Learn QGIS, 4th EditionQGIS 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. ...
Mastering Concurrency in PythonPython is one of the most popular programming languages, with numerous libraries and frameworks that facilitate high-performance computing. Concurrency and parallelism in Python are essential when it comes to multiprocessing and multithreading; they behave differently, but their common aim is to reduce the execution time. This book serves as a comprehensive introduction to various advanced concepts in concurrent engineering and programming.
Mastering Concurrency in Python starts by introducing the concepts and principles in concurrency, right from Amdahl's Law to multithreading programming, followed by elucidating multiprocessing programming, web scraping, and asynchronous I/O, together with common problems that engineers and programmers face in concurrent programming. Next, the book covers a number of advanced concepts in Python concurrency and how they interact with the Python ecosystem, including the Global Interpreter Lock (GIL). Finally, you'll learn how to solve real-world con ...
Machine Learning in Java, 2nd EditionAs the amount of data in the world continues to grow at an almost incomprehensible rate, being able to understand and process data is becoming a key differentiator for competitive organizations. Machine learning applications are everywhere, from self-driving cars, spam detection, document search, and trading strategies, to speech recognition. This makes machine learning well-suited to the present-day era of big data and Data Science. The main challenge is how to transform data into actionable knowledge.
Machine Learning in Java will provide you with the techniques and tools you need. You will start by learning how to apply machine learning methods to a variety of common tasks including classification, prediction, forecasting, market basket analysis, and clustering. The code in this book works for JDK 8 and above, the code is tested on JDK 11.
Moving on, you will discover how to detect anomalies and fraud, and ways to perform activity recognition, image recognition, and text analy ...
Learn Android Studio 3 with KotlinBuild 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. ...
The Essential Guide to HTML5Gain a deep, practical knowledge of HTML and JavaScript that will provide an introduction to programming and enable you to build interactive websites. This completely updated second edition explains HTML, JavaScript and CSS in the context of working examples and contains full-color screen shots of the programs in action.
You'll begin at an introductory level, learning the essentials of HTML5 and JavaScript and programming techniques. Each chapter features either a familiar game such as Hangman, Rock-Paper-Scissors, Craps, Memory, and Blackjack, or a simple type of game, such as a quiz, a maze, or animated simulations. You'll develop solid programming skills that will help when learning other programming languages. Each chapter contains tables revealing the structure of the program with comments for each line of code.
These examples demonstrate the features introduced with HTML5. You'll see how to use canvas elements for line drawing. You can include your own audio and video clip ...
Understanding API SecurityGone are the days when it was acceptable for a piece of software to live in its own little silo, disconnected from the outside world. Today, services are expected to be available for programming, mixing, and building into new applications. The web-based Application Programming Interface, or API, is how services make themselves available in this dynamic world. By exposing an API, a service can find new life and utility far beyond what its core functionality was designed to be. But these APIs need to be secured and protected in order to be truly useful. An API that's simply left open to everyone, with no security controls, cannot be used to protect personalized or sensitive information, which severely limits its usefulness.
The OAuth delegation and authorization protocol is one of the most popular standards for API security today. Understanding API Security is a selection of chapters from several Manning books that give you some context for how API security works in the real world by ...
Exploring SwiftSwift is more than just a modern replacement for Objective-C. Ever since going open source in 2015, Swift has evolved into a language that is powerful, modern, and expressive. It's used everywhere from web development to server-side development and cloud-based services! There's a rich, deep world of Swift skills for delivering cleaner, faster code. All you have to do is find out how to use it.
Exploring Swift distils the knowledge of three expert Manning authors, introducing you to how Swift can handle a wide array of unique problems. Hand-picked by iOS developer, Manning author, and mentor Craig Grummitt, this quick-start guide has you exploring objects, modeling data with enums, and solving graph issues, all with just Swift, giving you an understanding of the language in the worlds of data and beyond. When you finish, you'll have a better idea of what you can use Swift for, whether you're building the next big iOS app, taking it to the server, or even writing serverless functions! ...
Exploring MicroservicesIn the last few years, microservice-based architecture has become one of the hottest innovations in software and web development. By breaking down your applications into smaller microservices that work together, you can experience a more efficient workflow, enable easier communication between team members, and create a robust, scalable application that is easier to modify and that can handle points of failure without causing the whole app to collapse on itself.
Exploring Microservices is a collection of hand-picked chapters that introduce the concept of microservices, detail what it means to build a microservice-structured application, and provide insights you need to start building your own. Christian Horsdal Gammelgaard, author of Microservices in .NET Core, has selected hands-on topics to show you where to begin in the world of microservices. You'll get an overview of microservices and how they collaborate through commands, queries, and events, and then you'll see what it takes t ...
Exploring Data with PythonPython has become a required skill for data science, and it's easy to see why. It's powerful, easy to learn, and includes the libraries like Pandas, Numpy, and Scikit that help you slice, scrub, munge, and wrangle your data. Even with a great language and fantastic tools though, there's plenty to learn!
Exploring Data with Python is a collection of chapters from three Manning books, hand-picked by Naomi Ceder, the chair of the Python Software Foundation. This free eBook starts building your foundation in data science processes with practical Python tips and techniques for working and aspiring data scientists. In it, you'll get a clear introduction to the data science process. Then, you'll practice using Python for processing, cleaning, and exploring interesting datasets. Finally, you'll get a practical demonstration of modelling and prediction with classification and regression. When you finish, you'll have a good overview of Python in data science and a well-lit path to continue yo ...
Docker Quick Start GuideDocker is an open source software platform that helps you with creating, deploying, and running your applications using containers. This book is your ideal introduction to Docker and containerization.
You will learn how to set up a Docker development environment on a Linux, Mac, or Windows workstation, and learn your way around all the commands to run and manage your Docker images and containers.
You will explore the Dockerfile and learn how to build your own enterprise-grade Docker images. Then you will learn about Docker networks, Docker swarm, and Docker volumes, and how to use these features with Docker stacks in order to define, deploy, and maintain highly-scalable, fault-tolerant multi-container applications.
Finally, you will learn how to leverage Docker with Jenkins to automate the building of Docker images and the deployment of Docker containers. By the end of this book, you will be well prepared when it comes to using Docker for your next project. ...