LEADER 00000cam a2200505 i 4500 
003    OCoLC 
005    20240129213017.0 
006    m     o  d         
007    cr unu|||||||| 
008    171206s2017    ncu     o     000 0 eng d 
020    9781680502848|q(electronic bk.) 
020    1680502840|q(electronic bk.) 
029 1  GBVCP|b1014938155 
035    (OCoLC)1014021663 
037    CL0500000918|bSafari Books Online 
040    UMI|beng|erda|epn|cUMI|dSTF|dOCLCF|dTOH|dOH1|dCEF|dKSU
       |dDEBBG|dG3B|dUAB|dRDF|dOCLCQ|dDST|dOCLCO|dOCLCQ|dOCLCO
       |dOCLCL 
049    INap 
082 04 005.14 
082 04 005.14|223 
099    eBook O'Reilly for Public Libraries 
100 1  Okken, Brian,|eauthor 
245 10 Python testing with Pytest :|bsimple, rapid, effective, 
       and scalable /|cBrian Okken.|h[O'Reilly electronic 
       resource] 
250    Version: P1.0 (September 2017). 
264  1 Raleigh, North Carolina :|bPragmatic Bookshelf,|c2017. 
300    1 online resource (1 volume) 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
490 1  The pragmatic programmers 
505 0  Getting started with Pytest -- Writing test functions -- 
       Pytest fixtures -- Builtin fixtures -- Plugins -- 
       Configuration -- Using pytest with other tools. 
520    Do less work when testing your Python code, but be just as
       expressive, just as elegant, and just as readable. The 
       pytest testing framework helps you write tests quickly and
       keep them readable and maintainable - with no boilerplate 
       code. Using a robust yet simple fixture model, it's just 
       as easy to write small tests with pytest as it is to scale
       up to complex functional testing for applications, 
       packages, and libraries. This book shows you how. For 
       Python-based projects, pytest is the undeniable choice to 
       test your code if you're looking for a full-featured, API-
       independent, flexible, and extensible testing framework. 
       With a full-bodied fixture model that is unmatched in any 
       other tool, the pytest framework gives you powerful 
       features such as assert rewriting and plug-in capability -
       with no boilerplate code. With simple step-by-step 
       instructions and sample code, this book gets you up to 
       speed quickly on this easy-to-learn and robust tool. Write
       short, maintainable tests that elegantly express what 
       you're testing. Add powerful testing features and still 
       speed up test times by distributing tests across multiple 
       processors and running tests in parallel. Use the built-in
       assert statements to reduce false test failures by 
       separating setup and test failures. Test error conditions 
       and corner cases with expected exception testing, and use 
       one test to run many test cases with parameterized 
       testing. Extend pytest with plugins, connect it to 
       continuous integration systems, and use it in tandem with 
       tox, mock, coverage, unittest, and doctest. Write simple, 
       maintainable tests that elegantly express what you're 
       testing and why. What You Need: The examples in this book 
       are written using Python 3.6 and pytest 3.0. However, 
       pytest 3.0 supports Python 2.6, 2.7, and Python 3.3-3.6. 
588 0  Online resource; title from title page (Safari, viewed 
       December 5, 2017). 
590    O'Reilly|bO'Reilly Online Learning: Academic/Public 
       Library Edition 
650  0 Python (Computer program language) 
650  0 Computer software|xTesting. 
650  0 Debugging in computer science. 
650  6 Python (Langage de programmation) 
650  6 Débogage. 
650  7 Computer software|xTesting|2fast 
650  7 Debugging in computer science|2fast 
650  7 Python (Computer program language)|2fast 
830  0 Pragmatic programmers. 
856 40 |uhttps://ezproxy.naperville-lib.org/login?url=https://
       learning.oreilly.com/library/view/~/9781680502848/?ar
       |zAvailable on O'Reilly for Public Libraries 
994    92|bJFN