Eric Carter – författare

Visual Studio Tools for Office 2007: VSTO for Excel, Word, and Outlook is the definitive book on VSTO 2008 programming, written by the inventors of the technology. VSTO is a set of tools that allows professional developers to use the full power of Microsoft Visual Studio 2008 and the .NET Framework to program against Microsoft Office 2007.  This book delivers in one place all the information you need to succeed using VSTO to program against Word 2007, Excel 2007, and Outlook 2007, and provides the necessary background to customize Visio 2007, Publisher 2007, and PowerPoint 2007. It introduces the Office 2007 object models, covers the most commonly used objects in those object models, and will help you avoid the pitfalls caused by the COM origins of the Office object models. Developers who wish to program against Office 2003 should consult Carter and Lippert’s previous book, Visual Studio Tools for Office.  In VSTO 2008, you can build add-ins for all the major Office 2007 applications, build application-level custom task panes, customize the new Office Ribbon, modify Outlook’s user interface using Form Regions, and easily deploy everything you build using ClickOnce.  Carter and Lippert cover their subject matter with deft insight into the needs of .NET developers learning VSTO, based on the deep knowledge that comes from the authors’ unique perspective of living and breathing VSTO for the past six years. This book  Explains the architecture of Microsoft Office programming and introduces the object models Covers the main ways Office applications are customized and extended Explores the ways of customizing Excel, Word, and Outlook, and plumbs the depths of programming with their events and object models Introduces the VSTO programming model Teaches how to use Windows Forms and WPF in VSTO and how to work with the Document Actions Pane and application-level task panes Delves into VSTO data programming and server data scenarios Teaches ClickOnce VSTO deployment This is the one book you need to succeed in programming against Office 2007.  NOTE: This is now a two volume setC# and Visual Basic .NET Code samples for download can be found here: http://www.informit.com/store/product.aspx?isbn=0321533216

Second World War fighter pilot Eric Carter is one of only four surviving members of a secret mission, code-named 'Force Benedict'. Sanctioned by Winston Churchill in 1941 Force Benedict was dispatched to defend Murmansk, the USSR's only port not under Nazi occupation. If Murmansk fell, Soviet resistance against the Nazis would be hard to sustain and Hitler would be able to turn all his forces on Britain...Force Benedict was under the command of New Zealand-born RAF Wing Commander Henry Neville Gynes Ramsbottom-Isherwood, who led two squadrons of Hurricane fighters, pilots and ground crew which were shipped to Russia in total secrecy on the first ever Arctic Convoy. They were told to defend Murmansk against the Germans 'at all costs'. 'We all reckoned the government thought we'd never survive' - but Eric Carter did, and was threatened with Court Martial if he talked about where he'd been or what he'd done. Now he reveals his experiences of seventy years ago in the hell on earth that was Murmansk, the largest city north of the Arctic Circle.It will also include previously unseen photos and documents, as well as exploring - for the first time - other intriguing aspects of Force Benedict.

Build resilient applied machine learning teams that deliver better data products through adapting the guiding principles of the Agile Manifesto.Bringing together talented people to create a great applied machine learning team is no small feat. With developers and data scientists both contributing expertise in their respective fields, communication alone can be a challenge. Agile Machine Learning teaches you how to deliver superior data products through agile processes and to learn, by example, how to organize and manage a fast-paced team challenged with solving novel data problems at scale, in a production environment.The authors’ approach models the ground-breaking engineering principles described in the Agile Manifesto. The book provides further context, and contrasts the original principles with the requirements of systems that deliver a data product.What You'll LearnEffectively run a data engineeringteam that is metrics-focused, experiment-focused, and data-focusedMake sound implementation and model exploration decisions based on the data and the metricsKnow the importance of data wallowing: analyzing data in real time in a group settingRecognize the value of always being able to measure your current state objectivelyUnderstand data literacy, a key attribute of a reliable data engineer, from definitions to expectationsWho This Book Is ForAnyone who manages a machine learning team, or is responsible for creating production-ready inference components. Anyone responsible for data project workflow of sampling data; labeling, training, testing, improving, and maintaining models; and system and data metrics will also find this book useful. Readers should be familiar with software engineering and understand the basics of machine learning and working with data.