This book builds on basic Python tutorials to explain various Pythonnbsplanguage features that aren8217t routinely covered: from reusable console scripts that play double duty as micro-services by leveraging entry points, to using asyncio efficiently to collate data from a large number of sources. Along the way, it covers type-hint based linting, low-overhead testing and other automated quality checking to demonstrate a robust real-world development process.Some powerful aspects of Python are often documented with contrivednbspexamples that explain the feature as a standalone example only. Bynbspfollowing the design and build of a real-world application example fromnbspprototype to production quality you'll see not only how the variousnbsppieces of functionality work but how they integrate as part of the larger system design process. In addition, you'll benefit from the kind of useful asides and library recommendations that are a staple of conference QampA sessions at Python conferences as well as discussions of modern Python best practice and techniques to better produce clear code that is easily maintainable.Advanced Python Development is intended for developers who can already write simplenbspprograms in Python and want to understand when it8217s appropriate tonbspuse new and advanced language features and to do so in a confident manner. It is especially of use to developers looking to progress to a more senior level and to very experienced developers who have thus far used older versions of Python.What You'll LearnnbspUnderstand asynchronous programmingExamine developing plugin architecturesWork with type annotationsReview testing techniquesExplore packaging and dependency managementWho This Book Is ForDevelopers at the mid to senior level who already have Python experience.