing Solid Code
• XQuery 1.0: An XML Query Language
• The Mythical Man-Month: Essays on Software Engineering
• CONCEPTS OF PROGRAMMING LANGUAGES
• The Ruby Programming Language
• Foundations of Python Network Programming
• The Swift Programming Language
• R Programming for Bioinformatics
• Programming Language Pragmatics
• The Go Programming Language
• Computer Networks and Internets
• Data Communication and Computer Network Tutorial
• Java Program Design: Principles, Polymorphism, and Patterns
• Hacking Wireless Networks For Dummies
• Tools for teaching computer networking and hardware concepts
• Sams teach yourself networking in 24 hours
• TCP/IP Network Administration
• Networking Fundamentals
• Computer Network Security and Cyber Ethics
• Red Hat Linux Networking and System Administration
• Routing and Switching Essentials: Companion Guide
• More Effective C#: 50 Specific Ways to Improve Your C#
• The Soul of a New Machine
• Agile Principles, Patterns, and Practices in C#
• Superintelligence: Paths, Dangers, Strategies
• Concrete Mathematics
• PC Hardware: A Beginner's Guide
• Angular Material
• Schaum's Outline of Computer Graphics
• Digital Logic And Computer Design
• Discrete Mathematics for Computer Science
• React Quickly
• React JS by Example - Building Modern Web Applications with React
• React JS Notes for Professionals
• The Architecture of Computer Hardware, System Software, and Networking: An Information Technology Approach
• Spring Persistence with Hibernate
• Learn Microservices with Spring Boot
• Artificial Intelligence By Example
• Blockchain Enabled Applications
• Blockchain: Blueprint for a New Economy
• MongoDB Tutorial: Simply Easy Learning
• 50 Tips and Tricks for MongoDB Developers
• MongoDB in Action
• Scala for Java Developers
• Scala Cookbook
• Scala in Action
• Kubernetes in Action
• Agile Web Development with Rails
• Beginning Swift
• Best of Ruby Quiz
• Design Patterns in Ruby
• Enterprise Integration with Ruby: A Pragmatic Guide
• Everyday Scripting with Ruby
• From Java to Ruby
• Learn to Program
• Mastering Swift 4
• Practical Ruby Projects: Ideas for the Eclectic Programmer
• Pro Active Record: Databases with Ruby and Rails
• Programming Ruby: The Pragmatic Programmers' Guide
• Rails Recipes
• Ruby for Rails
• Practical Ruby for System Administration
• Ruby: Pocket Reference
• THE RAILS WAY
• Containerized Docker Application Lifecycle with Microsoft Platform and Tools
• Deploying with JRuby 9K
• Docker: Up and Running
• Docker Containers: Build and Deploy with Kubernetes, Flannel, Cockpit, and Atomic
• Docker Cookbook
• Docker for Developers
• Docker for Sysadmins: Linux Windows VMware
• Docker in Action
• Docker in Practice
• Docker in Production: Lessons from the Trenches
• Docker Management Design Patterns: Swarm Mode on Amazon Web Services
• Docker Tutorial
• Docker Tutorial (Tutorialspoint)
• Essential Docker for ASP.NET Core MVC
• Kubernetes Patterns: Patterns, Principles, and Practices for Designing Cloud Native Applications
• Learning Windows Server Containers
• Orchestrating Docker: Manage and deploy Docker services to containerize applications efficiently
• Pro Docker
• The Docker Book
• Using Docker
• Effective Python Penetration Testing
• macOS Programming for Absolute Beginners
• Practical Common Lisp
• Practical Linux Infrastructure
• Sams teach yourself TCP/IP in 24 hours
• Shell Programming in Unix, Linux and OS X
• Sams Teach Yourself Unix in 24 Hours
• ANSI Common Lisp
• First Course in Algebra
• How to Learn Math for Data Science, The Self-Starter Way
• Linear algebra in R
• The Matrix Cookbook
• Multivariable Calculus with Applications to the Life Sciences
• Service Virtualization: Implementation, Practices, and Trends for On-Demand Test Environments
• Calculus Made Easy
• A Gentle Guide to Constraint Logic Programming
• A Course in Machine Learning
• Enabling Exploratory Data Science with Spark and R
• How Apache Spark fits into the Big Data landscape
• Recent Advances in Face Recognition
• An Architecture for Fast and General Data Processing on Large Clusters
• Fast Data Processing with Spark
• Logic For Computer Science: Foundations of Automatic Theorem Proving
• Intro to Apache Spark
• OCP Java SE 6 Programmer Practice Exams
• SCJP Sun Certified Programmer for Java 6 Study Guide
• Machine Learning, Neural and Statistical Classification
• The Node Beginner Book: A comprehensive Node.js tutorial
• Mastering Apache Spark
• Getting Started with GEO, CouchDB, and Node.js
• Mastering Apache Spark: Gain expertise in processing and storing data by using advanced techniques with Apache Spark
• The Quest for Artificial Intelligence: A History of Ideas and Achievements
• Simply Logical: Intelligent Reasoning by Example
• RESTful Web API Design with Node.js
• Virtual Reality for Human Computer Interaction
• Advanced Analytics with Spark
• Big Data Analytics Using Splunk
• Java Concurrency In Practice
• Build a REST API with Spring 4
• Coding Interview in Java
• The Elements of Statistical Learning: Data Mining, Inference, and Prediction
• Statistics 401: An Introduction to Statistics for Engineers and Scientists
• Introduction to the Practice of Statistics
• Street-Fighting Mathematics
• Think Stats: Exploratory Data Analysis in Python
• Open Data Structures
• Information Science and Statistics
• C++ For Artists: The Art, Philosophy, and Science of Object-Oriented Programming
• Concurrency in .NET
• Designing for Cisco Network Service Architectures (ARCH) Foundation Learning Guide
• Erlang and OTP in Action
• Machine Learning Systems
• Mastering Jenkins
• AWS Certified SysOps Administrator Official Study Guide - Associate Exam
• Amazon Web Services in Action
• Beginning CouchDB
• Beginning SVG: A Practical Introduction to SVG using Real-World Examples
• Elixir in Action
• Fonts & Encodings
• Practical Web Development with Haskell
• Scaling Your Node.js Apps
• Think Like a Data Scientist: TACKLE THE DATA SCIENCE PROCESS STEP-BY-STEP
• UX for Developers
• Decoupled Drupal in Practice
• Vue.js: Up and Running
• Web Application Development with R Using Shiny
• Web Applications with Elm
• Getting to Know Vue.js
• Developing Games on the Raspberry Pi
• Dynamic SQL
• Large Scale Data Analytics
• PCs Just the Steps For Dummies
• Python for Data Mining Quick Syntax Reference
• Solving Cyber Risk: Protecting your company and society
• Understanding Azure Data Factory
• Voice User Interface Design: Moving from GUI to Mixed Modal Interaction
• Nagios: System and Network Monitoring
• Algorithm & Flowchart Manual for students
• Cisco ISP Essentials
• Learn Active Directory Management in a Month of Lunches
• Managing Microsoft Hybrid Clouds
• Tableau Data Visualization Cookbook
• The Site Reliability Workbook
• Networking All-in-One For Dummies