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Practical Big Data Analytics: Hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R
by Giancarlo Zaccone Serguei Boldyrev Nataraj Dasgupta Patrick HannahGet command of your organizational Big Data using the power of data science and analytics Key Features A perfect companion to boost your Big Data storing, processing, analyzing skills to help you take informed business decisions Work with the best tools such as Apache Hadoop, R, Python, and Spark for NoSQL platforms to perform massive online analyses Get expert tips on statistical inference, machine learning, mathematical modeling, and data visualization for Big Data Book Description Big Data analytics relates to the strategies used by organizations to collect, organize and analyze large amounts of data to uncover valuable business insights that otherwise cannot be analyzed through traditional systems. Crafting an enterprise-scale cost-efficient Big Data and machine learning solution to uncover insights and value from your organization's data is a challenge. Today, with hundreds of new Big Data systems, machine learning packages and BI Tools, selecting the right combination of technologies is an even greater challenge. This book will help you do that. With the help of this guide, you will be able to bridge the gap between the theoretical world of technology with the practical ground reality of building corporate Big Data and data science platforms. You will get hands-on exposure to Hadoop and Spark, build machine learning dashboards using R and R Shiny, create web-based apps using NoSQL databases such as MongoDB and even learn how to write R code for neural networks. By the end of the book, you will have a very clear and concrete understanding of what Big Data analytics means, how it drives revenues for organizations, and how you can develop your own Big Data analytics solution using different tools and methods articulated in this book. What you will learn - Get a 360-degree view into the world of Big Data, data science and machine learning - Broad range of technical and business Big Data analytics topics that caters to the interests of the technical experts as well as corporate IT executives - Get hands-on experience with industry-standard Big Data and machine learning tools such as Hadoop, Spark, MongoDB, KDB+ and R - Create production-grade machine learning BI Dashboards using R and R Shiny with step-by-step instructions - Learn how to combine open-source Big Data, machine learning and BI Tools to create low-cost business analytics applications - Understand corporate strategies for successful Big Data and data science projects - Go beyond general-purpose analytics to develop cutting-edge Big Data applications using emerging technologies Who this book is for The book is intended for existing and aspiring Big Data professionals who wish to become the go-to person in their organization when it comes to Big Data architecture, analytics, and governance. While no prior knowledge of Big Data or related technologies is assumed, it will be helpful to have some programming experience.
Practical Binary Analysis: Build Your Own Linux Tools for Binary Instrumentation, Analysis, and Disassembly
by Dennis AndriesseStop manually analyzing binary! Practical Binary Analysis is the first book of its kind to present advanced binary analysis topics, such as binary instrumentation, dynamic taint analysis, and symbolic execution, in an accessible way.As malware increasingly obfuscates itself and applies anti-analysis techniques to thwart our analysis, we need more sophisticated methods that allow us to raise that dark curtain designed to keep us out--binary analysis can help. The goal of all binary analysis is to determine (and possibly modify) the true properties of binary programs to understand what they really do, rather than what we think they should do. While reverse engineering and disassembly are critical first steps in many forms of binary analysis, there is much more to be learned.This hands-on guide teaches you how to tackle the fascinating but challenging topics of binary analysis and instrumentation and helps you become proficient in an area typically only mastered by a small group of expert hackers. It will take you from basic concepts to state-of-the-art methods as you dig into topics like code injection, disassembly, dynamic taint analysis, and binary instrumentation. Written for security engineers, hackers, and those with a basic working knowledge of C/C++ and x86-64, Practical Binary Analysis will teach you in-depth how binary programs work and help you acquire the tools and techniques needed to gain more control and insight into binary programs.Once you've completed an introduction to basic binary formats, you'll learn how to analyze binaries using techniques like the GNU/Linux binary analysis toolchain, disassembly, and code injection. You'll then go on to implement profiling tools with Pin and learn how to build your own dynamic taint analysis tools with libdft and symbolic execution tools using Triton. You'll learn how to:- Parse ELF and PE binaries and build a binary loader with libbfd- Use data-flow analysis techniques like program tracing, slicing, and reaching definitions analysis to reason about runtime flow of your programs- Modify ELF binaries with techniques like parasitic code injection and hex editing- Build custom disassembly tools with Capstone- Use binary instrumentation to circumvent anti-analysis tricks commonly used by malware- Apply taint analysis to detect control hijacking and data leak attacks- Use symbolic execution to build automatic exploitation toolsWith exercises at the end of each chapter to help solidify your skills, you'll go from understanding basic assembly to performing some of the most sophisticated binary analysis and instrumentation. Practical Binary Analysis gives you what you need to work effectively with binary programs and transform your knowledge from basic understanding to expert-level proficiency.
Practical Blockchains and Cryptocurrencies: Speed Up Your Application Development Process and Develop Distributed Applications with Confidence
by Karan Singh GarewalCreate 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 cryptocurrenciesImplement a cryptocurrency from scratch in PythonMaster the design of distributed blockchain applications Who This Book Is For Anyone interested in creating cryptocurrency and blockchain applications
Practical Bootstrap: Learn to Develop Responsively with One of the Most Popular CSS Frameworks
by Panos MatsinopoulosLearn to use one of the most popular CSS frameworks and build mobile-friendly web pages. Used for numerous websites and applications, Bootstrap is a key tool for modern web development. You will explore the grid system and then be introduced to the power of Bootstrap in practical projects. You’ll make navigation bars, use themes and styling, create and manipulate cover pages, admin dashboards, forms, and modal dialogs. You’ll learn to use Scrollspy and create tooltips and popovers. Today's web is responsive and Bootstrap continues to be at the forefront with web professionals. Learn by doing with Practical Bootstrap today. What You Will LearnReview how the grid system applies to BootstrapCreate stunning cover pages that encompass a large background imageBuild an admin dashboard page that changes its layout according to a device’s display widthWork with the modal HTML markup and its main partsCustomize modal behavior by setting various options using JavaScriptIntegrate Bootstrap JavaScript libraries with your own HTML pageAdd scroll spying functionality to your long-content pagesAdjust the offset and activation point of the scroll sections Who This Book Is For Anyone who wants to learn how to use Bootstrap. You should have knowledge of HTML, CSS and basic JavaScript.
Practical Bot Development: Designing And Building Bots With Node. Js And Microsoft Bot Builder Framework
by Szymon RozgaExplore the concept of bots and discover the motivation behind working with these new apps with messaging platforms. This book is an accessible resource teaching the basic concepts behind bot design and implementation. Each chapter builds on previous topics and, where appropriate, real working code is shown that implements the concepts. By just picking up a code editor, you can start creating smart, engaging, and useful bot experiences today.Practical Bot Development will teach you how to create your own bots on platforms like Facebook Messenger and Slack, incorporate extension APIs, and apply AI and ML algorithms in the cloud. By the end of this book, you'll be equipped with the information to reach thousands of new users with the bots you create!The book is a great resource for those looking to harness the benefits of building their own bots and leveraging the platform feasibility of them.What You’ll LearnUnderstand the general architecture of a botDistinguish between a great bot experience versus a bad bot experience.Explore the ideas behind natural language processing and apply them to bot developmentImplement real Messenger, Slack, and custom channel bots using Node.js and the Microsoft Bot Builder frameworkDeploy bots to Facebook Messenger and Slack Who This Book Is ForEngineers, hobbyists, and the design oriented community looking looking for an introduction to the technologies and concepts involved in building bots. The experience level could be from beginner to expert, although some familiarity with Node.js and APIs will be assumed.
Practical Business Analytics Using R and Python: Solve Business Problems Using a Data-driven Approach
by Umesha Nayak Umesh R. HodeghattaThis book illustrates how data can be useful in solving business problems. It explores various analytics techniques for using data to discover hidden patterns and relationships, predict future outcomes, optimize efficiency and improve the performance of organizations. You’ll learn how to analyze data by applying concepts of statistics, probability theory, and linear algebra. In this new edition, both R and Python are used to demonstrate these analyses. Practical Business Analytics Using R and Python also features new chapters covering databases, SQL, Neural networks, Text Analytics, and Natural Language Processing.Part one begins with an introduction to analytics, the foundations required to perform data analytics, and explains different analytics terms and concepts such as databases and SQL, basic statistics, probability theory, and data exploration. Part two introduces predictive models using statistical machine learning and discusses concepts like regression, classification, and neural networks. Part three covers two of the most popular unsupervised learning techniques, clustering and association mining, as well as text mining and natural language processing (NLP). The book concludes with an overview of big data analytics, R and Python essentials for analytics including libraries such as pandas and NumPy.Upon completing this book, you will understand how to improve business outcomes by leveraging R and Python for data analytics.What You Will LearnMaster the mathematical foundations required for business analyticsUnderstand various analytics models and data mining techniques such as regression, supervised machine learning algorithms for modeling, unsupervised modeling techniques, and how to choose the correct algorithm for analysis in any given taskUse R and Python to develop descriptive models, predictive models, and optimize modelsInterpret and recommend actions based on analytical model outcomes Who This Book Is For Software professionals and developers, managers, and executives who want to understand and learn the fundamentals of analytics using R and Python.
Practical Business Analytics Using SAS
by Venkat Reddy Konasani Shailendra KadrePractical Business Analytics Using SAS: A Hands-on Guide shows SAS users and businesspeople how to analyze data effectively in real-life business scenarios. The book begins with an introduction to analytics, analytical tools, and SAS programming. The authors--both SAS, statistics, analytics, and big data experts--first show how SAS is used in business, and then how to get started programming in SAS by importing data and learning how to manipulate it. Besides illustrating SAS basic functions, you will see how each function can be used to get the information you need to improve business performance. Each chapter offers hands-on exercises drawn from real business situations. The book then provides an overview of statistics, as well as instruction on exploring data, preparing it for analysis, and testing hypotheses. You will learn how to use SAS to perform analytics and model using both basic and advanced techniques like multiple regression, logistic regression, and time series analysis, among other topics. The book concludes with a chapter on analyzing big data. Illustrations from banking and other industries make the principles and methods come to life. Readers will find just enough theory to understand the practical examples and case studies, which cover all industries. Written for a corporate IT and programming audience that wants to upgrade skills or enter the analytics field, this book includes: More than 200 examples and exercises, including code and datasets for practice. Relevant examples for all industries. Case studies that show how to use SAS analytics to identify opportunities, solve complicated problems, and chart a course. Practical Business Analytics Using SAS: A Hands-on Guide gives you the tools you need to gain insight into the data at your fingertips, predict business conditions for better planning, and make excellent decisions. Whether you are in retail, finance, healthcare, manufacturing, government, or any other industry, this book will help your organization increase revenue, drive down costs, improve marketing, and satisfy customers better than ever before.
Practical Business Intelligence
by Ahmed SherifLearn to get the most out of your business data to optimize your business About This Book • This book will enable and empower you to break free of the shackles of spreadsheets • Learn to make informed decisions using the data at hand with this highly practical, comprehensive guide • This book includes real-world use cases that teach you how analytics can be put to work to optimize your business • Using a fictional transactional dataset in raw form, you'll work your way up to ultimately creating a fully-functional warehouse and a fleshed-out BI platform Who This Book Is For This book is for anyone who has wrangled with data to try to perform automated data analysis through visualizations for themselves or their customers. This highly-customized guide is for developers who know a bit about analytics but don't know how to make use of it in the field of business intelligence. What You Will Learn • Create a BI environment that enables self-service reporting • Understand SQL and the aggregation of data • Develop a data model suitable for analytical reporting • Connect a data warehouse to the analytic reporting tools • Understand the specific benefits behind visualizations with D3.js, R, Tableau, QlikView, and Python • Get to know the best practices to develop various reports and applications when using BI tools • Explore the field of data analysis with all the data we will use for reporting In Detail Business Intelligence (BI) is at the crux of revolutionizing enterprise. Everyone wants to minimize losses and maximize profits. Thanks to Big Data and improved methodologies to analyze data, Data Analysts and Data Scientists are increasingly using data to make informed decisions. Just knowing how to analyze data is not enough, you need to start thinking how to use data as a business asset and then perform the right analysis to build an insightful BI solution. Efficient BI strives to achieve the automation of data for ease of reporting and analysis. Through this book, you will develop the ability to think along the right lines and use more than one tool to perform analysis depending on the needs of your business. We start off by preparing you for data analytics. We then move on to teach you a range of techniques to fetch important information from various databases, which can be used to optimize your business. The book aims to provide a full end-to-end solution for an environment setup that can help you make informed business decisions and deliver efficient and automated BI solutions to any company. It is a complete guide for implementing Business intelligence with the help of the most powerful tools like D3.js, R, Tableau, Qlikview and Python that are available on the market. Style and approach Packed with real-world examples, this pragmatic guide helps you polish your data and make informed decisions for your business. We cover both business and data analysis perspectives, blending theory and practical hands-on work so that you perceive data as a business asset.
Practical C
by Giulio ZambonLearn practical C techniques, including often-needed algorithms within reusable functions. In this book, you'll have the following code and advice at your fingertips: layout and pre-processors; control structures, iterations, and selections; pointers and structures; databases; reusability; lists, arrays, FIFO and stacks; searching and sorting; recursion; binary trees; integration; string utilities in/outside of C; web serving using Mongoose; game application code to build a MathSearch puzzle; and embedded software.Besides providing you with modules that you can immediately put to use, Practical C also teaches you how to leverage the C language in a way that beginner books cannot achieve.What You Will Learn:Avoid pitfalls that can cause intractable problemsHandle lists and arraysPerform searches and sortsBinary treesTake advantage of recursionHandle exceptionsAccess databasesCalculate integrals using numerical computation with practical applicationsDeal with strings in a convenient, error-free wayBuild a MathSearch game application, similar to WordSearch puzzle gamesDeal with issues specific to embedded applicationsWho This Book Is ForProgrammers who have a general knowledge of C.
Practical C Programming, 3rd Edition
by Steve OuallinePractical C Programming teaches you not only the mechanics of programming, but also how to create programs that are easy to read, maintain, and debug. This third edition introduces popular Integrated Development Environments on Windows systems, as well as UNIX programming utilities, and features a large statistics-generating program to pull together the concepts and features in the language.
Practical C Programming: Solutions for modern C developers to create efficient and well-structured programs
by B. M. HarwaniA comprehensive guide with practical instructions for learning data structures, low-level programming, high-performance computing, networking and IoT to help you understand the latest standards in C programming such as C11 and C18 Key Features Tackle various challenges in C programming by making the most of its latest features Understand the workings of arrays, strings, functions, pointers, advanced data structures, and algorithms Become well-versed with process synchronization during multitasking and server-client process communication Book Description Used in everything from microcontrollers to operating systems, C is a popular programming language among developers because of its flexibility and versatility. This book helps you get hands-on with various tasks, covering the fundamental as well as complex C programming concepts that are essential for making real-life applications. You'll start with recipes for arrays, strings, user-defined functions, and pre-processing directives. Once you're familiar with the basic features, you'll gradually move on to learning pointers, file handling, concurrency, networking, and inter-process communication (IPC). The book then illustrates how to carry out searching and arrange data using different sorting techniques, before demonstrating the implementation of data structures such as stacks and queues. Later, you'll learn interesting programming features such as using graphics for drawing and animation, and the application of general-purpose utilities. Finally, the book will take you through advanced concepts such as low-level programming, embedded software, IoT, and security in coding, as well as techniques for improving code performance. By the end of this book, you'll have a clear understanding of C programming, and have the skills you need to develop robust apps. What you will learn Discover how to use arrays, functions, and strings to make large applications Perform preprocessing and conditional compilation for efficient programming Understand how to use pointers and memory optimally Use general-purpose utilities and improve code performance Implement multitasking using threads and process synchronization Use low-level programming and the inline assembly language Understand how to use graphics for animation Get to grips with applying security while developing C programs Who this book is for This intermediate-level book is for developers who want to become better C programmers by learning its modern features and programming practices. Familiarity with C programming is assumed to get the most out of this book.
Practical C Programming: Why Does 2+2 = 5986?
by Steve OuallineThere are lots of introductory C books, but this is the first one that has the no-nonsense, practical approach that has made Nutshell Handbooks® famous.C programming is more than just getting the syntax right. Style and debugging also play a tremendous part in creating programs that run well and are easy to maintain. This book teaches you not only the mechanics of programming, but also describes how to create programs that are easy to read, debug, and update.Practical rules are stressed. For example, there are fifteen precedence rules in C (&& comes before || comes before ?:). The practical programmer reduces these to two:Multiplication and division come before addition and subtraction.Contrary to popular belief, most programmers do not spend most of their time creating code. Most of their time is spent modifying someone else's code. This books shows you how to avoid the all-too-common obfuscated uses of C (and also to recognize these uses when you encounter them in existing programs) and thereby to leave code that the programmer responsible for maintenance does not have to struggle with. Electronic Archaeology, the art of going through someone else's code, is described.This third edition introduces popular Integrated Development Environments on Windows systems, as well as UNIX programming utilities, and features a large statistics-generating program to pull together the concepts and features in the language.
Practical C++ Design
by Adam B. SingerGo from competent C++ developer to skilled designer or architect using this book as your C++ design master class. This title will guide you through the design and implementation of a fun, engaging case study. Starting with a quick exploration of the requirements for building the application, you'll delve into selecting an appropriate architecture, eventually designing and implementing all of the necessary modules to meet the project's requirements. By the conclusion of Practical C++ Design, you'll have constructed a fully functioning calculator that builds and executes on multiple platforms. Access to the complete source code will help speed your learning. Utilize the Model-View-Controller pattern to determine the optimal architecture for the calculator; the observer pattern to design an event system; the singleton pattern as you design the calculator's central data repository, a reusable stack; the command pattern to design a command system s upporting unlimited undo/redo; and the abstract factory pattern for a cross-platform plugin infrastructure to make the calculator extensible. What You Will Learn: Learn to read a specification document and translate it into a practical C++ design Understand trade-offs in selecting between alternative design scenarios Gain practical experience in applying design patterns to realistic development scenarios Learn how to effectively use language elements of modern C++ to create a lasting design Develop a complete C++ program from a blank canvas through to a fully functioning, cross platform application Learn to read, modify, and extend an existing, high quality code Learn the fundamentals of API design, including class, module, and plugin interfaces Who This Book Is For: Practical C++ Design is a book designed for the experie nced C++ developer ready to take the next step to becoming a skilled C++ designer.
Practical C++ Design: From Programming to Architecture
by Adam B. SingerGo from competent C++ developer to skilled designer or architect using this book as your personal C++ design master class. Updated for the C++20 standard, this title will guide you through the design and implementation of an engaging case study that forms the backdrop for learning the art of applying design patterns and modern C++ techniques to create a high quality, robust application. Starting with a quick exploration of the requirements for building the application, you'll delve into selecting an appropriate architecture, eventually designing and implementing all of the necessary modules to meet the project’s requirements. By the conclusion of Practical C++ Design, you'll have constructed a fully functioning calculator capable of building and executing on any platform that supports both Qt and C++20. Access to the complete source code will help speed your learning. Utilize the Model-View-Controller pattern as the basis for the architecture of the calculator; the observer pattern to design an event system; the singleton pattern as you design the calculator’s central data repository, a reusable stack; the command pattern to design a command system supporting unlimited undo/redo; the abstract factory pattern to build a cross-platform plugin infrastructure for extensibility; coroutines to implement a command line interface with a lazy tokenizer; and more. After reading and using this book, you’ll have begun the transition from C++ programmer to architect. What You Will Learn Read a specification document and translate it into a practical C++ design using some of the latest language features from C++20Understand trade-offs in selecting between alternative design scenariosGain practical experience in applying design patterns to realistic development scenariosLearn how to effectively use language elements of modern C++ to create a lasting designDevelop a complete C++ program from a blank canvas through to a fully functioning, cross platform applicationRead, modify, and extend existing, high quality codeLearn the fundamentals of API design, including class, module, and plugin interfaces Who This Book Is For The experienced C++ developer ready to take the next step to becoming a skilled C++ designer.
Practical C++ Financial Programming
by Carlos OliveiraPractical C++ Financial Programming is a hands-on book for programmers wanting to apply C++ to programming problems in the financial industry. The book explains those aspects of the language that are more frequently used in writing financial software, including the STL, templates, and various numerical libraries. The book also describes many of the important problems in financial engineering that are part of the day-to-day work of financial programmers in large investment banks and hedge funds. The author has extensive experience in the New York City financial industry that is now distilled into this handy guide. Focus is on providing working solutions for common programming problems. Examples are plentiful and provide value in the form of ready-to-use solutions that you can immediately apply in your day-to-day work. You'll learn to design efficient, numerical classes for use in finance, as well as to use those classes provided by Boost and other libraries. You'll see examples of matrix manipulations, curve fitting, histogram generation, numerical integration, and differential equation analysis, and you'll learn how all these techniques can be applied to some of the most common areas of financial software development. These areas include performance price forecasting, optimizing investment portfolios, and more. The book style is quick and to-the-point, delivering a refreshing view of what one needs to master in order to thrive as a C++ programmer in the financial industry. Covers aspects of C++ especially relevant to financial programming. Provides working solutions to commonly-encountered problems in finance. Delivers in a refreshing and easy style with a strong focus on the practical. What you'll learn Understand the fundamental problem types in the financial market. Design algorithms to solve financial programming problems. Extend C++ through Python extensions and LUA modules. Employ third-party numeric libraries such as those from Boost. Properly engage key C++ features such as templates and exception handling. Benefit from new features in C++14, such as auto variables and closures. Who this book is for Practical C++ Financial Programming is for professionals or advanced students who have interest in learning C++ financial programming, especially in preparation for a professional career. Readers should have a working-knowledge of programming in C, C++, or some other C-like language. The book is also useful to current practitioners at financial institutions as a ready-reference to common development problems and techniques. Table of Contents The Fixed-Income Market The Equities Market C++ Programming Techniques in Finance Common Libraries for Financial Code Designing Numerical Classes Plotting Financial Data Linear Algebra Interpolation Calculating Roots of Equations Numerical Integration Solving Partial Differential Equations Algorithm Optimization Portfolio Optimization Monte Carlo Methods for Equity markets Extending Financial Libraries C++ with R and Octave Multithreading Appendix A: C++14 Features
Practical C++ Programming: Programming Style Guidelines
by Steve OuallineC++ is a powerful, highly flexible, and adaptable programming language that allows software engineers to organize and process information quickly and effectively. But this high-level language is relatively difficult to master, even if you already know the C programming language.The 2nd edition of Practical C++ Programming is a complete introduction to the C++ language for programmers who are learning C++. Reflecting the latest changes to the C++ standard, this 2nd edition takes a useful down-to-earth approach, placing a strong emphasis on how to design clean, elegant code.In short, to-the-point chapters, all aspects of programming are covered including style, software engineering, programming design, object-oriented design, and debugging. It also covers common mistakes and how to find (and avoid) them. End of chapter exercises help you ensure you've mastered the material.Practical C++ Programming thoroughly covers:C++ SyntaxCoding standards and styleCreation and use of object classesTemplatesDebugging and optimizationUse of the C++ preprocessorFile input/outputSteve Oualline's clear, easy-going writing style and hands-on approach to learning make Practical C++ Programming a nearly painless way to master this complex but powerful programming language.
Practical C++ STL Programming: Real-World Applications with C++20 and C++23
by Daniel KusswurmLearn how to use the classes, algorithms, and other programming constructs of C++ STL. This comprehensive and practical guide covers a broad range of STL programming topics and highlights numerous programming constructs from the C++20 and C++23 standards. Mastering use of STL can be daunting for both new and experienced C++ programmers. It doesn’t help that the ISO C++ specification documents are meticulous and verbose. This book is organized to help you quickly understand C++ STL programming, focusing on the real-world aspects of its usage. Rather than spend time providing extensive explanations of the inner workings of STL, author Daniel Kusswurm judiciously explores these intricacies only when they advance the reader’s understanding of a particular topic. This book is accompanied by over 100 source code examples, designed to accelerate learning by emphasizing practical use cases. It coincides with the C++20 and C++23 standards and works with any OS platform that supports these standards including Windows (Visual C++), Linux (GNU C++) and macOS (clang). After reading Practical C++ STL Programming, you’ll be able to exploit the computational capabilities of STL to implement a wide variety of software algorithms and solve unique programming challenges. What You Will Learn Explore STL capabilities, including how to generate formatted output, utilize sequence containers, apply utility classes, exploit smart pointers, manipulate associative containers, and exercise container adaptors. Apply algorithms and iterators to perform a wide variety of container operations including sorts, searches, insertions, removals, and erasures. Utilize ranges and range iterators, adaptors, views, compositions, projections, and factories. Perform file and directory operations using STL’s file system classes. Execute chronological calculations and formatting using the time classes. Employ STL’s random number generation and distribution classes. Implement numerical processing algorithms using STL’s std::valarray and std:complex classes. Accelerate program performance using STL’s concurrency classes and algorithm execution policies. Who This Book Is For Software developers and programmers who understand the basic syntax and semantics of C++ and want/need to learn how to use STL’s classes and algorithms, or programmers who have experience using STL as specified by the C++11/14/17 standards and are interested in learning how to use the new STL classes and algorithms of C++20/23. Computer science/engineering students or hobbyists who want to learn about or better understand the capabilities of STL.
Practical C++20 Financial Programming: Problem Solving for Quantitative Finance, Financial Engineering, Business, and Economics
by Carlos OliveiraApply C++ to programming problems in the financial industry using this hands-on book, updated for C++20. It explains those aspects of the language that are more frequently used in writing financial software, including the Standard Template Library (STL), templates, and various numerical libraries. Practical C++20 Financial Programming also describes many of the important problems in financial engineering that are part of the day-to-day work of financial programmers in large investment banks and hedge funds. The author has extensive experience in the New York City financial industry that is now distilled into this handy guide. Focus is on providing working solutions for common programming problems. Examples are plentiful and provide value in the form of ready-to-use solutions that you can immediately apply in your day-to-day work. You’ll see examples of matrix manipulations, curve fitting, histogram generation, numerical integration, and differential equation analysis, and you’ll learn how all these techniques can be applied to some of the most common areas of financial software development. These areas include performance price forecasting, optimizing investment portfolios, and more. The book style is quick and to-the-point, delivering a refreshing view of what one needs to master in order to thrive as a C++ programmer in the financial industry. What You Will Learn Cover aspects of C++ especially relevant to financial programming Write working solutions to commonly encountered problems in finance Design efficient, numerical classes for use in finance, as well as to use those classes provided by Boost and other libraries Who This Book Is For Those who are new to programming for financial applications using C++, but should have some previous experience with C++.
Practical Channel-Aware Resource Allocation: With MATLAB and Python Code
by Ahmed Abdelhadi Michael GhorbanzadehThis book dives into radio resource allocation optimizations, a research area for wireless communications, in a pragmatic way and not only includes wireless channel conditions but also incorporates the channel in a simple and practical fashion via well-understood equations. Most importantly, the book presents a practical perspective by modeling channel conditions using terrain-aware propagation which narrows the gap between purely theoretical work and that of industry methods. The provided propagation modeling reflects industry grade scenarios for radio environment map and hence makes the channel based resource allocation presented in the book a field-grade view. Also, the book provides large scale simulations that account for realistic locations with terrain conditions that can produce realistic scenarios applicable in the field. Most portions of the book are accompanied with MATLAB code and occasionally MATLAB/Python/C code. The book is intended for graduate students, academics, researchers of resource allocation in mathematics, computer science, and electrical engineering departments as well as working professionals/engineers in wireless industry.
Practical Cloud Native Security with Falco: Risk and Threat Detection for Containers, Kubernetes, and Cloud
by Loris Degioanni Leonardo GrassoAs more and more organizations migrate their applications to the cloud, cloud native computing has become the dominant way to approach software development and execution. Protecting modern, cloud native applications from threats requires the ability to defend them at runtime, when they're most vulnerable to attacks. This practical guide introduces you to Falco, the open source standard for continuous risk and threat detection across Kubernetes, containers, and the cloud. Falco creator Loris Degioanni and core maintainer Leonardo Grasso bring you up to speed on threat detection and show you how to get Falco up and running, plus advanced topics such as deploying Falco in production and writing your own security rules. You'll learn how to: Leverage runtime security in cloud native environmentsDetect configuration changes and unexpected behavior in the cloudProtect containers, Kubernetes, and cloud applications using FalcoRun, deploy, and customize FalcoDeploy, configure, and maintain Falco in a production environmentImprove your compliance
Practical Cloud Security: A Cross-Industry View
by Kevin L. Jackson Melvin B. Greer, Jr.Melvin Greer and Kevin Jackson have assembled a comprehensive guide to industry-specific cybersecurity threats and provide a detailed risk management framework required to mitigate business risk associated with the adoption of cloud computing. This book can serve multiple purposes, not the least of which is documenting the breadth and severity of the challenges that today’s enterprises face, and the breadth of programmatic elements required to address these challenges. This has become a boardroom issue: Executives must not only exploit the potential of information technologies, but manage their potential risks. Key Features • Provides a cross-industry view of contemporary cloud computing security challenges, solutions, and lessons learned • Offers clear guidance for the development and execution of industry-specific cloud computing business and cybersecurity strategies • Provides insight into the interaction and cross-dependencies between industry business models and industry-specific cloud computing security requirements
Practical Cloud Security: A Guide for Secure Design and Deployment
by Chris DotsonWith the fast, competitive evolution of new cloud services, particularly those related to security, cloud deployment is now definitively as secure as on-premises servers, and probably even more secure. This practical book surveys current security challenges and shows security professionals, IT architects, and developers how to meet them while deploying systems to popular cloud services.You’ll find up-to-date, cloud-specific security guidance for popular cloud platforms in the areas of cloud and data asset management, identity and access management, vulnerability management, network security, and incident response. Author Chris Dotson offers practical cloud security best practices for multi-vendor cloud environments whether you’re just starting to design your cloud environment or have legacy projects to secure.
Practical Cloud Security: A Guide for Secure Design and Deployment
by Chris DotsonWith rapidly changing architecture and API-driven automation, cloud platforms come with unique security challenges and opportunities. In this updated second edition, you'll examine security best practices for multivendor cloud environments, whether your company plans to move legacy on-premises projects to the cloud or build a new infrastructure from the ground up. Developers, IT architects, and security professionals will learn cloud-specific techniques for securing popular cloud platforms such as Amazon Web Services, Microsoft Azure, and IBM Cloud. IBM Distinguished Engineer Chris Dotson shows you how to establish data asset management, identity and access management (IAM), vulnerability management, network security, and incident response in your cloud environment. Learn the latest threats and challenges in the cloud security spaceManage cloud providers that store or process data or deliver administrative controlLearn how standard principles and concepts—such as least privilege and defense in depth—apply in the cloudUnderstand the critical role played by IAM in the cloudUse best tactics for detecting, responding, and recovering from the most common security incidentsManage various types of vulnerabilities, especially those common in multicloud or hybrid cloud architecturesExamine privileged access management in cloud environments
Practical Cloud-Native Java Development with MicroProfile: Develop and deploy scalable, resilient, and reactive cloud-native applications using MicroProfile 4.1
by David Chan Eric Herness Emily Jiang Andrew McCright John Alcorn Alasdair NottinghamWritten by leading MicroProfile experts, this book provides you with best practices for building enterprise-grade cloud-native applications using MicroProfile 4.1 and running them on Open Liberty with Docker, Kubernetes, and IstioKey FeaturesApply your knowledge of MicroProfile APIs to develop cloud-native applicationsUse MicroProfile Health to provide the startup, liveness, and readiness status of your enterprise applicationBuild an end-to-end stock trader project and containerize it to deploy to the cloud with Istio interactionBook DescriptionIn this cloud-native era, most applications are deployed in a cloud environment that is public, private, or a combination of both. To ensure that your application performs well in the cloud, you need to build an application that is cloud native. MicroProfile is one of the most popular frameworks for building cloud-native applications, and fits well with Kubernetes. As an open standard technology, MicroProfile helps improve application portability across all of MicroProfile's implementations.Practical Cloud-Native Java Development with MicroProfile is a comprehensive guide that helps you explore the advanced features and use cases of a variety of Jakarta and MicroProfile specifications. You'll start by learning how to develop a real-world stock trader application, and then move on to enhancing the application and adding day-2 operation considerations. You'll gradually advance to packaging and deploying the application. The book demonstrates the complete process of development through to deployment and concludes by showing you how to monitor the application's performance in the cloud.By the end of this book, you will master MicroProfile's latest features and be able to build fast and efficient cloud-native applications.What you will learnUnderstand best practices for applying the 12-Factor methodology while building cloud-native applicationsCreate client-server architecture using MicroProfile Rest Client and JAX-RSConfigure your cloud-native application using MicroProfile ConfigSecure your cloud-native application with MicroProfile JWTBecome well-versed with running your cloud-native applications in Open LibertyGrasp MicroProfile Open Tracing and learn how to use Jaeger to view trace spansDeploy Docker containers to Kubernetes and understand how to use ConfigMap and Secrets from KubernetesWho this book is forThis book is for Java application developers and architects looking to build efficient applications using an open standard framework that performs well in the cloud. DevOps engineers who want to understand how cloud-native applications work will also find this book useful. A basic understanding of Java, Docker, Kubernetes, and cloud is needed to get the most out of this book.
Practical CockroachDB: Building Fault-Tolerant Distributed SQL Databases
by Rob ReidGet a practical introduction to CockroachDB. This book starts with installation and foundational concepts and takes you through to creating clusters that are ready for production environments. You will learn how to create, optimize, and operate CockroarchDB clusters in single and multi-region environments. You will encounter anti-patterns to avoid, as well as testing techniques for integration and load testing. The book explains why CockroachDB exists, goes over its major benefits, and quickly transitions into installing and configuring CockroachDB. Just as quickly, you’ll be creating databases, getting data into those databases, and querying that data from your applications. You’ll progress to data privacy laws such as GDPR and CCPA, and learn how CockroachDB’s global distribution features can help you comply with ever-shifting data sovereignty regulations. From there, you’ll move into deployment topologies, guidance on integration testing and load testing, best practices, and a readiness checklist for production deployments. What You Will LearnDeploy and interact with CockroachDBDesign and optimize databases and tablesChoose the correct data types for modeling your dataProtect data with database and table encryptionAchieve compliance with international data privacy regulationsScale your databases in a way that enhances their performanceMonitor changes to the data and health of your databasesWho This Book Is ForDevelopers and database administrators who want to provide a secure, reliable, and effortlessly distributed home for their data; those who wish to use a modern tool to tackle the kinds of scaling challenges that have previously required dedicated teams of people to solve; anyone who wants to leverage their database to solve non-trivial, real-world challenges while protecting their data and users