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For the first time, the most innovative food policy solutions in the Nordic Region have been brought together in a single document. The Solutions Menu includes 24 policies that aim to change food consumption and intends to inspire new and robust policy responses to the societal and environmental challenges caused by our current food systems. The Solutions Menu is produced by the Nordic Food Policy Lab, one of six flagship projects under the Nordic prime ministers’ Nordic Solutions to Global Challenges initiative.
HTML5 brings the biggest changes that HTML has seen in years. Web designers and developers now have a whole host of new techniques up their sleeves, from displaying video and audio natively in HTML, to creating realtime graphics directly on a web page without the need for a plugin. But all of these new technologies bring more tags to learn and more avenues for things to go wrong. HTML5 Solutions provides a collection of solutions to all of the most common HTML5 problems. Every solution contains sample code that is production-ready and can be applied to any project.
This reference and recipe book for institutional foodservice and health care professionals includes the principles of planning modified diets as well as 400 regular and special diet recipes which can be prepared in large (50) or small (4) quantities.
Learn to design more effective and sophisticated business reports While most users of SQL Server Reporting Services are now comfortable designing and building simple reports, business today demands increasingly complex reporting. In this book, top Reporting Services design experts have contributed step-by-step recipes for creating various types of reports. Written by well-known SQL Server Reporting Services experts, this book gives you the tools to meet your clients' needs
Build cost-effective and robust cloud solutions with Google Cloud Platform (GCP) using these simple and practical recipes Key FeaturesExplore the various service offerings of the GCPHost a Python application on Google Compute EngineSecurely maintain application states with Cloud Storage, Datastore, and BigtableBook Description GCP is a cloud computing platform with a wide range of products and services that enable you to build and deploy cloud-hosted applications. This Learning Path will guide you in using GCP and designing, deploying, and managing applications on Google Cloud. You will get started by learning how to use App Engine to access Google's scalable hosting and build software that runs on this framework. With the help of Google Compute Engine, you’ll be able to host your workload on virtual machine instances. The later chapters will help you to explore ways to implement authentication and security, Cloud APIs, and command-line and deployment management. As you hone your skills, you’ll understand how to integrate your new applications with various data solutions on GCP, including Cloud SQL, Bigtable, and Cloud Storage. Following this, the book will teach you how to streamline your workflow with tools, including Source Repositories, Container Builder, and Stackdriver. You'll also understand how to deploy and debug services with IntelliJ, implement continuous delivery pipelines, and configure robust monitoring and alerts for your production systems. By the end of this Learning Path, you'll be well versed with GCP’s development tools and be able to develop, deploy, and manage highly scalable and reliable applications. This Learning Path includes content from the following Packt products: Google Cloud Platform for Developers Ted Hunter and Steven PorterGoogle Cloud Platform Cookbook by Legorie Rajan PSWhat you will learnHost an application using Google Cloud FunctionsMigrate a MySQL database to Cloud SpannerConfigure a network for a highly available application on GCPLearn simple image processing using Storage and Cloud FunctionsAutomate security checks using Policy ScannerDeploy and run services on App Engine and Container EngineMinimize downtime and mitigate issues with Stackdriver Monitoring and DebuggerIntegrate with big data solutions, including BigQuery, Dataflow, and Pub/SubWho this book is for This Learning Path is for IT professionals, engineers, and developers who want to implement Google Cloud in their organizations. Administrators and architects planning to make their organization more efficient with Google Cloud will also find this Learning Path useful. Basic understanding of GCP and its services is a must.
This book is for any Flex developer who is comfortable with the basics and wants to take their knowledge to the next level. It provides a library of over 100 solutions to common problems. Each solution takes you through the workings of the example step-by-step and then presents some expert's tips, which will take your understanding further and give you unique insights into Flex development. Coverage includes Flex 2 components, charting, working with remote data, data validation, displaying data with list based controls, controlling the look and feel of applications, application security, and working with dynamic data sources.
An Inconvenient Truth with recipes: a fresh, beautifully designed cookbook with valuable resources for environmentally friendly, healthy, plant-based dishes.
This volume consists of papers presented at the Fourth International Workshop on Computer-Aided Scheduling of Public Transport, which was held in Hamburg from 28th to 31st July 1987. The first of this series of Workshops was held in Chicago in 1975. Papers presented then tended to look forward to what might be done in the future application of computers to problems in transit scheduling. No presentations described systems which had been implemented and were being used on a regular basis, although a few papers discussed apparently successful once-off applications in both bus scheduling and bus crew scheduling (or run-cutting). However, within a few months of the end of that first workshop some systems had been implemented, both in Europe and in North America. By the time of the second Workshop, in Leeds in 1980, several systems were in regular use. Most of the crew scheduling implementations were based on heuristic methods (e.g., RUCUS), although mathematically based methods were being used in Quebec City and in Hamburg, and several papers described further mathematical methods in the course of development. A wide variety of bus scheduling approaches was reported, many of them being in regular use.