Filter
(found 16347 products)
Book cover image
This book constitutes the revised selected papers of the 11th International Symposium on Foundations and Practice of Security, FPS 2018, held in Montreal, QC, Canada, in March 2018. The 16 full papers, 1 short paper, 1 position paper and 2 invited papers presented in this book, were carefully reviewed and ...
Foundations and Practice of Security: 11th International Symposium, FPS 2018, Montreal, QC, Canada, November 13-15, 2018, Revised Selected Papers
This book constitutes the revised selected papers of the 11th International Symposium on Foundations and Practice of Security, FPS 2018, held in Montreal, QC, Canada, in March 2018. The 16 full papers, 1 short paper, 1 position paper and 2 invited papers presented in this book, were carefully reviewed and selected from 51 submissions. They cover a range of topics including mobile security; cloud security and big data; IoT security; software security, malware analysis, and vulnerability detection; cryptography; cyber physical security and hardware security; and access control.
https://magrudy-assets.storage.googleapis.com/9783030184186.jpg
83.990000 USD

Foundations and Practice of Security: 11th International Symposium, FPS 2018, Montreal, QC, Canada, November 13-15, 2018, Revised Selected Papers

Paperback / softback
Book cover image
This Festschrift volume is published in honor of Catherine A. Meadows and contains essays presented at the Catherine Meadows Festschrift Symposium held in Fredericksburg, VA, USA, in May 2019. Catherine A. Meadows has been a pioneer in developing symbolic formal verification methods and tools. Her NRL Protocol Analyzer, a tool ...
Foundations of Security, Protocols, and Equational Reasoning: Essays Dedicated to Catherine A. Meadows
This Festschrift volume is published in honor of Catherine A. Meadows and contains essays presented at the Catherine Meadows Festschrift Symposium held in Fredericksburg, VA, USA, in May 2019. Catherine A. Meadows has been a pioneer in developing symbolic formal verification methods and tools. Her NRL Protocol Analyzer, a tool and methodology that embodies symbolic model checking techniques, has been fruitfully applied to the analysis of many protocols and protocol standards and has had an enormous influence in the field. She also developed a new temporal logic to specify protocol properties, as well as new methods for analyzing various kinds of properties beyond secrecy such as authentication and resilience under Denial of Service (DoS) attacks and has made important contributions in other areas such as wireless protocol security, intrusion detection, and the relationship between computational and symbolic approaches to cryptography. This volume contains 14 contributions authored by researchers from Europe and North America. They reflect on the long-term evolution and future prospects of research in cryptographic protocol specification and verification.
https://magrudy-assets.storage.googleapis.com/9783030190514.jpg
73.490000 USD

Foundations of Security, Protocols, and Equational Reasoning: Essays Dedicated to Catherine A. Meadows

Paperback / softback
Book cover image
What sets Laravel apart from other PHP web frameworks? Speed and simplicity, for starters. This rapid application development framework and its vast ecosystem of tools let you quickly build new sites and applications with clean, readable code. Fully updated to cover Laravel 5.8, the latest release, the second edition of ...
Laravel: Up & Running: A Framework for Building Modern PHP Apps
What sets Laravel apart from other PHP web frameworks? Speed and simplicity, for starters. This rapid application development framework and its vast ecosystem of tools let you quickly build new sites and applications with clean, readable code. Fully updated to cover Laravel 5.8, the latest release, the second edition of this practical guide provides the definitive introduction to one of today's most popular web frameworks. Matt Stauffer--a leading teacher and developer in the Laravel community--delivers a high-level overview and concrete examples to help experienced PHP web developers get started with Laravel right away. By the time you reach the last page, you should feel comfortable writing an entire application in Laravel from scratch.
https://magrudy-assets.storage.googleapis.com/9781492041214.jpg
68.24 USD

Laravel: Up & Running: A Framework for Building Modern PHP Apps

by Matt Stauffer
Paperback / softback
Book cover image
Any programmer working in a dynamically typed language will tell you how hard it is to scale that language to more lines of code and to more engineers. That's why Facebook, Google, and Microsoft invented gradual static type layers for their dynamically typed JavaScript and Python code. TypeScript is one ...
Programming TypeScript: Making Your JavaScript Applications Scale
Any programmer working in a dynamically typed language will tell you how hard it is to scale that language to more lines of code and to more engineers. That's why Facebook, Google, and Microsoft invented gradual static type layers for their dynamically typed JavaScript and Python code. TypeScript is one such type layer, and does something unique among them: it makes programming fun with its powerful, modern, static type system. With this book, programmers who understand JavaScript at an intermediate level will learn how to master the TypeScript language. You'll understand how TypeScript can help you get rid of bugs in your code, scale your code across 10x more engineers, and make programming fun again.
https://magrudy-assets.storage.googleapis.com/9781492037651.jpg
68.24 USD

Programming TypeScript: Making Your JavaScript Applications Scale

by Boris Cherny
Paperback / softback
Book cover image
Gain the knowledge of various deep neural network architectures and their application areas to conquer your NLP issues. Key Features Gain insights into the basic building blocks of natural language processing Learn how to select the best deep neural network to solve your NLP problems Explore convolutional and recurrent neural ...
Deep Learning for Natural Language Processing: Solve your natural language processing problems with smart deep neural networks
Gain the knowledge of various deep neural network architectures and their application areas to conquer your NLP issues. Key Features Gain insights into the basic building blocks of natural language processing Learn how to select the best deep neural network to solve your NLP problems Explore convolutional and recurrent neural networks and long short-term memory networks Book DescriptionApplying deep learning approaches to various NLP tasks can take your computational algorithms to a completely new level in terms of speed and accuracy. Deep Learning for Natural Language Processing starts off by highlighting the basic building blocks of the natural language processing domain. The book goes on to introduce the problems that you can solve using state-of-the-art neural network models. After this, delving into the various neural network architectures and their specific areas of application will help you to understand how to select the best model to suit your needs. As you advance through this deep learning book, you'll study convolutional, recurrent, and recursive neural networks, in addition to covering long short-term memory networks (LSTM). Understanding these networks will help you to implement their models using Keras. In the later chapters, you will be able to develop a trigger word detection application using NLP techniques such as attention model and beam search. By the end of this book, you will not only have sound knowledge of natural language processing but also be able to select the best text pre-processing and neural network models to solve a number of NLP issues. What you will learn Understand various pre-processing techniques for deep learning problems Build a vector representation of text using word2vec and GloVe Create a named entity recognizer and parts-of-speech tagger with Apache OpenNLP Build a machine translation model in Keras Develop a text generation application using LSTM Build a trigger word detection application using an attention model Who this book is forIf you're an aspiring data scientist looking for an introduction to deep learning in the NLP domain, this is just the book for you. Strong working knowledge of Python, linear algebra, and machine learning is a must.
https://magrudy-assets.storage.googleapis.com/9781838550295.jpg
41.990000 USD

Deep Learning for Natural Language Processing: Solve your natural language processing problems with smart deep neural networks

by Monicah Wambugu, Tanuj Jain, Shubhangi Hora, Karthiek Reddy Bokka
Paperback / softback
Book cover image
Learn to create and customize impressive Drupal 8 modules to extend your website's functionalities Key Features Explore a plethora of Drupal 8 APIs and get the best out of them using the power of PHP coding Learn to implement efficient data management and data security by creating dedicated modules for ...
Drupal 8 Module Development: Build modules and themes using the latest version of Drupal 8, 2nd Edition
Learn to create and customize impressive Drupal 8 modules to extend your website's functionalities Key Features Explore a plethora of Drupal 8 APIs and get the best out of them using the power of PHP coding Learn to implement efficient data management and data security by creating dedicated modules for it. Stay up to date with the changes introduced in the new Drupal 8 releases Book DescriptionDrupal 8 comes with a release cycle that allows for new functionality to be added at a much faster pace. However, this also means code deprecations and changing architecture that you need to stay on top of. This book updates the first edition and includes the new functionality introduced in versions up to, and including 8.7. The book will first introduce you to the Drupal 8 architecture and its subsystems before diving into creating your first module with basic functionality. You will work with the Drupal logging and mailing systems, learn how to output data using the theme layer and work with menus and links programmatically. Then, you will learn how to work with different kinds of data storages, create custom entities, field types and leverage the Database API for lower level database queries. You will further see how to introduce JavaScript into your module, work with the various file systems and ensure the code you write works on multilingual sites. Finally, you will learn how to programmatically work with Views, write automated tests for your functionality and also write secure code in general. By the end, you will have learned how to develop your own custom module that can provide complex business solutions. And who knows, maybe you'll even contribute it back to the Drupal community. Foreword by Dries Buytaert, founder of Drupal. What you will learn Develop Drupal 8 modules that do all the things you want Master numerous Drupal 8 sub-systems and APIs in the process Model, store, manipulate and process data to serve your purposes Display data and content in a clean and secure way using the Drupal 8 theme system Test your business logic to prevent regressions Stay ahead of the curve and write code following the current best practices Who this book is forThe primary target of this book is Drupal developers who want to learn how to write modules and develop in Drupal 8. It is also intended for Drupal site builders and PHP developers who have basic Object Oriented Programming skills. A little bit of Symfony experience is helpful but not mandatory.
https://magrudy-assets.storage.googleapis.com/9781789612363.jpg
41.990000 USD

Drupal 8 Module Development: Build modules and themes using the latest version of Drupal 8, 2nd Edition

by Daniel Sipos
Paperback / softback
Book cover image
Discover how to use the popular RStudio IDE as a professional tool that includes code refactoring support, debugging, and Git version control integration. This book gives you a tour of RStudio and shows you how it helps you do exploratory data analysis; build data visualizations with ggplot; and create custom ...
Learn RStudio IDE: Quick, Effective, and Productive Data Science
Discover how to use the popular RStudio IDE as a professional tool that includes code refactoring support, debugging, and Git version control integration. This book gives you a tour of RStudio and shows you how it helps you do exploratory data analysis; build data visualizations with ggplot; and create custom R packages and web-based interactive visualizations with Shiny. In addition, you will cover common data analysis tasks including importing data from diverse sources such as SAS files, CSV files, and JSON. You will map out the features in RStudio so that you will be able to customize RStudio to fit your own style of coding. Finally, you will see how to save a ton of time by adopting best practices and using packages to extend RStudio. Learn RStudio IDE is a quick, no-nonsense tutorial of RStudio that will give you a head start to develop the insights you need in your data science projects. What You Will Learn Quickly, effectively, and productively use RStudio IDE for building data science applications Install RStudio and program your first Hello World application Adopt the RStudio workflow Make your code reusable using RStudio Use RStudio and Shiny for data visualization projects Debug your code with RStudio Import CSV, SPSS, SAS, JSON, and other data Who This Book Is For Programmers who want to start doing data science, but don't know what tools to focus on to get up to speed quickly.
https://magrudy-assets.storage.googleapis.com/9781484245101.jpg
29.390000 USD

Learn RStudio IDE: Quick, Effective, and Productive Data Science

by Matthew Campbell
Paperback / softback
Book cover image
If you're just learning how to program, Julia is an excellent JIT-compiled, dynamically typed language with a clean syntax. This hands-on guide uses Julia 1.0 to walk you through programming one step at a time, beginning with basic programming concepts before moving on to more advanced capabilities, such as creating ...
Think Julia: How to Think Like a Computer Scientist
If you're just learning how to program, Julia is an excellent JIT-compiled, dynamically typed language with a clean syntax. This hands-on guide uses Julia 1.0 to walk you through programming one step at a time, beginning with basic programming concepts before moving on to more advanced capabilities, such as creating new types and multiple dispatch. Designed from the beginning for high performance, Julia is a general-purpose language ideal for not only numerical analysis and computational science but also web programming and scripting. Through exercises in each chapter, you'll try out programming concepts as you learn them. Think Julia is perfect for students at the high school or college level as well as self-learners and professionals who need to learn programming basics. Start with the basics, including language syntax and semantics Get a clear definition of each programming concept Learn about values, variables, statements, functions, and data structures in a logical progression Discover how to work with files and databases Understand types, methods, and multiple dispatch Use debugging techniques to fix syntax, runtime, and semantic errors Explore interface design and data structures through case studies
https://magrudy-assets.storage.googleapis.com/9781492045038.jpg
68.24 USD

Think Julia: How to Think Like a Computer Scientist

by Allen B Downey, Ben Lauwens
Paperback / softback
Book cover image
Bring together the Python programming language and Microsoft's PowerShell to address digital investigations and create state-of-the-art solutions for administrators, IT personnel, cyber response teams, and forensic investigators. You will learn how to join PowerShell's robust set of commands and access to the internals of both the MS Windows desktop and ...
PowerShell and Python Together: Targeting Digital Investigations
Bring together the Python programming language and Microsoft's PowerShell to address digital investigations and create state-of-the-art solutions for administrators, IT personnel, cyber response teams, and forensic investigators. You will learn how to join PowerShell's robust set of commands and access to the internals of both the MS Windows desktop and enterprise devices and Python's rich scripting environment allowing for the rapid development of new tools for investigation, automation, and deep analysis. PowerShell and Python Together takes a practical approach that provides an entry point and level playing field for a wide range of individuals, small companies, researchers, academics, students, and hobbyists to participate. What You'll Learn Leverage the internals of PowerShell for: digital investigation, incident response, and forensics Leverage Python to exploit already existing PowerShell CmdLets and aliases to build new automation and analysis capabilities Create combined PowerShell and Python applications that provide: rapid response capabilities to cybersecurity events, assistance in the precipitous collection of critical evidence (from the desktop and enterprise), and the ability to analyze, reason about, and respond to events and evidence collected across the enterprise Who This Book Is For System administrators, IT personnel, incident response teams, forensic investigators, professors teaching in undergraduate and graduate programs in cybersecurity, students in cybersecurity and computer science programs, and software developers and engineers developing new cybersecurity defenses
https://magrudy-assets.storage.googleapis.com/9781484245033.jpg
34.640000 USD

PowerShell and Python Together: Targeting Digital Investigations

by Chet Hosmer
Paperback / softback
Book cover image
Get close and comfortable with Unity and build applications that run on HoloLens, Daydream, and Oculus Rift Key Features Build fun augmented reality applications using ARKit, ARCore, and Vuforia Explore virtual reality by developing more than 10 engaging projects Learn how to integrate AR and VR concepts together in a ...
Complete Virtual Reality and Augmented Reality Development with Unity: Leverage the power of Unity and become a pro at creating mixed reality applications
Get close and comfortable with Unity and build applications that run on HoloLens, Daydream, and Oculus Rift Key Features Build fun augmented reality applications using ARKit, ARCore, and Vuforia Explore virtual reality by developing more than 10 engaging projects Learn how to integrate AR and VR concepts together in a single application Book DescriptionUnity is the leading platform to develop mixed reality experiences because it provides a great pipeline for working with 3D assets. Using a practical and project-based approach, this Learning Path educates you about the specifics of AR and VR development using Unity 2018 and Unity 3D. You'll learn to integrate, animate, and overlay 3D objects on your camera feed, before moving on to implement sensor-based AR applications. You'll explore various concepts by creating an AR application using Vuforia for both macOS and Windows for Android and iOS devices. Next, you'll learn how to develop VR applications that can be experienced with devices, such as Oculus and Vive. You'll also explore various tools for VR development: gaze-based versus hand controller input, world space UI canvases, locomotion and teleportation, timeline animation, and multiplayer networking. You'll learn the Unity 3D game engine via the interactive Unity Editor and C# programming. By the end of this Learning Path, you'll be fully equipped to develop rich, interactive mixed reality experiences using Unity. This Learning Path includes content from the following Packt products: Unity Virtual Reality Projects - Second Edition by Jonathan Linowes Unity 2018 Augmented Reality Projects by Jesse Glover What you will learn Create 3D scenes to learn about world space and scale Move around your scenes using locomotion and teleportation Create filters or overlays that work with facial recognition software Interact with virtual objects using eye gaze, hand controllers, and user input events Design and build a VR storytelling animation with a soundtrack and timelines Create social VR experiences with Unity networking Who this book is forIf you are a game developer familiar with 3D computer graphics and interested in building your own AR and VR games or applications, then this Learning Path is for you. Any prior experience in Unity and C# will be an advantage. In all, this course teaches you the tools and techniques to develop engaging mixed reality applications.
https://magrudy-assets.storage.googleapis.com/9781838648183.jpg
52.490000 USD

Complete Virtual Reality and Augmented Reality Development with Unity: Leverage the power of Unity and become a pro at creating mixed reality applications

by Jonathan Linowes, Jesse Glover
Paperback / softback
Book cover image
Learn to design and build Virtual Reality experiences, applications, and games in Unreal Engine 4 through a series of practical, hands-on projects that teach you to create controllable avatars, user interfaces, and more. Key Features Learn about effective VR design and develop virtual reality games and applications for every VR ...
Unreal Engine 4 Virtual Reality Projects: Build immersive, real-world VR applications using UE4, C++, and Unreal Blueprints
Learn to design and build Virtual Reality experiences, applications, and games in Unreal Engine 4 through a series of practical, hands-on projects that teach you to create controllable avatars, user interfaces, and more. Key Features Learn about effective VR design and develop virtual reality games and applications for every VR platform Build essential features for VR such as player locomotion and interaction, 3D user interfaces, and 360 media players Learn about multiplayer networking and how to extend the engine using plugins and asset packs Book DescriptionUnreal Engine 4 (UE4) is a powerful tool for developing VR games and applications. With its visual scripting language, Blueprint, and built-in support for all major VR headsets, it's a perfect tool for designers, artists, and engineers to realize their visions in VR. This book will guide you step-by-step through a series of projects that teach essential concepts and techniques for VR development in UE4. You will begin by learning how to think about (and design for) VR and then proceed to set up a development environment. A series of practical projects follows, taking you through essential VR concepts. Through these exercises, you'll learn how to set up UE4 projects that run effectively in VR, how to build player locomotion schemes, and how to use hand controllers to interact with the world. You'll then move on to create user interfaces in 3D space, use the editor's VR mode to build environments directly in VR, and profile/optimize worlds you've built. Finally, you'll explore more advanced topics, such as displaying stereo media in VR, networking in Unreal, and using plugins to extend the engine. Throughout, this book focuses on creating a deeper understanding of why the relevant tools and techniques work as they do, so you can use the techniques and concepts learned here as a springboard for further learning and exploration in VR. What you will learn Understand design principles and concepts for building VR applications Set up your development environment with Unreal Blueprints and C++ Create a player character with several locomotion schemes Evaluate and solve performance problems in VR to maintain high frame rates Display mono and stereo videos in VR Extend Unreal Engine's capabilities using various plugins Who this book is forThis book is for anyone interested in learning to develop Virtual Reality games and applications using UE4. Developers new to UE4 will benefit from hands-on projects that guide readers through clearly-explained steps, while both new and experienced developers will learn crucial principles and techniques for VR development in UE4.
https://magrudy-assets.storage.googleapis.com/9781789132878.jpg
41.990000 USD

Unreal Engine 4 Virtual Reality Projects: Build immersive, real-world VR applications using UE4, C++, and Unreal Blueprints

by Robert Ruud, Kevin Mack
Paperback / softback
Book cover image
Leverage the power of reward-based training for your deep learning models with Python Key Features Understand Q-learning algorithms to train neural networks using Markov Decision Process (MDP) Study practical deep reinforcement learning using Q-Networks Explore state-based unsupervised learning for machine learning models Book DescriptionQ-learning is a machine learning algorithm used ...
Hands-On Q-Learning with Python: Practical Q-learning with OpenAI Gym, Keras, and TensorFlow
Leverage the power of reward-based training for your deep learning models with Python Key Features Understand Q-learning algorithms to train neural networks using Markov Decision Process (MDP) Study practical deep reinforcement learning using Q-Networks Explore state-based unsupervised learning for machine learning models Book DescriptionQ-learning is a machine learning algorithm used to solve optimization problems in artificial intelligence (AI). It is one of the most popular fields of study among AI researchers. This book starts off by introducing you to reinforcement learning and Q-learning, in addition to helping you get familiar with OpenAI Gym as well as libraries such as Keras and TensorFlow. A few chapters into the book, you will gain insights into modelfree Q-learning and use deep Q-networks and double deep Q-networks to solve complex problems. This book will guide you in exploring use cases such as self-driving vehicles and OpenAI Gym's CartPole problem. You will also learn how to tune and optimize Q-networks and their hyperparameters. As you progress, you will understand the reinforcement learning approach to solving real-world problems. You will also explore how to use Q-learning and related algorithms in real-world applications such as scientific research. Toward the end, you'll gain a sense of what's in store for reinforcement learning. By the end of this book, you will be equipped with the skills you need to solve reinforcement learning problems using Q-learning algorithms with OpenAI Gym, Keras, and TensorFlow. What you will learn Explore the fundamentals of reinforcement learning and the state-action-reward process Understand Markov decision processes Get well versed with libraries such as Keras, and TensorFlow Create and deploy model-free learning and deep Q-learning agents with TensorFlow, Keras, and OpenAI Gym Choose and optimize a Q-Network's learning parameters and fine-tune its performance Discover real-world applications and use cases of Q-learning Who this book is forIf you are a machine learning developer, engineer, or professional who wants to delve into the deep learning approach for a complex environment, then this is the book for you. Proficiency in Python programming and basic understanding of decision-making in reinforcement learning is assumed.
https://magrudy-assets.storage.googleapis.com/9781789345803.jpg
36.740000 USD

Hands-On Q-Learning with Python: Practical Q-learning with OpenAI Gym, Keras, and TensorFlow

by Nazia Habib
Paperback / softback
Book cover image
A problem-solution guide to encounter various NLP tasks utilizing Java open source libraries and cloud-based solutions Key Features Perform simple-to-complex NLP text processing tasks using modern Java libraries Extract relationships between different text complexities using a problem-solution approach Utilize cloud-based APIs to perform machine translation operations Book DescriptionNatural Language Processing ...
Natural Language Processing with Java Cookbook: Over 70 recipes to create linguistic and language translation applications using Java libraries
A problem-solution guide to encounter various NLP tasks utilizing Java open source libraries and cloud-based solutions Key Features Perform simple-to-complex NLP text processing tasks using modern Java libraries Extract relationships between different text complexities using a problem-solution approach Utilize cloud-based APIs to perform machine translation operations Book DescriptionNatural Language Processing (NLP) has become one of the prime technologies for processing very large amounts of unstructured data from disparate information sources. This book includes a wide set of recipes and quick methods that solve challenges in text syntax, semantics, and speech tasks. At the beginning of the book, you'll learn important NLP techniques, such as identifying parts of speech, tagging words, and analyzing word semantics. You will learn how to perform lexical analysis and use machine learning techniques to speed up NLP operations. With independent recipes, you will explore techniques for customizing your existing NLP engines/models using Java libraries such as OpenNLP and the Stanford NLP library. You will also learn how to use NLP processing features from cloud-based sources, including Google and Amazon's AWS. You will master core tasks, such as stemming, lemmatization, part-of-speech tagging, and named entity recognition. You will also learn about sentiment analysis, semantic text similarity, language identification, machine translation, and text summarization. By the end of this book, you will be ready to become a professional NLP expert using a problem-solution approach to analyze any sort of text, sentences, or semantic words. What you will learn Explore how to use tokenizers in NLP processing Implement NLP techniques in machine learning and deep learning applications Identify sentences within the text and learn how to train specialized NER models Learn how to classify documents and perform sentiment analysis Find semantic similarities between text elements and extract text from a variety of sources Preprocess text from a variety of data sources Learn how to identify and translate languages Who this book is forThis book is for data scientists, NLP engineers, and machine learning developers who want to perform their work on linguistic applications faster with the use of popular libraries on JVM machines. This book will help you build real-world NLP applications using a recipe-based approach. Prior knowledge of Natural Language Processing basics and Java programming is expected.
https://magrudy-assets.storage.googleapis.com/9781789801156.jpg
41.990000 USD

Natural Language Processing with Java Cookbook: Over 70 recipes to create linguistic and language translation applications using Java libraries

by Richard M. Reese
Paperback / softback
Book cover image
Build modern day application by implementing Material Design principles in React applications using Material-UI. Key Features Grasp the needs React components for UI elements Master the style and theme of the tools to go along with these components Get to grips with all the React best practices to build a ...
React Material-UI Cookbook: Build captivating user experiences using React and Material-UI
Build modern day application by implementing Material Design principles in React applications using Material-UI. Key Features Grasp the needs React components for UI elements Master the style and theme of the tools to go along with these components Get to grips with all the React best practices to build a modern application Book DescriptionMaterial-UI is a component library for rendering UI elements, using modern best practices from React and Material Design. This book will show you how you can create impressive and captivating modern day web apps by implementing Material Design considerations. The primary objective of this book is to help you use several Material-UI components to build larger UI functionality. We will also focus on React best practices in conjunction with Material-UI components - using state, context, and other new React 16.8 features properly. This book will start with layout and navigation and then dive into presenting the information with Material-UI components. It will then talk about the different components for user interactions. By the end of this book, you will know how to improve the look and feel of your applications using Material-UI components. What you will learn Learn to build the overall structure and navigation for your Material-UI app Learn to present simple and complex information in a variety of ways Build interactive and intuitive controls Design portable themes and styles for all of your Material-UI apps Group content into sections using tabs and expansion panels Learn how to design a general page layout with Material-UI grids Use lists for complex data, and cards for detailed information Who this book is forThey are JavaScript developers who have some basic knowledge of React and would want to implement Material Design principles in React applications using Material-UI. The reader wants to build a user interface using React components but doesn't want to invent their own style or UX framework.
https://magrudy-assets.storage.googleapis.com/9781789615227.jpg
41.990000 USD

React Material-UI Cookbook: Build captivating user experiences using React and Material-UI

by Adam Boduch
Paperback / softback
Book cover image
Explore new and more sophisticated tools that reduce your marketing analytics efforts and give you precise results Key Features Study new techniques for marketing analytics Explore uses of machine learning to power your marketing analyses Work through each stage of data analytics with the help of multiple examples and exercises ...
Data Science for Marketing Analytics: Achieve your marketing goals with the data analytics power of Python
Explore new and more sophisticated tools that reduce your marketing analytics efforts and give you precise results Key Features Study new techniques for marketing analytics Explore uses of machine learning to power your marketing analyses Work through each stage of data analytics with the help of multiple examples and exercises Book DescriptionData Science for Marketing Analytics covers every stage of data analytics, from working with a raw dataset to segmenting a population and modeling different parts of the population based on the segments. The book starts by teaching you how to use Python libraries, such as pandas and Matplotlib, to read data from Python, manipulate it, and create plots, using both categorical and continuous variables. Then, you'll learn how to segment a population into groups and use different clustering techniques to evaluate customer segmentation. As you make your way through the chapters, you'll explore ways to evaluate and select the best segmentation approach, and go on to create a linear regression model on customer value data to predict lifetime value. In the concluding chapters, you'll gain an understanding of regression techniques and tools for evaluating regression models, and explore ways to predict customer choice using classification algorithms. Finally, you'll apply these techniques to create a churn model for modeling customer product choices. By the end of this book, you will be able to build your own marketing reporting and interactive dashboard solutions. What you will learn Analyze and visualize data in Python using pandas and Matplotlib Study clustering techniques, such as hierarchical and k-means clustering Create customer segments based on manipulated data Predict customer lifetime value using linear regression Use classification algorithms to understand customer choice Optimize classification algorithms to extract maximal information Who this book is forData Science for Marketing Analytics is designed for developers and marketing analysts looking to use new, more sophisticated tools in their marketing analytics efforts. It'll help if you have prior experience of coding in Python and knowledge of high school level mathematics. Some experience with databases, Excel, statistics, or Tableau is useful but not necessary.
https://magrudy-assets.storage.googleapis.com/9781789959413.jpg
41.990000 USD

Data Science for Marketing Analytics: Achieve your marketing goals with the data analytics power of Python

by Pranshu Bhatnagar, Debasish Behera, Tommy Blanchard
Paperback / softback
Book cover image
Explore the power of D3.js 5 and its integration with web technologies for building rich and interactive data visualization solutions Key Features Explore the latest D3.js 5 for creating charts, plots, and force-directed graphics Practical guide for creating interactive graphics and data-driven apps with JavaScript Build Real-time visualization and transition ...
Learn D3.js: Create interactive data-driven visualizations for the web with the D3.js library
Explore the power of D3.js 5 and its integration with web technologies for building rich and interactive data visualization solutions Key Features Explore the latest D3.js 5 for creating charts, plots, and force-directed graphics Practical guide for creating interactive graphics and data-driven apps with JavaScript Build Real-time visualization and transition on web using SVG with D3.js Book DescriptionThis book is a practical hands-on introduction to D3 (Data-driven Documents): the most popular open-source JavaScript library for creating interactive web-based data visualizations. Based entirely on open web standards, D3 provides an integrated collection of tools for efficiently binding data to graphical elements. If you have basic knowledge of HTML, CSS and JavaScript you can use D3.js to create beautiful interactive web-based data visualizations. D3 is not a charting library. It doesn't contain any pre-defined chart types, but can be used to create whatever visual representations of data you can imagine. The goal of this book is to introduce D3 and provide a learning path so that you obtain a solid understanding of its fundamental concepts, learn to use most of its modules and functions, and gain enough experience to create your own D3 visualizations. You will learn how to create bar, line, pie and scatter charts, trees, dendograms, treemaps, circle packs, chord/ribbon diagrams, sankey diagrams, animated network diagrams, and maps using different geographical projections. Fundamental concepts are explained in each chapter and then applied to a larger example in step-by-step tutorials, complete with full code, from hundreds of examples you can download and run. This book covers D3 version 5 and is based on ES2015 JavaScript. What you will learn Learn to use D3.js version 5 and web standards to create beautiful interactive data-driven visualizations for the web Bind data to DOM elements, applying different scales, color schemes and configuring smooth animated transitions for data updates Generate data structures and layouts for many popular chart formats Apply interactive behaviors to any chart Create thematic maps based on GIS data using different geographical projections with interactive behaviors Load, parse and transform data from JSON and CSV formats Who this book is forThe book is intended for web developers, web designers, data scientists, artists, and any developer who wish to create interactive data visualization for the Web using D3. The book assumes basic knowledge of HTML, CSs, and JavaScript.
https://magrudy-assets.storage.googleapis.com/9781838645571.jpg
36.740000 USD

Learn D3.js: Create interactive data-driven visualizations for the web with the D3.js library

by Helder da Rocha
Paperback / softback
Book cover image
WebAssembly fulfills the long-awaited promise of web technologies: fast code, type-safe at compile time, execution in the browser, on embedded devices, or anywhere else. Rust delivers the power of C in a language that strictly enforces type safety. Combine both languages and you can write for the web like never ...
Programming WebAssembly with Rust
WebAssembly fulfills the long-awaited promise of web technologies: fast code, type-safe at compile time, execution in the browser, on embedded devices, or anywhere else. Rust delivers the power of C in a language that strictly enforces type safety. Combine both languages and you can write for the web like never before! Learn how to integrate with JavaScript, run code on platforms other than the browser, and take a step into IoT. Discover the easy way to build cross-platform applications without sacrificing power, and change the way you write code for the web. WebAssembly is more than just a revolutionary new technology. It's reshaping how we build applications for the web and beyond. Where technologies like ActiveX and Flash have failed, you can now write code in whatever language you prefer and compile to WebAssembly for fast, type-safe code that runs in the browser, on mobile devices, embedded devices, and more. Combining WebAssembly's portable, high-performance modules with Rust's safety and power is a perfect development combination. Learn how WebAssembly's stack machine architecture works, install low-level wasm tools, and discover the dark art of writing raw wast code. Build on that foundation and learn how to compile WebAssembly modules from Rust by implementing the logic for a checkers game. Create wasm modules in Rust to interoperate with JavaScript in many compelling ways. Apply your new skills to the world of non-web hosts, and create everything from an app running on a Raspberry Pi that controls a lighting system, to a fully-functioning online multiplayer game engine where developers upload their own arena-bound WebAssembly combat modules. Get started with WebAssembly today, and change the way you think about the web. What You Need: You'll need a Linux, Mac, or Windows workstation with an Internet connection. You'll need an up-to-date web browser that supports WebAssembly. To work with the sample code, you can use your favorite text editor or IDE. The book will guide you through installing the Rust and WebAssembly tools needed for each chapter.
https://magrudy-assets.storage.googleapis.com/9781680506365.jpg
63.12 USD

Programming WebAssembly with Rust

by Kevin Hoffman
Paperback / softback
Book cover image
Design and develop high-performance programs in Julia 1.0 Key Features Learn the characteristics of high-performance Julia code Use the power of the GPU to write efficient numerical code Speed up your computation with the help of newly introduced shared memory multi-threading in Julia 1.0 Book DescriptionJulia is a high-level, high-performance ...
Julia High Performance: Optimizations, distributed computing, multithreading, and GPU programming with Julia 1.0 and beyond, 2nd Edition
Design and develop high-performance programs in Julia 1.0 Key Features Learn the characteristics of high-performance Julia code Use the power of the GPU to write efficient numerical code Speed up your computation with the help of newly introduced shared memory multi-threading in Julia 1.0 Book DescriptionJulia is a high-level, high-performance dynamic programming language for numerical computing. If you want to understand how to avoid bottlenecks and design your programs for the highest possible performance, then this book is for you. The book starts with how Julia uses type information to achieve its performance goals, and how to use multiple dispatches to help the compiler emit high-performance machine code. After that, you will learn how to analyze Julia programs and identify issues with time and memory consumption. We teach you how to use Julia's typing facilities accurately to write high-performance code and describe how the Julia compiler uses type information to create fast machine code. Moving ahead, you'll master design constraints and learn how to use the power of the GPU in your Julia code and compile Julia code directly to the GPU. Then, you'll learn how tasks and asynchronous IO help you create responsive programs and how to use shared memory multithreading in Julia. Toward the end, you will get a flavor of Julia's distributed computing capabilities and how to run Julia programs on a large distributed cluster. By the end of this book, you will have the ability to build large-scale, high-performance Julia applications, design systems with a focus on speed, and improve the performance of existing programs. What you will learn Understand how Julia code is transformed into machine code Measure the time and memory taken by Julia programs Create fast machine code using Julia's type information Define and call functions without compromising Julia's performance Accelerate your code via the GPU Use tasks and asynchronous IO for responsive programs Run Julia programs on large distributed clusters Who this book is forThis book is for beginners and intermediate Julia programmers who are interested in high-performance technical programming. A basic knowledge of Julia programming is assumed.
https://magrudy-assets.storage.googleapis.com/9781788298117.jpg
31.490000 USD

Julia High Performance: Optimizations, distributed computing, multithreading, and GPU programming with Julia 1.0 and beyond, 2nd Edition

by Avik Sengupta
Paperback / softback
Book cover image
Go represents an attempt to improve on some weaknesses of traditional compiled programming languages. It de-emphasizes or removes error-prone language structures like class inheritance and exception handling. It features great concurrency support and automatic memory management (garbage collection). Existing Go books tend to be highly technical in nature, teaching all ...
Head First Go
Go represents an attempt to improve on some weaknesses of traditional compiled programming languages. It de-emphasizes or removes error-prone language structures like class inheritance and exception handling. It features great concurrency support and automatic memory management (garbage collection). Existing Go books tend to be highly technical in nature, teaching all aspects of the language regardless of their relevance to beginners. This book, rather than talking about the features of Go in abstract terms, features simple, clear examples that demonstrate Go in action, and diagrams to explain difficult concepts. This book will not only teach developers basic language features, it will get them comfortable consulting error output, documentation, and search engines to find solutions to problems. It will teach all the conventions and techniques that employers expect an entry-level Go developer to know.
https://magrudy-assets.storage.googleapis.com/9781491969557.jpg
81.89 USD

Head First Go

by Jay McGavren
Paperback / softback
Book cover image
Software developers work rhetorically to make meaning through the code they write. In some ways, writing code is like any other form of communication; in others, it proves to be new, exciting, and unique. In Rhetorical Code Studies, Kevin Brock explores how software code serves as meaningful communication through which ...
Rhetorical Code Studies: Discovering Arguments in and around Code
Software developers work rhetorically to make meaning through the code they write. In some ways, writing code is like any other form of communication; in others, it proves to be new, exciting, and unique. In Rhetorical Code Studies, Kevin Brock explores how software code serves as meaningful communication through which software developers construct arguments that are made up of logical procedures and express both implicit and explicit claims as to how a given program operates. Building on current scholarly work in digital rhetoric, software studies, and technical communication, Brock connects and continues ongoing conversations among rhetoricians, technical communicators, software studies scholars, and programming practitioners to demonstrate how software code and its surrounding discourse are highly rhetorical forms of communication. He considers examples ranging from large, well-known projects like Mozilla Firefox to small-scale programs like the FizzBuzz test common in many programming job interviews. Undertaking specific examinations of code texts as well as the contexts surrounding their composition, Brock illuminates the variety and depth of rhetorical activity taking place in and around code, from individual differences in style to changes in large-scale organizational and community norms. Rhetorical Code Studies holds significant implications for digital communication, multimodal composition, and the cultural analysis of software and its creation. It will interest academics and students of writing, rhetoric, and software engineering as well as technical communicators and developers of all types of software.
https://magrudy-assets.storage.googleapis.com/9780472131273.jpg
73.500000 USD

Rhetorical Code Studies: Discovering Arguments in and around Code

by Kevin Brock
Hardback
Book cover image
Classic Computer Science Problems in Python presents dozens of coding challenges, ranging from simple tasks like finding items in a list with a binary sort algorithm to clustering data using k-means. Classic Computer Science Problems in Python deepens your Python language skills by challenging you with time-tested scenarios, exercises, and ...
Classic Computer Science Problems in Python
Classic Computer Science Problems in Python presents dozens of coding challenges, ranging from simple tasks like finding items in a list with a binary sort algorithm to clustering data using k-means. Classic Computer Science Problems in Python deepens your Python language skills by challenging you with time-tested scenarios, exercises, and algorithms. As you work through examples in search, clustering, graphs, and more, you'll remember important things you've forgotten and discover classic solutions to your new problems Key Features * Breadth-first and depth-first search algorithms * Constraints satisfaction problems * Common techniques for graphs * Adversarial Search * Neural networks and genetic algorithms * Written for data engineers and scientists with experience using Python. For readers comfortable with the basics of Python About the technology Python is used everywhere for web applications, data munging, and powerful machine learning applications. Even problems that seem new or unique stand on the shoulders of classic algorithms, coding techniques, and engineering principles. Master these core skills, and you'll be ready to use Python for AI, data-centric programming, deep learning, and the other challenges you'll face as you grow your skill as a programmer. David Kopec teaches at Champlain College in Burlington, VT and is the author of Manning's Classic Computer Science Problemsin Swift.
https://magrudy-assets.storage.googleapis.com/9781617295980.jpg
41.990000 USD

Classic Computer Science Problems in Python

by David Kopec
Paperback / softback
Book cover image
Implement techniques such as image classification and natural language processing (NLP) by understanding the different neural network architectures Key Features Understand deep learning and how it can solve complex real-world problems Apply deep learning for image classification and text processing using neural networks Develop deep learning solutions for tasks such ...
Applied Deep Learning with PyTorch: Demystify neural networks with PyTorch
Implement techniques such as image classification and natural language processing (NLP) by understanding the different neural network architectures Key Features Understand deep learning and how it can solve complex real-world problems Apply deep learning for image classification and text processing using neural networks Develop deep learning solutions for tasks such as basic classification and solving style transfer problems Book DescriptionMachine learning is rapidly becoming the most preferred way of solving data problems, thanks to the huge variety of mathematical algorithms that find patterns, which are otherwise invisible to us. Applied Deep Learning with PyTorch takes your understanding of deep learning, its algorithms, and its applications to a higher level. The book begins by helping you browse through the basics of deep learning and PyTorch. Once you are well versed with the PyTorch syntax and capable of building a single-layer neural network, you will gradually learn to tackle more complex data problems by configuring and training a convolutional neural network (CNN) to perform image classification. As you progress through the chapters, you'll discover how you can solve an NLP problem by implementing a recurrent neural network (RNN). By the end of this book, you'll be able to apply the skills and confidence you've gathered along your learning process to use PyTorch for building deep learning solutions that can solve your business data problems. What you will learn Detect a variety of data problems to which you can apply deep learning solutions Learn the PyTorch syntax and build a single-layer neural network with it Build a deep neural network to solve a classification problem Develop a style transfer model Implement data augmentation and retrain your model Build a system for text processing using a recurrent neural network Who this book is forApplied Deep Learning with PyTorch is designed for data scientists, data analysts, and developers who want to work with data using deep learning techniques. Anyone looking to explore and implement advanced algorithms with PyTorch will also find this book useful. Some working knowledge of Python and familiarity with the basics of machine learning are a must. However, knowledge of NumPy and pandas will be beneficial, but not essential.
https://magrudy-assets.storage.googleapis.com/9781789804591.jpg
31.490000 USD

Applied Deep Learning with PyTorch: Demystify neural networks with PyTorch

by Hyatt Saleh
Paperback / softback
Book cover image
Solve complex business problems by understanding users better, finding the right problem to solve, and building lean event-driven systems to give your customers what they really want Key Features Apply DDD principles using modern tools such as EventStorming, Event Sourcing, and CQRS Learn how DDD applies directly to various architectural ...
Hands-On Domain-Driven Design with .NET Core: Tackling complexity in the heart of software by putting DDD principles into practice
Solve complex business problems by understanding users better, finding the right problem to solve, and building lean event-driven systems to give your customers what they really want Key Features Apply DDD principles using modern tools such as EventStorming, Event Sourcing, and CQRS Learn how DDD applies directly to various architectural styles such as REST, reactive systems, and microservices Empower teams to work flexibly with improved services and decoupled interactions Book DescriptionDevelopers across the world are rapidly adopting DDD principles to deliver powerful results when writing software that deals with complex business requirements. This book will guide you in involving business stakeholders when choosing the software you are planning to build for them. By figuring out the temporal nature of behavior-driven domain models, you will be able to build leaner, more agile, and modular systems. You'll begin by uncovering domain complexity and learn how to capture the behavioral aspects of the domain language. You will then learn about EventStorming and advance to creating a new project in .NET Core 2.1; you'll also and write some code to transfer your events from sticky notes to C#. The book will show you how to use aggregates to handle commands and produce events. As you progress, you'll get to grips with Bounded Contexts, Context Map, Event Sourcing, and CQRS. After translating domain models into executable C# code, you will create a frontend for your application using Vue.js. In addition to this, you'll learn how to refactor your code and cover event versioning and migration essentials. By the end of this DDD book, you will have gained the confidence to implement the DDD approach in your organization and be able to explore new techniques that complement what you've learned from the book. What you will learn Discover and resolve domain complexity together with business stakeholders Avoid common pitfalls when creating the domain model Study the concept of Bounded Context and aggregate Design and build temporal models based on behavior and not only data Explore benefits and drawbacks of Event Sourcing Get acquainted with CQRS and to-the-point read models with projections Practice building one-way flow UI with Vue.js Understand how a task-based UI conforms to DDD principles Who this book is forThis book is for .NET developers who have an intermediate level understanding of C#, and for those who seek to deliver value, not just write code. Intermediate level of competence in JavaScript will be helpful to follow the UI chapters.
https://magrudy-assets.storage.googleapis.com/9781788834094.jpg
41.990000 USD

Hands-On Domain-Driven Design with .NET Core: Tackling complexity in the heart of software by putting DDD principles into practice

by Alexey Zimarev
Paperback / softback
Book cover image
Explore modern game programming and rendering techniques to build games using C++ programming language and its popular libraries Key Features Learn how you can build basic 2D and complex 3D games with C++ Understand shadows, texturing, lighting, and rendering in 3D game development using OpenGL Uncover modern graphics programming techniques ...
C++ Game Development By Example: Learn to build games and graphics with SFML, OpenGL, and Vulkan using C++ programming
Explore modern game programming and rendering techniques to build games using C++ programming language and its popular libraries Key Features Learn how you can build basic 2D and complex 3D games with C++ Understand shadows, texturing, lighting, and rendering in 3D game development using OpenGL Uncover modern graphics programming techniques and GPU compute methods using the Vulkan API Book DescriptionAlthough numerous languages are currently being used to develop games, C++ remains the standard for fabricating expert libraries and tool chains for game development. This book introduces you to the world of game development with C++. C++ Game Development By Example starts by touching upon the basic concepts of math, programming, and computer graphics and creating a simple side-scrolling action 2D game. You'll build a solid foundation by studying basic game concepts such as creating game loops, rendering 2D game scenes using SFML, 2D sprite creation and animation, and collision detection. The book will help you advance to creating a 3D physics puzzle game using modern OpenGL and the Bullet physics engine. You'll understand the graphics pipeline, which entails creating 3D objects using vertex and index buffers and rendering them to the scene using vertex and fragment shaders. Finally, you'll create a basic project using the Vulkan library that'll help you get to grips with creating swap chains, image views, render passes, and frame buffers for building high-performance graphics in your games. By the end of this book, you'll be ready with 3 compelling projects created with SFML, the Vulkan API, and OpenGL, and you'll be able take your game and graphics programming skills to the next level. What you will learn Understand shaders and how to write a basic vertex and fragment shader Build a Visual Studio project and add SFML to it Discover how to create sprite animations and a game character class Add sound effects and background music to your game Grasp how to integrate Vulkan into Visual Studio Create shaders and convert them to the SPIR-V binary format Who this book is forIf you're a developer keen to learn game development with C++ or get up to date with game development, this book is for you. Some knowledge of C++ programming is assumed.
https://magrudy-assets.storage.googleapis.com/9781789535303.jpg
36.740000 USD

C++ Game Development By Example: Learn to build games and graphics with SFML, OpenGL, and Vulkan using C++ programming

by Siddharth Shekar
Paperback / softback
Book cover image
Learn how to write automated tests for Dynamics 365 Business Central and see how to implement it in your daily work Key Features Leverage automated testing to advance over traditional manual testing methods Write, design, and implement automated tests Explore various testing frameworks and tools compatible with Microsoft Dynamics 365 ...
Automated Testing in Microsoft Dynamics 365 Business Central: Efficiently automate test cases in Dynamics NAV and Business Central
Learn how to write automated tests for Dynamics 365 Business Central and see how to implement it in your daily work Key Features Leverage automated testing to advance over traditional manual testing methods Write, design, and implement automated tests Explore various testing frameworks and tools compatible with Microsoft Dynamics 365 Business Central Book DescriptionDynamics 365 Business Central is the new cloud-based SaaS ERP proposition from Microsoft. It's not as simple as it used to be way back when it was called Navigator, Navision Financials, or Microsoft Business Solutions-Navision. Our development practices are becoming more formal, and with this, the call for test automation is pressing on us. This book will teach you to leverage testing tools available with Dynamics 365 Business Central to perform automated testing. We'll begin with a quick introduction to automated testing, followed by an overview of test automation in Dynamics 365 Business Central. Then you'll learn to design and build automated tests and we'll go through some efficient methods to get from requirements to application and testing code. Lastly, you'll learn to incorporate your own and Microsoft tests into your daily development practice. By the end of the book, you'll be able to write your own automated tests for Dynamics 365 Business Central. What you will learn Understand what automated tests are, and when and why to use them Explore the five pillars of the Testability Framework of Business Central Design and write automated tests for Business Central Make use of standard automated tests and their helper libraries Integrate automated tests into your development practice Who this book is forThis book is for consultants, testers, developers, and development managers working with Microsoft Dynamics NAV and Business Central. Being a book on automated testing techniques, it also caters to both functional and technical development teams.
https://magrudy-assets.storage.googleapis.com/9781789804935.jpg
26.240000 USD

Automated Testing in Microsoft Dynamics 365 Business Central: Efficiently automate test cases in Dynamics NAV and Business Central

by Luc van Vugt
Paperback / softback
Book cover image
Learn how you can control LEDs, make music, and read sensor data using popular microcontrollers such as Adafruit Circuit Playground, ESP8266, and the BBC micro:bit Key Features Load and execute your first program with MicroPython Program an IoT device to retrieve weather data using a RESTful API Get to grips ...
MicroPython Cookbook: Over 110 practical recipes for programming embedded systems and microcontrollers with Python
Learn how you can control LEDs, make music, and read sensor data using popular microcontrollers such as Adafruit Circuit Playground, ESP8266, and the BBC micro:bit Key Features Load and execute your first program with MicroPython Program an IoT device to retrieve weather data using a RESTful API Get to grips with integrating hardware, programming, and networking concepts with MicroPython Book DescriptionMicroPython is an open source implementation of Python 3 that runs in embedded environments. With MicroPython, you can write clean and simple Python code to control hardware instead of using complex low-level languages like C and C++. This book guides you through all the major applications of the MicroPython platform to build and program projects that use microcontrollers. The MicroPython book covers recipes that'll help you experiment with the programming environment and hardware programmed in MicroPython. You'll find tips and techniques for building a variety of objects and prototypes that can sense and respond to touch, sound, position, heat, and light. This book will take you through the uses of MicroPython with a variety of popular input devices and sensors. You'll learn techniques for handling time delays and sensor readings, and apply advanced coding techniques to create complex projects. As you advance, you'll get to deal with Internet of Things (IoT) devices and integration with other online web services. Furthermore, you'll also use MicroPython to make music with bananas and create portable multiplayer video games that incorporate sound and light animations into the game play. By the end of the book, you'll have mastered tips and tricks to troubleshoot your development problems and push your MicroPython project to the next level! What you will learn Execute code without any need for compiling or uploading using REPL (read-evaluate-print-loop) Program and control LED matrix and NeoPixel drivers to display patterns and colors Build projects that make use of light, temperature, and touch sensors Configure devices to create Wi-Fi access points and use network modules to scan and connect to existing networks Use Pulse Width Modulation to control DC motors and servos Build an IoT device to display live weather data from the Internet at the touch of a button Who this book is forIf you want to build and program projects that use microcontrollers, this book will offer you dozens of recipes to guide you through all the major applications of the MicroPython platform. Although no knowledge of MicroPython or microcontrollers is expected, a general understanding of Python is necessary to get started with this book.
https://magrudy-assets.storage.googleapis.com/9781838649951.jpg
41.990000 USD

MicroPython Cookbook: Over 110 practical recipes for programming embedded systems and microcontrollers with Python

by Marwan Alsabbagh
Paperback / softback
Book cover image
This open access book constitutes the proceedings of the 28th European Symposium on Programming, ESOP 2019, which took place in Prague, Czech Republic, in April 2019, held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2019.
Programming Languages and Systems: 28th European Symposium on Programming, ESOP 2019, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2019, Prague, Czech Republic, April 6-11, 2019, Proceedings
This open access book constitutes the proceedings of the 28th European Symposium on Programming, ESOP 2019, which took place in Prague, Czech Republic, in April 2019, held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2019.
https://magrudy-assets.storage.googleapis.com/9783030171834.jpg
62.990000 USD

Programming Languages and Systems: 28th European Symposium on Programming, ESOP 2019, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2019, Prague, Czech Republic, April 6-11, 2019, Proceedings

Paperback / softback
Book cover image
Take the strategic and systematic approach to analyze data to solve business problems Key Features Gain detailed information about the theory of data science Augment your coding knowledge with practical data science techniques for efficient data analysis Learn practical ways to strategically and systematically use data Book DescriptionWe offer you ...
Principles of Strategic Data Science: Creating value from data, big and small
Take the strategic and systematic approach to analyze data to solve business problems Key Features Gain detailed information about the theory of data science Augment your coding knowledge with practical data science techniques for efficient data analysis Learn practical ways to strategically and systematically use data Book DescriptionWe offer you Packt Select - a new, selective range of books on unique topics. We have identified and acquired these books and made it available to you through our brand. These books provides a smooth learning experience using real-world examples and best practices. Principles of Strategic Data Science is created to help you join the dots between mathematics, programming, and business analysis. With a unique approach that bridges the gap between mathematics and computer science, this book takes you through the entire data science pipeline. The book begins by explaining what data science is and how organizations can use it to revolutionize the way they use their data. It then discusses the criteria for the soundness of data products and how to best visualize information. As you progress, you'll discover the strategic aspects of data science by learning the five-phase framework that enables you to enhance the value you extract from data. The final chapter of the book discusses the role of a data science manager in helping an organization take the data-driven approach. By the end of this book, you'll have a good understanding of data science and how it can enable you to extract value from your data. What you will learn Get familiar with the five most important steps of data science Use the Conway diagram to visualize the technical skills of the data science team Understand the limitations of data science from a mathematical and ethical perspective Get a quick overview of machine learning Gain insight into the purpose of using data science in your work Understand the role of data science managers and their expectations Who this book is forThis book is ideal for data scientists and data analysts who are looking for a practical guide to strategically and systematically use data. This book is also useful for those who want to understand in detail what is data science and how can an organization take te data-driven approach. Prior programming knowledge of Python and R is assumed.
https://magrudy-assets.storage.googleapis.com/9781838985295.jpg
26.240000 USD

Principles of Strategic Data Science: Creating value from data, big and small

by Peter Prevos
Paperback / softback
Book cover image
Planning is the branch of Artificial Intelligence (AI) that seeks to automate reasoning about plans, most importantly the reasoning that goes into formulating a plan to achieve a given goal in a given situation. AI planning is model-based: a planning system takes as input a description (or model) of the ...
An Introduction to the Planning Domain Definition Language
Planning is the branch of Artificial Intelligence (AI) that seeks to automate reasoning about plans, most importantly the reasoning that goes into formulating a plan to achieve a given goal in a given situation. AI planning is model-based: a planning system takes as input a description (or model) of the initial situation, the actions available to change it, and the goal condition to output a plan composed of those actions that will accomplish the goal when executed from the initial situation.The Planning Domain Definition Language (PDDL) is a formal knowledge representation language designed to express planning models. Developed by the planning research community as a means of facilitating systems comparison, it has become a de-facto standard input language of many planning systems, although it is not the only modelling language for planning. Several variants of PDDL have emerged that capture planning problems of different natures and complexities, with a focus on deterministic problems. The purpose of this book is two-fold. First, we present a unified and current account of PDDL, covering the subsets of PDDL that express discrete, numeric, temporal, and hybrid planning. Second, we want to introduce readers to the art of modelling planning problems in this language, through educational examples that demonstrate how PDDL is used to model realistic planning problems. The book is intended for advanced students and researchers in AI who want to dive into the mechanics of AI planning, as well as those who want to be able to use AI planning systems without an in-depth explanation of the algorithms and implementation techniques they use.
https://magrudy-assets.storage.googleapis.com/9781627058759.jpg
73.450000 USD

An Introduction to the Planning Domain Definition Language

by Christian Muise, Daniele Magazzeni, Nir Lipovetzky, Patrik Haslum
Paperback / softback
Book cover image
The Kotlin programming language offers an expressive syntax, an intuitive type system, and support for a host of tools for users. The Joy of Kotlin teaches readers the right way to code in Kotlin. This insight-rich book covers everything needed to master the Kotlin language while exploring coding techniques that ...
The Joy of Kotlin
The Kotlin programming language offers an expressive syntax, an intuitive type system, and support for a host of tools for users. The Joy of Kotlin teaches readers the right way to code in Kotlin. This insight-rich book covers everything needed to master the Kotlin language while exploring coding techniques that will make readers better developers no matter what language they use. Key Features * Programming with functions * Dealing with optional data * Safe handling of errors and exceptions Audience Written for intermediate Java or Kotlin developers. Author Bio Pierre-Yves Saumont is an R&D software engineer at Alcatel-Submarine Networks, where he has overseen the previous switch from C to Java, and now to Kotlin too. He has developed several fully functional libraries that are used by business developers. Pierre-Yves is the author of Functional Programming in Java.
https://magrudy-assets.storage.googleapis.com/9781617295362.jpg
52.490000 USD

The Joy of Kotlin

by Pierre-Yves Saumont Saumont
Paperback / softback
Page 1 of 40