Publisher: Packt Publishing
Charalampos S Arapidis, Charalampos S. Arapidis
Sonar is an open source platform used by development teams to manage source code quality. Sonar has been developed with this main objective in mind: make code quality management accessible to everyone with minimal effort. As such, Sonar provides code analyzers, reporting tools, manual reviews, defect-hunting modules, and TimeMachine as core functionalities. It also comes with a plugin mechanism enabling the community to extend the functionality, making Sonar the one-stop-shop for source code quality by addressing not only the developer's requirements, but also the manager's needs.The Sonar Code Quality Testing Essentials book will help you understand the different factors that define code quality and how to improve your own or your team's code using Sonar.You will learn to use Sonar effectively and explore the quality of your source code in the following axes:Coding StandardsDocumentation and CommentsPotential Bugs and DefectsUnit Testing CoverageDesign and ComplexityThrough practical examples, you will customize Sonar components and widgets to identify areas where your source code is lacking. The book goes down to proposing good practices and common solutions that you can put to use to improve such code.You will start with installing and setting up a Sonar server and performing your first project analysis. Then you will go through the process of creating a custom and balanced quality profile exploring all Sonar components through practical examples. After reading the book, you will be able to analyze any project using Sonar and know how to read and evaluate quality metrics.Hunting potential bugs and eliminating complexity are the hottest topics regarding code quality. The book will guide you through the process of finding such problematic areas, leveraging and customizing the most appropriate components. Knowing the best tool for each task is essential. While you improve code and design through the book, you will notice that metrics go high and alerts turn green. You will use the Time Machine and the Timeline to examine how your changes affected the quality.Sonar Code Quality Testing Essentials will enable you to perform custom quality analysis on any Java project and quickly gain insight on even large code bases, as well as provide possible solutions to code defects and complexity matters.
Source SDK Game Development Essentials. Develop engaging and immersive mods with Source SDK
Brett Joseph Bernier, Brett Bernier
Alistair McDonald, Brian Fitzpatrick
As a busy administrator, you know Spam is a major distraction in todays network. The effects range from inappropriate content arriving in the mailboxes up to contact email addresses placed on a website being deluged with unsolicited mail, causing valid enquiries and sales leads to be lost and wasting employee time. The perception of the problem of spam is as big as the reality. In response to the growing problem of spam, a number of free and commercial applications and services have been developed to help network administrators and email users combat spam. Its up to you to choose and then get the most out of an antispam solution. Free to use, flexible, and effective, SpamAssassin has become the most popular open source antispam application. Its unique combination of power and flexibility make it the right choice. This book will now help you set up and optimize SpamAssassin for your network.
Spark for Data Science. Click here to enter text
Srinivas Duvvuri, Bikramaditya Singhal
This is the era of Big Data. The words ‘Big Data’ implies big innovation and enables a competitive advantage for businesses. Apache Spark was designed to perform Big Data analytics at scale, and so Spark is equipped with the necessary algorithms and supports multiple programming languages.Whether you are a technologist, a data scientist, or a beginner to Big Data analytics, this book will provide you with all the skills necessary to perform statistical data analysis, data visualization, predictive modeling, and build scalable data products or solutions using Python, Scala, and R.With ample case studies and real-world examples, Spark for Data Science will help you ensure the successful execution of your data science projects.
Spatial Analytics with ArcGIS. Build powerful insights with spatial analytics
Eric Pimpler
Spatial statistics has the potential to provide insight that is not otherwise available through traditional GIS tools. This book is designed to introduce you to the use of spatial statistics so you can solve complex geographic analysis.The book begins by introducing you to the many spatial statistics tools available in ArcGIS. You will learn how to analyze patterns, map clusters, and model spatial relationships with these tools. Further on, you will explore how to extend the spatial statistics tools currently available in ArcGIS, and use the R programming language to create custom tools in ArcGIS through the ArcGIS Bridge using real-world examples. At the end of the book, you will be presented with two exciting case studies where you will be able to practically apply all your learning to analyze and gain insights into real estate data.
Maxwell Flitton
Python has made software development easier, but it falls short in several areas including memory management that lead to poor performance and security. Rust, on the other hand, provides memory safety without using a garbage collector, which means that with its low memory footprint, you can build high-performant and secure apps relatively easily. However, rewriting everything in Rust can be expensive and risky as there might not be package support in Rust for the problem being solved. This is where Python bindings and pip come in.This book will help you, as a Python developer, to start using Rust in your Python projects without having to manage a separate Rust server or application. Seeing as you'll already understand concepts like functions and loops, this book covers the quirks of Rust such as memory management to code Rust in a productive and structured manner. You'll explore the PyO3 crate to fuse Rust code with Python, learn how to package your fused Rust code in a pip package, and then deploy a Python Flask application in Docker that uses a private Rust pip module. Finally, you'll get to grips with advanced Rust binding topics such as inspecting Python objects and modules in Rust.By the end of this Rust book, you'll be able to develop safe and high-performant applications with better concurrency support.