By taking you through the development of a real web application from beginning to end, this hands-on guide demonstrates the practical advantages of test-driven development (TDD) with Python. You’ll learn how to write and run tests before building each part of your app, and then develop the minimum amount of code required to pass those tests. The result? Clean code that works. In the process, you’ll learn the basics of Django, Selenium, Git, jQuery, and Mock, along with current web development techniques. If you’re ready to take your Python skills to the next level, this book clearly demonstrates how TDD encourages simple designs and inspires confidence. Dive into the TDD workflow, including the unit test/code cycle and refactoring Use unit tests for classes and functions, and functional tests for user interactions within the browser Learn when and how to use mock objects, and the pros and cons of isolated vs. integrated tests Test and automate your deployments with a staging server Apply tests to the third-party plugins you integrate into your site Use a Continuous Integration environment to run your tests automatically
By taking you through the development of a real web application from beginning to end, the second edition of this hands-on guide demonstrates the practical advantages of test-driven development (TDD) with Python. You’ll learn how to write and run tests before building each part of your app, and then develop the minimum amount of code required to pass those tests. The result? Clean code that works. In the process, you’ll learn the basics of Django, Selenium, Git, jQuery, and Mock, along with current web development techniques. If you’re ready to take your Python skills to the next level, this book—updated for Python 3.6—clearly demonstrates how TDD encourages simple designs and inspires confidence. Dive into the TDD workflow, including the unit test/code cycle and refactoring Use unit tests for classes and functions, and functional tests for user interactions within the browser Learn when and how to use mock objects, and the pros and cons of isolated vs. integrated tests Test and automate your deployments with a staging server Apply tests to the third-party plugins you integrate into your site Run tests automatically by using a Continuous Integration environment Use TDD to build a REST API with a front-end Ajax interface
By the time of Immanuel Kant, Berkeley had been caIled, among other things, a sceptic, an atheist, a solipsist, and an idealist. In our own day, however, the suggestion has been ad vanced that Berkeley is bett er understood if interpreted as a realist and man of common sense. Regardless of whether in the end one decides to treat hirn as a subjective idealist or as a re alist, I think it has become appropriate to inquire how Berkeley's own contemporaries viewed his philosophy. Heretofore the gen erally accepted account has been that they ignored hirn, roughly from the time he published the Principles 01 Human Knowledge until1733 when Andrew Baxter's criticism appeared. The aim of the present study is to correct that account as weIl as to give some indication not only of the extent, but more important, the role and character of several of the earliest discussions. Second arily, I have tried to give some clues as to the influence this early material may have had in forming the image of the "good" Bish op that emerged in the second half of the eighteenth century. For it is my hope that such clues may prove helpful in freeing us from the more severe strictures of the traditional interpretive dogmas.
Written for neurologists and other physicians who participate in the diagnosis and treatment of brain tumors, this book synthesizes the authors' clinical experiences. The first seven chapters provide a foundation for tumor pathology, biology, radiology, and the treatment modalities of surgery, radiation therapy, and chemotherapy. The remaining eight chapters have a common format, reviewing the history, epidemiology, biology, pathology, clinical symptoms, differential diagnosis, treatment, prognosis, and complications of specific tumors.
2008 NOMINEE The Council on Botanical and Horticultural Libraries Annual Award for a Significant Work in Botanical or Horticultural Literature From medicinal, industrial, and culinary uses to cutting-edge laboratory techniques in modern research and plant conservation strategies, Natural Products from Plants
As Python continues to grow in popularity, projects are becoming larger and more complex. Many Python developers are taking an interest in high-level software design patterns such as hexagonal/clean architecture, event-driven architecture, and the strategic patterns prescribed by domain-driven design (DDD). But translating those patterns into Python isn’t always straightforward. With this hands-on guide, Harry Percival and Bob Gregory from MADE.com introduce proven architectural design patterns to help Python developers manage application complexity—and get the most value out of their test suites. Each pattern is illustrated with concrete examples in beautiful, idiomatic Python, avoiding some of the verbosity of Java and C# syntax. Patterns include: Dependency inversion and its links to ports and adapters (hexagonal/clean architecture) Domain-driven design’s distinction between Entities, Value Objects, and Aggregates Repository and Unit of Work patterns for persistent storage Events, commands, and the message bus Command-query responsibility segregation (CQRS) Event-driven architecture and reactive microservices
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