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Python Debugging for AI, Machine Learning, and Cloud Computing: A Pattern-Oriented Approach

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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 performancedegradation. This includes tracing, logging, and analyzing memory dumps using native WinDbg and GDB debuggers.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

005.133 VOS p

Penerbit

Ireland : Apress., 2024

Deskripsi Fisik

233 hal; ilus; 20 cm

Bahasa

English

ISBN/ISSN

978-1-4842-9744-5

Klasifikasi

005.133

Tipe Isi

text

Tipe Media

unspecified

Tipe Pembawa

volume

Edisi

-

Subjek

Machine Learning
Python
AI

Info Detail Spesifik

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Pernyataan Tanggungjawab

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Versi lain/terkait

Lampiran Berkas

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