MediaWiki Skins Design. Designing attractive skins and templates for your MediaWiki site

Richard Carter, Kul Takanao Wadhwa

Jira Work Management for Business Teams. Accelerate digital transformation and modernize your organization with Jira Work Management

John Funk

Jira Work Management (JWM) is the newest project management tool from Atlassian, replacing Atlassian's previous product, Jira Core Cloud. While Jira Software focuses on development groups, JWM is specifically targeted toward business teams in your organization, such as human resources, accounting, legal, and marketing, enabling these functional groups to manage and enhance their work, as well as stay connected with their company's developers and other technical groups. This book helps you to explore Jira project templates and work creation and guides you in modifying a board, workflow, and associated schemes.Jira Work Management for Business Teams takes a hands-on approach to JWM implementation and associated processes that will help you get up and running with Jira and make you productive in no time. As you explore the toolset, you'll find out how to create reports, forms, and dashboards. The book also shows you how to manage screens, field layouts, and administer your JWM projects effectively. Finally, you'll get to grips with the basics of creating automation rules and the most popular use cases.By the end of this Jira book, you'll be able to build and manage your own Jira Work Management projects and make basic project-related adjustments to achieve optimal productivity.

Learning D3.js Mapping. Build stunning maps and visualizations using D3.js

Thomas Newton, Oscar Villarreal

iOS 9 Game Development Essentials. Design, build, and publish an iOS game from scratch using the stunning features of iOS 9

Chuck Gaffney

Hands-On Neural Networks with TensorFlow 2.0. Understand TensorFlow, from static graph to eager execution, and design neural networks

Paolo Galeone

TensorFlow, the most popular and widely used machine learning framework, has made it possible for almost anyone to develop machine learning solutions with ease. With TensorFlow (TF) 2.0, you'll explore a revamped framework structure, offering a wide variety of new features aimed at improving productivity and ease of use for developers.This book covers machine learning with a focus on developing neural network-based solutions. You'll start by getting familiar with the concepts and techniques required to build solutions to deep learning problems. As you advance, you’ll learn how to create classifiers, build object detection and semantic segmentation networks, train generative models, and speed up the development process using TF 2.0 tools such as TensorFlow Datasets and TensorFlow Hub.By the end of this TensorFlow book, you'll be ready to solve any machine learning problem by developing solutions using TF 2.0 and putting them into production.

Open Source Projects - Beyond Code. A blueprint for scalable and sustainable open source projects

John Mertic

Open source is ubiquitous in our society, with countless existing projects, and new ones emerging every day. It follows a scratch-your-own-itch model where contributors and maintainers drive the project forward. Through Open Source Projects - Beyond Code, you'll learn what it takes to develop a successful, scalable, and sustainable open source project. In this book, you’ll explore the full life cycle of open source projects, from inception, through launch, to maturity, and then discover how to sunset an open source project responsibly. Along the way, you’ll learn the concepts of licensing, governance, community building, ecosystem management, and growing maintainers and contributors, as well as understand how other open source projects have been successful or might have struggled in some areas. You can use this book as an end-to-end guide or reference material for the future. By the end of this book, you’ll be able to accelerate your career in open source. Your newly acquired skills will help you stay ahead of the curve even with the ever-evolving nature of technology.

Scalable Data Analytics with Azure Data Explorer. Modern ways to query, analyze, and perform real-time data analysis on large volumes of data

Jason Myerscough, Arunee Singhchawla

Azure Data Explorer (ADX) enables developers and data scientists to make data-driven business decisions. This book will help you rapidly explore and query your data at scale and secure your ADX clusters.The book begins by introducing you to ADX, its architecture, core features, and benefits. You'll learn how to securely deploy ADX instances and navigate through the ADX Web UI, cover data ingestion, and discover how to query and visualize your data using the powerful Kusto Query Language (KQL). Next, you'll get to grips with KQL operators and functions to efficiently query and explore your data, as well as perform time series analysis and search for anomalies and trends in your data. As you progress through the chapters, you'll explore advanced ADX topics, including deploying your ADX instances using Infrastructure as Code (IaC). The book also shows you how to manage your cluster performance and monthly ADX costs by handling cluster scaling and data retention periods. Finally, you'll understand how to secure your ADX environment by restricting access with best practices for improving your KQL query performance.By the end of this Azure book, you'll be able to securely deploy your own ADX instance, ingest data from multiple sources, rapidly query your data, and produce reports with KQL and Power BI.

VMware vRealize Orchestrator Essentials. Get hands-on experience with vRealize Orchestrator and automate your VMware environment

Daniel Langenhan