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C++ Hacker's Guide
C++ Hacker's Guide

An experienced programmer accumulates a set of tools, tricks, and techniques to make his or her programs better. C++ Hacker's Guide collects more than 120 of the best C++ veteran secrets and puts them in one accessible place. The techniques presented have all been used in actual programs, and more importantly, have made actual programs better. Full of real world, highly useful information, this book offers a career's worth of knowledge to round out any C++ programmer's repertoire. Topics include strategies to make code more memory safe, debuggable, efficient, and maintainable. This book contains a collection of hacks born out of over forty years of programming experience. Here you'll find all sorts of hacks to make your programs more reliable, more readable, and easier to debug. In the true hacker tradition, this is the result of observing what works and how it works, improving the system, and then passing the information on. ...
Mastering TypeScript, 4th Edition
Mastering TypeScript, 4th Edition

TypeScript is both a language and a set of tools to generate JavaScript. It was designed by Anders Hejlsberg at Microsoft to help developers write enterprise-scale JavaScript. Using a fast-paced, but easy-to-follow set of code samples, this fourth edition will get you up and running with Typescript quickly, introduce core concepts, and then build on this knowledge to help you understand and then apply more advanced language features. Mastering TypeScript, 4th Edition also covers a variety of modern JavaScript and TypeScript frameworks and compares their respective strengths and weaknesses. As you advance through this TypeScript book, you'll explore Angular, React, Vue, RxJs, Express, NodeJS, and others. You'll get up to speed with unit and integration testing, data transformation, serverless technologies, and asynchronous programming. You'll also learn how to integrate with existing JavaScript libraries, control your compiler options, and use decorators and generics. By the en ...
Hands-On Financial Trading with Python
Hands-On Financial Trading with Python

Algorithmic trading helps you stay ahead of the markets by devising strategies in quantitative analysis to gain profits and cut losses. The book starts by introducing you to algorithmic trading and explaining why Python is the best platform for developing trading strategies. You'll then cover quantitative analysis using Python, and learn how to build algorithmic trading strategies with Zipline using various market data sources. Using Zipline as the backtesting library allows access to complimentary US historical daily market data until 2018. As you advance, you will gain an in-depth understanding of Python libraries such as NumPy and pandas for analyzing financial datasets, and explore Matplotlib, statsmodels, and scikit-learn libraries for advanced analytics. You'll also focus on time series forecasting, covering pmdarima and Facebook Prophet. By the end of this trading book, you will be able to build predictive trading signals, adopt basic and advanced algorithmic trading strat ...
Mobile Development with .NET, 2nd Edition
Mobile Development with .NET, 2nd Edition

The .NET 5 framework is a unified framework with capabilities that enable you to use Microsoft's developer ecosystem on a single platform. Xamarin, used for developing mobile applications, is one of the app model implementations for .NET Core infrastructure. This book will show you how to design, architect, and develop attractive, maintainable, and robust mobile applications for multiple platforms, including iOS, Android, and UWP using Xamarin, .NET Core, and Azure. With the help of real-world scenarios, you'll explore different phases of application development using Xamarin, from environment setup, design, and architecture to publishing. Throughout the book, you'll learn how to develop mobile apps using Xamarin and .NET Standard. You'll even be able to implement a web-based backend composed of microservices with .NET Core using various Azure services including, but not limited to, Azure Active Directory, Azure Functions. As you advance, you'll create data stores using popular data ...
Classical Object-Oriented Programming with ECMAScript
Classical Object-Oriented Programming with ECMAScript

ECMAScript (more popularly known by the name "JavaScript") is the language of the web. In the decades past, it has been used to augment web pages with trivial features and obnoxious gimmicks. Today, the language is used to write full-featured web applications that rival modern desktop software in nearly every regard and has even expanded to create desktop and server software. With increased usage, there is a desire to apply more familiar development paradigms while continuing to take advantage of the language's incredibly flexible functional and prototypal models. Of all of the modern paradigms, one of the most influential and widely adopted is the Classical Object-Oriented paradigm, as represented in languages such as Java, C++, Python, Perl, PHP and others. ECMAScript, as an object-oriented language, contains many features familiar to Classical OO developers. However, certain features remain elusive. This paper will detail the development of a classical object-oriented framework f ...
Beginning T-SQL, 4th Edition
Beginning T-SQL, 4th Edition

Get a performance-oriented introduction to the T-SQL language underlying the Microsoft SQL Server and Azure SQL database engines. This fourth edition is updated to include SQL Notebooks as well as up-to-date syntax and features for T-SQL on-premises and in the Azure cloud. Exercises and examples now include the WideWorldImporters database, the newest sample database from Microsoft for SQL Server. Also new in this edition is coverage of JSON from T-SQL, news about performance enhancements called Intelligent Query Processing, and an appendix on running SQL Server in a container on macOS or Linux. Beginning T-SQL starts you on the path to mastering T-SQL with an emphasis on best practices. Using the sound coding techniques taught in this book will lead to excellent performance in the queries that you write in your daily work. Important techniques such as windowing functions are covered to help you write fast-executing queries that solve real business problems.The book begins with an i ...
Developing Web Components with TypeScript
Developing Web Components with TypeScript

Create professional and progressive web apps with the native HTML API on the latest technology stack. This book describes the basics of web components and how to create them using plain JavaScript as well as how to make professional applications based on web components using TypeScript. Developing Web Components with TypeScript looks at APIs using examples, techniques, and tricks. You will start with a brief introduction to web components, including slots and templates, handling custom events, and styling components with or without shadow DOM. Then, it introduces TypeScript as part of the tool set. It shows the internal construction of a professional thin library. It also helps you learn how to deal with web components in real-life projects; this includes techniques such as creating a single-page app without framework code. All code samples used here are supported by all modern browsers for you to follow along. ...
Data Science Revealed
Data Science Revealed

Get insight into data science techniques such as data engineering and visualization, statistical modeling, machine learning, and deep learning. This book teaches you how to select variables, optimize hyper parameters, develop pipelines, and train, test, and validate machine and deep learning models. Each chapter includes a set of examples allowing you to understand the concepts, assumptions, and procedures behind each model. The book covers parametric methods or linear models that combat under- or over-fitting using techniques such as Lasso and Ridge. It includes complex regression analysis with time series smoothing, decomposition, and forecasting. It takes a fresh look at non-parametric models for binary classification (logistic regression analysis) and ensemble methods such as decision trees, support vector machines, and naive Bayes. It covers the most popular non-parametric method for time-event data (the Kaplan-Meier estimator). It also covers ways of solving classification pro ...
Python and R for the Modern Data Scientist
Python and R for the Modern Data Scientist

Success in data science depends on the flexible and appropriate use of tools. That includes Python and R, two of the foundational programming languages in the field. This book guides data scientists from the Python and R communities along the path to becoming bilingual. By recognizing the strengths of both languages, you'll discover new ways to accomplish data science tasks and expand your skill set. Authors Rick Scavetta and Boyan Angelov explain the parallel structures of these languages and highlight where each one excels, whether it's their linguistic features or the powers of their open source ecosystems. You'll learn how to use Python and R together in real-world settings and broaden your job opportunities as a bilingual data scientist. Learn Python and R from the perspective of your current language; Understand the strengths and weaknesses of each language; Identify use cases where one language is better suited than the other; Understand the modern open source ecosystem av ...
TensorFlow 2 Pocket Reference
TensorFlow 2 Pocket Reference

This easy-to-use reference for TensorFlow 2 design patterns in Python will help you make informed decisions for various use cases. Author KC Tung addresses common topics and tasks in enterprise data science and machine learning practices rather than focusing on TensorFlow itself. When and why would you feed training data as using NumPy or a streaming dataset? How would you set up cross-validations in the training process? How do you leverage a pretrained model using transfer learning? How do you perform hyperparameter tuning? Pick up this pocket reference and reduce the time you spend searching through options for your TensorFlow use cases. Understand best practices in TensorFlow model patterns and ML workflows; Use code snippets as templates in building TensorFlow models and workflows; Save development time by integrating prebuilt models in TensorFlow Hub; Make informed design choices about data ingestion, training paradigms, model saving, and inferencing; Address common scenari ...
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