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This book is intended for individuals and students learning to program. You may already have done some programming in other languages, but not be familiar with Python. Novice programmers should work through the book sequentially, starting at Chapter 1. It will also be a useful reference book for students on a programming course or anyone working on a programming project. It teaches basic syntax and programming techniques, and introduces three inbuilt Python modules: "> Tkinter, used for building a graphical user interface, which is an option that some users may like to include in their project work. "> SQLite, which enables the creation and processing of a database from within a Python program. This provides an alternative to writing to a text file when data needs to be stored and retrieved "> .pdb, Python's debugging module, which can be used to help find elusive logic errors. Questions and exercises are included in every chapter. Answers to these as well as over 120 Python programs for all the examples and exercises given in the book may be downloaded from www.pgonline.co.uk. These programs enable users of the book to try out the in-text examples and check possible solutions to the exercises.
If you know how to program, you're ready to tackle Bayesian statistics. With this book, you'll learn how to solve statistical problems with Python code instead of mathematical formulas, using discrete probability distributions rather than continuous mathematics. Once you get the math out of the way, the Bayesian fundamentals will become clearer and you'll begin to apply these techniques to real-world problems. Bayesian statistical methods are becoming more common and more important, but not many resources are available to help beginners. Based on undergraduate classes taught by author Allen B. Downey, this book's computational approach helps you get a solid start. Use your programming skills to learn and understand Bayesian statistics Work with problems involving estimation, prediction, decision analysis, evidence, and Bayesian hypothesis testing Get started with simple examples, using coins, dice, and a bowl of cookies Learn computational methods for solving real-world problems
Why is PHP the most widely used programming language on the web? This updated edition teaches everything you need to know to create effective web applications using the latest features in PHP 7.4. You'll start with the big picture and then dive into language syntax, programming techniques, and other details, using examples that illustrate both correct usage and common idioms. If you have a working knowledge of HTML, authors Kevin Tatroe and Peter MacIntyre provide many style tips and practical programming advice in a clear and concise manner to help you become a top-notch PHP programmer. Understand what's possible when you use PHP programs Learn language fundamentals, including data types, variables, operators, and flow control statements Explore functions, strings, arrays, and objects Apply common web application techniques, such as form processing, data validation, session tracking, and cookies Interact with relational databases like MySQL or NoSQL databases such as MongoDB Generate dynamic images, create PDF files, and parse XML files Learn secure scripts, error handling, performance tuning, and other advanced topics Get a quick reference to PHP core functions and standard extensions
Domain-Driven Design (DDD) is a software development philosophy for tackling complex systems. Software is based around a model of the business domain in code to enable developers and business users to talk about problems in a single language. DDD is attracting new adoptees as .NET developers continue to mature and seek out best practices for developing enterprise level applications.This book is the first to present the philosophy of DDD in a down to earth practical manner for experienced developers. It shows developers how the concepts of DDD can be applied to their applications with real world examples. Unlike other books on the subject, it is packed with patterns, code examples and case studies that help to cement the theory of DDD.After introducing readers to DDD and its application (complete with development best practices and patterns), it goes on to explain Command, Query, Responsibility Segregation Architecture (CQRS), an architectural pattern that can be used to implement a DDD design methodology. Finally, a case study is included to show DDD, CQRS, and Messaging Pub/Sub architecture in the context of a real set of enterprise applications.The book includes: An introduction to the philosophy of Domain-Driven Design (DDD)Command, Query, Responsibility Segregation Architecture (CQRS)DDD Best practices for modeling patternsPublish/Subscribe Messaging Architecture for Bounded Contexts Throughout, the book gives the reader masses of code and examples of the concepts that other books have theorized about.
This book records the author's years of feelings and experiences in 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 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 the 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 of many software development companies. In addition, readers can find suggestions and measures for building self-managing teams in this book. So it is a practical guide for software delivery teams with their members distributed in different places, and companies engaged in software customization. Developers, QAs, product managers and project leaders can also get inspired from this book.
This book focuses on a specialized branch of the vast domain of software engineering: component-based software engineering (CBSE). Component-Based Software Engineering: Methods and Metrics enhances the basic understanding of components by defining categories, characteristics, repository, interaction, complexity, and composition. It divides the research domain of CBSE into three major sub-domains: (1) reusability issues, (2) interaction and integration issues, and (3) testing and reliability issues. This book covers the state-of-the-art literature survey of at least 20 years in the domain of reusability, interaction and integration complexities, and testing and reliability issues of component-based software engineering. The aim of this book is not only to review and analyze the previous works conducted by eminent researchers, academicians, and organizations in the context of CBSE, but also suggests innovative, efficient, and better solutions. A rigorous and critical survey of traditional and advanced paradigms of software engineering is provided in the book. Features: In-interactions and Out-Interactions both are covered to assess the complexity. In the context of CBSE both white-box and black-box testing methods and their metrics are described. This work covers reliability estimation using reusability which is an innovative method. Case studies and real-life software examples are used to explore the problems and their solutions. Students, research scholars, software developers, and software designers or individuals interested in software engineering, especially in component-based software engineering, can refer to this book to understand the concepts from scratch. These measures and metrics can be used to estimate the software before the actual coding commences.
This book brings together the insights and practical experience of some of the most experienced Data Plane Development Kit (DPDK) technical experts, detailing the trend of DPDK, data packet processing, hardware acceleration, packet processing and virtualization, as well as the practical application of DPDK in the fields of SDN, NFV, and network storage. The book also devotes many chunks to exploring various core software algorithms, the advanced optimization methods adopted in DPDK, detailed practical experience, and the guides on how to use DPDK.
A remarkable look at how the growth, technology, and politics of high-frequency trading have altered global financial markets In today's financial markets, trading floors on which brokers buy and sell shares face-to-face have increasingly been replaced by lightning-fast electronic systems that use algorithms to execute astounding volumes of transactions. Trading at the Speed of Light tells the story of this epic transformation. Donald MacKenzie shows how in the 1990s, in what were then the disreputable margins of the US financial system, a new approach to trading-automated high-frequency trading or HFT-began and then spread throughout the world. HFT has brought new efficiency to global trading, but has also created an unrelenting race for speed, leading to a systematic, subterranean battle among HFT algorithms. In HFT, time is measured in nanoseconds (billionths of a second), and in a nanosecond the fastest possible signal-light in a vacuum-can travel only thirty centimeters, or roughly a foot. That makes HFT exquisitely sensitive to the length and transmission capacity of the cables connecting computer servers to the exchanges' systems and to the location of the microwave towers that carry signals between computer datacenters. Drawing from more than 300 interviews with high-frequency traders, the people who supply them with technological and communication capabilities, exchange staff, regulators, and many others, MacKenzie reveals the extraordinary efforts expended to speed up every aspect of trading. He looks at how in some markets big banks have fought off the challenge from HFT firms, and how exchanges sometimes engineer technical systems to favor certain types of algorithms over others. Focusing on the material, political, and economic characteristics of high-frequency trading, Trading at the Speed of Light offers a unique glimpse into its influence on global finance and where it could lead us in the future.
Inequality in a Context of Climate Crisis after COVID uses a complex realist approach to examine the crisis of three interconnected problems: economic inequality, climate change, and the COVID-19 pandemic. Widely acknowledged as the key driver of political discontent and social instability, economic inequality across high and middle-income countries is profoundly interconnected with climate change. Both of these issues are now set within the particularly acute context of COVID-19 and its aftermath. Confronting the crisis of these inherently interwoven issues is now the major problem for all political and governance systems. This book uses a complex realist frame of reference to understand the character of social-cultural-economic-political-ecological systems. It gives us a vocabulary and modes of thinking to confront these societal challenges and inform future action. Contributing to our thinking about dynamic social systems, this text deploys complex realism to understand our trajectory towards increasing inequality. It puts complexity to work in addressing fundamental social issues in a context of climate crisis after COVID-19. This book will be of interest to students and scholars across the social sciences, in particular to those studying social inequality, climate change, heterodox economics, complex systems, and Master's students in prgrammes with an applied focus. It will be of use to policymakers and practitioners.
This book constitutes the proceedings of the 25th International Conference on Developments in Language Theory, DLT 2021, which was held in Porto, Portugal, during August 16-20, 2021. The conference took place in an hybrid format with both in-person and online participation.The 27 full papers included in these proceedings were carefully reviewed and selected from 48 submissions. The DLT conference series provides a forum for presenting current developments in formal languages and automata. Its scope is very general and includes, among others, the following topics and areas: grammars, acceptors and transducers for words, trees and graphs; algebraic theories of automata; algorithmic, combinatorial, and algebraic properties of words and languages; variable length codes; symbolic dynamics; cellular automata; polyominoes and multidimensional patterns; decidability questions; image manipulation and compression; efficient text algorithms; relationships to cryptography, concurrency, complexity theory, and logic; bio-inspired computing; quantum computing. The book also includes 3 invited talks in full paper length.
Businesses today are faced with a highly competitive market and fast-changing technologies. In order to meet demanding customers' needs, they rely on high quality software. A new field of study, soft computing techniques, is needed to estimate the efforts invested in component-based software. Component-Based Systems: Estimating Efforts Using Soft Computing Techniques is an important resource that uses computer-based models for estimating efforts of software. It provides an overview of component-based software engineering, while addressing uncertainty involved in effort estimation and expert opinions. This book will also instruct the reader how to develop mathematical models. This book is an excellent source of information for students and researchers to learn soft computing models, their applications in software management, and will help software developers, managers, and those in the industry to apply soft computing techniques to estimate efforts.
Based on the author's experience in teaching data science for more than 10 years, Mathematics and Programming for Machine Learning with R: From the Ground Up reveals how machine learning algorithms do their magic and explains how these algorithms can be implemented in code. It is designed to provide readers with an understanding of the reasoning behind machine learning algorithms as well as how to program them. Written for novice programmers, the book progresses step-by-step, providing the coding skills needed to implement machine learning algorithms in R. The book begins with simple implementations and fundamental concepts of logic, sets, and probability before moving to the coverage of powerful deep learning algorithms. The first eight chapters deal with probability-based machine learning algorithms, and the last eight chapters deal with machine learning based on artificial neural networks. The first half of the book does not require mathematical sophistication, although familiarity with probability and statistics would be helpful. The second half assumes the reader is familiar with at least one semester of calculus. The text guides novice R programmers through algorithms and their application and along the way; the reader gains programming confidence in tackling advanced R programming challenges. Highlights of the book include: More than 400 exercises A strong emphasis on improving programming skills and guiding beginners to the implementation of full-fledged algorithms Coverage of fundamental computer and mathematical concepts including logic, sets, and probability In-depth explanations of machine learning algorithms
Cover all the machine learning techniques relevant for forecasting problems, ranging from univariate and multivariate time series to supervised learning, to state-of-the-art deep forecasting models such as LSTMs, recurrent neural networks, Facebook's open-source Prophet model, and Amazon's DeepAR model. Rather than focus on a specific set of models, this book presents an exhaustive overview of all the techniques relevant to practitioners of forecasting. It begins by explaining the different categories of models that are relevant for forecasting in a high-level language. Next, it covers univariate and multivariate time series models followed by advanced machine learning and deep learning models. It concludes with reflections on model selection such as benchmark scores vs. understandability of models vs. compute time, and automated retraining and updating of models. Each of the models presented in this book is covered in depth, with an intuitive simple explanation of the model, a mathematical transcription of the idea, and Python code that applies the model to an example data set. Reading this book will add a competitive edge to your current forecasting skillset. The book is also adapted to those who have recently started working on forecasting tasks and are looking for an exhaustive book that allows them to start with traditional models and gradually move into more and more advanced models. What You Will Learn Carry out forecasting with Python Mathematically and intuitively understand traditional forecasting models and state-of-the-art machine learning techniques Gain the basics of forecasting and machine learning, including evaluation of models, cross-validation, and back testing Select the right model for the right use case Who This Book Is For The advanced nature of the later chapters makes the book relevant for applied experts working in the domain of forecasting, as the models covered have been published only recently. Experts working in the domain will want to update their skills as traditional models are regularly being outperformed by newer models.
See all the things coding can accomplish The demand for people with coding know-how exceeds the number of people who understand the languages that power technology. Coding All-in-One For Dummies gives you an ideal place to start when you're ready to add this valuable asset to your professional repertoire. Whether you need to learn how coding works to build a web page or an application or see how coding drives the data revolution, this resource introduces the languages and processes you'll need to know. Peek inside to quickly learn the basics of simple web languages, then move on to start thinking like a professional coder and using languages that power big applications. Take a look inside for the steps to get started with updating a website, creating the next great mobile app, or exploring the world of data science. Whether you're looking for a complete beginner's guide or a trusted resource for when you encounter problems with coding, there's something for you! * Create code for the web * Get the tools to create a mobile app * Discover languages that power data science * See the future of coding with machine learning tools With the demand for skilled coders at an all-time high, Coding All-in-One For Dummies is here to propel coding newbies to the ranks of professional programmers.
The latest on SQL databases SQL All -In-One For Dummies, 3rd Edition, is a one-stop shop for everything you need to know about SQL and SQL-based relational databases. Everyone from database administrators to application programmers and the people who manage them will find clear, concise explanations of the SQL language and its many powerful applications. With the ballooning amount of data out there, more and more businesses, large and small, are moving from spreadsheets to SQL databases like Access, Microsoft SQL Server, Oracle databases, MySQL, and PostgreSQL. This compendium of information covers designing, developing, and maintaining these databases. Cope with any issue that arises in SQL database creation and management Get current on the newest SQL updates and capabilities Reference information on querying SQL-based databases in the SQL language Understand relational databases and their importance to today's organizations SQL All-In-One For Dummies is a timely update to the popular reference for readers who want detailed information about SQL databases and queries.
Want to create devices that interact with the physical world? This cookbook is perfect for anyone who wants to experiment with the popular Arduino microcontroller and programming environment. You'll find more than 200 tips and techniques for building a variety of objects and prototypes such as IoT solutions, environmental monitors, location and position-aware systems, and products that can respond to touch, sound, heat, and light. Updated for the Arduino 1.8 release, the recipes in this third edition include practical examples and guidance to help you begin, expand, and enhance your projects right away-whether you're an engineer, designer, artist, student, or hobbyist. Get up to speed on the Arduino board and essential software concepts quickly Learn basic techniques for reading digital and analog signals Use Arduino with a variety of popular input devices and sensors Drive visual displays, generate sound, and control several types of motors Connect Arduino to wired and wireless networks Learn techniques for handling time delays and time measurement Apply advanced coding and memory-handling techniques
Technologists who want their ideas heard, understood, and funded are often told to speak the language of business-without really knowing what that is. This book's toolkit provides architects, product managers, technology managers, and executives with a shared language-in the form of repeatable, practical patterns and templates-to produce great technology strategies. Author Eben Hewitt developed 39 patterns over the course of a decade in his work as CTO, CIO, and chief architect for several global tech companies. With these proven tools, you can define, create, elaborate, refine, and communicate your architecture goals, plans, and approach in a way that executives can readily understand, approve, and execute. This book covers: Architecture and strategy: Adopt a strategic architectural mindset to make a meaningful material impact Creating your strategy: Define the components of your technology strategy using proven patterns Communicating the strategy: Convey your technology strategy in a compelling way to a variety of audiences Bringing it all together: Employ patterns individually or in clusters for specific problems; use the complete framework for a comprehensive strategy
Use Flybase and Twilio with Node.js to build real-time solutions and understand how real-time web technologies work. Written by the founder of Flybase, this book offers you practical solutions for communicating effectively with users on the modern web. Flybase.io is a web platform, used to store and retrieve data in real-time, as well as to send and receive real-time events such as triggers for incoming calls, incoming messages, agents logging off, etc. You will learn to send daily SMS messages, build an SMS call center to provide support to users, and build a call center to handle incoming and outgoing phone calls from the browser. You'll also build a group calling system to let groups send messages to each other: handy for managing events. Real-Time Twilio brings to light using the winning combination of Flybase and Twilio with Node.js for anyone with basic web development skills. What You'll Learn Develop web apps with Flybase and Twilio Build a live blogging tool and a group chat app Create a click-to-call call center and a Salesforce-powered call center Send daily SMS reminders Develop a real-time call tracking dashboard Who This Book Is For Those who want to learn to use Twilio and who wants to learn real-time development.
"One of the great things about the book is the way the authors explain concepts very simply using analogies rather than programming examples--this has been very inspiring for a product I'm working on: an audio-only introduction to OOP and software development."
.,."I would expect that readers with a basic understanding of object-oriented programming and design would find this book useful, before approaching design patterns completely. "Design Patterns Explained "complements the existing design patterns texts and may perform a very useful role, fitting between introductory texts such as UML Distilled and the more advanced patterns books."
Leverage the quality and productivity benefits of patterns--without the complexity! "Design Patterns Explained, Second Edition" is the field's simplest, clearest, most practical introduction to patterns. Using dozens of updated Java examples, it shows programmers and architects exactly how to use patterns to design, develop, and deliver software far more effectively.
You'll start with a complete overview of the fundamental principles of patterns, and the role of object-oriented analysis and design in contemporary software development. Then, using easy-to-understand sample code, Alan Shalloway and James Trott illuminate dozens of today's most useful patterns: their underlying concepts, advantages, tradeoffs, implementation techniques, and pitfalls to avoid. Many patterns are accompanied by UML diagrams.
Building on their best-selling First Edition, Shalloway and Trott have thoroughly updated this book to reflect new software design trends, patterns, and implementation techniques. Reflecting extensive readerfeedback, they have deepened and clarified coverage throughout, and reorganized content for even greater ease of understanding. New and revamped coverage in this edition includes Better ways to start "thinking in patterns" How design patterns can facilitate agile development using eXtreme Programming and other methods How to use commonality and variability analysis to design application architectures The key role of testing into a patterns-driven development process How to use factories to instantiate and manage objects more effectively The Object-Pool Pattern--a new pattern not identified by the "Gang of Four" New study/practice questions at the end of every chapter
Gentle yet thorough, this book assumes no patterns experience
whatsoever. It's the ideal "first book" on patterns, and a perfect
complement to Gamma's classic "Design Patterns," If you're a
programmer or architect who wants the clearest possible
understanding of design patterns--or if you've struggled to make
them work for you--read this book.
Want to design your own video games? Let expert Scott Rogers show you how! If you want to design and build cutting-edge video games but aren t sure where to start, then the SECOND EDITION of the acclaimed Level Up! is for you! Written by leading video game expert Scott Rogers, who has designed the hits Pac Man World, Maximo and SpongeBob Squarepants, this updated edition provides clear and well-thought out examples that forgo theoretical gobbledygook with charmingly illustrated concepts and solutions based on years of professional experience. Level Up! 2nd Edition has been NEWLY EXPANDED to teach you how to develop marketable ideas, learn what perils and pitfalls await during a game s pre-production, production and post-production stages, and provide even more creative ideas to serve as fuel for your own projects including: * Developing your game design from the spark of inspiration all the way to production * Learning how to design the most exciting levels, the most precise controls, and the fiercest foes that will keep your players challenged * Creating games for mobile and console systems including detailed rules for touch and motion controls * Monetizing your game from the design up * Writing effective and professional design documents with the help of brand new examples Level Up! 2nd Edition is includes all-new content, an introduction by David God of War Jaffe and even a brand-new chili recipe making it an even more indispensable guide for video game designers both in the field and the classroom. Grab your copy of Level Up! 2nd Edition and let s make a game!
The simplest way to create world-class apps Have a unique app idea but worried you don't quite have the coding skills to build it? Good news: You can stop fretting about someone beating you to market with the same idea and start work right now using SwiftUI. SwiftUI is a gateway app development framework that has become one of the best ways for fledgling developers to get iOS apps off the ground without having to become a coding expert overnight. SwiftUI For Dummies makes that process even faster, providing a friendly introduction to the SwiftUI and Swift programming language and helping you feel right at home creating and building with playgrounds. The book also covers the frameworks and APIs that make it so easy to create smooth, intuitive interfaces--just dive right in and have fun! Combine projects into workspaces Employ Xcode editing tools Use constants and variables Test your code on iOS Simulator Time is of the essence, and with SwiftUI For Dummies, it's also on your side. Get going with this friendly guide today, and you'll be celebrating the successful launch of your app way before you thought possible!
MATLAB: A Practical Introduction to Programming and Problem Solving, winner of TAA's 2017 Textbook Excellence Award ("Texty"), guides the reader through both programming and built-in functions to easily exploit MATLAB's extensive capabilities for tackling engineering and scientific problems. Assuming no knowledge of programming, this book starts with programming concepts, such as variables, assignments, and selection statements, moves on to loops, and then solves problems using both the programming concept and the power of MATLAB. The fifth edition has been updated to reflect the functionality of the current version of MATLAB (R2018a), including the addition of local functions in scripts, the new string type, coverage of recently introduced functions to import data from web sites, and updates to the Live Editor and App Designer.
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