Visual Category Theory, CoPart 1: A Dual to Brick by Brick, Part 1

Author:   Dmitry Vostokov
Publisher:   Opentask
ISBN:  

9781912636815


Pages:   20
Publication Date:   08 May 2022
Format:   Paperback
Availability:   Available To Order   Availability explained
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Visual Category Theory, CoPart 1: A Dual to Brick by Brick, Part 1


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Author:   Dmitry Vostokov
Publisher:   Opentask
Imprint:   Opentask
Dimensions:   Width: 16.50cm , Height: 0.10cm , Length: 16.50cm
Weight:   0.041kg
ISBN:  

9781912636815


ISBN 10:   1912636816
Pages:   20
Publication Date:   08 May 2022
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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Dmitry Vostokov is an internationally recognized expert, speaker, educator, scientist, inventor, and author. He is the founder of pattern-oriented software diagnostics, forensics and prognostics discipline (Systematic Software Diagnostics), and Software Diagnostics Institute. Vostokov has also authored more than 50 books on software diagnostics, anomaly detection and analysis, software and memory forensics, root cause analysis and problem solving, memory dump analysis, debugging, software trace and log analysis, reverse engineering, and malware analysis. He has more than 25 years of experience in software architecture, design, development, and maintenance in a variety of industries including leadership, technical and people management roles. Dmitry also founded Syndromatix, Anolog.io, BriteTrace, DiaThings, Logtellect, OpenTask Iterative and Incremental Publishing, and Software Diagnostics Technology and Services (former Memory Dump Analysis Services) and Software Prognostics. In his spare time, he presents various topics on Debugging TV and explores Software Narratology, its further development as Narratology of Things and Diagnostics of Things (DoT), Software Pathology, and Quantum Software Diagnostics. His current areas of interest are theoretical software diagnostics and its mathematical and computer science foundations, application of formal logic, artificial intelligence, machine learning and data mining to diagnostics and anomaly detection, software diagnostics engineering and diagnostics-driven development, diagnostics workflow and interaction. Recent interest areas also include cloud native computing, security, automation, functional programming, and applications of category theory to software development and big data.

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