Author: Matthew MacDonald Publisher: Apress, 2008 Pages: 1040 ISBN: 978-1590599556 Aimed at: Experienced .NET developers moving to WPF Rating: 4.5 Pros: Broad coverage of WPF; good depth in places Cons: Only minor niggles Reviewed by: Sue Gee
For the updated .NET 3.5 edition of his WPF tome MacDonald has produced two, essentially parallel, books - one on C#, the other on VB. There is one completely new chapter - Chapter 26:Multithreading and Add-Ins which covers the Dispatcher, the DispatcherObject and the BackgroundWorker and the Add-in pipeline.
Dave Wheeler reviewed the predecessor of this book as follows:
This is no lightweight, coming in at nearly 1000 densely packed pages. It has comprehensive coverage of WPF, ranging from XAML to 3D, and on the whole the book feels (in more sense than one) solid. All the major topic areas are covered, but like every other WPF book it has strengths and weaknesses, and occasionally the odd minor technical niggle, which means that this book alone is probably not going to be enough for the hardcore WPF developer. The book is logically arranged, with clear examples, and assumes from the get-go that you will be working with a combination of XAML and code. You can certainly read it from end to end, but it’s also excellent for dipping into from time to time. The code samples and links described in the book are all available online.
TinyML: Machine Learning with TensorFlow Lite
Authors: Pete Warden and Daniel Situnayake Publisher: O'Reilly Date: December 2019 Pages: 504 ISBN: 978-1492052043 Print: 1492052043 Kindle: B082TY3SX7 Audience: Developers interested in machine learning Rating: 5, but see reservations Reviewer: Harry Fairhead Can such small machines really do ML?
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Accelerating Software Quality
Author: Eran Kinsbruner Publisher: Perforce Pages: 357 ISBN: 978-8671126044 Print: B08FKW8B9B Kindle:B08FKWD2TR Audience: Devops developers Rating: 3 Reviewer: Kay Ewbank
With a subtitle of 'machine learning and artificial intelligence in the age of devops', this book certainly sounds as though it fits c [ ... ]
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