Détails
Marque
Collection
n.c
Parution
2024-06-19
Pages
328 pages
EAN papier
9798868802904
Langue
Anglais
Informations ebook
EAN PDF
9798868802911
Prix
52,47 €
En savoir plus
Nb pages copiables 3
Nb pages imprimables 32
Taille du fichier 4977 Ko
EAN EPUB
9798868802911
Prix
52,47 €
En savoir plus
Nb pages copiables 3
Nb pages imprimables 32
Taille du fichier 788 Ko
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Auteur(s) du livre


Sujay Ragahvendra is a distinguished expert in the field of machine learning and software testing, with a strong background in Python programming. With a deep passion for both disciplines, He has dedicated his career to exploring the intersection of these fields and delivering innovative solutions.

Recognizing the critical role of testing in software development, Sujay expanded his expertise to include automated testing using Selenium with Python. With his books Python Testing with Selenium: Learn to Implement Different Testing Techniques Using the Selenium WebDriver and Beginner's Guide to Streamlit with Python: Build Web-Based Data and Machine Learning Applications, Sujay shares his extensive knowledge and practical insights into leveraging Selenium's capabilities with Python for efficient and reliable testing. This new book provides a comprehensive guide for professionals looking to master automated testing techniques, harnessing the power of Python and Selenium to ensure the quality and functionality of web applications.

Sujay's expertise in both machine learning and software testing allows him to bring a unique perspective to the field of automated testing. He explores ways to integrate machine learning concepts into testing practices, enabling readers to discover innovative approaches to test analysis, anomaly detection, and intelligent test execution.

With a solid foundation in programming, Sujay leverages his expertise to provide readers with practical examples, best practices, and coding techniques specific to Python and Selenium. His clear explanations and step-by-step guidance make it easy for readers to implement effective testing strategies and optimize their automation workflows.

Beyond writing, Sujay actively contributes to the testing community through workshops, speaking engagements, and mentorship programs. He strive to empower professionals with the knowledge and skills needed to excel in automated testing, ensuring the delivery of high-quality software products. Through his work, Sujay continues to bridge the gap between machine learning, software testing, and programming, inspiring others to embrace the synergy of these disciplines and drive advancements in the field of automated testing.

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