Learn QGIS, 4th Edition
QGIS 3.4 is the first LTR (long term release) of QGIS version 3. This is a giant leap forward for the project with tons of new features and impactful changes. Learn QGIS is fully updated for QGIS 3.4, covering its processing engine update, Python 3 de-facto coding environment, and the GeoPackage format. This book will help you get started on your QGIS journey, guiding you to develop your own processing pathway. You will explore the user interface, loading your data, editing, and then creating data. QGIS often surprises new users with its mapping capabilities; you will discover how easily you can style and create your first map. But that's not all! In the final part of the book, you'll learn about spatial analysis and the powerful tools in QGIS, and conclude by looking at Python processing options. By the end of the book, you will have become proficient in geospatial analysis using QGIS and Python. ...
QGIS 3.4 is the first LTR (long term release) of QGIS version 3. This is a giant leap forward for the project with tons of new features and impactful changes. Learn QGIS is fully updated for QGIS 3.4, covering its processing engine update, Python 3 de-facto coding environment, and the GeoPackage format. This book will help you get started on your QGIS journey, guiding you to develop your own processing pathway. You will explore the user interface, loading your data, editing, and then creating data. QGIS often surprises new users with its mapping capabilities; you will discover how easily you can style and create your first map. But that's not all! In the final part of the book, you'll learn about spatial analysis and the powerful tools in QGIS, and conclude by looking at Python processing options. By the end of the book, you will have become proficient in geospatial analysis using QGIS and Python. ...
Machine Learning with AWS
Machine Learning with AWS is the right place to start if you are a beginner interested in learning useful artificial intelligence (AI) and machine learning skills using Amazon Web Services (AWS), the most popular and powerful cloud platform. You will learn how to use AWS to transform your projects into apps that work at high speed and are highly scalable. From natural language processing (NLP) applications, such as language translation and understanding news articles and other text sources, to creating chatbots with both voice and text interfaces, you will learn all that there is to know about using AWS to your advantage. You will also understand how to process huge numbers of images fast and create machine learning models. By the end of this book, you will have developed the skills you need to efficiently use AWS in your machine learning and artificial intelligence projects. ...
Machine Learning with AWS is the right place to start if you are a beginner interested in learning useful artificial intelligence (AI) and machine learning skills using Amazon Web Services (AWS), the most popular and powerful cloud platform. You will learn how to use AWS to transform your projects into apps that work at high speed and are highly scalable. From natural language processing (NLP) applications, such as language translation and understanding news articles and other text sources, to creating chatbots with both voice and text interfaces, you will learn all that there is to know about using AWS to your advantage. You will also understand how to process huge numbers of images fast and create machine learning models. By the end of this book, you will have developed the skills you need to efficiently use AWS in your machine learning and artificial intelligence projects. ...
Build Mobile Apps with Ionic 4 and Firebase
Leverage your existing web development skills to learn the whole cycle of hybrid mobile app development. This edition is fully updated with the changes in Ionic 4, including Stencil, a new framework based on the web components standard. It explains Ionic and Firebase in detail, including how to create hybrid mobile apps using using React and Vue, and run those apps in an internal browser using a wrapper created by Apache Cordova. Build Mobile Apps with Ionic 4 and Firebase shows you how to focus on developing front-end code, without needing to manage any back-end code or servers. You'll learn in the context of building a Hacker News client app, which can view top stories in Hacker News, view comments of a story, and add stories to favorites. Explore how Ionic 4 uses Angular as the JavaScript framework to easily develop apps using an interface similar to native apps, and how to access Firebase, a real-time database, in web apps using JavaScript. Create content-based Ionic mo ...
Leverage your existing web development skills to learn the whole cycle of hybrid mobile app development. This edition is fully updated with the changes in Ionic 4, including Stencil, a new framework based on the web components standard. It explains Ionic and Firebase in detail, including how to create hybrid mobile apps using using React and Vue, and run those apps in an internal browser using a wrapper created by Apache Cordova. Build Mobile Apps with Ionic 4 and Firebase shows you how to focus on developing front-end code, without needing to manage any back-end code or servers. You'll learn in the context of building a Hacker News client app, which can view top stories in Hacker News, view comments of a story, and add stories to favorites. Explore how Ionic 4 uses Angular as the JavaScript framework to easily develop apps using an interface similar to native apps, and how to access Firebase, a real-time database, in web apps using JavaScript. Create content-based Ionic mo ...
Learn Android Studio 3 with Kotlin
Build Android apps using the popular and efficient Android Studio 3 suite of tools, an integrated development environment (IDE) with which Android developers can now use the Kotlin programming language. With this book, you'll learn the latest and most productive tools in the Android tools ecosystem, ensuring quick Android app development and minimal effort on your part. Along the way, you'll use Android Studio to develop apps tier by tier through practical examples. These examples cover core Android topics such as Activities, Intents, BroadcastReceivers, Services and AsyncTask. Then, you'll learn how to publish your apps and sell them online and in the Google Play store. Use Android Studio 3 to quickly and confidently build your first Android apps; Build an Android user interface using activities and layouts, event handling, images, menus and the action bar; Incorporate new elements including fragments; Learn how data is persisted; Use Kotlin to build apps. ...
Build Android apps using the popular and efficient Android Studio 3 suite of tools, an integrated development environment (IDE) with which Android developers can now use the Kotlin programming language. With this book, you'll learn the latest and most productive tools in the Android tools ecosystem, ensuring quick Android app development and minimal effort on your part. Along the way, you'll use Android Studio to develop apps tier by tier through practical examples. These examples cover core Android topics such as Activities, Intents, BroadcastReceivers, Services and AsyncTask. Then, you'll learn how to publish your apps and sell them online and in the Google Play store. Use Android Studio 3 to quickly and confidently build your first Android apps; Build an Android user interface using activities and layouts, event handling, images, menus and the action bar; Incorporate new elements including fragments; Learn how data is persisted; Use Kotlin to build apps. ...
Practical Web Development with Haskell
Learn how to advance your skill level of Haskell, and use this language for practical web development. This book uses a direct, no nonsense approach, so you no longer need to spend extra time reading the documentation, blog posts, and forums to understand how to use Haskell - all that knowledge is provided in one coherent resource. You'll start by reviewing how multiple facets of web development are done in Haskell, such as routing, building HTMLs, interacting with databases, caches, and queues, etc. You'll then move on to using notable libraries, such as "scotty" for routings, "digestive-functor" for input validation, and "postgresql-simple" for interacting with databases. In the later chapters, you'll learn how all of these libraries can be used together by working on a fully functioning project deployed on Heroku. Set up a productive Haskell development environment; Review basic tasks that are encountered when building web applications; Explore how to interact with externa ...
Learn how to advance your skill level of Haskell, and use this language for practical web development. This book uses a direct, no nonsense approach, so you no longer need to spend extra time reading the documentation, blog posts, and forums to understand how to use Haskell - all that knowledge is provided in one coherent resource. You'll start by reviewing how multiple facets of web development are done in Haskell, such as routing, building HTMLs, interacting with databases, caches, and queues, etc. You'll then move on to using notable libraries, such as "scotty" for routings, "digestive-functor" for input validation, and "postgresql-simple" for interacting with databases. In the later chapters, you'll learn how all of these libraries can be used together by working on a fully functioning project deployed on Heroku. Set up a productive Haskell development environment; Review basic tasks that are encountered when building web applications; Explore how to interact with externa ...
Exploring Data Science
There's never been a better time to get into data science. But where do you start? Data Science is a broad field, incorporating aspects of statistics, machine learning, and data engineering. It's easy to become overwhelmed, or end up learning about a small section of data science or a single methodology. Exploring Data Science is a collection of five hand-picked chapters introducing you to various areas in data science and explaining which methodologies work best for each. John Mount and Nina Zumel, authors of Practical Data Science with R, selected these chapters to give you the big picture of the many data domains. You'll learn about time series, neural networks, text analytics, and more. As you explore different modeling practices, you'll see practical examples of how R, Python, and other languages are used in data science. Along the way, you'll experience a sample of Manning books you may want to add to your library. ...
There's never been a better time to get into data science. But where do you start? Data Science is a broad field, incorporating aspects of statistics, machine learning, and data engineering. It's easy to become overwhelmed, or end up learning about a small section of data science or a single methodology. Exploring Data Science is a collection of five hand-picked chapters introducing you to various areas in data science and explaining which methodologies work best for each. John Mount and Nina Zumel, authors of Practical Data Science with R, selected these chapters to give you the big picture of the many data domains. You'll learn about time series, neural networks, text analytics, and more. As you explore different modeling practices, you'll see practical examples of how R, Python, and other languages are used in data science. Along the way, you'll experience a sample of Manning books you may want to add to your library. ...
Exploring .NET Core with Microservices, ASP.NET Core, and Entity Framework Core
Windows developers have always enjoyed the productivity boost you get with the .NET platform, tools like Entity Framework and ASP.NET, and the amazingly-powerful C# language. Now, .NET Core extends those same benefits to Linux-based systems, offering a true cross-platform solution for enterprise application development. The .NET Core tools, including Entity Framework Core and ASP.NET Core, are lightweight and modular, and they offer similar performance to native Linux and JVM-based frameworks without requiring you to learn a new toolset or rebuild your applications. In a world where platform lock-in is an unpardonable sin, .NET Core offers a perfect pathway to the cloud-based, distributed environments that rule the day. Exploring .NET Core with Microservices, ASP.NET Core, and Entity Framework Core is a collection of five hand-picked chapters introducing you to the art of applying modern development practices and patterns to your .NET Core projects. In it, you'll get a quick overvie ...
Windows developers have always enjoyed the productivity boost you get with the .NET platform, tools like Entity Framework and ASP.NET, and the amazingly-powerful C# language. Now, .NET Core extends those same benefits to Linux-based systems, offering a true cross-platform solution for enterprise application development. The .NET Core tools, including Entity Framework Core and ASP.NET Core, are lightweight and modular, and they offer similar performance to native Linux and JVM-based frameworks without requiring you to learn a new toolset or rebuild your applications. In a world where platform lock-in is an unpardonable sin, .NET Core offers a perfect pathway to the cloud-based, distributed environments that rule the day. Exploring .NET Core with Microservices, ASP.NET Core, and Entity Framework Core is a collection of five hand-picked chapters introducing you to the art of applying modern development practices and patterns to your .NET Core projects. In it, you'll get a quick overvie ...
Hands-On Data Science with SQL Server 2017
SQL Server is a relational database management system that enables you to cover end-to-end data science processes using various inbuilt services and features. Hands-On Data Science with SQL Server 2017 starts with an overview of data science with SQL to understand the core tasks in data science. You will learn intermediate-to-advanced level concepts to perform analytical tasks on data using SQL Server. The book has a unique approach, covering best practices, tasks, and challenges to test your abilities at the end of each chapter. You will explore the ins and outs of performing various key tasks such as data collection, cleaning, manipulation, aggregations, and filtering techniques. As you make your way through the chapters, you will turn raw data into actionable insights by wrangling and extracting data from databases using T-SQL. You will get to grips with preparing and presenting data in a meaningful way, using Power BI to reveal hidden patterns. In the concluding chapters, you wi ...
SQL Server is a relational database management system that enables you to cover end-to-end data science processes using various inbuilt services and features. Hands-On Data Science with SQL Server 2017 starts with an overview of data science with SQL to understand the core tasks in data science. You will learn intermediate-to-advanced level concepts to perform analytical tasks on data using SQL Server. The book has a unique approach, covering best practices, tasks, and challenges to test your abilities at the end of each chapter. You will explore the ins and outs of performing various key tasks such as data collection, cleaning, manipulation, aggregations, and filtering techniques. As you make your way through the chapters, you will turn raw data into actionable insights by wrangling and extracting data from databases using T-SQL. You will get to grips with preparing and presenting data in a meaningful way, using Power BI to reveal hidden patterns. In the concluding chapters, you wi ...
Machine Learning Fundamentals
As machine learning algorithms become popular, new tools that optimize these algorithms are also developed. Machine Learning Fundamentals explains you how to use the syntax of scikit-learn. You'll study the difference between supervised and unsupervised models, as well as the importance of choosing the appropriate algorithm for each dataset. You'll apply unsupervised clustering algorithms over real-world datasets, to discover patterns and profiles, and explore the process to solve an unsupervised machine learning problem. The focus of the book then shifts to supervised learning algorithms. You'll learn to implement different supervised algorithms and develop neural network structures using the scikit-learn package. You'll also learn how to perform coherent result analysis to improve the performance of the algorithm by tuning hyperparameters. By the end of this book, you will have gain all the skills required to start programming machine learning algorithms. ...
As machine learning algorithms become popular, new tools that optimize these algorithms are also developed. Machine Learning Fundamentals explains you how to use the syntax of scikit-learn. You'll study the difference between supervised and unsupervised models, as well as the importance of choosing the appropriate algorithm for each dataset. You'll apply unsupervised clustering algorithms over real-world datasets, to discover patterns and profiles, and explore the process to solve an unsupervised machine learning problem. The focus of the book then shifts to supervised learning algorithms. You'll learn to implement different supervised algorithms and develop neural network structures using the scikit-learn package. You'll also learn how to perform coherent result analysis to improve the performance of the algorithm by tuning hyperparameters. By the end of this book, you will have gain all the skills required to start programming machine learning algorithms. ...
Server-Side Enterprise Development with Angular
With the help of Server-Side Enterprise Development with Angular, equip yourself with the skills required to create modern, progressive web applications that load quickly and efficiently. This fast-paced book is a great way to learn how to build an effective UX by using the new features of Angular 7 beta, without wasting efforts in searching for referrals. To start off, you'll install Angular CLI and set up a working environment, followed by learning to distinguish between the container and presentational components. You'll explore advanced concepts such as making requests to a REST API from an Angular application, creating a web server using Node.js and Express, and adding dynamic metadata. You'll also understand how to implement and configure a service worker using Angular PWA and deploy the server-side rendered app to the cloud. By the end of this book, you'll have developed skills to serve your users views that load instantly, while reaping all the SEO benefits of improved pa ...
With the help of Server-Side Enterprise Development with Angular, equip yourself with the skills required to create modern, progressive web applications that load quickly and efficiently. This fast-paced book is a great way to learn how to build an effective UX by using the new features of Angular 7 beta, without wasting efforts in searching for referrals. To start off, you'll install Angular CLI and set up a working environment, followed by learning to distinguish between the container and presentational components. You'll explore advanced concepts such as making requests to a REST API from an Angular application, creating a web server using Node.js and Express, and adding dynamic metadata. You'll also understand how to implement and configure a service worker using Angular PWA and deploy the server-side rendered app to the cloud. By the end of this book, you'll have developed skills to serve your users views that load instantly, while reaping all the SEO benefits of improved pa ...