Software Engineering Books
Taylor & Francis Ltd SwitchRouter Architectures Systems with Crossbar Switch Fabrics
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£166.25
Taylor & Francis Ltd MultiCriteria Decision Models in Software Reliability
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£118.75
Taylor & Francis Ltd Building in Security at Agile Speed
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£56.99
Taylor & Francis Ltd ComponentBased Systems
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£47.49
Taylor & Francis Ltd Modeling Software Behavior A Craftsmans Approach
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£54.14
Taylor & Francis Ltd Programming Language Fundamentals by Example
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£52.24
Taylor & Francis Ltd High Performance Databases
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£52.24
Taylor & Francis Ltd Blockchain for Cybersecurity and Privacy
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£161.50
Taylor & Francis Ltd Remote Delivery
Book SynopsisThis book records the author's years of experience in the software industry. In his own practices, the author has found that the distributed work pattern has become increasingly popular in more and more work environments, either between vendors and customers or between different teams inside a company. This means that all practitioners in the software industry need to adapt to this new way of communication and collaboration and get skilled enough to meet the greater challenges in integrating the distributed work pattern with agile software delivery. By centering on the difficulties in communication and collaboration between distributed teams, this book digs into the reasons why so many remote delivery projects end up anticlimactic and provides solutions for readers' reference. It also cites successful cases in promoting agile development in distributed teams, which has been a vexing problem for many software development companies. In addition, readers can find suggestions andTable of ContentsForeword 1: Taking Up Delivery Wholeheartedly. Foreword 2: Pursue Ideal Software Delivery. Preface. Chapter 1 Current Situation of Distributed Teams. Chapter 2 Communication between Distributed Teams. Chapter 3 Collaboration between Distributed Teams. Chapter 4 Application of Visualization. Chapter 5 Waste in Distributed Teams. Chapter 6 Self-Managed Offshore Teams. Chapter 7 Customer-Oriented Offshore Teams. Chapter 8 The Future of Distributed Teams. Postscript. References. Index.
£107.57
Taylor & Francis Ltd The Design and Implementation of the RTThread Operating System
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£71.24
Taylor & Francis Ltd Software Quality Assurance
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£37.04
Taylor & Francis Ltd C Template Metaprogramming in Practice A Deep Learning Framework
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£94.99
Taylor & Francis Ltd The Design and Implementation of the RTThread Operating System
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£42.74
Taylor & Francis Ltd Recommender Systems
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£94.99
Taylor & Francis Ltd Intelligent Mobile Malware Detection
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£69.34
Taylor & Francis Ltd Biometric Data in Smart Cities
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£87.39
Taylor & Francis Ltd Biometric Data in Smart Cities
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£43.69
Taylor & Francis Ltd Integrating a Usable Security Protocol into User Authentication Services Design Process
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£42.99
Taylor & Francis Ltd Software Essentials
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£42.74
Taylor & Francis Ltd Software Design
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£123.50
Taylor & Francis Ltd Continuum and Computational Mechanics for Geomechanical Engineers
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£54.99
Taylor & Francis Ltd Computational Intelligence for Information Retrieval
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£104.50
Taylor & Francis Ltd Designing Secure Systems
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£63.64
Taylor & Francis Ltd Software Engineering
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£56.99
Taylor & Francis Ltd Statistics and Data Visualisation with Python
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£114.00
Taylor & Francis Ltd Remote Delivery
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£42.74
Taylor & Francis Ltd ComponentBased Systems Estimating Efforts Using Soft Computing Techniques
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£128.25
Taylor & Francis International Research in Sports Biomechanics
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£51.29
Taylor & Francis Ltd Somewhat on the Community System Representations of Fourierism in the Works of Nathaniel Hawthorne Studies in Major Literary Authors
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£128.25
Taylor & Francis Hackers Guide to Project Management Routledge 2003
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£56.04
Taylor & Francis Ltd The Complete Book of Middleware
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£95.00
Taylor & Francis Ltd Software Configuration Management
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£114.00
Taylor & Francis Ltd Real Process Improvement Using the CMMI
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£75.99
Taylor & Francis Ltd Service Oriented Enterprises
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£114.00
Taylor & Francis Ltd Modeling Software with Finite State Machines
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£114.00
Taylor & Francis Ltd Handbook of Technology in Financial Services
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£180.50
Taylor & Francis Ltd Foundations of Reinforcement Learning with
Book SynopsisFoundations of Reinforcement Learning with Applications in Finance aims to demystify Reinforcement Learning, and to make it a practically useful tool for those studying and working in applied areas especially finance.Reinforcement Learning is emerging as a powerful technique for solving a variety of complex problems across industries that involve Sequential Optimal Decisioning under Uncertainty. Its penetration in high-profile problems like self-driving cars, robotics, and strategy games points to a future where Reinforcement Learning algorithms will have decisioning abilities far superior to humans. But when it comes getting educated in this area, there seems to be a reluctance to jump right in, because Reinforcement Learning appears to have acquired a reputation for being mysterious and technically challenging.This book strives to impart a lucid and insightful understanding of the topic by emphasizing the foundational mathematics and implemTrade Review“This book is a nice addition to the literature on Reinforcement Learning (RL), offering comprehensive coverage of both foundational RL techniques and their applications in the field of finance. It has the potential to be a foundational reference for both practitioners and researchers in finance. The book delves into essential RL concepts such as Markov Decision Processes (MDPs), Dynamic Programming, Policy Optimization, Actor-Critic models, Multi-armed Bandits, and Regret Bounds.Despite its finance-oriented approach, individuals without an extensive financial background but possessing a decent machine learning (ML) background will find it easy to read this book.By encompassing all of the major asset classes including equities, fixed income and derivatives, the book caters to a broad range of readers, enabling them to apply RL techniques to diverse financial scenarios. In summary, this book is an outstanding resource that combines RL fundamentals with practical applications in finance.” – Natesh Pillai, Department of Statistics, Harvard University, Unites States of AmericaTable of ContentsSection I. Processes and Planning Algorithms. 1. Markov Processes. 2. Markov Decision Processes. 3. Dynamic Programming Algorithms. 4. Function Approximation and Approximate Dynamic Programming. Section II. Modeling Financial Applications. 5. Utility Theory. 6. Dynamic Asset-Allocation and Consumption. 7. Derivatives Pricing and Hedging. 8. Order-Book Trading Algorithms. Section III. Reinforcement Learning Algorithms. 9. Monte-Carlo and Temporal-Difference for Prediction. 10. Monte-Carlo and Temporal-Difference for Control. 11. Batch RL, Experience-Replay, DQN, LSPI, Gradient TD. 12. Policy Gradient Algorithms. Section IV. Finishing Touches. 13. Multi-Armed Bandits: Exploration versus Exploitation. 14. Blending Learning and Planning. 15. Summary and Real-World Considerations. Appendices.
£73.14
Taylor & Francis Ltd User Experience Research and Usability of Health
Book SynopsisHealth information technology (HIT) is a critical component of the modern healthcare system. Yet to be effective and safely implemented in healthcare organizations and physicians and patients' lives, it must be usable and useful. User Experience (UX) research is required throughout the full system design lifecycle of HIT products, which involve a user-centered and human- centered approach. This book discusses UX research frameworks, study designs, methods, data-analysis techniques, and a variety of data collection instruments and tools that can be used to conduct UX research in the healthcare space, all of which involve HIT and digital health. This book is for academics and scholars to be used to design studies for graduate dissertation work, in independent research, or as a textbook for UX/usability courses in health informatics or related health information and communication courses. This book is also useful for UX practitioners because it provides guidance on how to design a userTable of Contents1. Introduction. 2. Definitions: Usability, UX, and UCD. 3. Audience Analysis and Usability Determinants. 4. Quantitative and Qualitative Methods. 5. Mixed-Methods Study Design and Rigor. 6. Content Analysis. 7. Discovery UX Research Studies. 8. Usability Inspection Methods. 9. Quantitative Usability Testing Methods and Metrics. 10. Post-Study Surveys and Retrospective Questionnaires. 11. Conclusion. References. Appendix A. Sample Informed Consent Form. Appendix B. System Usability Scale. Appendix C. Quick Reference Sheet for Study Sample Sizes for Common UX Research.
£48.99
Taylor & Francis Ltd Introduction to Engineering and Scientific
Book SynopsisAs more and more engineering departments and companies choose to use Python, this book provides an essential introduction to this open-source, free-to-use language. Expressly designed to support first-year engineering students, this book covers engineering and scientific calculations, Python basics, and structured programming.Based on extensive teaching experience, the text uses practical problem solving as a vehicle to teach Python as a programming language. By learning computing fundamentals in an engaging and hands-on manner, it enables the reader to apply engineering and scientific methods with Python, focusing this general language to the needs of engineers and the problems they are required to solve on a daily basis. Rather than inundating students with complex terminology, this book is designed with a leveling approach in mind, enabling students at all levels to gain experience and understanding of Python. It covers such topics as structured programming, graphics, matrTable of ContentsChapter 1 Engineering and Scientific CalculationsChapter 2 Computer-Based CalculationsChapter 3 Python BasicsChapter 4 Structured Programming with PythonChapter 5 Graphics—MatplotlibChapter 6 Array and Matrix OperationsChapter 7 Solving Single Algebraic EquationsChapter 8 Solving Sets of Algebraic EquationsChapter 9 Solving Differential EquationsChapter 10 Working with Data
£87.39
Taylor & Francis Ltd Intermediate C Programming
Book SynopsisRevised for a new second edition, Intermediate C Programming provides a stepping-stone for intermediate-level students to go from writing short programs to writing real programs well. It shows students how to identify and eliminate bugs, write clean code, share code with others, and use standard Linux-based tools, such as ddd and valgrind.This second edition provides expanded coverage of these topics with new material focused on software engineering, including version control and unit testing. The text enhances their programming skills by explaining programming concepts and comparing common mistakes with correct programs. It also discusses how to use debuggers and the strategies for debugging as well as studies the connection between programming and discrete mathematics.Including additional student and instructor resources available online, this book is particularly appealing as a classroom resource.Table of ContentsList of FiguresList of TablesForeword for the First EditionRecommendations for the First EditionPrefaceAcknowledgementsSource CodeAuthor and ArtistI Storage: Memory and File1. Program Execution2. Stack Memory3. Prevent, Detect and Remove Bugs4. Pointers5. Writing and Testing Programs6. Strings7. Heap Memory8. Programming Problems Using Heap Memory9. Reading and Writing Files10. Programming Problems Using File11. Array Index, Security and Trends12. Version ControlII Recursion13. Concept14. Recursive C Functions15. Integer Partition16. Programming Problems Using RecursionIII Structure17. Programmer-Defined Data Types18. Programming Problems Using Structure19. Linked Lists20. Programming Problems Using Linked List21. Binary Search Tree22. Parallel Programming Using Threads23. Unit TestIV Applications24. Find the Exit of a Maze25. Sudoku26. Image Processing27. Huffman CompressionIndexEpilogue: The Computer Engineer as Tool-User
£44.99
Taylor & Francis Ltd Python for Scientific Computing and Artificial
Book SynopsisPython for Scientific Computing andArtificial Intelligence is split into 3 parts: in Section 1, the reader is introduced to the Python programming language and shown how Python can aid in the understanding of advanced High School Mathematics. In Section 2, the reader is shown how Python can be used to solve real-world problems from a broad range of scientific disciplines. Finally, in Section 3, the reader is introduced to neural networks and shown how TensorFlow (written in Python) can be used to solve a large array of problems in Artificial Intelligence (AI).This book was developed from a series of national and international workshops that the author has been delivering for over twenty years. The book is beginner friendly and has a strong practical emphasis on programming and computational modelling.Features: No prior experience of programming is required Online GitHub repository available with codes for readers to practice Table of ContentsSection I. An Introduction to Python. 1. The IDLE Integrated Development Learning Environment. 2. Anaconda, Spyder and the Libraries NumPy, Matplotlib and SymPy. 3. Jupyter Notebooks and Google Colab. 4. Python for AS-Level (High School) Mathematics. 5. Python for A-Level (High School) Mathematics. Section II. Python for Scientific Computing. 6. Biology. 7. Chemistry. 8. Data Science. 9. Economics. 10. Engineering. 11. Fractals and Multifractals. 12. Image Processing. 13. Numerical Methods for Ordinary and Partial Differential Equations. 14. Physics. 15. Statistics. Section III. Artificial Intelligence. 16. Brain Inspired Computing. 17. Neural Networks and Neurodynamics. 18. TensorFlow and Keras. 19. Recurrent Neural Networks. 20. Convolutional Neural Networks, TensorBoard, and Further Reading. 21. Answers and Hints to Exercises.
£52.24
Taylor & Francis Ltd Computer Arithmetic in Practice
Book SynopsisComputer Arithmetic in Practice: Exercises and Programming is a simple, brief introductory volume for undergraduate and graduate students at university courses interested in understanding the foundation of computers. It is focused on numeric data formats and capabilities of computers to perform basic arithmetic operations. It discusses mainly such topics as: Basic concepts of computer architecture Assembly language programming skills Data formats used to express integer and real numbers Algorithms of basic arithmetic operations Short overview of nonlinear functions evaluation Discussion on limited number representation and computer arithmetic Exercises and programming tasks This book provides an accessible overview of common data formats used to write numbers in programming languages and how the computer performs four basic arithmetic operations from the point of view of the processor instruction set. ThTable of ContentsChapter 1: Basic concepts of computer architecture. Chapter 2: Numbers in fixed-point format. Chapter 3: Basic arithmetic on fixed-point numbers. Chapter 4: Numbers in floating-point format. Chapter 5: Basic arithmetic operations on floating-point numbers. Chapter 6: Limited quality of arithmetic operations. Appendices. Index. References.
£29.99
Taylor & Francis Ltd Elements of Digital Transformation
Book SynopsisElements of Digital Transformation is a practitioner's guide to the digital transformation process. It is also a guide for managers in today's organizations that are accelerating digital transformation to modernize core technology capabilities and processes. The book discusses such key components of digital transformation as processes, principles and proven methods. It also covers such novel concepts in digital transformation as the first-time right framework, incident management transformation, digital factory, cloud migration, API-first approach and legacy modernization. Other highlights of the book include: A cloud migration framework along with a cloud migration methodology, rollout strategy and migration principles Principles and approaches for legacy modernization and process modernization Smart ticket management, smart problem management, proactive maintenance and ticket-avoidance architecture The novel digital factory approTable of ContentsPART I DIGITAL TRANSFORMATION INTRODUCTION 1. An Introduction to Digital Transformation 2. Digital Transformation Framework PART II MIGRATION AND MODERNIZATION 3. Legacy Modernization 4. Cloud Migration PART III DIGITAL TRANSFORMATION OF TECHNOLOGY 5. Services Transformation 6. Digital Factory for Digital Transformation 7. First Time Right Methodology in Digital Transformations 8. Experience Transformation 9. Transforming the Platform Performance 10. AI and Digital Transformation. PART IV DIGITAL TRANSFORMATION OF PROCESS 11. Agile Delivery in Digital Transformation 12. Digital Transformation of Incident Management Process PART V DIGITAL TRANSFORMATION OF OPERATIONS 13. Digital Transformation Operations 14. Automation through DevSecOps PART VI DIGITAL TRANSFORMATION CASE STUDIES 15. Digital Transformation Case Studies 16. Digital Transformation of Intranet Platforms
£44.99
Taylor & Francis Ltd Winning Together
Book SynopsisUX research, the key to comprehending users'' behaviors, motivations, and preferences for developing delightful experiences, thrives on effective teamwork and collaboration. This comprehensive guide brings together the expertise and insights from seasoned researchers, cross-functional partners, and product leaders in order to transform how you collaborate and unlock the true potential of UX research.Key FeaturesIncludes a comprehensive selection of ready-to-use templatesIncorporates insights and advice from cross-functional stakeholdersOffers a wide range of strategies tailored to various expertise levels, catering to both novice and advanced practitionersPresents universally applicable methodologies and insights, equipping a diverse range of researchers, including consultants, vendors, and in-house professionalsFroTable of Contents1. Introduction, 2. Who Are (Your) Cross-Functional Partners and Why Is Their Buy-In Important?, 3. Mistakes That UX Researchers Make With Cross-Functional Partnerships, 4. Simple Strategies for Effective Cross-Functional Collaboration, 5. Advanced Strategies for Effective Cross-Functional Collaboration
£42.99
Taylor & Francis Ltd Learning Professional Python
Volume 1 of Learning Professional Python is a resource for students who want to learn Python even if they don't have any programming knowledge and for teachers who want a comprehensive introduction to Python to use with their students. This book helps the students achieve their dream job in IT Industry and teaches the students in an easy, understandable manner while strengthening coding skills.Learning Professional Python: Volume 1 Objectives Become familiar with the features of Python programming language Introduce the object-oriented programming concepts Discover how to write Python code by following the object-oriented programming concepts Become comfortable with concepts such as classes, objects, inheritance, dynamic dispatch, interfaces, and packages Learn the Python generics and collections Develop exception handling and the multi
£50.34
Taylor & Francis Ltd NLP Application
Book SynopsisApplying Natural Language Processing (NLP) concepts to help humans in their daily life, this book discusses an automatic translation of an unstructured Natural Language Question (NLQ) into a Structured Query Language (SQL) statement. Using SQL as a Relational DataBase (RDB) interaction language, database administrators or general users with little to no SQL querying abilities are provided with all the knowledge necessary to perform queries on RDBs in an interactive manner.Key Features: Includes extensive and illustrative examples to simplify the discussed concepts Discusses a novel, and yet simple, approach to NLP Introduces a lightweight NLQ into SQL translation approach through the use of RDB MetaTables as a Hash table Extensive literature review and thorough background information on every tool, concept and technique applied Providing a unique approach to NLQ into SQTable of ContentsPreface. 1 Introduction. 2 Background Study. 3 Literature Review. 4 Implementation Plan. 5 Implementation User Case Scenario. 6 Implementation Testing and Performance Measurements. 7 Implementation Results Discussion. 8 Conclusion and Future Work. Appendix 1. Appendix 2. Appendix 3. Appendix 4. Appendix 5. Appendix 6. Appendix 7. Appendix 8. Appendix 9. Glossary. References. Index.
£48.99
Taylor & Francis Ltd Data Mining with Python
Book SynopsisData is everywhere and it's growing at an unprecedented rate. But making sense of all that data is a challenge. Data Mining is the process of discovering patterns and knowledge from large data sets, and Data Mining with Python focuses on the hands-on approach to learning Data Mining. It showcases how to use Python Packages to fulfill the Data Mining pipeline, which is to collect, integrate, manipulate, clean, process, organize, and analyze data for knowledge.The contents are organized based on the Data Mining pipeline, so readers can naturally progress step by step through the process. Topics, methods, and tools are explained in three aspects: What it is as a theoretical background, why we need it as an application orientation, and how we do it as a case study.This book is designed to give students, data scientists, and business analysts an understanding of Data Mining concepts in an applicable way. Through interactive tutorials that can be run, modified,
£44.99
Taylor & Francis Ltd Learning Professional Python
Book SynopsisVolume 2 of Learning Professional Python is a resource for students who want to learn Python even if they don't have any programming knowledge and for teachers who want a comprehensive introduction to Python to use with their students. This book helps the students achieve their dream job in the IT Industry and teaches the students in an easy, understandable manner while strengthening coding skills.Learning Professional Python: Volume 2 Objectives Become familiar with the features of Python programming language Introduce the object-oriented programming concepts Discover how to write Python code by following the object-oriented programming concepts Become comfortable with concepts such as classes, objects, inheritance, dynamic dispatch, interfaces, and packages Learn the Python generics and collections Develop exception handling and the mTable of ContentsPreface. Author Biographies. Chapter 1 Classes and Objects. Chapter 2 Inheritance. Chapter 3 Arrays. Chapter 4 Exception Handling. Chapter 5 Multi Threading. Chapter 6 Method Overloading and Operator Overloading. Chapter 7 GUI Programming. Chapter 8 File Handling. Chapter 9 Database Connectivity. Chapter 10 Case Study. INDEX.
£50.34