Azure Functions Succinctly
Azure Functions is a new service available in Microsoft Azure to help developers run code on serverless architectures. In essence, Azure Functions is about events and code - developers write some code that will be executed upon some triggering event - but what sets Azure Functions apart is its simplicity. Developers can write just the code they need, without having to configure any supporting infrastructure. In Azure Functions Succinctly by Ed Freitas, you'll learn the basic applications of Azure Functions, how to create your first Azure function app, and how to work with different triggering events. ...
Azure Functions is a new service available in Microsoft Azure to help developers run code on serverless architectures. In essence, Azure Functions is about events and code - developers write some code that will be executed upon some triggering event - but what sets Azure Functions apart is its simplicity. Developers can write just the code they need, without having to configure any supporting infrastructure. In Azure Functions Succinctly by Ed Freitas, you'll learn the basic applications of Azure Functions, how to create your first Azure function app, and how to work with different triggering events. ...
Beginning IntelliJ IDEA
Get started quickly with IntelliJ, from installation to configuration to working with the source code and more. This tutorial will show you how to leverage IntelliJ's tools to develop clean, efficient Java applications. Author Ted Hagos will first walk you through buidling your first Java applications using IntelliJ. Then, he'll show you how to analyze your application, top to bottom; using version control and tools that allow you expand your application for big data or data science applications and more. You'll also learn some of the IDE's advanced features to fully maximize your application's capabilities. The last portion of the book focuses on application testing and deployment, and language- and framework- specific guidelines. After reading this book and working through its freely available source code, you'll be up to speed with this powerful IDE for today's Java development. ...
Get started quickly with IntelliJ, from installation to configuration to working with the source code and more. This tutorial will show you how to leverage IntelliJ's tools to develop clean, efficient Java applications. Author Ted Hagos will first walk you through buidling your first Java applications using IntelliJ. Then, he'll show you how to analyze your application, top to bottom; using version control and tools that allow you expand your application for big data or data science applications and more. You'll also learn some of the IDE's advanced features to fully maximize your application's capabilities. The last portion of the book focuses on application testing and deployment, and language- and framework- specific guidelines. After reading this book and working through its freely available source code, you'll be up to speed with this powerful IDE for today's Java development. ...
Practical Svelte
Learn to leverage the power of Svelte to produce web applications that are efficient and fast. This project-oriented book simplifies creating sites using Svelte from start to finish, with little more than a text editor and familiar languages such as HTML, CSS, and JavaScript. It equips you with a starting toolset that you can use to develop future projects, incorporate into your existing workflow, and allow you to take your websites to the next level. Practical Svelte is an excellent resource for getting acquainted with creating and manipulating websites or online applications using a component framework approach. It takes the view that we don't have to create something complex and unwieldy. We can build something quickly, using less code than some of its competitors, and extend it using the power of the API and plugins over time, without sacrificing speed or features. You will learn how to use the Svelte framework to rapidly create and deploy websites or online applications that ...
Learn to leverage the power of Svelte to produce web applications that are efficient and fast. This project-oriented book simplifies creating sites using Svelte from start to finish, with little more than a text editor and familiar languages such as HTML, CSS, and JavaScript. It equips you with a starting toolset that you can use to develop future projects, incorporate into your existing workflow, and allow you to take your websites to the next level. Practical Svelte is an excellent resource for getting acquainted with creating and manipulating websites or online applications using a component framework approach. It takes the view that we don't have to create something complex and unwieldy. We can build something quickly, using less code than some of its competitors, and extend it using the power of the API and plugins over time, without sacrificing speed or features. You will learn how to use the Svelte framework to rapidly create and deploy websites or online applications that ...
Adaptive Machine Learning Algorithms with Python
Learn to use adaptive algorithms to solve real-world streaming data problems. This book covers a multitude of data processing challenges, ranging from the simple to the complex. At each step, you will gain insight into real-world use cases, find solutions, explore code used to solve these problems, and create new algorithms for your own use. Authors Chanchal Chatterjee and Vwani P. Roychowdhury begin by introducing a common framework for creating adaptive algorithms, and demonstrating how to use it to address various streaming data issues. Examples range from using matrix functions to solve machine learning and data analysis problems to more critical edge computation problems. They handle time-varying, non-stationary data with minimal compute, memory, latency, and bandwidth. Upon finishing this book, you will have a solid understanding of how to solve adaptive machine learning and data analytics problems and be able to derive new algorithms for your own use cases. You will also c ...
Learn to use adaptive algorithms to solve real-world streaming data problems. This book covers a multitude of data processing challenges, ranging from the simple to the complex. At each step, you will gain insight into real-world use cases, find solutions, explore code used to solve these problems, and create new algorithms for your own use. Authors Chanchal Chatterjee and Vwani P. Roychowdhury begin by introducing a common framework for creating adaptive algorithms, and demonstrating how to use it to address various streaming data issues. Examples range from using matrix functions to solve machine learning and data analysis problems to more critical edge computation problems. They handle time-varying, non-stationary data with minimal compute, memory, latency, and bandwidth. Upon finishing this book, you will have a solid understanding of how to solve adaptive machine learning and data analytics problems and be able to derive new algorithms for your own use cases. You will also c ...
Learning TypeScript
TypeScript has conquered the world of JavaScript: it's one of the world's fastest growing and most popular languages across developer surveys, widely used in consumer and business companies alike, and frequently credited for helping massive web applications scale. But what is TypeScript? How does it work, why does it work, and how can we use it? Learning TypeScript takes beginner to intermediate JavaScript programmers from knowing nothing about "types" or a "type system" to full mastery of the fundamentals of TypeScript. It's more than a means to find bugs and typos - it's a useful system for declaring the way our JavaScript should work and helping us stick to it. You'll learn how TypeScript: interacts with JavaScript; analyzes and understands code; augments your existing development pattern; helps you document your code; works with IDEs to provide refactoring tools; assists local development in refactoring code; helps you develop more quickly with fewer bugs. ...
TypeScript has conquered the world of JavaScript: it's one of the world's fastest growing and most popular languages across developer surveys, widely used in consumer and business companies alike, and frequently credited for helping massive web applications scale. But what is TypeScript? How does it work, why does it work, and how can we use it? Learning TypeScript takes beginner to intermediate JavaScript programmers from knowing nothing about "types" or a "type system" to full mastery of the fundamentals of TypeScript. It's more than a means to find bugs and typos - it's a useful system for declaring the way our JavaScript should work and helping us stick to it. You'll learn how TypeScript: interacts with JavaScript; analyzes and understands code; augments your existing development pattern; helps you document your code; works with IDEs to provide refactoring tools; assists local development in refactoring code; helps you develop more quickly with fewer bugs. ...
Essential Math for Data Science
Master the math needed to excel in data science, machine learning, and statistics. In this book author Thomas Nield guides you through areas like calculus, probability, linear algebra, and statistics and how they apply to techniques like linear regression, logistic regression, and neural networks. Along the way you'll also gain practical insights into the state of data science and how to use those insights to maximize your career. Learn how to: Use Python code and libraries like SymPy, NumPy, and scikit-learn to explore essential mathematical concepts like calculus, linear algebra, statistics, and machine learning; Understand techniques like linear regression, logistic regression, and neural networks in plain English, with minimal mathematical notation and jargon; Perform descriptive statistics and hypothesis testing on a dataset to interpret p-values and statistical significance; Manipulate vectors and matrices and perform matrix decomposition; Integrate and build upon incremental ...
Master the math needed to excel in data science, machine learning, and statistics. In this book author Thomas Nield guides you through areas like calculus, probability, linear algebra, and statistics and how they apply to techniques like linear regression, logistic regression, and neural networks. Along the way you'll also gain practical insights into the state of data science and how to use those insights to maximize your career. Learn how to: Use Python code and libraries like SymPy, NumPy, and scikit-learn to explore essential mathematical concepts like calculus, linear algebra, statistics, and machine learning; Understand techniques like linear regression, logistic regression, and neural networks in plain English, with minimal mathematical notation and jargon; Perform descriptive statistics and hypothesis testing on a dataset to interpret p-values and statistical significance; Manipulate vectors and matrices and perform matrix decomposition; Integrate and build upon incremental ...
Inside Deep Learning
Inside Deep Learning is an accessible guide to implementing deep learning with the PyTorch framework. It demystifies complex deep learning concepts and teaches you to understand the vocabulary of deep learning so you can keep pace in a rapidly evolving field. No detail is skipped - you'll dive into math, theory, and practical applications. Everything is clearly explained in plain English. Deep learning doesn't have to be a black box! Knowing how your models and algorithms actually work gives you greater control over your results. And you don't have to be a mathematics expert or a senior data scientist to grasp what's going on inside a deep learning system. This book gives you the practical insight you need to understand and explain your work with confidence. Inside Deep Learning illuminates the inner workings of deep learning algorithms in a way that even machine learning novices can understand. You'll explore deep learning concepts and tools through plain language explanations, ...
Inside Deep Learning is an accessible guide to implementing deep learning with the PyTorch framework. It demystifies complex deep learning concepts and teaches you to understand the vocabulary of deep learning so you can keep pace in a rapidly evolving field. No detail is skipped - you'll dive into math, theory, and practical applications. Everything is clearly explained in plain English. Deep learning doesn't have to be a black box! Knowing how your models and algorithms actually work gives you greater control over your results. And you don't have to be a mathematics expert or a senior data scientist to grasp what's going on inside a deep learning system. This book gives you the practical insight you need to understand and explain your work with confidence. Inside Deep Learning illuminates the inner workings of deep learning algorithms in a way that even machine learning novices can understand. You'll explore deep learning concepts and tools through plain language explanations, ...
Functional Programming in Kotlin
Functional Programming in Kotlin is a reworked version of the bestselling Functional Programming in Scala, with all code samples, instructions, and exercises translated into the powerful Kotlin language. In this authoritative guide, you'll take on the challenge of learning functional programming from first principles. Complex concepts are demonstrated through exercises that you'll love to test yourself against. You'll start writing Kotlin code that's easier to read, easier to reuse, better for concurrency, and less prone to bugs and errors. Improve performance, increase maintainability, and eliminate bugs! How? By programming the functional way. Kotlin provides strong support for functional programming, taking a pragmatic approach that integrates well with OO codebases. By applying the techniques you'll learn in this book, your code will be safer, less prone to errors, and much easier to read and reuse. Functional Programming in Kotlin teaches you how to design and write Kotlin a ...
Functional Programming in Kotlin is a reworked version of the bestselling Functional Programming in Scala, with all code samples, instructions, and exercises translated into the powerful Kotlin language. In this authoritative guide, you'll take on the challenge of learning functional programming from first principles. Complex concepts are demonstrated through exercises that you'll love to test yourself against. You'll start writing Kotlin code that's easier to read, easier to reuse, better for concurrency, and less prone to bugs and errors. Improve performance, increase maintainability, and eliminate bugs! How? By programming the functional way. Kotlin provides strong support for functional programming, taking a pragmatic approach that integrates well with OO codebases. By applying the techniques you'll learn in this book, your code will be safer, less prone to errors, and much easier to read and reuse. Functional Programming in Kotlin teaches you how to design and write Kotlin a ...
Functional Programming in C#, 2nd Edition
Functional Programming in C# has helped thousands of developers apply functional thinking to C# code. Its practical examples and spot-on treatment of FP concepts makes it the perfect guide for proficient C# programmers. This second edition is fully revised to cover new functional-inspired features in the most recent releases of C#, including tuples, async streams, pattern matching, and records. Each chapter is packed with awesome perspectives and epiphany moments on how functional programming can change the way you code. Turbocharge your C# code. Good functional techniques will improve concurrency, state management, event handling, and maintainability of your software. This book gives you practical answers to why, how, and where to add functional programing into your C# coding practice. Functional Programming in C#, Second Edition teaches functional thinking for real-world problems. It reviews the C# language features that allow you to program functionally and through many practi ...
Functional Programming in C# has helped thousands of developers apply functional thinking to C# code. Its practical examples and spot-on treatment of FP concepts makes it the perfect guide for proficient C# programmers. This second edition is fully revised to cover new functional-inspired features in the most recent releases of C#, including tuples, async streams, pattern matching, and records. Each chapter is packed with awesome perspectives and epiphany moments on how functional programming can change the way you code. Turbocharge your C# code. Good functional techniques will improve concurrency, state management, event handling, and maintainability of your software. This book gives you practical answers to why, how, and where to add functional programing into your C# coding practice. Functional Programming in C#, Second Edition teaches functional thinking for real-world problems. It reviews the C# language features that allow you to program functionally and through many practi ...
Grokking Machine Learning
Grokking Machine Learning teaches you how to apply ML to your projects using only standard Python code and high school-level math. No specialist knowledge is required to tackle the hands-on exercises using Python and readily available machine learning tools. Packed with easy-to-follow Python-based exercises and mini-projects, this book sets you on the path to becoming a machine learning expert. Discover powerful machine learning techniques you can understand and apply using only high school math! Put simply, machine learning is a set of techniques for data analysis based on algorithms that deliver better results as you give them more data. ML powers many cutting-edge technologies, such as recommendation systems, facial recognition software, smart speakers, and even self-driving cars. This unique book introduces the core concepts of machine learning, using relatable examples, engaging exercises, and crisp illustrations. Grokking Machine Learning presents machine learning algorithm ...
Grokking Machine Learning teaches you how to apply ML to your projects using only standard Python code and high school-level math. No specialist knowledge is required to tackle the hands-on exercises using Python and readily available machine learning tools. Packed with easy-to-follow Python-based exercises and mini-projects, this book sets you on the path to becoming a machine learning expert. Discover powerful machine learning techniques you can understand and apply using only high school math! Put simply, machine learning is a set of techniques for data analysis based on algorithms that deliver better results as you give them more data. ML powers many cutting-edge technologies, such as recommendation systems, facial recognition software, smart speakers, and even self-driving cars. This unique book introduces the core concepts of machine learning, using relatable examples, engaging exercises, and crisp illustrations. Grokking Machine Learning presents machine learning algorithm ...