Leverage the power of PostgreSQL 10 to design, administer and maintain a high-performance database solution About This Book ? Obtain optimal PostgreSQL 10 database performance, ranging from initial design to routine maintenance ? Fine tune the performance of your queries and avoid the common pitfalls that can slow your system down ? Contains tips and tricks on scaling successful database installations, and ensuring a highly available PostgreSQL solution Who This Book Is For This book is designed for database administrators and PostgreSQL architects who already use or plan to exploit the features of PostgreSQL 10 to design and maintain a high-performance PostgreSQL database. A working knowledge of SQL, and some experience with PostgreSQL will be helpful in getting the most out of this book. What You Will Learn ? Learn best practices for scaling PostgreSQL 10 installations ? Discover the best hardware for developing high-performance PostgreSQL applications ? Benchmark your whole system – from hardware to application ? Learn by real examples how server parameters impact performance ? Discover PostgreSQL 10 features for partitioning and parallel query ? Monitor your server, both inside and outside the database ? Design and implement a good replication system on PostgreSQL 10 In Detail PostgreSQL database servers have a common set of problems that they encounter as their usage gets heavier and requirements get more demanding. Peek into the future of your PostgreSQL 10 database's problems today. Know the warning signs to look for and how to avoid the most common issues before they even happen. Surprisingly, most PostgreSQL database applications evolve in the same way—choose the right hardware, tune the operating system and server memory use, optimize queries against the database and CPUs with the right indexes, and monitor every layer, from hardware to queries, using tools from inside and outside PostgreSQL. Also, using monitoring insight, PostgreSQL database applications continuously rework the design and configuration. On reaching the limits of a single server, they break things up; connection pooling, caching, partitioning, replication, and parallel queries can all help handle increasing database workloads. By the end of this book, you will have all the knowledge you need to design, run, and manage your PostgreSQL solution while ensuring high performance and high availability Style and approach This book has been organized in such a manner that will help you understand basic PostgreSQL 10 performance tuning to an advanced-level configuration.

Design and implement scalable and maintainable RESTful solutions with Node.js 10 About This Book ? Create rich and scalable RESTful API solutions from scratch ? Explore the new features of Node.js 10, Express 4.0, and MongoDB ? Integrate MongoDB in your Node.js application to store and secure your data Who This Book Is For If you are a web developer keen to enrich your development skills to create server-side RESTful applications based on the Node.js platform, this book is for you. Some knowledge of REST would be an added advantage, but is definitely not a necessity. What You Will Learn ? Install, develop, and test your own Node.js user modules ? Understand the differences between HTTP and RESTful applications ? Use self-descriptive URLs and set accurate HTTP status codes ? Eliminate third-party dependencies in your tests with mocking ? Implement automation tests for a REST-enabled endpoint with Mocha ? Secure your services with NoSQL database integration within Node.js applications ? Integrate a simple frontend using JavaScript libraries available on a CDN server In Detail When building RESTful services, it is really important to choose the right framework. Node.js, with its asynchronous, event-driven architecture, is exactly the right choice for building RESTful APIs. This third edition of RESTful Web API Design with Node.js 10 will teach you to create scalable and rich RESTful applications based on the Node.js platform. You will be introduced to the latest NPM package handler and understand how to use it to customize your RESTful development process. You will begin by understanding the key principle that makes an HTTP application a RESTful-enabled application. After writing a simple HTTP request handler, you will create and test Node.js modules using automated tests and mock objects; explore using the NoSQL database, MongoDB, to store data; and get to grips with using self-descriptive URLs. You’ll learn to set accurate HTTP status codes along with understanding how to keep your applications backward-compatible. Also, while implementing a full-fledged RESTful service, you will use Swagger to document the API and implement automation tests for a REST-enabled endpoint with Mocha. Lastly, you will explore some authentication techniques to secure your application. Style and approach Step-by-step practical guide to building RESTful applications

Build and program smart robots with the EV3. About This Book ? Efficiently build smart robots with the LEGO MINDSTORMS EV3 ? Discover building techniques and programming concepts that are used by engineers to prototype robots in the real world ? This project-based guide will teach you how to build exciting projects such as the objecta-tracking tank, ultimate all-terrain vehicle, remote control race car, or even a GPS-navigating autonomous vehicle Who This Book Is For This book is for hobbyists, robotic engineers, and programmers who understand the basics of the EV3 programming language and are familiar with building with LEGO Technic and want to try some advanced projects. If you want to learn some new engineering techniques and take your experience with the EV3 to the next level, then this book is for you. What You Will Learn ? Understand the characteristics that make a robot smart ? Grasp proportional beacon following and use proximity sensors to track an object ? Discover how mechanisms such as rack-and-pinion and the worm gear work ? Program a custom GUI to make a robot more user friendly ? Make a fun and quirky interactive robot that has its own personality ? Get to know the principles of remote control and programming car-style steering ? Understand some of the mechanisms that enable a car to drive ? Navigate to a destination with a GPS receiver In Detail Smart robots are an ever-increasing part of our daily lives. With LEGO MINDSTORMS EV3, you can now prototype your very own small-scale smart robot that uses specialized programming and hardware to complete a mission. EV3 is a robotics platform for enthusiasts of all ages and experience levels that makes prototyping robots accessible to all. This book will walk you through six different projects that range from intermediate to advanced level. The projects will show you building and programming techniques that are used by engineers in the real world, which will help you build your own smart robot. You'll see how to make the most of the EV3 robotics platform and build some awesome smart robots. The book starts by introducing some real-world examples of smart robots. Then, we'll walk you through six different projects and explain the features that allow these robots to make intelligent decisions. The book will guide you as you build your own object-tracking tank, a box-climbing robot, an interactive robotic shark, a quirky bipedal robot, a speedy remote control race car, and a GPS-navigating robot. By the end of this book, you'll have the skills necessary to build and program your own smart robots with EV3. Style and approach This book will introduce you to the world of smart robots, then guide you through six different projects that can be completed with the LEGO MINDSTORMS EV3. The projects range from intermediate to advanced difficulty. The book will enable you to learn by example, walking you through the building and programming for each project and teaching you about the engineering concepts that allow each smart robot to complete its mission.

Learn how to write efficient, clean, and reusable code with Scala About This Book ? Unleash the power of Scala and apply it in the real world to build scalable and robust applications. ? Learn about using and implementing Creational, Structural, Behavioral, and Functional design patterns in Scala ? Learn how to build scalable and extendable applications efficiently Who This Book Is For If you want to increase your understanding of Scala and apply design patterns to real-life application development, then this book is for you.Prior knowledge of Scala language is assumed/ expected. What You Will Learn ? Immerse yourself in industry-standard design patterns—structural, creational, and behavioral—to create extraordinary applications ? See the power of traits and their application in Scala ? Implement abstract and self types and build clean design patterns ? Build complex entity relationships using structural design patterns ? Create applications faster by applying functional design patterns In Detail Design patterns make developers’ lives easier by helping them write great software that is easy to maintain, runs efficiently, and is valuable to the company or people concerned. You’ll learn about the various features of Scala and will be able to apply well-known, industry-proven design patterns in your work. The book starts off by focusing on some of the most interesting and latest features of Scala while using practical real-world examples. We will be learning about IDE’s and Aspect Oriented Programming. We will be looking into different components in Scala. We will also cover the popular "Gang of Four" design patterns and show you how to incorporate functional patterns effectively. The book ends with a practical example that demonstrates how the presented material can be combined in real-life applications. You’ll learn the necessary concepts to build enterprise-grade applications. By the end of this book, you’ll have enough knowledge and understanding to quickly assess problems and come up with elegant solutions. Style and approach The design patterns in the book are explained using real-world, step-by-step examples. For each design pattern, there are tips on when to use it and when to look for something more suitable. This book can also be used as a practical guide, showing you how to leverage design patterns effectively. We've designed the book to be used as a quick reference guide while creating applications.

Build rich and collaborative applications using client-side code with React, Redux, and Firebase About This Book ? A practical guide covering the full stack for web development with React 16 and Firebase ? Leverage the power of Firebase Cloud Storage, messaging, functions, OAuth, and database security to develop serverless web applications. ? Develop high-performance applications without the hassle of setting up complex web infrastructure. Who This Book Is For This book is for JavaScript developers who have some previous knowledge of React and want to develop serverless, full-stack applications but without the hassle of setting up a complex infrastructure. What You Will Learn ? Install powerful React.js and Firebase tools to make development much more efficient ? Create React components with Firebase to save and retrieve the data in real-time ? Use Firebase Authentication to make your React user interface secure ? Develop React and Firebase applications with Redux integration ? Firebase database security rules ? Firebase Cloud Storage Integration to upload and store data on the cloud ? Create a complete real-time application with React and firebase ? Using Firebase Cloud messaging and Cloud functions with React ? Firebase Cloud Storage integration with React In Detail ReactJS is a wonderful framework for UI development. Firebase as a backend with React is a great choice as it is easy, powerful, and provides great developer experience. It removes a lot of boilerplate code from your app and allows you to focus on your app to get it out quickly to users. Firebase with React is also a good choice for Most Viable Product (MVP) development. This book provides more practical insights rather than just theoretical concepts and includes basic to advanced examples – from hello world to a real-time seat booking app and Helpdesk application This book will cover the essentials of Firebase and React.js and will take you on a fast-paced journey through building real-time applications with Firebase features such as Cloud Storage, Cloud Function, Hosting and the Realtime Database. We will learn how to secure our application by using Firebase authentication and database security rules. We will leverage the power of Redux to organize data in the front-end, since Redux attempts to make state mutations predictable by imposing certain restrictions on how and when updates can happen. Towards the end of the book you will have improved your React skills by realizing the potential of Firebase to create real-time serverless web applications. Style and approach Practical insights rather than just theoretical concepts while including basic to advanced examples – from hello world to a real-time seat booking app and Helpdesk application.

Combine the power of analytics and cloud computing for faster and efficient insights About This Book ? Master the concept of analytics on the cloud: and how organizations are using it ? Learn the design considerations and while applying a cloud analytics solution ? Design an end-to-end analytics pipeline on the cloud Who This Book Is For This book is targeted at CIOs, CTOs, and even analytics professionals looking for various alternatives to implement their analytics pipeline on the cloud. Data professionals looking to get started with cloud-based analytics will also find this book useful. Some basic exposure to cloud platforms such as GCP will be helpful, but not mandatory. What You Will Learn ? Explore the basics of cloud analytics and the major cloud solutions ? Learn how organizations are using cloud analytics to improve the ROI ? Explore the design considerations while adopting cloud services ? Work with the ingestion and storage tools of GCP such as Cloud Pub/Sub ? Process your data with tools such as Cloud Dataproc, BigQuery, etc ? Over 70 GCP tools to build an analytics engine for cloud analytics ? Implement machine learning and other AI techniques on GCP In Detail With the ongoing data explosion, more and more organizations all over the world are slowly migrating their infrastructure to the cloud. These cloud platforms also provide their distinct analytics services to help you get faster insights from your data. This book will give you an introduction to the concept of analytics on the cloud, and the different cloud services popularly used for processing and analyzing data. If you’re planning to adopt the cloud analytics model for your business, this book will help you understand the design and business considerations to be kept in mind, and choose the best tools and alternatives for analytics, based on your requirements. The chapters in this book will take you through the 70+ services available in Google Cloud Platform and their implementation for practical purposes. From ingestion to processing your data, this book contains best practices on building an end-to-end analytics pipeline on the cloud by leveraging popular concepts such as machine learning and deep learning. By the end of this book, you will have a better understanding of cloud analytics as a concept as well as a practical know-how of its implementation Style and approach Comprehensive guide with a perfect blend of theory, examples, and implementation of real-world use-cases

Get started with designing your serverless application using optimum design patterns and industry standard practices About This Book ? Learn the details of popular software patterns and how they are applied to serverless applications ? Understand key concepts and components in serverless designs ? Walk away with a thorough understanding of architecting serverless applications Who This Book Is For If you're a software architect, engineer, or someone who wants to build serverless applications, which are non-trivial in complexity and scope, then this book is for you. Basic knowledge of programming and serverless computing concepts are assumed. What You Will Learn ? Comprehend the popular design patterns currently being used with serverless architectures ? Understand the various design options and corresponding implementations for serverless web application APIs ? Learn multiple patterns for data-intensive serverless systems and pipelines, including MapReduce and Lambda Architecture ? Learn how to leverage hosted databases, queues, streams, storage services, and notification services ? Understand error handling and system monitoring in a serverless architecture a serverless architecture ? Learn how to set up a serverless application for continuous integration, continuous delivery, and continuous deployment In Detail Serverless applications handle many problems that developers face when running systems and servers. The serverless pay-per-invocation model can also result in drastic cost savings, contributing to its popularity. While it's simple to create a basic serverless application, it's critical to structure your software correctly to ensure it continues to succeed as it grows. Serverless Design Patterns and Best Practices presents patterns that can be adapted to run in a serverless environment. You will learn how to develop applications that are scalable, fault tolerant, and well-tested. The book begins with an introduction to the different design pattern categories available for serverless applications. You will learn the trade-offs between GraphQL and REST and how they fare regarding overall application design in a serverless ecosystem. The book will also show you how to migrate an existing API to a serverless backend using AWS API Gateway. You will learn how to build event-driven applications using queuing and streaming systems, such as AWS Simple Queuing Service (SQS) and AWS Kinesis. Patterns for data-intensive serverless application are also explained, including the lambda architecture and MapReduce. This book will equip you with the knowledge and skills you need to develop scalable and resilient serverless applications confidently. Style and approach Readers will be taken through a set of specific software patterns and learn, in detail, how to apply these patterns and build working software on top of a serverless system. At each step along the way, the reader will learn about the subcomponents and subsystems which comprise the larger system and which may be used in the future to solve different types of challenges.

Learn the most powerful and primary programming language for writing smart contracts and find out how to write, deploy, and test smart contracts in Ethereum. About This Book ? Get you up and running with Solidity Programming language ? Build Ethereum Smart Contracts with Solidity as your scripting language ? Learn to test and deploy the smart contract to your private Blockchain Who This Book Is For This book is for anyone who would like to get started with Solidity Programming for developing an Ethereum smart contract. No prior knowledge of EVM is required. What You Will Learn ? Learn the basics and foundational concepts of Solidity and Ethereum ? Explore the Solidity language and its uniqueness in depth ? Create new accounts and submit transactions to blockchain ? Get to know the complete language in detail to write smart contracts ? Learn about major tools to develop and deploy smart contracts ? Write defensive code using exception handling and error checking ? Understand Truffle basics and the debugging process In Detail Solidity is a contract-oriented language whose syntax is highly influenced by JavaScript, and is designed to compile code for the Ethereum Virtual Machine. Solidity Programming Essentials will be your guide to understanding Solidity programming to build smart contracts for Ethereum and blockchain from ground-up. We begin with a brief run-through of blockchain, Ethereum, and their most important concepts or components. You will learn how to install all the necessary tools to write, test, and debug Solidity contracts on Ethereum. Then, you will explore the layout of a Solidity source file and work with the different data types. The next set of recipes will help you work with operators, control structures, and data structures while building your smart contracts. We take you through function calls, return types, function modifers, and recipes in object-oriented programming with Solidity. Learn all you can on event logging and exception handling, as well as testing and debugging smart contracts. By the end of this book, you will be able to write, deploy, and test smart contracts in Ethereum. This book will bring forth the essence of writing contracts using Solidity and also help you develop Solidity skills in no time. Style and approach Solidity is a high-level programming language best understood using examples. After covering basic concepts of Ethereum and Solidity, programming constructs will be explained with help of examples. As chapters progress, deployment, usage and testing of contacts will form major aspect of the book. Troubleshooting and unit testing is an important exercise and skill to master this language will also be covered in this book.

Leverage the power of Python and its de facto GUI framework to build highly interactive interfaces About This Book ? The fundamentals of Python and GUI programming with Tkinter. ? Create multiple cross-platform projects by integrating a host of third-party libraries and tools. ? Build beautiful and highly-interactive user interfaces that target multiple devices. Who This Book Is For This book is for beginners to GUI programming who haven’t used Tkinter yet and are eager to start building great-looking and user-friendly GUIs. Prior knowledge of Python programming is expected. What You Will Learn ? Create a scrollable frame via theCanvas widget ? Use the pack geometry manager andFrame widget to control layout ? Learn to choose a data structurefor a game ? Group Tkinter widgets, such asbuttons, canvases, and labels ? Create a highly customizablePython editor ? Design and lay out a chat window In Detail Tkinter is a modular, cross-platform application development toolkit for Python. When developing GUI-rich applications, the most important choices are which programming language(s) and which GUI framework to use. Python and Tkinter prove to be a great combination. This book will get you familiar with Tkinter by having you create fun and interactive projects. These projects have varying degrees of complexity. We'll start with a simple project, where you'll learn the fundamentals of GUI programming and the basics of working with a Tkinter application. After getting the basics right, we'll move on to creating a project of slightly increased complexity, such as a highly customizable Python editor. In the next project, we'll crank up the complexity level to create an instant messaging app. Toward the end, we'll discuss various ways of packaging our applications so that they can be shared and installed on other machines without the user having to learn how to install and run Python programs. Style and approach Step by Step guide with real world examples

Build applications and infrastructures that leverage Function-as-a-Service and Docker About This Book ? Implement containerization in Serverless/FaaS environments ? Utilize Docker as a functional unit of work for Serverless/FaaS platforms ? Use Docker as a portable infrastructure for Serverless Applications Who This Book Is For If you are a Developer, a Docker Engineer, a DevOps Engineer, or any stakeholder interested in learning the use of Docker on Serverless environments then this book is for you. What You Will Learn ? Learn what Serverless and FaaS applications are ? Get acquainted with the architectures of three major serverless systems ? Explore how Docker technologies can help develop Serverless applications ? Create and maintain FaaS infrastructures ? Set up Docker infrastructures to serve as on-premises FaaS infrastructures ? Define functions for Serverless applications with Docker containers In Detail Serverless applications have gained a lot of popularity among developers and are currently the buzzwords in the tech market. Docker and serverless are two terms that go hand-in-hand. This book will start by explaining serverless and Function-as-a-Service (FaaS) concepts, and why they are important. Then, it will introduce the concepts of containerization and how Docker fits into the Serverless ideology. It will explore the architectures and components of three major Docker-based FaaS platforms, how to deploy and how to use their CLI. Then, this book will discuss how to set up and operate a production-grade Docker cluster. We will cover all concepts of FaaS frameworks with practical use cases, followed by deploying and orchestrating these serverless systems using Docker. Finally, we will also explore advanced topics and prototypes for FaaS architectures in the last chapter. By the end of this book, you will be in a position to build and deploy your own FaaS platform using Docker. Style and approach A practical guide that offers a simple way to easily understand Serverless Applications utilizing Docker as the development environment.

Building efficient Python applications at minimal cost by adopting serverless architectures About This Book ? Design and set up a data flow between cloud services and custom business logic ? Make your applications efficient and reliable using serverless architecture ? Build and deploy scalable serverless Python APIs Who This Book Is For This book is for Python developers who would like to learn about serverless architecture. Python programming knowledge is assumed. What You Will Learn ? Understand how AWS Lambda and Microsoft Azure Functions work and use them to create an application ? Explore various triggers and how to select them, based on the problem statement ? Build deployment packages for Lambda functions ? Master the finer details about building Lambda functions and versioning ? Log and monitor serverless applications ? Learn about security in AWS and Lambda functions ? Scale up serverless applications to handle huge workloads and serverless distributed systems in production ? Understand SAM model deployment in AWS Lambda In Detail Serverless architectures allow you to build and run applications and services without having to manage the infrastructure. Many companies have adopted this architecture to save cost and improve scalability. This book will help you design serverless architectures for your applications with AWS and Python. The book is divided into three modules. The first module explains the fundamentals of serverless architecture and how AWS lambda functions work. In the next module, you will learn to build, release, and deploy your application to production. You will also learn to log and test your application. In the third module, we will take you through advanced topics such as building a serverless API for your application. You will also learn to troubleshoot and monitor your app and master AWS lambda programming concepts with API references. Moving on, you will also learn how to scale up serverless applications and handle distributed serverless systems in production. By the end of the book, you will be equipped with the knowledge required to build scalable and cost-efficient Python applications with a serverless framework. Style and approach The book takes a pragmatic approach, using a real-world example to demonstrate building efficient, secure, and scalable serverless applications.

Improve the speed of your code and optimize the performance of your apps About This Book ? Understand the common performance pitfalls and improve your application’s performance ? Get to grips with multi-threaded and asynchronous programming in C# ? Develop highly performant applications on .NET Core using microservice architecture Who This Book Is For This book is for .NET developers looking at improving the speed of their code or simply wanting to take their skills to the next level. Basic C# knowledge is assumed. What You Will Learn ? Measure application performance using BenchmarkDotNet ? Explore the techniques to write multithreaded applications ? Leverage TPL and PLinq libraries to perform asynchronous operations ? Get familiar with data structures to write optimized code ? Understand design techniques to increase your application’s performance ? Learn about memory management techniques in .NET Core ? Develop a containerized application based on microservices architecture ? Learn tools and techniques to monitor application performance In Detail While writing an application, performance is paramount. Performance tuning for realworld applications often involves activities geared toward fnding bottlenecks; however, this cannot solve the dreaded problem of slower code. If you want to improve the speed of your code and optimize an application's performance, then this book is for you. C# 7 and .NET Core 2.0 High Performance begins with an introduction to the new features of what?explaining how they help in improving an application's performance. Learn to identify the bottlenecks in writing programs and highlight common performance pitfalls, and learn strategies to detect and resolve these issues early. You will explore multithreading and asynchronous programming with .NET Core and learn the importance and effcient use of data structures. This is followed with memory management techniques and design guidelines to increase an application’s performance. Gradually, the book will show you the importance of microservices architecture for building highly performant applications and implementing resiliency and security in .NET Core. After reading this book, you will learn how to structure and build scalable, optimized, and robust applications in C#7 and .NET. Style and approach This book will be a step by step easy to follow guide with focused examples to increase performance of applications and provide optimization techniques.

Enhance your software deployment workflow using containers About This Book ? Get up-and-running with basic to advanced concepts of Docker ? Get acquainted with concepts such as Docker containers, Docker images, orchestrators and so on. ? Practical test-based approach to learning a prominent containerization tool Who This Book Is For This book is targeted at system administrators, operations engineers, DevOps engineers, and developers or stakeholders who are interested in getting started with Docker from scratch. No prior experience with Docker Containers is required. What You Will Learn ? Containerize your traditional or microservice-based application ? Share or ship your application as an immutable container image ? Build a Docker swarm and a Kubernetes cluster in the cloud ? Run a highly distributed application using Docker Swarm or Kubernetes ? Update or rollback a distributed application with zero downtime ? Secure your applications via encapsulation, networks, and secrets ? Know your options when deploying your containerized app into the cloud In Detail Docker containers have revolutionized the software supply chain in small and big enterprises. Never before has a new technology so rapidly penetrated the top 500 enterprises worldwide. Companies that embrace containers and containerize their traditional mission-critical applications have reported savings of at least 50% in total maintenance cost and a reduction of 90% (or more) of the time required to deploy new versions of those applications. Furthermore they are benefitting from increased security just by using containers as opposed to running applications outside containers. This book starts from scratch, introducing you to Docker fundamentals and setting up an environment to work with it. Then we delve into concepts such as Docker containers, Docker images, Docker Compose, and so on. We will also cover the concepts of deployment, orchestration, networking, and security. Furthermore, we explain Docker functionalities on public clouds such as AWS. By the end of this book, you will have hands-on experience working with Docker containers and orchestrators such as SwarmKit and Kubernetes. Style and approach The simple end-to-end guide will help you learn everything about how to containerize, ship, and run both a traditional application and a modern microservice-based application on-premise or in the cloud.

Explore GIS processing and learn to work with various tools and libraries in Python. About This Book ? Analyze and process geospatial data using Python libraries such as; Anaconda, GeoPandas ? Leverage new ArcGIS API to process geospatial data for the cloud. ? Explore various Python geospatial web and machine learning frameworks. Who This Book Is For The audience for this book includes students, developers, and geospatial professionals who need a reference book that covers GIS data management, analysis, and automation techniques with code libraries built in Python 3. What You Will Learn ? Manage code libraries and abstract geospatial analysis techniques using Python 3. ? Explore popular code libraries that perform specific tasks for geospatial analysis. ? Utilize code libraries for data conversion, data management, web maps, and REST API creation. ? Learn techniques related to processing geospatial data in the cloud. ? Leverage features of Python 3 with geospatial databases such as PostGIS, SQL Server, and SpatiaLite. In Detail Python comes with a host of open source libraries and tools that help you work on professional geoprocessing tasks without investing in expensive tools. This book will introduce Python developers, both new and experienced, to a variety of new code libraries that have been developed to perform geospatial analysis, statistical analysis, and data management. This book will use examples and code snippets that will help explain how Python 3 differs from Python 2, and how these new code libraries can be used to solve age-old problems in geospatial analysis. You will begin by understanding what geoprocessing is and explore the tools and libraries that Python 3 offers. You will then learn to use Python code libraries to read and write geospatial data. You will then learn to perform geospatial queries within databases and learn PyQGIS to automate analysis within the QGIS mapping suite. Moving forward, you will explore the newly released ArcGIS API for Python and ArcGIS Online to perform geospatial analysis and create ArcGIS Online web maps. Further, you will deep dive into Python Geospatial web frameworks and learn to create a geospatial REST API. Style and approach The book takes a practical, example-driven approach to teach you GIS analysis and automation techniques with Python 3.

Practical, hands-on solutions in Python to overcome any problem in Machine Learning About This Book ? Master the advanced concepts, methodologies, and use cases of machine learning ? Build ML applications for analytics, NLP and computer vision domains ? Solve the most common problems in building machine learning models Who This Book Is For This book is for the intermediate users such as machine learning engineers, data engineers, data scientists, and more, who want to solve simple to complex machine learning problems in their day-to-day work and build powerful and efficient machine learning models. A basic understanding of the machine learning concepts and some experience with Python programming is all you need to get started with this book. What You Will Learn ? Select the right algorithm to derive the best solution in ML domains ? Perform predictive analysis effciently using ML algorithms ? Predict stock prices using the stock index value ? Perform customer analytics for an e-commerce platform ? Build recommendation engines for various domains ? Build NLP applications for the health domain ? Build language generation applications using different NLP techniques ? Build computer vision applications such as facial emotion recognition In Detail Machine learning (ML) helps you find hidden insights from your data without the need for explicit programming. This book is your key to solving any kind of ML problem you might come across in your job. You’ll encounter a set of simple to complex problems while building ML models, and you'll not only resolve these problems, but you’ll also learn how to build projects based on each problem, with a practical approach and easy-to-follow examples. The book includes a wide range of applications: from analytics and NLP, to computer vision domains. Some of the applications you will be working on include stock price prediction, a recommendation engine, building a chat-bot, a facial expression recognition system, and many more. The problem examples we cover include identifying the right algorithm for your dataset and use cases, creating and labeling datasets, getting enough clean data to carry out processing, identifying outliers, overftting datasets, hyperparameter tuning, and more. Here, you'll also learn to make more timely and accurate predictions. In addition, you'll deal with more advanced use cases, such as building a gaming bot, building an extractive summarization tool for medical documents, and you'll also tackle the problems faced while building an ML model. By the end of this book, you'll be able to fine-tune your models as per your needs to deliver maximum productivity. Style and approach This book is a step-by-step guide on how to develop machine learning applications for various domains. Each chapter of this book contains the practical guide on how to build specific machine learning applications from its base-line approach to the best possible approach. Basic necessary concepts, conman mistakes for every approach and optimization techniques are discussed for each application.

Be an adaptive thinker that leads the way to Artificial Intelligence About This Book ? AI-based examples to guide you in designing and implementing machine intelligence ? Develop your own method for future AI solutions ? Acquire advanced AI, machine learning, and deep learning design skills Who This Book Is For Artificial Intelligence by Example is a simple, explanatory, and descriptive guide for junior developers, experienced developers, technology consultants, and those interested in AI who want to understand the fundamentals of Artificial Intelligence and implement it practically by devising smart solutions. Prior experience with Python and statistical knowledge is essential to make the most out of this book. What You Will Learn ? Use adaptive thinking to solve real-life AI case studies ? Rise beyond being a modern-day factory code worker ? Acquire advanced AI, machine learning, and deep learning designing skills ? Learn about cognitive NLP chatbots, quantum computing, and IoT and blockchain technology ? Understand future AI solutions and adapt quickly to them ? Develop out-of-the-box thinking to face any challenge the market presents In Detail Artificial Intelligence has the potential to replicate humans in every field. This book serves as a starting point for you to understand how AI is built, with the help of intriguing examples and case studies. Artificial Intelligence By Example will make you an adaptive thinker and help you apply concepts to real-life scenarios. Using some of the most interesting AI examples, right from a simple chess engine to a cognitive chatbot, you will learn how to tackle the machine you are competing with. You will study some of the most advanced machine learning models, understand how to apply AI to blockchain and IoT, and develop emotional quotient in chatbots using neural networks. You will move on to designing AI solutions in a simple manner rather than get confused by complex architectures and techniques. This comprehensive guide will be a starter kit for you to develop AI applications on your own. By the end of this book, will have understood the fundamentals of AI and worked through a number of case studies that will help you develop business vision. Style and approach An easy-to-follow step by step guide which will help you get to grips with real world application of Artificial Intelligence

Optimize the powerful techniques of Java 9 to boost your application's performance About This Book ? Tackle all kinds of performance-related issues and streamline your development ? Dive into the new features of Java 9 ? Implement highly efficient and reliable codes with the help of new APIs of Java ? Embedded with assessments that will help you revise the concepts you have learned in this book Who This Book Is For This book is targeted at developers who would like to build reliable and high-performance applications with Java. What You Will Learn ? Familiarize with modular development and its impact on performance ? Learn various string-related performance improvements, including compact string and modify string concatenation ? Explore various underlying compiler improvements, such as tiered attribution and Ahead-of-Time (AOT) compilation ? Learn security manager improvements ? Understand enhancements in graphics rasterizers ? Use of command-line tools to speed up application development ? Learn how to implement multithreading and reactive programming ? Build microservices in Java 9 ? Implement APIs to improve application code In Detail Java 9 which is one of the most popular application development languages. The latest released version Java 9 comes with a host of new features and new APIs with lots of ready to use components to build efficient and scalable applications. Streams, parallel and asynchronous processing, multithreading, JSON support, reactive programming, and microservices comprise the hallmark of modern programming and are now fully integrated into the JDK. This book focuses on providing quick, practical solutions to enhance your application's performance. You will explore the new features, APIs, and various tools added in Java 9 that help to speed up the development process. You will learn about jshell, Ahead-of-Time (AOT) compilation, and the basic threads related topics including sizing and synchronization. You will also explore various strategies for building microservices including container-less, self-contained, and in-container. This book is ideal for developers who would like to build reliable and high-performance applications with Java. This book is embedded with useful assessments that will help you revise the concepts you have learned in this book. Style and approach This book is a fast-paced guide that provides practical solutions to enhance your application’s performance. Note: This book is a blend of text and quizzes, all packaged up keeping your journey in mind. It includes content from the following Packt product: ? Java 9 High Performance by Mayur Ramgir and Nick Samoylov

Unlock the power of Spring Boot to build and deploy production-ready microservices About This Book ? Get to know the advanced features of Spring Boot in order to develop and monitor applications ? Use Spring cloud to deploy and manage microservices on the cloud ? Look at embedded servers and deploy a test application to a PaaS Cloud platform ? Embedded with assessments that will help you revise the concepts you have learned in this book Who This Book Is For This book is aimed at Java developers who knows the basics of Spring programming and want to build microservices with Spring Boot. What You Will Learn ? Use Spring Initializr to create a basic spring project ? Build a basic microservice with Spring Boot ? Implement caching and exception handling ? Secure your microservice with Spring security and OAuth2 ? Deploy microservices using self-contained HTTP server ? Monitor your microservices with Spring Boot actuator ? Learn to develop more effectively with developer tools In Detail Microservices helps in decomposing applications into small services and move away from a single monolithic artifact. It helps in building systems that are scalable, flexible, and high resilient. Spring Boot helps in building REST-oriented, production-grade microservices. This book is a quick learning guide on how to build, monitor, and deploy microservices with Spring Boot. You'll be first familiarized with Spring Boot before delving into building microservices. You will learn how to document your microservice with the help of Spring REST docs and Swagger documentation. You will then learn how to secure your microservice with Spring Security and OAuth2. You will deploy your app using a self-contained HTTP server and also learn to monitor a microservice with the help of Spring Boot actuator. This book is ideal for Java developers who knows the basics of Spring programming and want to build microservices with Spring Boot. This book is embedded with useful assessments that will help you revise the concepts you have learned in this book. Style and approach This book follows a practical approach to teach you how to build, monitor, and deploy microservices with Spring Boot. Note: This book is a blend of text and quizzes, all packaged up keeping your journey in mind. It includes content from the following Packt product: ? Mastering Spring 5.0 by Ranga Rao Karanam

Manage state in Angular to write high performing web apps by combining the power of Flux, RxJS, and NgRx About This Book ? Learn what makes an excellent Angular application architecture ? Use Redux to write performant, consistent Angular applications ? Incorporate Reactive Programming principles and RxJS to make it easier to develop, test, and debug your Angular applications Who This Book Is For If you have been developing Angular applications and want to dive deeper into the Angular architecture with Redux, RxJS, and NgRx to write robust web apps, then this book is for you. What You Will Learn ? Understand the one-way data flow and Flux pattern ? Work with functional programming and asynchronous data streams ? Figure out how RxJS can help us address the flaws in promises ? Set up different versions of cascading calls ? Explore advanced operators ? Get familiar with the Redux pattern and its principles ? Test and debug different features of your application ? Build your own lightweight app using Flux, Redux, and NgRx In Detail Managing the state of large-scale web applications is a highly challenging task with the need to align different components, backends, and web workers harmoniously. When it comes to Angular, you can use NgRx, which combines the simplicity of Redux with the reactive programming power of RxJS to build your application architecture, making your code elegant and easy to reason about, debug, and test. In this book, we start by looking at the different ways of architecting Angular applications and some of the patterns that are involved in it. This will be followed by a discussion on one-way data flow, the Flux pattern, and the origin of Redux. The book introduces you to declarative programming or, more precisely, functional programming and talks about its advantages. We then move on to the reactive programming paradigm. Reactive programming is a concept heavily used in Angular and is at the core of NgRx. Later, we look at RxJS, as a library and master it. We thoroughly describe how Redux works and how to implement it from scratch. The two last chapters of the book cover everything NgRx has to offer in terms of core functionality and supporting libraries, including how to build a micro implementation of NgRx. This book will empower you to not only use Redux and NgRx to the fullest, but also feel confident in building your own version, should you need it. Style and approach This book covers everything there is to know to get well-acquainted with Angular without bogging you down. Everything is neatly laid out under clear headings for quick consultation, giving you the information required to understand a concept immediately.

Enhance your Kotlin programming skills by building 3 real-world applications About This Book ? Build three full-fledged, engaging applications from scratch and learn to deploy them ? Enhance your app development and programming activities with Kotlin’s powerful and intuitive tools and utilities. ? Experience the gentle learning curve, expressiveness, and intuitiveness of Kotlin, as you develop your own applications Who This Book Is For This book is for those who are new to Kotlin or are familiar with the basics, having dabbled with Java until now. Basic programming knowledge is mandatory. What You Will Learn ? Learn the building blocks of the Kotlin programming language ? Develop powerful RESTful microservices for Android applications ? Create reactive Android applications efficiently ? Implement an MVC architecture pattern and dependency management using Kotlin ? Centralize, transform, and stash data with Logstash ? Secure applications using Spring Security ? Deploy Kotlin microservices to AWS and Android applications to the Play Store In Detail Kotlin greatly reduces the verbosity of source code. With Google having announced their support for Kotlin as a first-class language for writing Android apps, now's the time learn how to create apps from scratch with Kotlin Kotlin Programming By Example takes you through the building blocks of Kotlin, such as functions and classes. You’ll explore various features of Kotlin by building three applications of varying complexity. For a quick start to Android development, we look at building a classic game, Tetris, and elaborate on object-oriented programming in Kotlin. Our next application will be a messenger app, a level up in terms of complexity. Before moving onto the third app, we take a look at data persistent methods, helping us learn about the storage and retrieval of useful applications. Our final app is a place reviewer: a web application that will make use of the Google Maps API and Place Picker. By the end of this book, you will have gained experience of of creating and deploying Android applications using Kotlin. Style and approach Here we will build three exciting projects in Kotlin which will demonstrate how to effectively use Kotlin language constructs

Create microservices using Java EE technologies using WildFly Swarm,deploy them in the OpenShift cloud, make them resilient to network failures using Hystrix, configure continuous integration using Jenkins, and security using Keycloak. About This Book ? Create functional microservices with WildFly Swarm ? Use OpenShift to deploy your microservices in the cloud ? Make your application production-ready using Jenkins, Hystrix, and Keycloak Who This Book Is For If you're an experienced developer familiar with Java EE technologies and would like to learn how you can use those technologies in the cloud with WildFly and OpenShift, then this book is for you. What You Will Learn ? Utilize Java EE technology to develop modern cloud-enabled applications ? Easily create microservices with WildFly Swarm using proven Java EE technologies ? See the benefits of OpenShift – easy deployment of your services, out of the box scalability and healing, and integration with Continuous Integration tools ? Integrate the sample application with Jenkins’ Continuous Integration server ? Utilize Netflix OSS to connect your services and provide resilience to your application ? Provide security to your application using Keycloak In Detail The book starts by introducing you to WildFly Swarm—a tool that allows you to create runnable microservices from Java EE components. You’ll learn the basics of Swarm operation—creating a microservice containing only the parts of enterprise runtime needed in a specific case. Later, you’ll learn how to configure and test those services. In order to deploy our services in the cloud, we’ll use OpenShift. You’ll get to know basic information on its architecture, features, and relationship to Docker and Kubernetes. Later, you’ll learn how to deploy and configure your services to run in the OpenShift cloud. In the last part of the book, you’ll see how to make your application production-ready. You’ll find out how to configure continuous integration for your services using Jenkins, make your application resistant to network failures using Hystrix, and how to secure them using Keycloak. By the end of the book, you’ll have a fully functional example application and will have practical knowledge of Java EE cloud development that can be used as a reference in your other projects. Style and approach This example-based tutorial guides you step by step through creating an application based on well-known Java EE technologies (JAX-RS, CDI, JPA, and JSF) and modern architectural patterns.