Learning Python testing: a straightforward and easy approach to testing your Python projects
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham, UK
Packt Publishing
2014
|
| Ausgabe: | Second edition |
| Schriftenreihe: | Community experience distilled
|
| Schlagworte: | |
| Beschreibung: | Online resource; title from cover (Safari, viewed December 18, 2014). - Includes index |
| Beschreibung: | 1 online resource (1 volume) illustrations |
| ISBN: | 9781783553228 1783553227 1783553219 9781783553211 |
Internformat
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| 100 | 1 | |a Arbuckle, Daniel |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Learning Python testing |b a straightforward and easy approach to testing your Python projects |c Daniel Arbuckle |
| 250 | |a Second edition | ||
| 264 | 1 | |a Birmingham, UK |b Packt Publishing |c 2014 | |
| 300 | |a 1 online resource (1 volume) |b illustrations | ||
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| 337 | |b c |2 rdamedia | ||
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| 490 | 0 | |a Community experience distilled | |
| 500 | |a Online resource; title from cover (Safari, viewed December 18, 2014). - Includes index | ||
| 505 | 8 | |a Chapter 4: Decoupling Units with unittest.mock; Mock objects in general; Mock objects according to unittest.mock; Standard mock objects; Non-mock attributes; Non-mock return values and raising exceptions; Mocking class or function details; Mocking function or method side effects; Mocking containers and objects with a special behavior; Mock objects for properties and descriptors; Mocking file objects; Replacing real code with mock objects; Mock objects in action; Better PID tests; Patching time.time; Decoupling from the constructor; Summary; Chapter 5: Structured Testing with unittest | |
| 505 | 8 | |a This book is ideal if you want to learn about the testing disciplines and automated testing tools from a hands-on, conversational guide. You should already know Python and be comfortable with Python 3 | |
| 650 | 7 | |a COMPUTERS / Computer Literacy |2 bisacsh | |
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Datensatz im Suchindex
| _version_ | 1804179176120385536 |
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| any_adam_object | |
| author | Arbuckle, Daniel |
| author_facet | Arbuckle, Daniel |
| author_role | aut |
| author_sort | Arbuckle, Daniel |
| author_variant | d a da |
| building | Verbundindex |
| bvnumber | BV045351020 |
| collection | ZDB-4-ITC |
| contents | Chapter 4: Decoupling Units with unittest.mock; Mock objects in general; Mock objects according to unittest.mock; Standard mock objects; Non-mock attributes; Non-mock return values and raising exceptions; Mocking class or function details; Mocking function or method side effects; Mocking containers and objects with a special behavior; Mock objects for properties and descriptors; Mocking file objects; Replacing real code with mock objects; Mock objects in action; Better PID tests; Patching time.time; Decoupling from the constructor; Summary; Chapter 5: Structured Testing with unittest This book is ideal if you want to learn about the testing disciplines and automated testing tools from a hands-on, conversational guide. You should already know Python and be comfortable with Python 3 |
| ctrlnum | (ZDB-4-ITC)ocn899214552 (OCoLC)899214552 (DE-599)BVBBV045351020 |
| dewey-full | 004.6186 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 004 - Computer science |
| dewey-raw | 004.6186 |
| dewey-search | 004.6186 |
| dewey-sort | 14.6186 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| edition | Second edition |
| format | Electronic eBook |
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| id | DE-604.BV045351020 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T08:15:42Z |
| institution | BVB |
| isbn | 9781783553228 1783553227 1783553219 9781783553211 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030737674 |
| oclc_num | 899214552 |
| open_access_boolean | |
| physical | 1 online resource (1 volume) illustrations |
| psigel | ZDB-4-ITC |
| publishDate | 2014 |
| publishDateSearch | 2014 |
| publishDateSort | 2014 |
| publisher | Packt Publishing |
| record_format | marc |
| series2 | Community experience distilled |
| spelling | Arbuckle, Daniel Verfasser aut Learning Python testing a straightforward and easy approach to testing your Python projects Daniel Arbuckle Second edition Birmingham, UK Packt Publishing 2014 1 online resource (1 volume) illustrations txt rdacontent c rdamedia cr rdacarrier Community experience distilled Online resource; title from cover (Safari, viewed December 18, 2014). - Includes index Chapter 4: Decoupling Units with unittest.mock; Mock objects in general; Mock objects according to unittest.mock; Standard mock objects; Non-mock attributes; Non-mock return values and raising exceptions; Mocking class or function details; Mocking function or method side effects; Mocking containers and objects with a special behavior; Mock objects for properties and descriptors; Mocking file objects; Replacing real code with mock objects; Mock objects in action; Better PID tests; Patching time.time; Decoupling from the constructor; Summary; Chapter 5: Structured Testing with unittest This book is ideal if you want to learn about the testing disciplines and automated testing tools from a hands-on, conversational guide. You should already know Python and be comfortable with Python 3 COMPUTERS / Computer Literacy bisacsh COMPUTERS / Computer Science bisacsh COMPUTERS / Data Processing bisacsh COMPUTERS / Hardware / General bisacsh COMPUTERS / Information Technology bisacsh COMPUTERS / Machine Theory bisacsh COMPUTERS / Reference bisacsh Object-oriented programming (Computer science) fast Python (Computer program language) fast Python (Computer program language) Object-oriented programming (Computer science) Erscheint auch als Druck-Ausgabe Arbuckle, Daniel Learning Python Testing Birmingham : Packt Publishing, 2014 9781783553211 |
| spellingShingle | Arbuckle, Daniel Learning Python testing a straightforward and easy approach to testing your Python projects Chapter 4: Decoupling Units with unittest.mock; Mock objects in general; Mock objects according to unittest.mock; Standard mock objects; Non-mock attributes; Non-mock return values and raising exceptions; Mocking class or function details; Mocking function or method side effects; Mocking containers and objects with a special behavior; Mock objects for properties and descriptors; Mocking file objects; Replacing real code with mock objects; Mock objects in action; Better PID tests; Patching time.time; Decoupling from the constructor; Summary; Chapter 5: Structured Testing with unittest This book is ideal if you want to learn about the testing disciplines and automated testing tools from a hands-on, conversational guide. You should already know Python and be comfortable with Python 3 COMPUTERS / Computer Literacy bisacsh COMPUTERS / Computer Science bisacsh COMPUTERS / Data Processing bisacsh COMPUTERS / Hardware / General bisacsh COMPUTERS / Information Technology bisacsh COMPUTERS / Machine Theory bisacsh COMPUTERS / Reference bisacsh Object-oriented programming (Computer science) fast Python (Computer program language) fast Python (Computer program language) Object-oriented programming (Computer science) |
| title | Learning Python testing a straightforward and easy approach to testing your Python projects |
| title_auth | Learning Python testing a straightforward and easy approach to testing your Python projects |
| title_exact_search | Learning Python testing a straightforward and easy approach to testing your Python projects |
| title_full | Learning Python testing a straightforward and easy approach to testing your Python projects Daniel Arbuckle |
| title_fullStr | Learning Python testing a straightforward and easy approach to testing your Python projects Daniel Arbuckle |
| title_full_unstemmed | Learning Python testing a straightforward and easy approach to testing your Python projects Daniel Arbuckle |
| title_short | Learning Python testing |
| title_sort | learning python testing a straightforward and easy approach to testing your python projects |
| title_sub | a straightforward and easy approach to testing your Python projects |
| topic | COMPUTERS / Computer Literacy bisacsh COMPUTERS / Computer Science bisacsh COMPUTERS / Data Processing bisacsh COMPUTERS / Hardware / General bisacsh COMPUTERS / Information Technology bisacsh COMPUTERS / Machine Theory bisacsh COMPUTERS / Reference bisacsh Object-oriented programming (Computer science) fast Python (Computer program language) fast Python (Computer program language) Object-oriented programming (Computer science) |
| topic_facet | COMPUTERS / Computer Literacy COMPUTERS / Computer Science COMPUTERS / Data Processing COMPUTERS / Hardware / General COMPUTERS / Information Technology COMPUTERS / Machine Theory COMPUTERS / Reference Object-oriented programming (Computer science) Python (Computer program language) Python (Computer program language) Object-oriented programming (Computer science) |
| work_keys_str_mv | AT arbuckledaniel learningpythontestingastraightforwardandeasyapproachtotestingyourpythonprojects |