Search results for ""Author Wei-Meng Lee""

The rapid proliferation of mobile networks for both public use and private has made connectivity-on-the-go a desirable, if not absolutely essential, condition. Nor is this mobility limited to laptops: everywhere you look, people are downloading email and other information directly to their cell phones and PDAs. For developers, this means an increased demand to create applications for mobile devices. Microsoft's .NET Compact Frameworks provides a full suite of powerful tools to help them get the job done. The .NET Compact Framework--a scaled down version of Microsoft's .NET Framework--offers a powerful programming environment for designing rich applications for the Pocket PC or Windows Mobile-based Smartphones. If you're familiar with the .NET Framework, you'll feel right at home in the .NET Compact Framework. You'll find the perfect way to jumpstart your productivity in our new .NET Compact Framework Pocket Guide. As with all of our popular Pocket Guides, this concise book delivers just the information you need without all the fluff. The .Net Compact Framework Pocket Guide provides a brief introduction to the framework and includes several projects to get you up to speed quickly. In this book you'll learn: The basics of programming for the .NET Compact Framework using Visual Studio .NET 2003; you'll be up and running with Hello, World in no time at all, User interface design considerations for the Pocket PC, Pocket PC Phone Edition, and Windows Mobile-based Smartphone, How to consume web services from .NET Compact Framework applications, How to cache on-line data for use when the mobile device is out of range of a network, How to write applications that use Bluetooth. Whether you're new to mobile programming or new to Visual Studio .NET 2003, the .NET Compact Framework Pocket Guide will teach what you need to know to get started developing mobile applications.

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Use this book to write an Ethereum blockchain smart contract, test it, deploy it, and create a web application to interact with your smart contract. This new edition has been expanded and updated to cover web3.js APIs, additional Consensus Protocols, non-Fungible Tokens (NFTs), developing NFT tokens using ERC-721, and more!Beginning Ethereum Smart Contracts Programming, second edition is your fastest and most efficient means of getting started if you are unsure where to begin and how to connect to the Ethereum blockchain. The book begins with a foundational discussion of blockchain and the motivation behind it. From there, you will get up close and personal with the Ethereum blockchain, learning how to use an Ethereum client (geth) to create a private Ethereum blockchain to perform transactions such as sending Ethers to another account on another node. You will learn about smart contracts without having to wade through tons of documentation. Author Lee’s “learn-by-doing” approach will allow you to be productive and feel confident in your ability in no time. The last part of this book covers tokens, a topic that has taken the cryptocurrency market by storm.Sample code in Python, Solidity, and JavaScript is provided in the book and online.What You'll Learn Understand the basic premise of blockchain and “record keeping” in a peer-to-peer network Experience blockchain in action by creating your own blockchain using Python Know the foundation of smart contracts programming and how to deploy and test smart contracts Work on a case study to illustrate the use of blockchain Be familiar with tokens, and how to create and launch your own ICO digital token Write smart contracts that transact using tokens Who This Book Is ForThose who want to get started quickly with Ethereum smart contracts programming. Basic programming knowledge and an understanding of Python or JavaScript is recommended.

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Python makes machine learning easy for beginners and experienced developers With computing power increasing exponentially and costs decreasing at the same time, there is no better time to learn machine learning using Python. Machine learning tasks that once required enormous processing power are now possible on desktop machines. However, machine learning is not for the faint of heart—it requires a good foundation in statistics, as well as programming knowledge. Python Machine Learning will help coders of all levels master one of the most in-demand programming skillsets in use today. Readers will get started by following fundamental topics such as an introduction to Machine Learning and Data Science. For each learning algorithm, readers will use a real-life scenario to show how Python is used to solve the problem at hand. • Python data science—manipulating data and data visualization • Data cleansing • Understanding Machine learning algorithms • Supervised learning algorithms • Unsupervised learning algorithms • Deploying machine learning models Python Machine Learning is essential reading for students, developers, or anyone with a keen interest in taking their coding skills to the next level.

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Go ist eine der neueren Programmiersprachen, die Softwareentwickler in ihrer Werkzeugkiste haben sollten. Die Sprache wurde mit dem Ziel entwickelt, besonders gut lesbar, benutzerfreundlich und effizient zu sein, und ist eine gute Wahl für Entwickler, die Anwendungen für die Cloud erstellen. Dieses Buch zeigt Ihnen die ersten Schritte in Go. Steigen Sie ein und beginnen Sie mit dem Schreiben von Code, der Daten aus der Cloud holt und sie in die Hände der Benutzer legt.

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