Inhaltsangabe
The book begins with the very foundations of automated testing, and expands on them until the best-practice tools and techniques are fully covered. New concepts are illustrated with step-by-step hands-on exercises. Testing will be easier and more enjoyable with this beginner's guide. If you are a Python developer and want to write tests for your applications, this book will get you started and show you the easiest way to learn testing. You need to have sound Python programming knowledge to follow along. An awareness of software testing would be good, but no formal knowledge of testing is expected nor do you need to have any knowledge of the libraries discussed in the book.
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Über die Autorin bzw. den Autor
Daniel Arbuckle gained his PhD in Computer Science from the University of Southern California. He has published numerous papers along with several books and video courses, and he is both a teacher of computer science and a professional programmer.
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Suchergebnisse für Python Testing: Beginner's Guide
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Python Testing: Beginner's Guide
Verlag:
Packt Publishing (edition Illustrated), 2010
ISBN 10: 1847198848
ISBN 13: 9781847198846
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Paperback. Zustand: Very Good. Illustrated. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. Artikel-Nr. 1847198848-8-1
Beispielbild für diese ISBN
Python Testing: Beginner's Guide
Verlag:
Packt Pub Ltd (edition Illustrated), 2010
ISBN 10: 1847198848
ISBN 13: 9781847198846
Gebraucht
Paperback
Anbieter: BooksRun, Philadelphia, PA, USA
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: Good. Illustrated. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience. Artikel-Nr. 1847198848-11-1
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Python Testing: Beginner's Guide: An easy and convenient approach to testing your powerful Python projects
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