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Hands-On Deep Learning for IoT: Train neural network models to develop intelligent IoT applications
by Md. Rezaul Karim Mohammad Abdur Razzaque, PhDImplement popular deep learning techniques to make your IoT applications smarter Key Features Understand how deep learning facilitates fast and accurate analytics in IoT Build intelligent voice and speech recognition apps in TensorFlow and Chainer Analyze IoT data for making automated decisions and efficient predictions Book Description Artificial Intelligence is growing quickly, which is driven by advancements in neural networks(NN) and deep learning (DL). With an increase in investments in smart cities, smart healthcare, and industrial Internet of Things (IoT), commercialization of IoT will soon be at peak in which massive amounts of data generated by IoT devices need to be processed at scale. Hands-On Deep Learning for IoT will provide deeper insights into IoT data, which will start by introducing how DL fits into the context of making IoT applications smarter. It then covers how to build deep architectures using TensorFlow, Keras, and Chainer for IoT. You'll learn how to train convolutional neural networks(CNN) to develop applications for image-based road faults detection and smart garbage separation, followed by implementing voice-initiated smart light control and home access mechanisms powered by recurrent neural networks(RNN). You'll master IoT applications for indoor localization, predictive maintenance, and locating equipment in a large hospital using autoencoders, DeepFi, and LSTM networks. Furthermore, you'll learn IoT application development for healthcare with IoT security enhanced. By the end of this book, you will have sufficient knowledge need to use deep learning efficiently to power your IoT-based applications for smarter decision making. What you will learn Get acquainted with different neural network architectures and their suitability in IoT Understand how deep learning can improve the predictive power in your IoT solutions Capture and process streaming data for predictive maintenance Select optimal frameworks for image recognition and indoor localization Analyze voice data for speech recognition in IoT applications Develop deep learning-based IoT solutions for healthcare Enhance security in your IoT solutions Visualize analyzed data to uncover insights and perform accurate predictions Who this book is for If you're an IoT developer, data scientist, or deep learning enthusiast who wants to apply deep learning techniques to build smart IoT applications, this book is for you. Familiarity with machine learning, a basic understanding of the IoT concepts, and some experience in Python programming will help you get the most out of this book.
R Programming Fundamentals: Deal with data using various modeling techniques
by Kaelen MedeirosStudy data analysis and visualization to successfully analyze data with RKey FeaturesGet to grips with data cleaning methodsExplore statistical concepts and programming in R, including best practicesBuild a data science project with real-world examplesBook DescriptionR Programming Fundamentals, focused on R and the R ecosystem, introduces you to the tools for working with data. To start with, you’ll understand you how to set up R and RStudio, followed by exploring R packages, functions, data structures, control flow, and loops.Once you have grasped the basics, you’ll move on to studying data visualization and graphics. You’ll learn how to build statistical and advanced plots using the powerful ggplot2 library. In addition to this, you’ll discover data management concepts such as factoring, pivoting, aggregating, merging, and dealing with missing values.By the end of this book, you’ll have completed an entire data science project of your own for your portfolio or blog.What you will learnUse basic programming concepts of R such as loading packages, arithmetic functions, data structures, and flow controlImport data to R from various formats such as CSV, Excel, and SQLClean data by handling missing values and standardizing fieldsPerform univariate and bivariate analysis using ggplot2Create statistical summary and advanced plots such as histograms, scatter plots, box plots, and interaction plotsApply data management techniques, such as factoring, pivoting, aggregating, merging, and dealing with missing values, on the example datasetsWho this book is forR Programming Fundamentals is for you if you are an analyst who wants to grow in the field of data science and explore the latest tools.
Hands-On Machine Learning with IBM Watson: Leverage IBM Watson to implement machine learning techniques and algorithms using Python
by James MillerThis book is for Data Scientists and Machine Learning Engineers who would like to get introduced to the IBM Cloud and its Machine learning services using practical examples. Basic Python knowledge and limited understanding of Machine Learning will be beneficial.
VBA Automation Cookbook: Solutions to automate routine tasks and increase productivity with Excel and other MS Office applications
by Mike Van NiekerkThis book is for anyone who wants to learn VBA to automate repetitive, tedious, or complex tasks. No prior programming experience is required to get started with this book.
Implementing Azure DevOps Solutions: Learn about Azure DevOps Services to successfully apply DevOps strategies
by Henry Been Maik Van GaagThis book targets software developers and operations specialists interested in implementing DevOps practices for the Azure cloud. Application developers and IT professionals with some experience in software development and development practices would find this book useful. Some familiarity with basic usage of Azure DevOps is an added advantage.
Mastering PyTorch: Build powerful neural network architectures using advanced PyTorch 1.x features
by Ashish Ranjan Jha Dr. Gopinath PillaiMaster advanced techniques and algorithms for deep learning with PyTorch using real-world examplesKey FeaturesUnderstand how to use PyTorch 1.x to build advanced neural network modelsLearn to perform a wide range of tasks by implementing deep learning algorithms and techniquesGain expertise in domains such as computer vision, NLP, Deep RL, Explainable AI, and much moreBook DescriptionDeep learning is driving the AI revolution, and PyTorch is making it easier than ever before for anyone to build deep learning applications. This PyTorch book will help you uncover expert techniques to get the most out of your data and build complex neural network models. The book starts with a quick overview of PyTorch and explores using convolutional neural network (CNN) architectures for image classification. You'll then work with recurrent neural network (RNN) architectures and transformers for sentiment analysis. As you advance, you'll apply deep learning across different domains, such as music, text, and image generation using generative models and explore the world of generative adversarial networks (GANs). You'll not only build and train your own deep reinforcement learning models in PyTorch but also deploy PyTorch models to production using expert tips and techniques. Finally, you'll get to grips with training large models efficiently in a distributed manner, searching neural architectures effectively with AutoML, and rapidly prototyping models using PyTorch and fast.ai. By the end of this PyTorch book, you'll be able to perform complex deep learning tasks using PyTorch to build smart artificial intelligence models.What you will learnImplement text and music generating models using PyTorchBuild a deep Q-network (DQN) model in PyTorchExport universal PyTorch models using Open Neural Network Exchange (ONNX)Become well-versed with rapid prototyping using PyTorch with fast.aiPerform neural architecture search effectively using AutoMLEasily interpret machine learning (ML) models written in PyTorch using CaptumDesign ResNets, LSTMs, Transformers, and more using PyTorchFind out how to use PyTorch for distributed training using the torch.distributed APIWho this book is forThis book is for data scientists, machine learning researchers, and deep learning practitioners looking to implement advanced deep learning paradigms using PyTorch 1.x. Working knowledge of deep learning with Python programming is required.
Microsoft Dynamics NAV Development Quick Start Guide: Get up and running with Microsoft Dynamics NAV
by Alexander DroginLearn development skills and improve productivity when programming in Microsoft Dynamics NAV 2018 - the popular Enterprise Resourse Planning management system used across a variety of industries for business process management Key Features Solve common business problems with the valuable features and flexibility of Dynamics NAV Understand the structure of NAV database - how documents and business entities are mapped to DB tables Design user interface and bind the presentation layer with the data storage Book Description Microsoft Dynamics NAV is an enterprise resource planning (ERP) software suite for organizations. The system offers specialized functionality for manufacturing, distribution, government, retail, and other industries. This book gets you started with its integrated development environment for solving problems by customizing business processes. This book introduces the NAV development environment – C/SIDE. It gives an overview of the internal system language and the most essential development tools. The book will enable the reader to customize and extend NAV functionality with C/AL code, design a user interface through pages, create role centers, and build advanced reports in Microsoft Visual Studio. By the end of the book, you will have learned how to extend the NAV data model, how to write and debug custom code, and how to exchange data with external applications. What you will learn Manage NAV Server configuration with Microsoft Management Console Manage NAV installation with the NAV Administration Shell Create integration events and extend functionality via the NAV event model Run XML Ports from C/AL code Design reports and write client code in RDLC expressions Who this book is for This book is for experienced NAV users who have an understanding of basic programming concepts. Familiarity with NAV development environment or its internal development language-C/AL is not expected.
Azure Serverless Computing Cookbook - Second Edition: Build and monitor Azure applications hosted on serverless architecture using Azure Functions, 2nd Edition
by S Praveen KumarIf you are a cloud administrator, architect, or developer who wants to build scalable systems and deploy serverless applications with Azure functions, then this book is for you. Hands-on experience with core services of Microsoft Azure is required.
Python 3 Object-Oriented Programming: Build robust and maintainable software with object-oriented design patterns in Python 3.8, 3rd Edition
by Dusty PhillipsIf you're new to object-oriented programming techniques, or if you have basic Python skills and wish to learn in depth how and when to correctly apply OOP in Python, this is the book for you. If you are an object-oriented programmer for other languages or seeking a leg up in the new world of Python 3.8, you too will find this book a useful introduction to Python. Previous experience with Python 3 is not necessary.
Getting Started with SketchUp Pro: Embark on your 3D modeling adventure with expert tips, tricks, and best practices
by David S. SellersLevel up your 3D design skills with SketchUp Pro by employing real-world examples and design guidelinesPurchase of the print or Kindle book includes a free PDF eBookKey FeaturesPut your architectural design knowledge to work by exploring practical examplesGain a deeper understanding of SketchUp's GUI, modeling tools, and editing featuresExecute full design creations with detailed steps without getting overwhelmed by SketchUp's advanced functionalitiesBook DescriptionOwing to its ability to create models quickly and with high level of dimensional accuracy, SketchUp Pro has become a popular choice for many industries, including architecture, interior design, landscape architecture, and video game design. If you are seeking to adopt Trimble's exceptional design software, Getting Started with SketchUp Pro serves as an ideal primer to prepare and equip you for its use. This book will help you lay the foundation of a project from scratch, set up appropriate units, and follow a guided path to structure your 3D models. You'll explore the workflows used for creating designs from sketches, making CAD drawings (DWG), and even updating your existing 3D models. Finally, you'll work with extensions and 3D Warehouse to find new workflows and models to add to your skill set. By the end of this SketchUp book, you'll be able to confidently create and share models of your design through CAD drawings and 3D views, and even take them online through the 3D WarehouseWhat you will learnBuild massing 3D models and preliminary designsIdentify optimal methods to boost productivity and efficiency with SketchUp ProExplore SketchUp tools and understand their diverse functionalityGet a complete walkthrough of editing tools, materials, and components in SketchUpCreate and edit components and explore component optionsGet acquainted with SketchUp extensions, 3D Warehouse, and additional tools and resourcesWho this book is forThis book is for architects, landscape architects, interior designers, woodworkers, and 3D modelers with beginner-level knowledge of the architectural design of living spaces. Basic computer skills are all you need to get started.
Mastering Docker Enterprise: A companion guide for agile container adoption
by Mark PanthoferA journey toward containerized applications in production with a cloud-portable, secure, robust and highly available Docker Enterprise platform. Key Features Get an insider's view into the container movement and Docker Enterprise Manage the transformation associated with enterprise container adoption Walk through the enterprise container adoption journey Book Description While known mostly as the open source engine behind tens of millions of server nodes, Docker also offers commercially supported enterprise tooling known as the Docker Enterprise. This platform leverages the deep roots from Docker Engine - Community (formerly Docker CE) and Kubernetes, but adds support and tooling to efficiently operate a secure container platform at scale. With hundreds of enterprises on board, best practices and adoption patterns are emerging rapidly. These learning points can be used to inform adopters and help manage the enterprise transformation associated with enterprise container adoption. This book starts by explaining the case for Docker Enterprise, as well as its structure and reference architecture. From there, we progress through the PoC,pilot and production stages as a working model for adoption, evolving the platform's design and configuration for each stage and using detailed application examples along the way to clarify and demonstrate important concepts.The book concludes with Docker's impact on other emerging software technologies, such as Blockchain and Serverless computing. By the end of this book, you'll have a better understanding of what it takes to get your enterprise up and running with Docker Enterprise and beyond. What you will learn Understand why containers are important to an enterprise Understand the features and components of Docker Enterprise 2 Find out about the PoC, pilot, and production adoption phases Get to know the best practices for installing and operating Docker Enterprise Understand what is important for a Docker Enterprise in production Run Kubernetes on Docker Enterprise Who this book is for This book is for Software Architects, DevOps Engineers, Tech Ops, Docker professionals, or any IT professional working with Docker and containers who wants to move containerized workloads to production. This book discusses the enterprise adoption of Docker and Kubernetes,therefore a basic understanding of Docker concepts will be helpful.
Python for Finance Cookbook: Over 50 recipes for applying modern Python libraries to financial data analysis
by Eryk LewinsonSolve common and not-so-common financial problems using Python libraries such as NumPy, SciPy, and pandas Key Features Use powerful Python libraries such as pandas, NumPy, and SciPy to analyze your financial data Explore unique recipes for financial data analysis and processing with Python Estimate popular financial models such as CAPM and GARCH using a problem-solution approach Book Description Python is one of the most popular programming languages used in the financial industry, with a huge set of accompanying libraries. In this book, you'll cover different ways of downloading financial data and preparing it for modeling. You'll calculate popular indicators used in technical analysis, such as Bollinger Bands, MACD, RSI, and backtest automatic trading strategies. Next, you'll cover time series analysis and models, such as exponential smoothing, ARIMA, and GARCH (including multivariate specifications), before exploring the popular CAPM and the Fama-French three-factor model. You'll then discover how to optimize asset allocation and use Monte Carlo simulations for tasks such as calculating the price of American options and estimating the Value at Risk (VaR). In later chapters, you'll work through an entire data science project in the financial domain. You'll also learn how to solve the credit card fraud and default problems using advanced classifiers such as random forest, XGBoost, LightGBM, and stacked models. You'll then be able to tune the hyperparameters of the models and handle class imbalance. Finally, you'll focus on learning how to use deep learning (PyTorch) for approaching financial tasks. By the end of this book, you'll have learned how to effectively analyze financial data using a recipe-based approach. What you will learn Download and preprocess financial data from different sources Backtest the performance of automatic trading strategies in a real-world setting Estimate financial econometrics models in Python and interpret their results Use Monte Carlo simulations for a variety of tasks such as derivatives valuation and risk assessment Improve the performance of financial models with the latest Python libraries Apply machine learning and deep learning techniques to solve different financial problems Understand the different approaches used to model financial time series data Who this book is for This book is for financial analysts, data analysts, and Python developers who want to learn how to implement a broad range of tasks in the finance domain. Data scientists looking to devise intelligent financial strategies to perform efficient financial analysis will also find this book useful. Working knowledge of the Python programming language is mandatory to grasp the concepts covered in the book effectively.
Python Machine Learning By Example - Second Edition: Implement machine learning algorithms and techniques to build intelligent systems, 2nd Edition
by Yuxi (Hayden) LiuThis book is for Machine Learning Aspirants, Data Analysts, Data Engineers who are highly passionate about Machine Learning and wants to start getting employed in Machine Learning assignments. Prior knowledge of python coding is assumed and basic familiarity with the statistical concept is beneficial although not a mandate
OpenCV 4 with Python Blueprints: Build creative computer vision projects with the latest version of OpenCV 4 and Python 3, 2nd Edition
by Michael Beyeler Dr. Menua Gevorgyan Arsen MamikonyanGet to grips with traditional computer vision algorithms and deep learning approaches, and build real-world applications with OpenCV and other machine learning frameworks Key Features Understand how to capture high-quality image data, detect and track objects, and process the actions of animals or humans Implement your learning in different areas of computer vision Explore advanced concepts in OpenCV such as machine learning, artificial neural network, and augmented reality Book Description OpenCV is a native cross-platform C++ library for computer vision, machine learning, and image processing. It is increasingly being adopted in Python for development. This book will get you hands-on with a wide range of intermediate to advanced projects using the latest version of the framework and language, OpenCV 4 and Python 3.8, instead of only covering the core concepts of OpenCV in theoretical lessons. This updated second edition will guide you through working on independent hands-on projects that focus on essential OpenCV concepts such as image processing, object detection, image manipulation, object tracking, and 3D scene reconstruction, in addition to statistical learning and neural networks. You'll begin with concepts such as image filters, Kinect depth sensor, and feature matching. As you advance, you'll not only get hands-on with reconstructing and visualizing a scene in 3D but also learn to track visually salient objects. The book will help you further build on your skills by demonstrating how to recognize traffic signs and emotions on faces. Later, you'll understand how to align images, and detect and track objects using neural networks. By the end of this OpenCV Python book, you'll have gained hands-on experience and become proficient at developing advanced computer vision apps according to specific business needs. What you will learn Generate real-time visual effects using filters and image manipulation techniques such as dodging and burning Recognize hand gestures in real-time and perform hand-shape analysis based on the output of a Microsoft Kinect sensor Learn feature extraction and feature matching to track arbitrary objects of interest Reconstruct a 3D real-world scene using 2D camera motion and camera reprojection techniques Detect faces using a cascade classifier and identify emotions in human faces using multilayer perceptrons Classify, localize, and detect objects with deep neural networks Who this book is for This book is for intermediate-level OpenCV users who are looking to enhance their skills by developing advanced applications. Familiarity with OpenCV concepts and Python libraries, and basic knowledge of the Python programming language are assumed.
Applied Data Visualization with R and ggplot2: Create useful, elaborate, and visually appealing plots
by Dr Tania MoulikDevelop informative and aesthetic visualizations that enable effective data analysis in less timeKey FeaturesDiscover structure of ggplot2, grammar of graphics, and geometric objectsStudy how to design and implement visualization from scratchExplore the advantages of using advanced plotsBook DescriptionApplied Data Visualization with R and ggplot2 introduces you to the world of data visualization by taking you through the basic features of ggplot2. To start with, you’ll learn how to set up the R environment, followed by getting insights into the grammar of graphics and geometric objects before you explore the plotting techniques.You’ll discover what layers, scales, coordinates, and themes are, and study how you can use them to transform your data into aesthetical graphs. Once you’ve grasped the basics, you’ll move on to studying simple plots such as histograms and advanced plots such as superimposing and density plots. You’ll also get to grips with plotting trends, correlations, and statistical summaries.By the end of this book, you’ll have created data visualizations that will impress your clients.What you will learnSet up the R environment, RStudio, and understand structure of ggplot2Distinguish variables and use best practices to visualize themChange visualization defaults to reveal more information about dataImplement the grammar of graphics in ggplot2 such as scales and facetingBuild complex and aesthetic visualizations with ggplot2 analysis methodsLogically and systematically explore complex relationshipsCompare variables in a single visual, with advanced plotting methodsWho this book is forApplied Data Visualization with R and ggplot2 is for you if you are a professional working with data and R. This book is also for students who want to enhance their data analysis skills by adding informative and professional visualizations. It is assumed that you know basics of the R language and its commands and objects.
Odoo 12 Development Cookbook: 190+ unique recipes to build effective enterprise and business applications, 3rd Edition
by Daniel Reis Holger Brunn Alexandre Fayolle Parth GajjarBuild customized solutions for your business using the latest features of Odoo 12 and PythonKey FeaturesGet up to speed with Odoo 12 to create custom and reusable modulesInterconnect your application with other systems by implementing web APIsUnderstand the mechanisms powering the Odoo framework and Odoo.sh to build robust enterprisesBook DescriptionOdoo is a powerful framework known for rapid application development. Its latest release, Odoo 12, introduces tons of new features. With this book, you’ll learn how to develop powerful Odoo applications from scratch, using all the latest features.This Odoo cookbook starts by covering Odoo installation and deployment on the server. Next, you’ll explore the Odoo framework with real-world examples. You’ll create a new Odoo module from the ground up and progress to advanced framework concepts. You’ll also learn how to modify existing applications, including Point of Sale (POS). This book is not just limited to backend development; the advanced JavaScript recipes for creating new views and widgets will help you build beautiful UI elements. As you move forward, you’ll gain insights into website development and become a quality Odoo developer by studying performance optimization, debugging, and automated tests. Finally, you’ll learn the latest concepts like multi-website, In-App Purchasing (IAP), Odoo.sh, and IoT Box.By the end of the book, you’ll have all the knowledge you need to build powerful Odoo applications. The development best practices used in this book will undoubtedly come handy when you are working with the Odoo framework.What you will learnDevelop a module in the Odoo framework and modify the existing flow of any applicationBuild dynamic websites with Odoo CMSCreate and modify backend JavaScript components in Odoo and POSConnect and access any object in Odoo via Remote Procedure Calls (RPC)Illustrate the different tools available in Odoo to implement business processes for your recordsImplement in-app purchase servicesManage, deploy, and test an Odoo instance with the PaaS Odoo.shConfigure IoT Box to add and upgrade Point of Sale (POS) hardwareWho this book is forIf you're a Python developer who wants to develop highly efficient business applications with the latest Odoo framework, or if you just want a solution guide for all your Odoo development issues, this book is for you. Some JavaScript programming and web development experience is necessary to get the most out of this book.
Learn TypeScript 3 by Building Web Applications: Gain a solid understanding of TypeScript, Angular, Vue, React, and NestJS
by Sebastien Dubois Alexis GeorgesLearn TypeScript and many of its features by building state of art web applications from scratch with the help of modern tooling, frameworks, and libraries Key Features Create modern Web applications to help businesses around the world benefit from better quality applications Learn the latest features of TypeScript 3 and use them wisely Explore TDD practices, OOP techniques, and industry best practices to create high-quality and modular apps Book Description TypeScript is a superset of the JavaScript programming language, giving developers a tool to help them write faster, cleaner JavaScript. With the help of its powerful static type system and other powerful tools and techniques it allows developers to write modern JavaScript applications. This book is a practical guide to learn the TypeScript programming language. It covers from the very basics to the more advanced concepts, while explaining many design patterns, techniques, frameworks, libraries and tools along the way. You will also learn a ton about modern web frameworks like Angular, Vue.js and React, and you will build cool web applications using those. This book also covers modern front-end development tooling such as Node.js, npm, yarn, Webpack, Parcel, Jest, and many others. Throughout the book, you will also discover and make use of the most recent additions of the language introduced by TypeScript 3 such as new types enforcing explicit checks, flexible and scalable ways of project structuring, and many more breaking changes. By the end of this book, you will be ready to use TypeScript in your own projects and will also have a concrete view of the current frontend software development landscape. What you will learn Understand and take advantage of TypeScript's powerful Type System Grasp the key concepts and features of Angular, React, Vue.js, and NestJS Handle asynchronous processes using Promises, async/await, Fetch, RxJS, and more Delve into REST, GraphQL and create APIs using Apollo Discover testing concepts, techniques, and tools like TDD, BDD, E2E, Jest Learn Object-Oriented and Functional Programming concepts and leverage those with TypeScript Explore design practices and patterns such as SOLID, MVC, DI and IoC, LoD, AOP, and more Who this book is for This book is for software developers who are willing to discover what TypeScript is and how to leverage it to write great quality software. Developers that are already familiar with TypeScript will find this book useful by learning the languages featured introduced by most recent releases. Basic knowledge of the JavaScript programming is expected.
Hands-On Ensemble Learning with Python: Build highly optimized ensemble machine learning models using scikit-learn and Keras
by George Kyriakides Konstantinos G. MargaritisCombine popular machine learning techniques to create ensemble models using Python Key Features Implement ensemble models using algorithms such as random forests and AdaBoost Apply boosting, bagging, and stacking ensemble methods to improve the prediction accuracy of your model Explore real-world data sets and practical examples coded in scikit-learn and Keras Book Description Ensembling is a technique of combining two or more similar or dissimilar machine learning algorithms to create a model that delivers superior predictive power. This book will demonstrate how you can use a variety of weak algorithms to make a strong predictive model. With its hands-on approach, you'll not only get up to speed on the basic theory but also the application of various ensemble learning techniques. Using examples and real-world datasets, you'll be able to produce better machine learning models to solve supervised learning problems such as classification and regression. Furthermore, you'll go on to leverage ensemble learning techniques such as clustering to produce unsupervised machine learning models. As you progress, the chapters will cover different machine learning algorithms that are widely used in the practical world to make predictions and classifications. You'll even get to grips with the use of Python libraries such as scikit-learn and Keras for implementing different ensemble models. By the end of this book, you will be well-versed in ensemble learning, and have the skills you need to understand which ensemble method is required for which problem, and successfully implement them in real-world scenarios. What you will learn Implement ensemble methods to generate models with high accuracy Overcome challenges such as bias and variance Explore machine learning algorithms to evaluate model performance Understand how to construct, evaluate, and apply ensemble models Analyze tweets in real time using Twitter's streaming API Use Keras to build an ensemble of neural networks for the MovieLens dataset Who this book is for This book is for data analysts, data scientists, machine learning engineers and other professionals who are looking to generate advanced models using ensemble techniques. An understanding of Python code and basic knowledge of statistics is required to make the most out of this book.
Blender 3D By Example: A project-based guide to learning the latest Blender 3D, EEVEE rendering engine, and Grease Pencil, 2nd Edition
by Oscar Baechler Xury GreerGet up and running with Blender 3D through a series of practical projects that will help you learn core concepts of 3D design like modeling, sculpting, materials, textures, lighting, and rigging using the latest features of Blender 2.83 Key Features Learn the basics of 3D design and navigate your way around the Blender interface Understand how 3D components work and how to create 3D content for your games Familiarize yourself with 3D Modeling, Texturing, Lighting, Rendering and Sculpting with Blender Book Description Blender is a powerful 3D creation package that supports every aspect of the 3D pipeline. With this book, you'll learn about modeling, rigging, animation, rendering, and much more with the help of some interesting projects. This practical guide, based on the Blender 2.83 LTS version, starts by helping you brush up on your basic Blender skills and getting you acquainted with the software toolset. You'll use basic modeling tools to understand the simplest 3D workflow by customizing a Viking themed scene. You'll get a chance to see the 3D modeling process from start to finish by building a time machine based on provided concept art. You will design your first 2D character while exploring the capabilities of the new Grease Pencil tools. The book then guides you in creating a sleek modern kitchen scene using EEVEE, Blender's new state-of-the-art rendering engine. As you advance, you'll explore a variety of 3D design techniques, such as sculpting, retopologizing, unwrapping, baking, painting, rigging, and animating to bring a baby dragon to life. By the end of this book, you'll have learned how to work with Blender to create impressive computer graphics, art, design, and architecture, and you'll be able to use robust Blender tools for your design projects and video games. What you will learn Explore core 3D modeling tools in Blender such as extrude, bevel, and loop cut Understand Blender's Outliner hierarchy, collections, and modifiers Find solutions to common problems in modeling 3D characters and designs Implement lighting and probes to liven up an architectural scene using EEVEE Produce a final rendered image complete with lighting and post-processing effects Learn character concept art workflows and how to use the basics of Grease Pencil Learn how to use Blender's built-in texture painting tools Who this book is for Whether you're completely new to Blender, or an animation veteran enticed by Blender's newest features, this book will have something for you.
Learn React with TypeScript 3: Beginner's guide to modern React web development with TypeScript 3
by Carl RipponStart developing modern day component based web apps using React 16, Redux and TypeScript 3 with this easy to follow guide filled with practical examples.Key FeaturesLearn the latest and core features of React such as components, React Router, and suspenseDive into TypeScript 3 and it`s core components such as interfaces, types aliases, tuples, generics and much more.Build small-to-large scale single page applications with React, Redux, GraphQL and TypeScriptBook DescriptionReact today is one of the most preferred choices for frontend development. Using React with TypeScript enhances development experience and offers a powerful combination to develop high performing web apps. In this book, you’ll learn how to create well structured and reusable react components that are easy to read and maintain by leveraging modern web development techniques. We will start with learning core TypeScript programming concepts before moving on to building reusable React components. You'll learn how to ensure all your components are type-safe by leveraging TypeScript's capabilities, including the latest on Project references, Tuples in rest parameters, and much more. You'll then be introduced to core features of React such as React Router, managing state with Redux and applying logic in lifecycle methods. Further on, you'll discover the latest features of React such as hooks and suspense which will enable you to create powerful function-based components. You'll get to grips with GraphQL web API using Apollo client to make your app more interactive. Finally, you'll learn how to write robust unit tests for React components using Jest. By the end of the book, you'll be well versed with all you need to develop fully featured web apps with React and TypeScript.What you will learnGain a first-hand experience of TypeScript and its productivity features Transpile your TypeScript code into JavaScript for it to run in a browser Learn relevant advanced types in TypeScript for creating strongly typed and reusable components.Create stateful function-based components that handle lifecycle events using hooks Get to know what GraphQL is and how to work with it by executing basic queries to get familiar with the syntaxBecome confident in getting good unit testing coverage on your components using JestWho this book is forThe ideal target audience for this book are web developers who want to get started with creating modern day web apps with React and TypeScript.You are expected to have a basic understanding of JavaScript and HTML programming. No prior knowledge of TypeScript and React is needed.
Mastering Spring 5: An effective guide to build enterprise applications using Java Spring and Spring Boot framework, 2nd Edition
by Ranga Rao KaranamBuild scalable and flexible Rest APIs and microservices using the latest versions of Spring and Spring Boot Key Features Build Java-based enterprise applications using Spring 5.1 and Spring Boot 2.1 Create high performing, reusable, and scalable enterprise Java applications that are easy to test Gain powerful insights into advanced Spring and Spring Boot concepts to develop applications effectively Book Description Spring 5.1 is the latest release of the widely used Spring Framework. This book takes you through the evolution of building enterprise-ready applications with Spring and Spring Boot. Mastering Spring 5 starts with an overview of some of the important Spring Framework features relating to aspect-oriented programming, task scheduling, and scripting with the help of practical examples. You'll learn about the standard dependency injection specification for Java contexts and CDI and how the Spring Framework supports it. You'll gain an understanding of how application architectures have evolved from monoliths to microservices and be able to build your own microservices using Spring Boot. Complete with real-world examples, this book will help you gain powerful insights into Spring Boot 2.1 and learn how to develop cloud-native microservices with Spring Cloud. You'll even explore how to secure a REST API with Spring Security and get started with your first full stack application using React. Furthermore, you'll get to grips with Kotlin fundamentals and build a Kotlin project in Eclipse. By the end of this book, you'll be equipped with all the knowledge required to develop microservices and full stack applications with the Spring Framework. What you will learn Explore Spring Framework 5.1 features such as AOP, transaction management, task scheduling, and scripting Build REST APIs and microservices with Spring and Spring Boot Develop a secure REST API with Spring Security Build your first full stack React application Write efficient unit tests with Spring and Spring Boot Understand the advanced features that Spring Boot offers to develop and monitor applications Use Spring Cloud to deploy and manage applications on the Cloud Who this book is for This book is for experienced Java and enterprise Java developers and programmers who have a basic understanding of the Spring Framework.
Mastering Matplotlib 2.x: Effective Data Visualization techniques with Python
by Benjamin Walter KellerUnderstand and build beautiful and advanced plots with Matplotlib and PythonKey FeaturesPractical guide with hands-on examples to design interactive plotsAdvanced techniques to constructing complex plotsExplore 3D plotting and visualization using Jupyter NotebookBook DescriptionIn this book, you’ll get hands-on with customizing your data plots with the help of Matplotlib. You’ll start with customizing plots, making a handful of special-purpose plots, and building 3D plots. You’ll explore non-trivial layouts, Pylab customization, and more about tile configuration. You’ll be able to add text, put lines in plots, and also handle polygons, shapes, and annotations. Non-Cartesian and vector plots are exciting to construct, and you’ll explore them further in this book. You’ll delve into niche plots and visualize ordinal and tabular data. In this book, you’ll be exploring 3D plotting, one of the best features when it comes to 3D data visualization, along with Jupyter Notebook, widgets, and creating movies for enhanced data representation. Geospatial plotting will also be explored. Finally, you’ll learn how to create interactive plots with the help of Jupyter.Learn expert techniques for effective data visualization using Matplotlib 3 and Python with our latest offering -- Matplotlib 3.0 CookbookWhat you will learnDeal with non-trivial and unusual plotsUnderstanding Basemap methodsCustomize and represent data in 3D Construct Non-Cartesian and vector plotsDesign interactive plots using Jupyter NotebookMake movies for enhanced data representationWho this book is forThis book is aimed at individuals who want to explore data visualization techniques. A basic knowledge of Matplotlib and Python is required.
Hands-On Data Structures and Algorithms with Go: Level Up Your Go Programming Skills To Develop Faster And More Efficient Code
by Bhagvan KommadiThis comprehensive book is for developers who want to understand how to select the best data structures and algorithms that will help to solve specific problems. Basic Go programming knowledge would be an added advantage.
Learn Microsoft Azure: Build, manage, and scale cloud applications using the Azure ecosystem
by Mohamed WaliLearn Microsoft Azure is for administrators, cloud engineers, developers, and professionals who want to get started with using Azure as their cloud platform and build a cloud-based application for their enterprises.
Hands-On Mobile and Embedded Development with Qt 5: Build apps for Android, iOS, and Raspberry Pi with C++ and Qt
by Lorn PotterExplore Qt framework and APIs for building cross-platform applications for mobile devices, embedded systems, and IoTKey FeaturesBuild cross-platform applications and deploy them across mobile and connected devicesDesign 2D and 3D UIs for embedded systems using Yocto and Qt CreatorBuild machine to machine automation solution using QtSensors, QtMQTT, and QtWebSocketsBook DescriptionQt is a world-class framework, helping you to develop rich graphical user interfaces (GUIs) and multi-platform applications that run on all major desktop platforms and most mobile or embedded platforms. The framework helps you connect the dots across platforms and between online and physical experience.This book will help you leverage the fully-featured Qt framework and its modular cross-platform library classes and intuitive APIs to develop applications for mobile, IoT, and industrial embedded systems. Considerations such as screen size, device orientation changes, and small memory will be discussed. We will focus on various core aspects of embedded and mobile systems, such as connectivity, networking, and sensors; there is no IoT without sensors. You will learn how to quickly design a flexible, fast, and responsive UI that looks great. Going further, you will implement different elements in a matter of minutes and synchronize the UI elements with the 3D assets with high precision. You will learn how to create high-performance embedded systems with 3D/2D user interfaces, and deploy and test on your target hardware. The book will explore several new features, including Qt for WebAssembly.At the end of this book, you will learn about creating a full software stack for embedded Linux systems using Yocto and Boot to Qt for Device Creation.What you will learnExplore the latest features of Qt, such as preview for Qt for Python and Qt for WebAssemblyCreate fluid UIs with a dynamic layout for different sized screensDeploy embedded applications on Linux systems using YoctoDesign Qt APIs for building applications for embedded and mobile devicesUtilize connectivity for networked and machine automated applicationsDiscover effective techniques to apply graphical effects using Qt Quick appsWho this book is forThe book is ideal for mobile developers, embedded systems engineers and enthusiasts who are interested in building cross-platform applications with Qt. Prior knowledge of C++ is required.