How do you select the right programming language for the right job? Austin and Chancogne provide students with a collection of four tutorials that cover concepts in modern engineering computations, and engineering programming in Ansi C, Matlab Version 5, and Java 1.1. The text gives practical guidance on selecting the best programming language for a project through a large number of working examples. With the help of these examples, students will learn how to design, write, and execute engineering programs using these programming languages. By incorporating Ansi C, Matlab, and Java into one text, students will quickly learn the strengths and weaknesses of each language. They'll do this with the help of the 56 case study programs and 115 programming exercises integrated throughout the book. A small suite of basic engineering problems is also implemented in each of the three programming languages. The four tutorials featured in the book include:
* Modern Engineering Computations - covers hardware components in a simple computer, operating systems, networks (including the Internet and World Wide Web), and an overview of programming languages.
* C Tutorial - teaches students how to write multi-function C programs. Topics include basic data types, operators and expressions, program control, functions, dynamic memory allocation, and input/output.
* Matlab - shows students how to solve simple matrix programs with simple graphics. This tutorial also demonstrates how MATLAB programs can be much shorter than equivalent implementations in C or Java.
* Java - explains how Java got started, about object-oriented program design, and how to write Java programs with platform-independent graphical user interfaces that can operate across the Internet.

The Extreme Programming Pocket Guide covers XP assumptions, principles, events, artifacts, roles, and resources, and more. It concisely explains the relationships between the XP practices. If you want to adopt XP in stages, the Extreme Programming Pocket Guide will help you choose what to apply and when. Concise and easy to use, this handy pocket guide to XP is a must-have quick reference for anyone implementing a test-driven development environment.

Implement practical data structures and algorithms for text search and discover how it is used inside other larger applications. This unique in-depth guide explains string algorithms using the C programming language. String Algorithms in C teaches you the following algorithms and how to use them: classical exact search algorithms; tries and compact tries; suffix trees and arrays; approximative pattern searches; and more. In this book, author Thomas Mailund provides a library with all the algorithms and applicable source code that you can use in your own programs. There are implementations of all the algorithms presented in this book so there are plenty of examples. You'll understand that string algorithms are used in various applications such as image processing, computer vision, text analytics processing from data science to web applications, information retrieval from databases, network security, and much more. What You Will Learn Use classical exact search algorithms including naive search, borders/border search, Knuth-Morris-Pratt, and Boyer-Moor with or without Horspool Search in trees, use tries and compact tries, and work with the Aho-Carasick algorithm Process suffix trees including the use and development of McCreight's algorithm Work with suffix arrays including binary searches; sorting naive constructions; suffix tree construction; skew algorithms; and the Borrows-Wheeler transform (BWT) Deal with enhanced suffix arrays including longest common prefix (LCP) Carry out approximative pattern searches among suffix trees and approximative BWT searches Who This Book Is For Those with at least some prior programming experience with C or Assembly and have at least prior experience with programming algorithms.

Learn the principles behind object-oriented programming in Ruby and within a few chapters create a fully functional Ruby 3-based application. You'll gain a basic understanding of many ancillary technologies such as databases, XML, web frameworks, and networking - some of which will be needed for your first Ruby application. Based on the bestselling first and second editions, Beginning Ruby 3, 4th Edition is a leading guide to learn Ruby from the ground up. The new edition of this book provides the same excellent introduction to Ruby as the previous editions plus updates for the newest version of Ruby, including performance through an improved allocator, decreased heap fragmentation and more. Also, added: details on the just-in-time compiler, fewer limits on GIL (Global Interpreter Lock), and a static type checker. You'll see why the light and agile Ruby programming language remains a popular open source scripting option for developers building today's web applications. This book can also be used as a textbook or companion to a textbook on beginning Ruby programming. After reading and using this book, you'll have a firm handle to program in the Ruby language. What You Will Learn Discover the fundamentals of Ruby and its object-oriented building blocks Use the Ruby libraries, gems, and documentation Work with files and databases Write and deploy Ruby applications Harness the various Ruby web frameworks and use them effectively Do network programming with Ruby Who This Book Is For Beginning programmers, programmers new to Ruby, and web developers interested in learning the foundations of the Ruby programming language.

"It is the first book that I have read that makes STL quickly usable by working programmers" Francis Glassborow, Chair of The Association of C & C++ Users (ACCU) STL for C++ programmers Leen Ammeraal The Standard Template Library (STL) provides many useful and generally applicable programming tools. This book combines reference material and a well-paced tutorial to get you past the basics quickly. Small, complete programs illustrate the key STL features such as containers, algorithms, iterators and function objects. A section is devoted to the new string data type. All STL algorithms are formally presented by their prototypes and then informally described to show how to use them in practice. Concepts are well illustrated with a large number of example programs all of which are available via ftp (for access details please refer to the preface of the book or Wiley’s website). Finally, special examples are given to explain the advanced notions of function objects and function adaptors, including predicates, binders and negators.

This book constitutes the proceedings of the Second International Workshop on Dynamic Logic, DALI 2019, held in Porto, Portugal in October 2019. The workshop was held in Porto, Portugal, on October 9, 2019, as part of the Formal Methods Week which hosted the 3rd World Congress on Formal Methods. The 12 full papers presented together with 2 short papers were carefully reviewed and selected from 26 submissions. The workshop is based on the project DaLi - Dynamic logics for cyber-physical systems: towards contract based design.

Used by sites as varied as Hulu, GitHub, Shopify, and Airbnb, Ruby on Rails is one of the most popular frameworks for developing web applications, but it can be challenging to learn and use. Whether you're new to web development or new only to Rails, Ruby on Rails (TM) Tutorial, Seventh Edition, is the solution. Best-selling author and leading Rails developer Michael Hartl teaches Rails by guiding you through the development of three example applications of increasing sophistication. The tutorial's examples focus on the general principles of web development needed for virtually any kind of website. The updates to this edition include full compatibility with Rails 7. This indispensable guide provides integrated tutorials not only for Rails, but also for the essential Ruby, HTML, CSS, and SQL skills you need when developing web applications. Hartl explains how each new technique solves a real-world problem, and then he demonstrates it with bite-sized code that's simple enough to understand while still being useful. Whatever your previous web-development experience, this book will guide you to true Rails mastery. This book will help you Set up your Rails development environment Record version changes with Git and create a secure remote repository at GitHub Deploy your applications early and often with Heroku Go beyond generated code to truly understand how to build Rails applications from scratch Learn testing and test-driven development (TDD) Effectively use the model-view-controller (MVC) pattern Structure applications using the REST architecture Build static pages and transform them into dynamic ones Master the Ruby programming skills all Rails developers need Create high-quality site layouts and data models Implement registration and authentication systems, including validation and secure passwords Update, display, and delete users Upload and display images using Active Storage and Amazon S3 Implement account activation and password reset, including sending email with Rails Integrate JavaScript with Rails using Importmap Add social features and microblogging, including an introduction to Hotwire and Turbo "Ruby on Rails (TM) Tutorial by Michael Hartl has become a must-read for developers learning how to build Rails apps." --Peter Cooper, Editor of Ruby Inside Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

A coherent and integrated account of the leading UML 2 semantics work and the practical applications of UML semantics development

With contributions from leading experts in the field, the book begins with an introduction to UML and goes on to offer in-depth and up-to-date coverage of:

The role of semantics

Considerations and rationale for a UML system model

Definition of the UML system model

UML descriptive semantics

Axiomatic semantics of UML class diagrams

The object constraint language

Axiomatic semantics of state machines

A coalgebraic semantic framework for reasoning about interaction designs

Semantics of activity diagrams

Verification of UML models

State invariants

Model transformation specification and verification

Additionally, readers are provided with expert guidance on how to resolve semantic problems and a section on applications of UML semantics with model analysis. "UML 2 Semantics and Applications" is an ideal resource for researchers and tool-builders working in UML, among others. It is also an excellent textbook for postgraduate teaching and research.

Does it seem like your Python projects are getting bigger and bigger? Are you feeling the pain as your codebase expands and gets tougher to debug and maintain? Python is an easy language to learn and use, but that also means systems can quickly grow beyond comprehension. Thankfully, Python has features to help developers overcome maintainability woes. In this practical book, author Patrick Viafore shows you how to use Python's type system to the max. You'll look at user-defined types, such as classes and enums, and Python's type hinting system. You'll also learn how to make Python extensible and how to use a comprehensive testing strategy as a safety net. With these tips and techniques, you'll write clearer and more maintainable code. Learn why types are essential in modern development ecosystems Understand how type choices such as classes, dictionaries, and enums reflect specific intents Make Python extensible for the future without adding bloat Use popular Python tools to increase the safety and robustness of your codebase Evaluate current code to detect common maintainability gotchas Build a safety net around your codebase with linters and tests

Description Xamarin is a toolset that allows users to write native mobile apps in C# and run them on both iOS and Android devices. Xamarin in Action teaches readers how to build Xamarin apps on iOS and Android from scratch while maximizing code re-use. By the end, readers will be able to build a high quality production-ready Xamarin app on iOS and Android from scratch with a high level of code reuse. Key Features * Layer-by-layer guide * Hands-on lessons * Teaches you to build production ready apps Audience This book is for C# developers with a few months through many years of experience who want to build native mobile apps for iOS and Android using the language and toolset they already know. About the technology Xamarin gives users the ability to share large portions of code across two platforms while still letting them write native apps that can take full advantage of the device and OS features specific to each platform. Jim Bennett is a Xamarin MVP, Microsoft MVP, Xamarin Certified Developer and an active community member. He's also a frequent speaker at events all around the world, including Xamarin user groups and Xamarin and Microsoft conferences. He regularly blogs about Xamarin development at https://jimbobbennett.io.

This unique open access book applies the functional OCaml programming language to numerical or computational weighted data science, engineering, and scientific applications. This book is based on the authors' first-hand experience building and maintaining Owl, an OCaml-based numerical computing library. You'll first learn the various components in a modern numerical computation library. Then, you will learn how these components are designed and built up and how to optimize their performance. After reading and using this book, you'll have the knowledge required to design and build real-world complex systems that effectively leverage the advantages of the OCaml functional programming language. What You Will Learn Optimize core operations based on N-dimensional arrays Design and implement an industry-level algorithmic differentiation module Implement mathematical optimization, regression, and deep neural network functionalities based on algorithmic differentiation Design and optimize a computation graph module, and understand the benefits it brings to the numerical computing library Accommodate the growing number of hardware accelerators (e.g. GPU, TPU) and execution backends (e.g. web browser, unikernel) of numerical computation Use the Zoo system for efficient scripting, code sharing, service deployment, and composition Design and implement a distributed computing engine to work with a numerical computing library, providing convenient APIs and high performance Who This Book Is For Those with prior programming experience, especially with the OCaml programming language, or with scientific computing experience who may be new to OCaml. Most importantly, it is for those who are eager to understand not only how to use something, but also how it is built up.

Create cryptocurrency and blockchain applications by examining the key algorithms and concepts pertaining to blockchains, transaction processing, mining, distributed consensus, and anonymous currencies. In this book, you'll develop a fully functional cryptocurrency from scratch in the Python language. Practical Blockchains and Cryptocurrencies is a reference for development of blockchain applications and provides you with rigorous information on cryptography and the theory underlying blockchains. This book consists of small chapters that focus on particular topics. You'll start with a short history of money. Next, you will survey the bitcoin and altcoin ecosystem before delving into cryptographic hash functions, symmetric encryption, public key cryptography, and digital signatures. All the mathematics required to develop blockchain applications is covered. The emphasis is on providing a lucid and rigorous exposition on the nature and working of these constructs. The next major segment of the book discusses the key concepts and algorithms required to develop blockchain and cryptocurrency applications. There are expositions on blockchain construction, Merkle trees, peer-to-peer networks, cryptocurrency addresses, transactions, and mining. You'll take a deep dive into the formation of consensus in distributed systems. In this book you'll develop a fully functional cryptocurrency called Helium from scratch in Python. The language requirements are modest since it is presumed that most readers will not be acquainted with Python. The entire source code and unit test code is included in this book. Practical Blockchains and Cryptocurrencies interleaves theory and Helium program code chapters in order to demonstrate the practical application of theory in working Helium program code. What You Will Learn Gain the mathematical foundations as well as the concepts and algorithms of blockchains and cryptocurrencies Implement a cryptocurrency from scratch in Python Master the design of distributed blockchain applications Who This Book Is For Anyone interested in creating cryptocurrency and blockchain applications

The ideal code review process differs from organization to organization, but the needs all boil down to the same foundational factors. A software development team cannot properly grow if its code reviews are not consistent, straightforward, and aspire to hit several company goals at once, such as security, performance, longevity, and more. Implementing Effective Code Reviews is the manual your team has been seeking. Author Giuliana Carullo uses her expert background to guide you through the basics of building and maintaining clean code, and she is known for distilling complex concepts into entertaining and easy-to-grasp lessons. Healthy code requires incremental improvements, and knowing how to execute this is essential for conducting effective reviews on your team. While complex and fancy code can be interesting to work with, it will not always achieve business goals or solve urgent problems. Good coding practices are at the heart of a high-performing team, and Carullo instills these core values in a simple, straight-forward way in Implementing Effective Code Reviews. Whether you are a passionate programmer looking to go the extra mile at the office, or an experienced software engineer seeking a guide to how to improve your leadership and code review process, this book covers it all. With each chapter wrapped up in a handy checklist of crucial takeaways, Carullo has created an essential handbook for coders everywhere. There are a lot of myths that dominate the programming landscape, and Implementing Effective Code Reviews grounds the process and gets to the heart of the matter. What You Will Learn Understand how to work with your team to implement effective code reviews Master good programming practices that will build healthy code Discover how you should tackle different complex areas during code review like, security and performance Who This Book Is For Passionate programmers willing to go the extra mile to be better at their jobs, new programmers looking to strengthen their programming skills, and experienced software engineers looking for a quick guide on how to review code

A Tour of Data Science: Learn R and Python in Parallel covers the fundamentals of data science, including programming, statistics, optimization, and machine learning in a single short book. It does not cover everything, but rather, teaches the key concepts and topics in Data Science. It also covers two of the most popular programming languages used in Data Science, R and Python, in one source. Key features: Allows you to learn R and Python in parallel Cover statistics, programming, optimization and predictive modelling, and the popular data manipulation tools - data.table and pandas Provides a concise and accessible presentation Includes machine learning algorithms implemented from scratch, linear regression, lasso, ridge, logistic regression, gradient boosting trees, etc. Appealing to data scientists, statisticians, quantitative analysts, and others who want to learn programming with R and Python from a data science perspective.

Write solid, secure, object-oriented code in the new PHP 8. In this book you will create a complete three-tier application using a natural process of building and testing modules within each tier. This practical approach teaches you about app development and introduces PHP features when they are actually needed rather than providing you with abstract theory and contrived examples. In Learn PHP 8, programming examples take advantage of the newest PHP features; you'll follow a learn-by-doing approach, which provides you with complete coding examples. "Do It" exercises in each chapter provide the opportunity to make adjustments to the example code. The end-of-chapter programming exercises allow you to develop your own applications using the algorithms demonstrated in the chapter. Each tier is logically and physically separated using object-oriented and dependency injection techniques, thus allowing independent tiers that can be updated with little or no effect on the other tiers. In addition to teaching good programming practices through OOP, there is a strong emphasis on creating secure code. As each chapter is completed, you'll have the opportunity to design and create an application reinforcing the concepts learned. What You Will Learn Program PHP 8 web applications Use interfaces, containers, and platforms Apply modular programming Manage data objects and use MySQL and other databases Work with multi-functional and secure user interfaces Handle logging exceptions and more Who This Book Is For Those new to web development, specifically PHP programming. Also, this book can be useful to those who have some PHP/web development experience who are new to PHP 8.

Provides complete update and organization of the previous books, with some material moving online; Includes new problems, projects, and exercises; Includes interactive coding resources to accompany the book, including examples in the text, exercises, projects, and refection questions.

The Delphi Quick Syntax Reference is a succinct code and syntax reference guide to Delphi. It presents the fundamental knowledge to get newcomers started with the language and provides a refresher to seasoned or returning Delphi developers. It covers all the new features added by Embarcadero during the last few years. Delphi celebrates 25 years in 2020 and, alongside the free community version that was introduced a couple of years ago, this syntax guide is a great way to get into the language. What You Will Learn Quickly use and learn Delphi Compile, build and run a Delphi program Master Delphi strings, variables, constants, and operators and how to apply them Use conditions, loops, procedures, and functions in Delphi Apply object-oriented programming in Delphi Who This Book Is For Returning or current Delphi developers: The book is a resource for reference for this group of developers especially for the new features that were introduced in the language over the last couple of years. Newcomers to the language: These developers will learn the fundamentals of the language in a very condensed and effective text that accelerates learning.

Understand and implement big data analysis solutions in pandas with an emphasis on performance. This book strengthens your intuition for working with pandas, the Python data analysis library, by exploring its underlying implementation and data structures. Thinking in Pandas introduces the topic of big data and demonstrates concepts by looking at exciting and impactful projects that pandas helped to solve. From there, you will learn to assess your own projects by size and type to see if pandas is the appropriate library for your needs. Author Hannah Stepanek explains how to load and normalize data in pandas efficiently, and reviews some of the most commonly used loaders and several of their most powerful options. You will then learn how to access and transform data efficiently, what methods to avoid, and when to employ more advanced performance techniques. You will also go over basic data access and munging in pandas and the intuitive dictionary syntax. Choosing the right DataFrame format, working with multi-level DataFrames, and how pandas might be improved upon in the future are also covered. By the end of the book, you will have a solid understanding of how the pandas library works under the hood. Get ready to make confident decisions in your own projects by utilizing pandas-the right way. What You Will Learn Understand the underlying data structure of pandas and why it performs the way it does under certain circumstances Discover how to use pandas to extract, transform, and load data correctly with an emphasis on performance Choose the right DataFrame so that the data analysis is simple and efficient. Improve performance of pandas operations with other Python libraries Who This Book Is ForSoftware engineers with basic programming skills in Python keen on using pandas for a big data analysis project. Python software developers interested in big data.

This book constitutes the refereed proceedings of the 13th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2018, held in Funchal, Madeira, Portugal, in March 2018. The 17 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 95 submissions. The papers are organized in topical sections on service science and business information systems and software engineering.

This book constitutes the refereed proceedings of the 20th International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2018, held in Moscow, Russia, in October 2018.The 9 revised full papers presented together with three invited papers were carefully reviewed and selected from 54 submissions. The papers are organized in the following topical sections: FAIR data infrastructures, interoperability and reuse; knowledge representation; data models; data analysis in astronomy; text search and processing; distributed computing; information extraction from text.

This book constitutes the refereed proceedings of the 7th International Symposium on End-User Development, IS-EUD 2017, held in Hatfield, UK, in July 2019. The 9 full papers and 8 short papers presented were carefully reviewed and selected from 35 submissions. The papers discuss progress in research around end-user development through, or towards, methods, socio-technical environments, intelligent agents, as well as the most effective end-user programming paradigms for smart environments. Papers and submissions in all categories addressed this specific theme together with topics that have been traditionally covered by the broader themes of end-user development, such as domain specific tools, spreadsheets, educational applications, and end user aspects.

Over the past two decades, the booming ecommerce and fintech industries have become a breeding ground for fraud. Organizations that conduct business online are constantly engaged in a cat-and-mouse game with these invaders. In this practical book, Gilit Saporta and Shoshana Maraney draw on their experience of fraud fighting to provide best practices, methodologies, and tools to help your organization detect and prevent fraud and other malicious activities. Data scientists, data analysts, and fraud analysts will learn how to identify and quickly respond to attacks. You'll get a comprehensive view of typical incursions as well as recommended detection analytic methods. Online fraud is constantly evolving. This book helps experienced researchers safely guide and protect their organizations in the ever-changing fraud landscape. With this book, you will: Examine current fraud attacks and learn how to mitigate them Find the right balance between preventing fraud and providing a smooth customer experience Share insights across multiple business areas, including ecommerce and banking Evaluate potential risks for a new vertical, market, or product Train and mentor teams by initiating hackathons and kickstarting brainstorming sessions Get a framework of fraud methods and fraud-fighting analytics

This book constitutes the proceedings of the 21th International Conference on Coordination Models and Languages, COORDINATION 2019, held in Kongens Lyngby, Denmark, in June 2019, as part of the 14th International Federated Conference on Distributed Computing Techniques, DisCoTec 2019. The 15 full papers included in this volume were carefully reviewed and selected from 25 submissions. The papers are organized in topical sections named: computational models; tools; exploring new frontiers; and coordination patterns.

Everyone should learn to code. Much like drawing and sketching, playing an instrument, cooking, or taking pictures and shooting videos, coding is a creative endeavor, which means it's a way to actually create stuff, and creating stuff is incredibly rewarding and satisfying. Sure, it's fun to spend hours on your phone looking at what other people have created; but that's nothing compared to the joy and satisfaction of creating things that other people consume and use. Yep, coding is fun!

And if that weren't enough, when you learn to code you develop all sorts of invaluable skills and traits beyond just coding. These include planning, problem solving, communication, logic, empathy, attention to detail, patience, resilience, persistence, and creativity. And it turns out that these skills (especially creativity and creative problem solving) are some of the most in-demand out there. So, coding will help your future career, too, regardless of what that career may be. But, where to start?

Captain Code is a welcoming, engaging, and fun introduction to becoming a coder, designed for the young (ages 10-17) and young-at-heart. Experienced educators and coders Ben & Shmuel Forta will guide you using Python, one of the most popular programming languages in the world. You'll learn by creating games, yes, games, from simple projects to retro text-based adventures to complete graphical arcade style games.