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Learn Computer Science with Swift: Computation Concepts, Programming Paradigms, Data Management, and Modern Component Architectures with Swift and Playgrounds
Learn Computer Science with Swift: Computation Concepts, Programming Paradigms, Data Management, and Modern Component Architectures with Swift and Playgrounds

Master the basics of solving logic puzzles, and creating algorithms using Swift on Apple platforms. This book is based on the curriculum currently being used in common computer classes. You’ll learn to automate algorithmic processes that scale using Swift in the context of iOS, macOS, tvOS, and watchOS.

Begin by...

Domain-Specific Languages in R: Advanced Statistical Programming
Domain-Specific Languages in R: Advanced Statistical Programming

Gain an accelerated introduction to domain-specific languages in R, including coverage of regular expressions. This compact, in-depth book shows you how DSLs are programming languages specialized for a particular purpose, as opposed to general purpose programming languages. Along the way, you’ll learn to specify tasks...

Programming LEGO® EV3 My Blocks: Teaching Concepts and Preparing for FLL® Competition (Technology in Action)
Programming LEGO® EV3 My Blocks: Teaching Concepts and Preparing for FLL® Competition (Technology in Action)

Program Lego® My Blocks to accurately perform navigation functions on competition mats, such as moving forward and backward quickly and precisely, turning, following walls, and following lines. This book features extensive illustrations help to bring each step and concept to life so that you can easily follow along. 

...
Veracity of Big Data: Machine Learning and Other Approaches to Verifying Truthfulness
Veracity of Big Data: Machine Learning and Other Approaches to Verifying Truthfulness
Examine the problem of maintaining the quality of big data and discover novel solutions. You will learn the four V’s of big data, including veracity, and study the problem from various angles. The solutions discussed are drawn from diverse areas of engineering and math, including machine learning, statistics, formal methods, and...
Practical Web Scraping for Data Science: Best Practices and Examples with Python
Practical Web Scraping for Data Science: Best Practices and Examples with Python

This book provides a complete and modern guide to web scraping, using Python as the programming language, without glossing over important details or best practices. Written with a data science audience in mind, the book explores both scraping and the larger context of web technologies in which it operates, to ensure full...

DevOps for SharePoint: With Packer, Terraform, Ansible, and Vagrant
DevOps for SharePoint: With Packer, Terraform, Ansible, and Vagrant
Deploy a SharePoint farm in a repeatable, predictable, and reliable fashion using Infrastructure as Code (IaC) techniques to automate provisioning. Savvy IT pros will learn how to use DevOps practices and open source tools to greatly reduce costs, and streamline management operations for SharePoint farms deployed via Amazon Web Services...
Jenkins Fundamentals: Accelerate deliverables, manage builds, and automate pipelines with Jenkins
Jenkins Fundamentals: Accelerate deliverables, manage builds, and automate pipelines with Jenkins

Continuous integration with Jenkins speeds up your projects and saves you time and money

Key Features

  • Get a perfect balance of theories and hands-on activities
  • Apply continuous integration and delivery to your workflow
  • Explore concepts such as the plugin...
How Open Source Ate Software: Understand the Open Source Movement and So Much More
How Open Source Ate Software: Understand the Open Source Movement and So Much More

Learn how free software became open source and how you can sell open source software. This book provides a historical context of how open source has thoroughly transformed how we write software, how we cooperate, how we communicate, how we organize, and, ultimately, how we think about business values.

You’ll look...

Beginning Backup and Restore for SQL Server: Data Loss Management and Prevention Techniques
Beginning Backup and Restore for SQL Server: Data Loss Management and Prevention Techniques
As database administrators, our primary duty is to protect the data in the databases we are responsible for. This data represents the heart and soul of the company employing us, and could destroy a business if not maintained properly. In this context, the proper application of a sound backup and restore solution is absolutely...
The Full Stack Developer: Your Essential Guide to the Everyday Skills Expected of a Modern Full Stack Web Developer
The Full Stack Developer: Your Essential Guide to the Everyday Skills Expected of a Modern Full Stack Web Developer

Understand the technical foundations, as well as the non-programming skills needed to be a successful full stack web developer. This book reveals the reasons why a truly successful full stack developer does more than write code. 

You will learn the principles of the topics needed to help a developer new to agile or full
...
Practical PHP 7, MySQL 8, and MariaDB Website Databases: A Simplified Approach to Developing Database-Driven Websites
Practical PHP 7, MySQL 8, and MariaDB Website Databases: A Simplified Approach to Developing Database-Driven Websites
Build interactive, database-driven websites with PHP 7, MySQL 8, and MariaDB. The focus of this book is on getting you up and running as quickly as possible with real-world applications. In the first two chapters, you will set up your development and testing environment, and then build your first PHP and MariaDB or...
Data Mining in Agriculture (Springer Optimization and Its Applications)
Data Mining in Agriculture (Springer Optimization and Its Applications)

Data Mining in Agriculture represents a comprehensive effort to provide graduate students and researchers with an analytical text on data mining techniques applied to agriculture and environmental related fields. This book presents both theoretical and practical insights with a focus on presenting the context of each data mining...

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