Learning Python Application Development

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About This BookGet to grips with Python techniques that address commonly encountered problems in general application development.Develop, package, and deploy efficient applications in a fun way.All-practical coverage of the major areas of application development, including best practices, exception handling, testing, refactoring, design patterns, performance, and GUI application development.Who This Book Is ForDo you know the basics of Python and object-oriented programming? Do you want to go the extra mile and learn techniques to make your Python application robust, extensible, and efficient? Then this book is for you.What You Will LearnBuild robust applications by handling exceptionsModularize, package, and release the source distributionDocument the code and implement coding standardsCreate automated tests to catch bugs in the early development stageIdentify and re-factor badly written code to improve application's lifeDetect recurring problems in the code and apply design patternsImprove code efficiency by identifying performance bottlenecks and fixing themDevelop simple GUI applications using PythonIn DetailPython is one of the most widely used dynamic programming languages, supported by a rich set of libraries and frameworks that enable rapid development. But the fast-paced development often comes with its own baggage that could bring down the quality, performance, and extensibility of an application. This book will show you ways to handle such problems and write better Python applications.From the basics of simple command-line applications, develop your skills all the way to designing efficient and advanced Python apps. Guided by a light-hearted fantasy learning theme, overcome the real-world problems of complex Python development with practical solutions. Beginning with a focus on robustness, packaging, and releasing application code, you'll move on to improving applications lifetime by making code extensible, reusable, and readable. Get to grips with Python refactoring, design patterns, and best practices. Techniques to identify the bottlenecks and improve performance are covered in a series of chapters devoted to performance, before closing with a look at developing Python GUIs -- Ebsco