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Build real-world time series forecasting systems which scale to millions of time series by applying modern machine learning and deep learning conceptsKey FeaturesExplore industry-tested machine learning techniques used to forecast millions of time seriesGet started with the revolutionary paradigm of global forecasting modelsGet to grips with new concepts by applying them to real-world datasets of energy forecastingBook DescriptionWe live in a serendipitous era where the explosion in the quantum of data collected and a renewed interest in data-driven techniques such as machine learning (ML), has changed the landscape of analytics, and with it, time series forecasting. This book, filled with industry-tested tips and tricks, takes you beyond commonly used classical statistical methods such as ARIMA and introduces to you the latest techniques from the world of ML. This is a comprehensive guide to analyzing, visualizing, and creating state-of-the-art forecasting systems, complete with common topics such as ML and deep learning (DL) as well as rarely touched-upon topics such as global forecasting models, cross-validation strategies, and forecast metrics. You'll begin by exploring the basics of data handling, data visualization, and classical statistical methods before moving on to ML and DL models for time series forecasting. This book takes you on a hands-on journey in which you'll develop state-of-the-art ML (linear regression to gradient-boosted trees) and DL (feed-forward neural networks, LSTMs, and transformers) models on a real-world dataset along with exploring practical topics such as interpretability. By the end of this book, you'll be able to build world-class time series forecasting systems and tackle problems in the real world.What you will learnFind out how to manipulate and visualize time series data like a proSet strong baselines with popular models such as ARIMADiscover how time series forecasting can be cast as regressionEngineer features for machine learning models for forecastingExplore the exciting world of ensembling and stacking modelsGet to grips with the global forecasting paradigmUnderstand and apply state-of-the-art DL models such as N-BEATS and AutoformerExplore multi-step forecasting and cross-validation strategiesWho this book is forThe book is for data scientists, data analysts, machine learning engineers, and Python developers who want to build industry-ready time series models. Since the book explains most concepts from the ground up, basic proficiency in Python is all you need. Prior understanding of machine learning or forecasting will help speed up your learning. For experienced machine learning and forecasting practitioners, this book has a lot to offer in terms of advanced techniques and traversing the latest research frontiers in time series forecasting.Table of ContentsIntroducing Time SeriesAcquiring and Processing Time Series DataAnalyzing and Visualizing Time Series DataSetting a Strong Baseline ForecastTime Series Forecasting as RegressionFeature Engineering for Time Series ForecastingTarget Transformations for Time Series ForecastingForecasting Time Series with Machine Learning ModelsEnsembling and StackingGlobal Forecasting ModelsIntroduction to Deep LearningBuilding Blocks of Deep Learning for Time SeriesCommon Modeling Patterns for Time SeriesAttention and Transformers for Time SeriesStrategies for Global Deep Learning Forecasting Models(N.B. Please use the Look Inside option to see further chapters)

Master QuickBooks® with ease! This book covers company file setup, A/R and A/P reports, payroll setup, bank transactions, and more. Optimize your bookkeeping today!Purchase of the print or Kindle book includes a free eBook in the PDF format.Key FeaturesBecome proficient in QBO from a beginner level and implement the best practices to avoid costly errorsBenefit from over 500 pages of QuickBooks coverage, including detailed images and instructionsExplore advanced bookkeeping concepts such as managing payroll and handling end-year reportingBook DescriptionMastering QuickBooks® 2023 is a comprehensive guide that covers everything you need to know to master QuickBooks, from setting up your accounts and managing your transactions to generating reports and integrating with other software. With step-by-step instructions, real-world examples, and practical tips and tricks, this book is designed to help small business owners, independent contractors, and bookkeepers optimize their financial management and streamline their business operations.What you will learnCreate a company file and set up accountsCustomize forms and templatesManage customers and vendorsTrack inventory and sales taxReconcile bank and credit card accountsGenerate financial statements and reportsUse payroll features and integrate with other softwareSo why wait? Take control of your finances and transform your business with "Mastering QuickBooks® 2023."Who this book is forSmall business owners, bookkeepers, and accounting students who want to start using QuickBooks more effectively will all get plenty of practical know-how from this book.This guide is appropriate for beginners and also serves as an exhaustive resource for those with some bookkeeping experience and those studying to become a QuickBooks Certified User.Table of ContentsGetting Started with QuickBooks OnlineCompany File SetupMigrating to QuickBooks Online Customizing QuickBooks for Your Business Managing Customer, Vendor, and Products and Services ListsManaging Sales Tax Recording Sales Transactions in QuickBooks OnlineRecording Expenses in QuickBooks OnlineReconciling Uploaded Bank and Credit Card TransactionsReport Center OverviewBusiness Overview Reports Customer Sales Reports in QuickBooks Online Vendor and Expenses Reports Managing Employees and 1099 Contractors in QuickBooks OnlineClosing the Books in QuickBooks Online Finding Apps and Handling Special Transactions in QuickBooks OnlineQuickBooks Online Advanced Shortcuts and Test Drive QuickBooks Certified User Exam Objectives

Build, scale, and maintain microservices in Golang with ease.Key FeaturesCreate and organize well-structured Go microservicesLearn industry best practices and gain insights into Go microservice development tools, patterns, and solutionsCover hands-on Golang examples in each chapterBook DescriptionThis book covers the key benefits and common issues of microservices, helping you understand the problems microservice architecture helps to solve, the issues it usually introduces, and the ways to tackle them. You'll start by learning about the importance of using the right principles and standards in order to achieve the key benefits of microservice architecture. The following chapters will explain why the Go programming language is one of the most popular languages for microservice development and lay down the foundations for the next chapters of the book. You'll explore the foundational aspects of Go microservice development including service scaffolding, service discovery, data serialization, synchronous and asynchronous communication, deployment, and testing. After covering the development aspects, you'll progress to maintenance and reliability topics. The last part focuses on more advanced topics of Go microservice development including system reliability, observability, maintainability, and scalability. In this part, you'll dive into the best practices and examples which illustrate how to apply the key ideas to existing applications, using the services scaffolded in the previous part as examples. By the end of this book, you'll have gained hands-on experience with everything you need to develop scalable, reliable and performant microservices using Go.What you will learnGet familiar with the industry's best practices and solutions in microservice developmentUnderstand service discovery in the microservices environmentExplore reliability and observability principlesDiscover best practices for asynchronous communicationFocus on how to write high-quality unit and integration tests in Go applicationsUnderstand how to profile Go microservicesWho this book is forThis book is for all types of developers, from people interested in learning how to write microservices in Go to seasoned professionals who want to take the next step in mastering the art of writing scalable and reliable microservice-based systems. A basic understanding of Go will come in handy.Table of ContentsIntroduction to microservicesScaffolding a Go microserviceService discoverySerialization Synchronous communicationAsynchronous communicationStoring Service DataDeployment with KubernetesUnit and Integration TestingReliability overviewCollecting Service Telemetry DataSetting up Service AlertingAdvanced Topics

Begin building event-driven microservices, including patterns to handle data consistency and resiliencyKey Features:- Explore the benefits and tradeoffs of event-driven architectures with practical examples and use cases- Understand synergy with event sourcing, CQRS, and domain-driven development in software architecture- Build an end-to-end robust application architecture by the end of the bookBook Description:Event-driven architecture in Golang is an approach used to develop applications that shares state changes asynchronously, internally, and externally using messages. EDA applications are better suited at handling situations that need to scale up quickly and the chances of individual component failures are less likely to bring your system crashing down. This is why EDA is a great thing to learn and this book is designed to get you started with the help of step-by-step explanations of essential concepts, practical examples, and more.You'll begin building event-driven microservices, including patterns to handle data consistency and resiliency. Not only will you learn the patterns behind event-driven microservices but also how to communicate using asynchronous messaging with event streams. You'll then build an application made of several microservices that communicates using both choreographed and orchestrated messaging.By the end of this book, you'll be able to build and deploy your own event-driven microservices using asynchronous communication.What You Will Learn:- Understand different event-driven patterns and best practices- Plan and design your software architecture with ease- Track changes and updates effectively using event sourcing- Test and deploy your sample software application with ease- Monitor and improve the performance of your software architectureWho this book is for:This hands-on book is for intermediate-level software architects, or senior software engineers working with Golang and interested in building asynchronous microservices using event sourcing, CQRS, and DDD. Intermediate-level knowledge of the Go syntax and concurrency features is necessary.Table of Contents- Introduction to Event-Driven Architectures- Supporting Patterns In Brief- Design and Planning- Event Foundations- Tracking Changes with Event Sourcing- Asynchronous Connections- Event-carried State Transfer- Event Workflows- Transactional Messaging- Testing- Deploying applications to the cloud- Monitoring and Observability

Publisher's Note: Microsoft will stop supporting .NET 7 from May 2024. The newer 8th edition of the book is available that covers .NET 8 (end-of-life November 2026) with C# 12 and EF Core.Purchase of the print or Kindle book includes a free PDF eBookKey Features:- Explore the newest additions to C# 11, the .NET 7 class libraries, and Entity Framework Core 7- Create professional websites and services with ASP.NET Core 7 and Blazor- Build your confidence with step-by-step code examples and tips for best practicesBook Description:Extensively revised to accommodate the latest features that come with C# 11 and .NET 7, this latest edition of our guide will get you coding in C# with confidence.You'll learn object-oriented programming, writing, testing, and debugging functions, implementing interfaces, and inheriting classes. Next, you'll take on .NET APIs for performing tasks like managing and querying data, working with the filesystem, and serialization. As you progress, you'll also explore examples of cross-platform projects you can build and deploy, such as websites and services using ASP.NET Core.Instead of distracting you with unnecessary graphical user interface code, the first eleven chapters will teach you about C# language constructs and many of the .NET libraries through simple console applications. Having mastered the basics, you'll then start building websites, web services, and browser apps.By the end of this book, you'll be able to create rich web experiences and have a solid grasp of object-oriented programming that you can build upon.What You Will Learn:- Build rich web experiences using Blazor, Razor Pages, the Model-View-Controller (MVC) pattern, and other features of ASP.NET Core- Write, test, and debug functions- Query and manipulate data using LINQ- Integrate and update databases in your apps using Entity Framework Core models- Build and consume powerful services using the latest technologies, including Web API and Minimal API- For .NET 6 developers:- C# 11 can be used with .NET 6, including features like raw string literals- EF Core 7 targets .NET 6, so you can benefit from its new features like ExecuteUpdate and ExecuteDelete for more efficient data modificationsWho this book is for:This book is primarily for beginners, but intermediate-level C# and .NET programmers who have worked with C# in the past and want to catch up with the changes made in the past few years will also find plenty of useful information in it. Prior exposure to C# or .NET is not a prerequisite, but you should have a general understanding of programming before you jump in.If you already have some C# and .NET skills and want to focus on developing apps, we recommend that you pick up Mark's other .NET book, Apps and Services with .NET 7, instead.Table of Contents- Hello, C#! Welcome, .NET!- Speaking C#- Controlling Flow, Converting Types, and Handling Exceptions- Writing, Debugging, and Testing Functions- Building Your Own Types with Object-Oriented Programming- Implementing Interfaces and Inheriting Classes- Packaging and Distributing .NET Types- Working with Common .NET Types- Working with Files, Streams, and Serialization- Working with Data Using Entity Framework Core- Querying and Manipulating Data Using LINQ- Introducing Web Development Using ASP.NET Core- Building Websites Using ASP.NET Core Razor Pages- Building Websites Using the Model-View-Controller Pattern- Building and Consuming Web Services- Building User Interfaces Using Blazor- Epilogue- Appendix, Answers to the Test Your Knowledge Questions

Learn how to write software that excites your customers and avoids breaking your work when making changesKey Features:Learn how a simple shift in focus will let you use tests to meet customer needsDevelop a testing library and a logging library that you can use in your own projectsDrive better code designs with effective tests that help new team members contribute fasterBook Description:Modern, standard C++ is all that is needed to create a small and practical testing framework that will improve the design of any project. This allows you to think about how the code will be used, which is the first step in designing intuitive interfaces. TDD is a modern balanced software development approach that helps to create maintainable applications, provide modularity in design, and write minimal code that drastically reduces defects. With the help of this book, you'll be able to continue adding value when designs need to change by ensuring that the changes don't break existing tests.In this book, you will use test-driven development (TDD) to gain practical skills by writing a simple testing framework and then using it to drive the design of a logging library. The book will help you enhance your software development skills with test cases. You'll understand how to design and implement test cases. The chapters will also show you how to utilize the TDD approach to be more productive in software development than attempting to code in large unstructured steps.By the end of this book, you'll have gained knowledge of TDD and testing and also built a working logging library with unique features not found in other libraries.What You Will Learn:Understand how to develop software using TDDKeep the code for the system as error-free as possibleRefactor and redesign code confidentlyCommunicate the requirements and behaviors of the code with your teamUnderstand the differences between unit tests and integration testsUse TDD to create a minimal viable testing frameworkWho this book is for:This book is for C++ developers already familiar with and using C++ for daily tasks who want to improve their skillset. You don't need to be an expert but you should already have some knowledge of modern C++ and how to use templates to get the most out of this book.

Develop the skills required to administer your RHEL environment on-premises and in the cloud while preparing for the RHCSA examPurchase of the print or Kindle book includes a free eBook in PDF formatKey Features- Become a pro at system administration from installation to container management- Secure and harden your Linux environment using SSH, SELinux, firewall, and system permissions- Gain confidence to pass the RHCSA exam with the help of practice testsBook DescriptionWith Red Hat Enterprise Linux 9 becoming the standard for enterprise Linux used from data centers to the cloud, Linux administration skills are in high demand. With this book, you'll learn how to deploy, access, tweak, and improve enterprise services on any system on any cloud running Red Hat Enterprise Linux 9.Throughout the book, you'll get to grips with essential tasks such as configuring and maintaining systems, including software installation, updates, and core services. You'll also understand how to configure the local storage using partitions and logical volumes, as well as assign and deduplicate storage. You'll learn how to deploy systems while also making them secure and reliable.This book provides a base for users who plan to become full-time Linux system administrators by presenting key command-line concepts and enterprise-level tools, along with essential tools for handling files, directories, command-line environments, and documentation for creating simple shell scripts or running commands. With the help of command line examples and practical tips, you'll learn by doing and save yourself a lot of time.By the end of the book, you'll have gained the confidence to manage the filesystem, users, storage, network connectivity, security, and software in RHEL 9 systems on any footprint.What You Will Learn- Become well versed with the fundamentals of RHEL9-from system deployment to user management- Secure a system by using SELinux policies and configuring firewall rules- Understand LVM to manage volumes and maintain VDO deduplication- Manage a system remotely using SSH and public key authentication- Get the hang of the boot process and kernel tunable to adjust your systems- Automate simple tasks using scripts or Ansible PlaybooksWho this book is forThis book is for Red Hat Enterprise Linux system administrators and Linux system administrators. It's also a good resource for any IT professional who wants to learn system administration. RHCSA certification candidates will find this book useful in their preparation for the certification exam.Table of Contents- Getting RHEL Up and Running- RHEL 9 Advanced Installation Options- Basic Commands and Simple Shell Scripts- Tools for Regular Operations- Securing Systems with Users, Groups, and Permissions- Enabling Network Connectivity- Adding, Patching, and Managing Software- Administering Systems Remotely- Securing Network Connectivity with firewalld- Keeping Your System Hardened with SELinux- System Security Profiles with OpenSCAP- Managing Local Storage and Filesystems- Flexible Storage Management with LVM- Advanced Storage Management with Stratis and VDO- Understanding the Boot Process- Kernel Tuning and Managing Performance Profiles with tuned- Managing Containers with Podman, Buildah, and Skopeo- Practice Exercises - 1- Practice Exercises - 2

Learn the principles of quantum machine learning and how to apply themWhile focus is on financial use cases, all the methods and techniques are transferable to other fieldsPurchase of Print or Kindle includes a free eBook in PDFKey Features:- Discover how to solve optimisation problems on quantum computers that can provide a speedup edge over classical methods- Use methods of analogue and digital quantum computing to build powerful generative models- Create the latest algorithms that work on Noisy Intermediate-Scale Quantum (NISQ) computersBook Description:With recent advances in quantum computing technology, we finally reached the era of Noisy Intermediate-Scale Quantum (NISQ) computing. NISQ-era quantum computers are powerful enough to test quantum computing algorithms and solve hard real-world problems faster than classical hardware.Speedup is so important in financial applications, ranging from analysing huge amounts of customer data to high frequency trading. This is where quantum computing can give you the edge. Quantum Machine Learning and Optimisation in Finance shows you how to create hybrid quantum-classical machine learning and optimisation models that can harness the power of NISQ hardware.This book will take you through the real-world productive applications of quantum computing. The book explores the main quantum computing algorithms implementable on existing NISQ devices and highlights a range of financial applications that can benefit from this new quantum computing paradigm.This book will help you be one of the first in the finance industry to use quantum machine learning models to solve classically hard real-world problems. We may have moved past the point of quantum computing supremacy, but our quest for establishing quantum computing advantage has just begun!What You Will Learn:- Train parameterised quantum circuits as generative models that excel on NISQ hardware- Solve hard optimisation problems- Apply quantum boosting to financial applications- Learn how the variational quantum eigensolver and the quantum approximate optimisation algorithms work- Analyse the latest algorithms from quantum kernels to quantum semidefinite programming- Apply quantum neural networks to credit approvalsWho this book is for:This book is for Quants and developers, data scientists, researchers, and students in quantitative finance. Although the focus is on financial use cases, all the methods and techniques are transferable to other areas.Table of Contents- The Principles of Quantum Mechanics- Adiabatic Quantum Computing- Quadratic Unconstrained Binary Optimisation- Quantum Boosting- Quantum Boltzmann Machine- Qubits and Quantum Logic Gates- Parameterised Quantum Circuits and Data Encoding- Quantum Neural Network- Quantum Circuit Born Machine- Variational Quantum Eigensolver- Quantum Approximate Optimisation Algorithm- The Power of Parameterised Quantum Circuits- Looking Ahead- Bibliography