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LEADER 00000cam a22005537i 4500
003 OCoLC
005 20240129213017.0
006 m o d
007 cr cnu|||unuuu
008 231219s2024 nyua ob 001 0 eng d
019 1415228126
020 9781484297452|q(electronic bk.)
020 1484297458|q(electronic bk.)
024 7 10.1007/978-1-4842-9745-2|2doi
029 1 AU@|b000075623189
035 (OCoLC)1414976799|z(OCoLC)1415228126
037 9781484297452|bO'Reilly Media
040 ORMDA|beng|erda|epn|cORMDA|dOCLCO|dGW5XE|dYDX|dEBLCP
|dOCLCQ
049 INap
082 04 005.1/4
082 04 005.1/4|223/eng/20231219
099 eBook O'Reilly for Public Libraries
100 1 Vostokov, Dmitry,|eauthor.
245 10 Python debugging for AI, machine learning, and cloud
computing :|ba pattern-oriented approach /|cDmitry
Vostokov.|h[O'Reilly electronic resource]
246 3 Python debugging for artificial intelligence, machine
learning, and cloud computing
250 [First edition].
264 1 New York, NY :|bApress,|c[2024]
300 1 online resource (xxi, 233 pages) :|billustrations
336 text|btxt|2rdacontent
337 computer|bc|2rdamedia
338 online resource|bcr|2rdacarrier
504 Includes bibliographical references and index.
505 0 Chapter 1: Fundamental Vocabulary -- Chapter 2: Pattern-
Oriented Debugging -- Chapter 3: Elementary Diagnostics
Patterns -- Chapter 4: Debugging Analysis Patterns --
Chapter 5: Debugging Implementation Patterns -- Chapter 6:
IDE Debugging in Cloud -- Chapter 7: Debugging
Presentation Patterns -- Chapter 8: Debugging Architecture
Patterns -- Chapter 9: Debugging Design Patterns --
Chapter 10: Debugging Usage Patterns -- Chapter 11: Case
Study: Resource Leaks -- Chapter 12: Case Study: Deadlock
-- Chapter 13: Challenges of Python Debugging in Cloud
Computing -- Chapter 14: Challenges of Python Debugging in
AI and Machine Learning -- Chapter 15: What AI and Machine
Learning Can Do for Python Debugging -- Chapter 16: The
List of Debugging Patterns.
520 This book is for those who wish to understand how Python
debugging is and can be used to develop robust and
reliable AI, machine learning, and cloud computing
software. It will teach you a novel pattern-oriented
approach to diagnose and debug abnormal software structure
and behavior. The book begins with an introduction to the
pattern-oriented software diagnostics and debugging
process that, before performing Python debugging,
diagnoses problems in various software artifacts such as
memory dumps, traces, and logs. Next, you'll learn to use
various debugging patterns through Python case studies
that model abnormal software behavior. You'll also be
exposed to Python debugging techniques specific to cloud
native and machine learning environments and explore how
recent advances in AI/ML can help in Python debugging.
Over the course of the book, case studies will show you
how to resolve issues around environmental problems,
crashes, hangs, resource spikes, leaks, and performance
degradation. This includes tracing, logging, and
analyziing memory dumps using native WinDbg and GDB
debuggers. Upon completing this book, you will have the
knowledge and tools needed to employ Python debugging in
the development of AI, machine learning, and cloud
computing applications.
590 O'Reilly|bO'Reilly Online Learning: Academic/Public
Library Edition
650 0 Machine learning|xComputer simulation.
650 0 Debugging in computer science|xComputer programs.
650 0 Python (Computer program language)
650 6 Apprentissage automatique|xSimulation par ordinateur.
650 6 Débogueurs.
650 6 Python (Langage de programmation)
776 08 |cOriginal|z148429744X|z9781484297445|w(OCoLC)1391213597
856 40 |uhttps://ezproxy.naperville-lib.org/login?url=https://
learning.oreilly.com/library/view/~/9781484297452/?ar
|zAvailable on O'Reilly for Public Libraries
938 ProQuest Ebook Central|bEBLB|nEBL31021851
938 YBP Library Services|bYANK|n305900821
994 92|bJFN