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Stylish F# - Kit Eason - Bog - APress - Plusbog.dk

Introducing Microsoft Quantum Computing for Developers - Johnny Hooyberghs - Bog - APress - Plusbog.dk

Introducing Microsoft Quantum Computing for Developers - Johnny Hooyberghs - Bog - APress - Plusbog.dk

Dive in with this hands-on introduction to quantum computing with the Microsoft Quantum Development Kit and Q# for software developers. You may have heard about quantum computing, but what does it mean to you as a software developer? With many new developments, a resurgence in interest, and investment by some of the largest tech companies in the world to be the first to market with quantum programming (QP) hardware and platforms, it is no longer a tool in the distant future. Developers are at the forefront, now able to create applications that take advantage of QP through simulations. While the skill is of interest, for many developers, quantum computing and its implications still remains a mystery. In this book, you will get up to speed exploring important quantum concepts and apply them in practice through writing actual quantum algorithms, using the Microsoft Quantum Development Kit. Theoretical knowledge about quantum physics, such as superposition and entanglement, will be used to explain quantum computing topics, including quantum gates, quantum circuits, and quantum algorithms. Finally, take a tour of the new Azure Quantum. Use Q#, Microsoft's new programming language, to target quantum hardware. You will select your supporting language of choice, either C# or Python, to begin writing your quantum applications. Combined with just enough theoretical preparation, you will learn how to get your computer ready to simulate basic quantum programs using Microsoft Visual Studio or Visual Studio Code and Q#. What You Will LearnGet up to speed on the platform-independent quantum tool set using the Microsoft Quantum Development Kit simulator and Visual Studio Code or Microsoft Visual Studio Know the basics of quantum mechanics required to start working on quantum computing Understand mathematical concepts such as complex numbers, trigonometry, and linear algebraInstall the Microsoft Quantum Development Kit on a Windows or Linux PC with Visual Studio Code or Microsoft Visual Studio Write quantum algorithms with the Microsoft Quantum Development Kit and Q#, supported by C# or Python Discover insights on important existing quantum algorithms such as Deutch, Deutch-Jozsa, and the fun CHSH-gameGet introduced to quantum as a service using the Microsoft Azure Quantum preview cloud offering Who This Book Is ForDevelopers who are interested in quantum computing, specifically those software developers who are planning on using quantum computers in the future. Basic imperative programming knowledge is useful to understand the syntax and structure found in the Q# programming language. Knowledge of Microsoft C# or Python is not required since these languages are only used to support the simulation of Q# on a classical computer.

DKK 495.00
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CSS Framework Alternatives - Anirudh Prabhu - Bog - APress - Plusbog.dk

The UBTECH Jimu Robots Builder’s Guide - Mark Rollins - Bog - APress - Plusbog.dk

Arduino Applied - Neil Cameron - Bog - APress - Plusbog.dk

Beginning iOS Game Center and GameKit - Beau G. Bolle - Bog - APress - Plusbog.dk

Beginning iOS Game Center and GameKit - Beau G. Bolle - Bog - APress - Plusbog.dk

Create fun and polished games and gamify your apps with GameKit and Game Center. This fully updated new edition of Kyle Richter’s classic can help you reach new customers through social integrations, multiplayer, and achievements. Quickly add a level of polish to your apps that used to take weeks of hard work and late nights. Implementing a leaderboard and achievement system has never been so simple! Gone are the days of writing and maintaining your own server. You'll also see how to easily add advanced networking concepts like VoIP support in hours, not days. Game Center is heavily pushed and promoted by Apple. By adding Game Center into your game, not only do you gain access to polished and professional features but your app will see a boost in downloads and sharing. Expeditiously implement a plethora of advanced social networking concepts into your apps. Create custom Game Center Manager classes that can be rapidly deployed into any of your new or existing projects. And jump right over pitfalls commonly encountered by new and experienced Game Center developers. Become a Game Center development champ! What You'll LearnBuild a reusable Game Center manager class that can be quickly used in future projectsIntegrate Game Kit and Game Center leaderboards and Achievements into your projectAdd real time and turned based multiplayer functionality to your gameImplement a real time voice chat systemWho This Book Is ForExperienced developers who already have a basic understanding of iOS development but haven’t yet had a chance to work with GameKit technology will benefit from this book.

DKK 391.00
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Learning Groovy 3 - Adam L. Davis - Bog - APress - Plusbog.dk

Learning Groovy 3 - Adam L. Davis - Bog - APress - Plusbog.dk

Start building powerful apps that take advantage of the dynamic scripting capabilities of the Groovy language, including what''s new in Groovy version 3.0. This book covers Groovy fundamentals, such as installing Groovy, using Groovy tools, and working with the Groovy Development Kit (GDK). You''ll also learn more advanced aspects of Groovy, such as using Groovy design patterns, writing DSLs in Groovy, and taking advantage of Groovy''s functional programming features. Also, Learning Groovy 3 has been updated to Groovy 3.0 to include the new Parrot parser which was extended to support additional syntax options and language features. It also includes coverage of Groovydoc, which allows you to embed Groovydoc comments in various ways. And, this book covers how Groovy supports Java type annotations and more. There is more to Groovy than the core language, so Learning Groovy 3, Second Edition covers the extended Groovy ecosystem. You''ll see how to harness Gradle (Groovy''s build system), Grails (Groovy''s web application framework), Spock (Groovy''s testing framework), and Ratpack (Groovy''s reactive web library). What You Will Learn - Grasp Groovy fundamentals, including the GDK - Master advanced Groovy, such as writing Groovy DSLs - Discover functional programming in Groovy - Work with GPars, the built-in concurrency library - Use Gradle, the build system - Master Grails, the web application framework - Work with Spock, the testing framework - Harness Ratpack, the reactive web library Who This Book Is For Those with a Java background, though anyone with basic programming skills can benefit from it. This book is a data-filled, yet easy-to-digest tour of the Groovy language and ecosystem.

DKK 476.00
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PyTorch Recipes - Pradeepta Mishra - Bog - APress - Plusbog.dk

PyTorch Recipes - Pradeepta Mishra - Bog - APress - Plusbog.dk

Learn how to use PyTorch to build neural network models using code snippets updated for this second edition. This book includes new chapters covering topics such as distributed PyTorch modeling, deploying PyTorch models in production, and developments around PyTorch with updated code. You'll start by learning how to use tensors to develop and fine-tune neural network models and implement deep learning models such as LSTMs, and RNNs. Next, you'll explore probability distribution concepts using PyTorch, as well as supervised and unsupervised algorithms with PyTorch. This is followed by a deep dive on building models with convolutional neural networks, deep neural networks, and recurrent neural networks using PyTorch. This new edition covers also topics such as Scorch, a compatible module equivalent to the Scikit machine learning library, model quantization to reduce parameter size, and preparing a model for deployment within a production system. Distributed parallel processing for balancing PyTorch workloads, using PyTorch for image processing, audio analysis, and model interpretation are also covered in detail. Each chapter includes recipe code snippets to perform specific activities. By the end of this book, you will be able to confidently build neural network models using PyTorch. What You Will LearnUtilize new code snippets and models to train machine learning models using PyTorchTrain deep learning models with fewer and smarter implementationsExplore the PyTorch framework for model explainability and to bring transparency to model interpretationBuild, train, and deploy neural network models designed to scale with PyTorchUnderstand best practices for evaluating and fine-tuning models using PyTorchUse advanced torch features in training deep neural networksExplore various neural network models using PyTorchDiscover functions compatible with sci-kit learn compatible modelsPerform distributed PyTorch training and executionWho This Book Is ForMachine learning engineers, data scientists and Python programmers and software developers interested in learning the PyTorch framework.

DKK 434.00
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Data-Driven Alexa Skills - Simon A. Kingaby - Bog - APress - Plusbog.dk

Data-Driven Alexa Skills - Simon A. Kingaby - Bog - APress - Plusbog.dk

Design and build innovative, custom, data-driven Alexa skills for home or business. Working through several projects, this book teaches you how to build Alexa skills and integrate them with online APIs. If you have basic Python skills, this book will show you how to build data-driven Alexa skills. You will learn to use data to give your Alexa skills dynamic intelligence, in-depth knowledge, and the ability to remember. Data-Driven Alexa Skills takes a step-by-step approach to skill development. You will begin by configuring simple skills in the Alexa Skill Builder Console. Then you will develop advanced custom skills that use several Alexa Skill Development Kit features to integrate with lambda functions, Amazon Web Services (AWS), and Internet data feeds. These advanced skills enable you to link user accounts, query and store data using a NoSQL database, and access real estate listings and stock prices via web APIs. What You Will LearnSet up and configure your development environment properly the first timeBuild Alexa skills quickly and efficiently using Agile tools and techniquesCreate a variety of data-driven Alexa skills for home and businessAccess data from web applications and Internet data sources via their APIsTest with unit-testing frameworks throughout the development life cycleManage and query your data using the DynamoDb NoSQL database enginesWho This Book Is ForDevelopers who wish to go beyond Hello World and build complex, data-driven applications on Amazon's Alexa platform; developers who want to learn how to use Lambda functions, the Alexa Skills SDK, Alexa Presentation Language, and Alexa Conversations; developers interested in integrating with public APIs such as real estatelistings and stock market prices. Readers will need to have basic Python skills.

DKK 519.00
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Beginning C++ Compilers - Berik Tuleuov - Bog - APress - Plusbog.dk

Beginning C++ Compilers - Berik Tuleuov - Bog - APress - Plusbog.dk

This book focuses on how to install C/C++ compilers on Linux and Windows platforms in a timely and efficient way. Installing C/C++ compilers, especially Microsoft compilers, typically takes quite a lot of time because it comes with Microsoft Visual Studio for the vast majority of users. Installing Visual Studio requires usually about 40 GB of disk space and a large amount of RAM, so it is impossible to use weak hardware. The authors provide an easy way to deploy Microsoft C/C++ compiler: with no disk space headache and hardware resources lack. The method described saves significant time since software can even be deployed on removable devices, such as flash sticks, in an easy and portable way. It is achieved by using Enterprise Windows Driver Kit (EWDK), single big ISO image, which can be mounted as virtual device and used directly without any installation. EWDK contains everything from Visual Studio except IDE. EWDK also allows to use MASM64 (Microsoft Macro-Assembly) and C# compilers. With the aid of the MSBuild System, one can compile Visual Studio Projects (.vcxproj) and Solutions (.sln) without even using Visual Studio! Similarly, MinGW compilers can be deployed from 7z/zip archives, simply by unpacking into appropriate location. Both Microsoft C/C++ and MinGW compilers can be used as portable software—an approach that does not require administrative privileges at all. What you’ll learnRapid installation of modern Microsoft C/C++ and MinGW compilers. How to prepare reusable and portable Microsoft C/C++ and MinGW compilers suite on removable media (flash stick, CD/DVD). How to use Microsoft C/C++ and MinGW compilers even on old/slow computers without standard installation. How to build under Windows the libraries originally designed for Unix-systems. Learn to run multiple versions of these compilers at the same time. Who This Book Is ForReader of all skills who wants to save time and efforts to start to work with C++. Also useful for scientists who are not familiar with software installation.

DKK 434.00
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