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Podcasts
Apple Pay, one of the most talked about offerings of the latest iOS 9 release, is a digital wallet and electronic payment system developed by Apple Inc. Paying in stores or within apps has never been easier or safer. Gone are the days of searching for your wallet, and the wasted moments finding the right card! Now you can use your credit cards and rewards cards with just a touch. It allows payment to merchants, using Near field Communication (NFC), and within iOS apps. Implementing Apple Pay within apps for payment is a bit tricky, but our book solves this problem for you.Whether you are a brand new iOS app developer or a seasoned expert, this book arms you with necessary skills to successfully implement Apple Pay in your online-payment workflow.Whether you are a brand new iOS app developer or a seasoned expert, this book arms you with the necessary skills to successfully implement Apple Pay. We start off by teaching you how to obtain the certificates necessary to encrypt customers’ payment information. We will use Xcode and Objective C for the interface and Node.js for server side code. You will then learn how to determine whether the customer can use Apple Pay, and how to create payment requests. You will come to grips with designing a payment-processor program to interact with the payment gateway. Finally, we take a look at a business-focused view of Apple Pay protocols and classes. By the end of this book, you will be able to build a fully functional Apple Pay-integrated iOS app
Suresh Kumar Mukhiya, Usman Ahmed
Exploratory Data Analysis (EDA) is an approach to data analysis that involves the application of diverse techniques to gain insights into a dataset. This book will help you gain practical knowledge of the main pillars of EDA - data cleaning, data preparation, data exploration, and data visualization.You’ll start by performing EDA using open source datasets and perform simple to advanced analyses to turn data into meaningful insights. You’ll then learn various descriptive statistical techniques to describe the basic characteristics of data and progress to performing EDA on time-series data. As you advance, you’ll learn how to implement EDA techniques for model development and evaluation and build predictive models to visualize results. Using Python for data analysis, you’ll work with real-world datasets, understand data, summarize its characteristics, and visualize it for business intelligence.By the end of this EDA book, you’ll have developed the skills required to carry out a preliminary investigation on any dataset, yield insights into data, present your results with visual aids, and build a model that correctly predicts future outcomes.
JavaScript for .NET Developers. Developing for the modern web
If you want to improve responsiveness or the UX in your ASP.NET applications, JavaScript can be a life saver. In an age where server-side operations have shifted to the client, being able to handle JavaScript with confidence and fluency is vital for ASP.NET developers. There’s no point trying to fight it, so start learning with this book. Make sure your projects exceed user expectations.Begin by getting stuck into the basics of JavaScript, and explore the language in the context of ASP.NET Core. You’ll then find out how to put the principles into practice, as you learn how to develop a basic ASP.NET application using Angular 2 and TypeScript. You’ll also develop essential skills required to develop responsive apps, with a little help from AJAX, ensuring that you’re building projects that can be easily accessed across different devices. With guidance on Node.js and some neat techniques to test and debug a range of JavaScript libraries in Visual Studio, you’ll soon be well on your way to combining JavaScript with ASP.NET in a way that’s capable of meeting the challenges of modern web development head-on.
The rapid advancements in large language models (LLMs) bring significant challenges in deployment, maintenance, and scalability. This Essential Guide to LLMOps provides practical solutions and strategies to overcome these challenges, ensuring seamless integration and the optimization of LLMs in real-world applications.This book takes you through the historical background, core concepts, and essential tools for data analysis, model development, deployment, maintenance, and governance. You’ll learn how to streamline workflows, enhance efficiency in LLMOps processes, employ LLMOps tools for precise model fine-tuning, and address the critical aspects of model review and governance. You’ll also get to grips with the practices and performance considerations that are necessary for the responsible development and deployment of LLMs. The book equips you with insights into model inference, scalability, and continuous improvement, and shows you how to implement these in real-world applications.By the end of this book, you’ll have learned the nuances of LLMOps, including effective deployment strategies, scalability solutions, and continuous improvement techniques, equipping you to stay ahead in the dynamic world of AI.
There are several concepts that must be mastered to deliver functional and efficient SaaS applications. This book is perfect for developers and teams with experience in traditional application development looking to switch to SaaS and deliver slick and modern applications. You‘ll start with a general overview of SaaS as a concept and learn with the help of an example throughout the book to bring life to the technical descriptions. You’ll use the Microsoft .NET tech stack for development and C# as the programming language to develop your desired SaaS application.Delivering SaaS requires a deep understanding of all layers in the application stack. As you progress, you’ll learn how to approach the database layer, the API, and the UI to confidently approach application development using the SaaS model. Additionally, you’ll explore how to test, deploy, maintain, and upgrade each component of the application.By the end of this book, you will be well equipped to approach all aspects of delivering software using the SaaS paradigm.
Srinjoy Ganguly, Thomas Cambier
Quantum computing is a growing field, with many research projects focusing on programming quantum computers in the most efficient way possible. One of the biggest challenges faced with existing languages is that they work on low-level circuit model details and are not able to represent quantum programs accurately. Developed by researchers at ETH Zurich after analyzing languages including Q# and Qiskit, Silq is a high-level programming language that can be viewed as the C++ of quantum computers! Quantum Computing with Silq Programming helps you explore Silq and its intuitive and simple syntax to enable you to describe complex tasks with less code. This book will help you get to grips with the constructs of the Silq and show you how to write quantum programs with it. You’ll learn how to use Silq to program quantum algorithms to solve existing and complex tasks. Using quantum algorithms, you’ll also gain practical experience in useful applications such as quantum error correction, cryptography, and quantum machine learning. Finally, you’ll discover how to optimize the programming of quantum computers with the simple Silq.By the end of this Silq book, you’ll have mastered the features of Silq and be able to build efficient quantum applications independently.