Books published by Packt Publishing Limited

Python is the language of choice for millions of developers worldwide, due to its gentle learning curve as well as its vast applications in day-to-day programming. It serves the purpose of building great web services in the RESTful architecture. This second edition will show you the best tools you can use to build your own web services.

Machine Learning with Apache Spark provides a hands-on introduction to Big Data and Advanced Analytics. In a world driven by mass data creation and consumption, this book combines the latest scalable technologies with advanced analytical algorithms using real-world use-cases in order to derive actionable insights from Big Data in real-time.

This book will teach you all the processes you need to build a predictive analytics solution: understanding the problem, preparing datasets, exploring relationships, model building, tuning, evaluation, and deployment. You'll earn to use Python and its data analytics ecosystem to implement the main techniques used in real-world projects.

Swift is continuing to gain traction not only amongst mobile developers but also as a server-side language. This book demonstrates how to apply design patterns and best practices in real-life situations, for new or already existing projects. By the end of the book, you'll able to build applications that are scalable, faster and easier to maintain.

Learn how to use Apache Kafka for efficient processing of distributed applications. This book focuses on programming rather than configuration management of Kafka clusters or Dev Ops. Each chapter focuses on a practical aspect and tries to avoid the tedious theoretical sections. By the end of this book, you will be familiar with solving ...

JavaScript has evolved into a language that you can use on any platform. The Modern JavaScript Web Development Cookbook is a perfect blend of solutions for traditional JavaScript development and modern areas that developers have recently been exploring with JavaScript. This problem solving guide teaches you popular problems solving techniques ...

Type-Driven Development is an approach to programming that uses a static type system to achieve desirable attributes such as safety and efficiency. This book will cover Type-Driven Development and how to put the type system to use to check that your code is logically consistent.

Julia offers a unique combination of performance and productivity and promises to change scientific computing as well as generic programming. It has C-like execution speed with excellent applications in multi-core, GPU, and cloud computing. Julia Programming Projects explains all this with the support of Julia v1.0.

System Center Data Protection Manager (SCDPM) is a robust enterprise backup and recovery system that contributes to your BCDR strategy by facilitating the backup and recovery of enterprise data. This book contains recipes that will help you upgrade to the latest SCDPM release and it covers the advanced features and functionalities.

Jira is an issue tracker and project management system. With their latest release, the Jira team has now expanded their user base to agile teams as well as business teams. This book provides a comprehensive explanation covering all major components of Jira, including Jira Software, Jira Core, and Jira Service Desk.

This book will take you on a journey of refactoring existing code to adopt dependency injection using the various methods available in Go. You will gain knowledge of how and when to best leverage each technique to transform code into something simple and flexible.

QGIS 3.4 is a user-friendly open source geographic information system (GIS) that runs on Linux, Unix, Mac OS X, and Windows. The book will take you on a journey from firing up QGIS for the first time to developing your own processing pathway. We'll look at the fundamentals of GIS: data creation, data display, creating maps and spatial analysis.

GPUs are designed for maximum throughput, but are subject to low-level subtleties. In contrast, Python is a high-level language that favours ease of use over speed. In this book, we will combine the power of both Python and CUDA to help you create high performing Python applications by using open-source libraries such as PyCUDA and SciKit-CUDA.

Maintaining and deploying Zabbix can be very challenging when things don't work as expected. Problems in servers or any other systems if not efficiently detected can lead to multiple network issues. This book will help you get to grips with the fundamentals of Zabbix and teach you how to monitor your network with confidence and precision.

Selenium WebDriver is a platform-independent API for automating testing of both browser and mobile applications. It is also a core technology in many other browser automation tools, APIs and frameworks. This book will guide you through the WebDriver APIs that are used in automation tests.

This book includes the newly introduced features in PostgreSQL 11, and shows you how to build better PostgreSQL applications, and administer your PostgreSQL database efficiently. You will master the advanced features of PostgreSQL and acquire the necessary skills to build efficient database solutions.

Machine Learning in the healthcare domain is booming because of its abilities to provide accurate and stabilized techniques. This book is packed with new methodologies to create efficient solutions for healthcare analytics. We will build five end-to-end projects to evaluate the efficiency of AI apps to carry out simple-to-complex healthcare ...

Microservices are the newest way of developing web applications. Once you've started down the microservice path, how do you make sure that your applications are still fully tested? This book focuses on the number of approaches for managing the additional testing complexity of multiple independently deployable components.

The purpose of the book is to help a machine learning practitioner gets hands-on experience in working with real-world data and apply modern machine learning algorithms. You will learn to implement each algorithm to a specific industry problem. It covers projects involving both supervised as well as unsupervised learning approaches.

Implementing VMware Horizon 7.7, Third Edition will bring you up to speed with VMware Horizon 7.7 by showing you how to use many of its key features to deploy an end-user computing infrastructure in your own organization.

Understanding the history of the Deep Web, its current state, and its possible evolution, can help you, the reader; better understand the dangers and risks that exist out there. This book helps you access the Deep Web and the Dark Net and also protect yourself while browsing the Deep Web.

IoT and Blockchain are not limited to certain industries or use cases. Almost any business with a network and IoT device can reduce costs, improve business efficiency, and remove single points of failure in networks by implementing Blockchain. This book will help you implement an end-to-end Blockchain and IoT solution using best practices.

Apache Hadoop is a widely used distributed data platform. It enables large datasets to be efficiently processed instead of using one large computer to store and process the data. This book will get you started with the Hadoop ecosystem, and introduce you to the main technical topics such as MapReduce, YARN and HDFS.

Apache Mesos is an open source cluster manager which provides efficient resource isolation and sharing across distributed applications. You will learn how Mesos works and then develop applications. You will learn to make full utilization of machines and simplify the maintenance of a data center with Mesos.

Python Deep Learning Projects book will simplify and ease how deep learning works, and demonstrate how neural networks play a vital role in exploring predictive analytics across different domains. You will explore projects in the field of computational linguistics, computer vision, machine translation, pattern recognition and many more

This book gives you a practical, hands-on understanding of how you can leverage the power of Python and Keras to perform effective deep learning. It presents a unique problem-solution approach to tackle various problems in training different types of neural networks while taking care of the speed and accuracy of these models