For courses in Object-Oriented Design, C++ Intermediate Programming, and Object-Oriented Programming. Written for software engineers "in the trenches," this text focuses on the technology-the principles, patterns, and process-that help software engineers effectively manage increasingly complex operating systems and applications. There is also a strong emphasis on the people behind the technology. This text will prepare students for a career in software engineering and serve as an on-going education for software engineers.

Model-Based Systems Engineering (MBSE), which tackles architecting and design of complex systems through the use of formal models, is emerging as the most critical component of systems engineering. This textbook specifies the two leading conceptual modeling languages, OPM-the new ISO 19450, composed primarily by the author of this book, and OMG SysML. It provides essential insights into a domain-independent, discipline-crossing methodology of developing or researching complex systems of any conceivable kind and size. Combining theory with a host of industrial, biological, and daily life examples, the book explains principles and provides guidelines for architecting complex, multidisciplinary systems, making it an indispensable resource for systems architects and designers, engineers of any discipline, executives at all levels, project managers, IT professional, systems scientists, and engineering students.

Write code that writes code with Elixir macros. Macros make metaprogramming possible and define the language itself. In this book, you'll learn how to use macros to extend the language with fast, maintainable code and share functionality in ways you never thought possible. You'll discover how to extend Elixir with your own first-class features, optimize performance, and create domain-specific languages. Metaprogramming is one of Elixir's greatest features. Maybe you've played with the basics or written a few macros. Now you want to take it to the next level. This book is a guided series of metaprogramming tutorials that take you step by step to metaprogramming mastery. You'll extend Elixir with powerful features and write faster, more maintainable programs in ways unmatched by other languages. You'll start with the basics of Elixir's metaprogramming system and find out how macros interact with Elixir's abstract format. Then you'll extend Elixir with your own first-class features, write a testing framework, and discover how Elixir treats source code as building blocks, rather than rote lines of instructions. You'll continue your journey by using advanced code generation to create essential libraries in strikingly few lines of code. Finally, you'll create domain-specific languages and learn when and where to apply your skills effectively. When you're done, you will have mastered metaprogramming, gained insights into Elixir's internals, and have the confidence to leverage macros to their full potential in your own projects.

This work provides a short "getting started" guide to Fortran 90/95. The main target audience consists of newcomers to the field of numerical computation within Earth system sciences (students, researchers or scientific programmers). Furthermore, readers accustomed to other programming languages may also benefit from this work, by discovering how some programming techniques they are familiar with map to Fortran 95. The main goal is to enable readers to quickly start using Fortran 95 for writing useful programs. It also introduces a gradual discussion of Input/Output facilities relevant for Earth system sciences, from the simplest ones to the more advanced netCDF library (which has become a de facto standard for handling the massive datasets used within Earth system sciences). While related works already treat these disciplines separately (each often providing much more information than needed by the beginning practitioner), the reader finds in this book a shorter guide which links them. Compared to other books, this work provides a much more compact view of the language, while also placing the language-elements in a more applied setting, by providing examples related to numerical computing and more advanced Input/Output facilities for Earth system sciences. Naturally, the coverage of the programming language is relatively shallow, since many details are skipped. However, many of these details can be learned gradually by the practitioner, after getting an overview and some practice with the language through this book.

Graph algorithms are increasingly critical for a wide range of applications, such as network connectivity, circuit design, scheduling, transaction processing, and resource allocation. In the third edition, many new algorithms are presented, and the explanations of each algorithm are much more detailed than in previous editions. A new text design and detailed, innovative figures, with accompanying commentary, greatly enhance the presentation. Source code for the implementations is available via the Internet.

PHP is gaining positive reputation for its system administration and client-side application development capabilities. This administration and development is accomplished using the PHP-GTK extension. You can take advantage of client-side applications by implementing language bindings for the GTK (the GIMP Toolkit) library for creating cross-platform graphical user interfaces.

"Pro PHP-GTK" acts as both a definitive reference and a hands-on tutorial to the PHP-GTK extension. The book couples the extension's key topics with practical examples to guide you through a real-world project: developing a database-driven client-side inventory manager. You'll also learn how to integrate this feature with other emerging technologies like SOAP and RSS, and how to generate XML-based interfaces.

A system for statistical computing and dynamic graphics, based on the LISP language, is described in this book, which shows how to use the system for statistical calculations and graphs. The computations supported range from summary statistics through fitting linear and nonlinear regression models to general maximum likelihood estimation and approximate Bayesian computations. Standard graphs include scatter plots, rotatable plots and scatterplot matrices. No prior knowledge of LISP is assumed; the basics are introduced as they are needed. Several chapters include extensive examples.

For courses in Visual Basic Programming. A Current and Comprehensive Introduction to Visual Basic Programming Schneider's Introduction to Programming Using Visual Basic has been consistently praised in the industry since 1991 and is a favorite of instructors and students. The 11th Edition is updated for Visual Basic 2017, providing an ideal tool for students learning their first programming language. The text keeps pace with modern programming methodology while incorporating current content and good programming practices. Schneider emphasizes problem solving by discussing problem-solving techniques early and using them throughout the book. He also ensures each chapter is rich yet concise by developing chapters around crucial subjects rather than covering too many topics superficially. The new edition provides a broad range of real-world examples, section-ending exercises, case studies, and programming projects that provide students with the most current and hands-on experience of any Visual Basic book on the market. The number and range of projects give instructors the flexibility to adapt the course according to the interests and abilities of students. Some programming projects in later chapters can be assigned as end-of-the-semester projects. Also available with MyLab Programming MyLab (TM) is the teaching and learning platform that empowers you to reach every student. By combining trusted author content with digital tools and a flexible platform, MyLab personalizes the learning experience and improves results for each student.With MyLab Programming, students work through hundreds of short, auto-graded coding exercises and receive immediate and helpful feedback based on their work. Note: You are purchasing a standalone product; MyLab Programming does not come packaged with this content. Students, if interested in purchasing this title with MyLab Programming, ask your instructor for the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information. If you would like to purchase both the physical text and MyLab Programming, search for: 0135862167 / 9780135862162 Introduction to Programming Using Visual Basic Plus MyLab Programming - Access Card Package, 11e Package consists of: 0135416116 / 9780135416112 MyLab Programming Standalone Access Card 0135416035 / 9780135416037 Introduction to Programming Using Visual Basic

Assembly Language for x86 Processors, 7e is suitable for undergraduate courses in assembly language programming and introductory courses in computer systems and computer architecture. Proficiency in one other programming language, preferably Java, C, or C++, is recommended. Written specifically for 32- and 64-bit Intel/Windows platform, this complete and fully updated study of assembly language teaches students to write and debug programs at the machine level. This text simplifies and demystifies concepts that students need to grasp before they can go on to more advanced computer architecture and operating systems courses. Students put theory into practice through writing software at the machine level, creating a memorable experience that gives them the confidence to work in any OS/machine-oriented environment. Teaching and Learning Experience This program presents a better teaching and learning experience-for you and your students. It will help: *Teach Effective Design Techniques: Top-down program design demonstration and explanation allows students to apply techniques to multiple programming courses.*Put Theory into Practice: Students will write software at the machine level, preparing them to work in any OS/machine-oriented environment. *Tailor the Text to Fit your Course: Instructors can cover optional chapter topics in varying order and depth. *Support Instructors and Students: Visit the author's web site http: //asmirvine.com/ for chapter objectives, debugging tools, supplemental files, a Getting Started with MASM and Visual Studio 2012 tutorial, and more

The C++ Pocket Reference is a memory aid for C++ programmers, enabling them to quickly look up usage and syntax for unfamiliar and infrequently used aspects of the language. The book's small size makes it easy to carry about, ensuring that it will always be at-hand when needed. Programmers will also appreciate the book's brevity; as much information as possible has been crammed into its small pages.

DLP denotes a dynamic-linear modeling and optimization approach to computational decision support for resource planning problems that arise, typically, within the natural resource sciences and the disciplines of operations research and operational engineering. It integrates techniques of dynamic programming (DP) and linear programming (LP) and can be realized in an immediate, practical and usable way. Simultaneously DLP connotes a broad and very general modeling/ algorithmic concept that has numerous areas of application and possibilities for extension. Two motivating examples provide a linking thread through the main chapters, and an appendix provides a demonstration program, executable on a PC, for hands-on experience with the DLP approach.

Updated for C11 Write powerful C programs...without becoming a technical expert! This book is the fastest way to get comfortable with C, one incredibly clear and easy step at a time. You'll learn all the basics: how to organize programs, store and display data, work with variables, operators, I/O, pointers, arrays, functions, and much more. C programming has neverbeen this simple! Who knew how simple C programming could be? This is today's best beginner's guide to writing C programs-and to learning skills you can use with practically any language. Its simple, practical instructions will help you start creating useful, reliable C code, from games to mobile apps. Plus, it's fully updated for the new C11 standard and today's free, open source tools! Here's a small sample of what you'll learn: * Discover free C programming tools for Windows, OS X, or Linux * Understand the parts of a C program and how they fit together * Generate output and display it on the screen * Interact with users and respond to their input * Make the most of variables by using assignments and expressions * Control programs by testing data and using logical operators * Save time and effort by using loops and other techniques * Build powerful data-entry routines with simple built-in functions * Manipulate text with strings * Store information, so it's easy to access and use * Manage your data with arrays, pointers, and data structures * Use functions to make programs easier to write and maintain * Let C handle all your program's math for you * Handle your computer's memory as efficiently as possible * Make programs more powerful with preprocessing directives

With a worldwide community of users and more than a million dedicated programmers, Perl has proven to be the most effective language for the latest trends in computing and business.

Every programmer must keep up with the latest tools and techniques. This updated version of "Advanced Perl Programming" from O'Reilly gives you the essential knowledge of the modern Perl programmer. Whatever your current level of Perl expertise, this book will help you push your skills to the next level and become a more accomplished programmer.

O'Reilly's most high-level Perl tutorial to date, "Advanced Perl Programming," Second Edition teaches you all the complex techniques for production-ready Perl programs. This completely updated guide clearly explains concepts such as introspection, overriding built-ins, extending Perl's object-oriented model, and testing your code for greater stability.

Other topics include:

Complex data structures

Parsing

Templating toolkits

Working with natural language data

Unicode

Interaction with C and other languages

In addition, this guide demystifies once complex topics like object-relational mapping and event-based development-arming you with everything you need to completely upgrade your skills.

Praise for the Second Edition:

"Sometimes the biggest hurdle to problem solving isn't the subject itself but rather the sheer number of modules Perl provides. "Advanced Perl Programming" walks you through Perl's TMTOWTDI ("There's More Than One Way To Do It") forest, explaining and comparing the best modules for each task so you can intelligently apply them in a variety of situations." --Rocco Caputo, lead developer of POE

"It has beensaid that sufficiently advanced Perl code is indistinguishable from magic. This book of spells goes a long way to unlocking those secrets. It has the power to transform the most humble programmer into a Perl wizard." --Andy Wardley

"The information here isn't theoretical. It presents tools and techniques for solving real problems cleanly and elegantly." --Curtis 'Ovid' Poe

" "Advanced Perl Programming" collects hard-earned knowledge from some of the best programmers in the Perl community, and explains it in a way that even novices can apply immediately." --chromatic, Editor of Perl.com

This text is intended for a 1-semester CS1 course sequence. The Brief Version contains the first 18 chapters of the Comprehensive Version. The first 13 chapters are appropriate for preparing the AP Computer Science exam. For courses in Java Programming. A fundamentals-first introduction to basic programming concepts and techniques Designed to support an introductory programming course, Introduction to Java Programming and Data Structures, Brief Version teaches concepts of problem-solving and object-orientated programming using a fundamentals-first approach. Beginner programmers learn critical problem-solving techniques then move on to grasp the key concepts of object-oriented, GUI programming, advanced GUI and Web programming using JavaFX. This course approaches Java GUI programming using JavaFX, which has replaced Swing as the new GUI tool for developing cross-platform-rich Internet applications and is simpler to learn and use. The 11th edition has been completely revised to enhance clarity and presentation, and includes new and expanded content, examples, and exercises.

This textbook covers R data analysis related to environmental science, starting with basic examples and proceeding up to advanced applications of the R programming language. The main objective of the textbook is to serve as a guide for undergraduate students, who have no previous experience with R, but part of the textbook is dedicated to advanced R applications, and will also be useful for Masters and PhD students, and professionals. The textbook deals with solving specific programming tasks in R, and tasks are organized in terms of gradually increasing R proficiency, with examples getting more challenging as the chapters progress. The main competencies students will acquire from this textbook are: manipulating and processing data tables performing statistical tests creating maps in R This textbook will be useful in undergraduate and graduate courses in Advanced Landscape Ecology, Analysis of Ecological and Environmental Data, Ecological Modeling, Analytical Methods for Ecologists, Statistical Inference for Applied Research, Elements of Statistical Methods, Computational Ecology, Landscape Metrics and Spatial Statistics.

Written by two very experienced instructors, with more than thirty years of teaching experience between them; Presents material that is grounded in practical applications that are representative of the problems researchers encounter in real life; Teaches readers the core features of modern JavaScript; Covers programming with callbacks and promises; Describes how to build data services and data visualization;

The simple, static hypertext documents that currently dominate the Web canconvey a great deal of information, but eventually their limitations becomeclear. What if you wish to provide dynamic data--information that changes overtime? What if you want to sell products on your Web site and secure paymentinformation from users? Or what if you seek to provide a search facility thatpermits a Web database to be explored? Dynamic resources of this sort areaccomplished through CGI (Common Gateway Interface) programming. CGI programs can take advantage of any resource available to the servercomputer to generate their output and can also accept input from the userthrough forms. These two basic capabilities have led to a wide variety ofapplications, such as forms processing, generation of inline images and movies,the formatting of data sets based on queries to a database, real-time updatesto Web pages, and more. CGI Programming in C and Perl shows you how to create theseinteractive, multimedia documents via CGI programming in two practicallanguages: C, which has distinct performance advantages, and Perl, one of themost popular for CGI today.Applications and source code are presented in both languages. You'll learn how to: *generate HTML pages and images on the fly *get CGI access on your ISP's site *ensure security for your CGI-activated site *parse form submissions directly *send e-mail via forms and CGI. 0201422190B04062001

Developed from the author's many years of teaching computing courses, Programming in C++ for Engineering and Science guides students in designing programs to solve real problems encountered in engineering and scientific applications. These problems include radioactive decay, pollution indexes, digital circuits, differential equations, Internet addresses, data analysis, simulation, quality control, electrical networks, data encryption, beam deflection, and many other areas. To make it easier for novices to develop programs, the author uses an object-centered design approach that helps students identify the objects in a problem and the operations needed; develop an algorithm for processing; implement the objects, operations, and algorithm in a program; and test, correct, and revise the program. He also revisits topics in greater detail as the text progresses. By the end of the book, students will have a solid understanding of how C++ can be used to process complex objects, including how classes can be built to model objects. Web ResourceThe book's website at http://cs.calvin.edu/books/c++/engr-sci provides source code, expanded presentations, links to relevant sites, reference materials, lab exercises, and projects. For instructors, solutions to exercises and PowerPoint slides for classroom use are available upon qualifying course adoption.

With multicore processors now in every computer, server, and embedded device, the need for cost-effective, reliable parallel software has never been greater. By explaining key aspects of multicore programming, Fundamentals of Multicore Software Development helps software engineers understand parallel programming and master the multicore challenge. Accessible to newcomers to the field, the book captures the state of the art of multicore programming in computer science. It covers the fundamentals of multicore hardware, parallel design patterns, and parallel programming in C++, .NET, and Java. It also discusses manycore computing on graphics cards and heterogeneous multicore platforms, automatic parallelization, automatic performance tuning, transactional memory, and emerging applications. As computing power increasingly comes from parallelism, software developers must embrace parallel programming. Written by leaders in the field, this book provides an overview of the existing and up-and-coming programming choices for multicores. It addresses issues in systems architecture, operating systems, languages, and compilers.

VerilogA(R) Quickstart is a basic, practical, introductory textbook for professionals and students alike. This book explains how a designer can be more effective through the use of the Verilog hardware description language to simulate and document a design. By understanding simulation, a designer can simulate a design to see if a design works before it is built. This gives the designer an opportunity to try different ideas. Documentation allows a designer to maintain and reuse a design more easily. Verilog's intrinsic hierarchical modularity enables the designer to easily reuse portions of the design as intellectual property' or macro-cells'. VerilogA(R) Quickstart presents some of the formal Verilog syntax and definitions and then shows practical uses. This book does not oversimplify the Verilog language nor does it emphasize theory. VerilogA(R) Quickstart has over 100 examples that are used to illustrate aspects of the language. In the later chapters the focus is on working with modeling style and explaining why and when one would use different elements of the language. Another feature of the book is the chapter on state machine modeling. There is also a chapter on test benches and testing strategy as well as a chapter on debugging. VerilogA(R) Quickstart is designed to teach the Verilog language, to show the designer how to model in Verilog and to explain the basics of using Verilog simulators.

Currently, we see a variety of tools and techniques for specifying and implementing business processes. The problem is that there are still gaps and tensions between the different disciplines needed to improve business process execution and improvement in enterprises. Business process modeling, workflow execution and application programming are examples of disciplines that are hosted by different communities and that emerged separately from each other. In particular, concepts have not yet been fully elaborated at the system analysis level. Therefore, practitioners are faced again and again with similar questions in concrete business process projects: Which decomposition mechanism to use? How to find the correct granularity for business process activities? Which implementing technology is the optimal one in a given situation? This work offers an approach to the systematization of the field. The methodology used is explicitly not a comparative analysis of existing tools and techniques - although a review of existing tools is an essential basis for the considerations in the book. Rather, the book tries to provide a landscape of rationales and concepts in business processes with a discussion of alternatives.

Learn to master basic programming tasks from scratch with real-life scientifically relevant examples and solutions drawn from both science and engineering. Students and researchers at all levels are increasingly turning to the powerful Python programming language as an alternative to commercial packages and this fast-paced introduction moves from the basics to advanced concepts in one complete volume, enabling readers to quickly gain proficiency. Beginning with general programming concepts such as loops and functions within the core Python 3 language, and moving onto the NumPy, SciPy and Matplotlib libraries for numerical programming and data visualisation, this textbook also discusses the use of IPython notebooks to build rich-media, shareable documents for scientific analysis. Including a final chapter introducing challenging topics such as floating-point precision and algorithm stability, and with extensive online resources to support advanced study, this textbook represents a targeted package for students requiring a solid foundation in Python programming.

It's time to dispel the myth that machine learning is difficult. Grokking Machine Learning teaches you how to apply ML to your projects using only standard Python code and high school-level math. No specialist knowledge is required to tackle the hands-on exercises using readily available machine learning tools! In Grokking Machine Learning, expert machine learning engineer Luis Serrano introduces the most valuable ML techniques and teaches you how to make them work for you. Practical examples illustrate each new concept to ensure you're grokking as you go. You'll build models for spam detection, language analysis, and image recognition as you lock in each carefully-selected skill. Packed with easy-to-follow Python-based exercises and mini-projects, this book sets you on the path to becoming a machine learning expert. Key Features * Different types of machine learning, including supervised and unsupervised learning * Algorithms for simplifying, classifying, and splitting data * Machine learning packages and tools * Hands-on exercises with fully-explained Python code samples For readers with intermediate programming knowledge in Python or a similar language. About the technology Machine learning is a collection of mathematically-based techniques and algorithms that enable computers to identify patterns and generate predictions from data. This revolutionary data analysis approach is behind everything from recommendation systems to self-driving cars, and is transforming industries from finance to art. Luis G. Serrano has worked as the Head of Content for Artificial Intelligence at Udacity and as a Machine Learning Engineer at Google, where he worked on the YouTube recommendations system. He holds a PhD in mathematics from the University of Michigan, a Bachelor and Masters from the University of Waterloo, and worked as a postdoctoral researcher at the University of Quebec at Montreal. He shares his machine learning expertise on a YouTube channel with over 2 million views and 35 thousand subscribers, and is a frequent speaker at artificial intelligence and data science conferences.

The art, craft, discipline, logic, practice and science of developing large-scale software products needs a professional base. The textbooks in this three-volume set combine informal, engineeringly sound approaches with the rigor of formal, mathematics-based approaches.

This volume covers the basic principles and techniques of specifying systems and languages. It deals with modelling the semiotics (pragmatics, semantics and syntax of systems and languages), modelling spatial and simple temporal phenomena, and such specialized topics as modularity (incl. UML class diagrams), Petri nets, live sequence charts, statecharts, and temporal logics, including the duration calculus. Finally, the book presents techniques for interpreter and compiler development of functional, imperative, modular and parallel programming languages.

This book is targeted at late undergraduate to early graduate university students, and researchers of programming methodologies. Vol. 1 of this series is a prerequisite text.