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About This BookUse powerful tools such as doctest and unittest to make testing convenientApply automation testing to an existing legacy system that isn't test orientedA practical guide to ease testing in Python using real-world examplesWho This Book Is ForIf you're a Python developer who wants to take testing to the next level and would like to expand your testing skills, this book is for you. It is assumed that you have some Python programming knowledge.What You Will LearnRun test cases from the command line with increased verbosityWrite a Nose extension to pick tests based on regular expressionsCreate testable documentation using doctestUse Selenium to test the web user interfaceWrite a testable story with Voidspace Mock and NoseConfigure TeamCity to run Python tests on commitUpdate project-level scripts to provide coverage reportsIn DetailAutomated testing is the best way to increase efficiency while reducing the risks involved in software testing. It helps find bugs in code easily and at an early stage so that they can be tackled efficiently. This book delves into the essential testing concepts of Python to help you build robust and maintainable code.Python Testing Cookbook begins with a brief introduction to Python's unit testing framework to help you write automated test cases. You will learn how to write suitable test sets for your software and run automated test suites with Nose. You will then work with the unittest.mock library, which allows you to replace the parts of your system that are being tested with mock objects and make assertions about how they have been used. You will also see how to apply test-driven development (TDD) and behaviour-driven development (BDD) and how to eliminate issues caused by TDD. The book explains how to integrate automated tests using Continuous Integration (CI), and how to perform smoke/load testing. It also covers best practices and helps you solve persistent testing issues in Python. The book concludes by helping with understand how doctest works and how Selenium can be used to test code efficiently.

Learn efficient Python coding within 7 daysAbout This BookMake the best of Python featuresLearn the tinge of Python in 7 daysLearn complex concepts using the most simple examplesWho This Book Is ForThe book is aimed at aspiring developers and absolute novice who want to get started with the world of programming. We assume no knowledge of Python for this book.What You Will LearnUse if else statement with loops and how to break, skip the loopGet acquainted with python types and its operatorsCreate modules and packagesLearn slicing, indexing and string methodsExplore advanced concepts like collections, class and objectsLearn dictionary operation and methodsDiscover the scope and function of variables with arguments and return valueIn DetailPython is a great language to get started in the world of programming and application development. This book will help you to take your skills to the next level having a good knowledge of the fundamentals of Python.We begin with the absolute foundation, covering the basic syntax, type variables and operators. We'll then move on to concepts like statements, arrays, operators, string processing and I/O handling. You'll be able to learn how to operate tuples and understand the functions and methods of lists. We'll help you develop a deep understanding of list and tuples and learn python dictionary. As you progress through the book, you'll learn about function parameters and how to use control statements with the loop. You'll further learn how to create modules and packages, storing of data as well as handling errors. We later dive into advanced level concepts such as Python collections and how to use class, methods, objects in python.By the end of this book, you will be able to take your skills to the next level having a good knowledge of the fundamentals of Python.Style and approachFast paced guide to get you up-to-speed with the language. Every chapter is followed by an exercise that focuses on building something with the language. The codes of the exercises can be found on the Packt website