| Computer science |
|---|
- 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
