manning publications jan 2020 (4 Ergebnisse)

Taschenbuch. Zustand: Neu. Neuware - Object Design Style Guide captures dozens of techniques for creating pro-quality OO code that can stand the test of time. Examples are in an instantly-familiar pseudocode, teaching techniques you can apply to any OO language, from C++ to PHP.The design rules for different types of objectsBest practices for naming objectsTesting an object's behavior instead of its implementationExercises for each chapter to test your design skills.

Taschenbuch. Zustand: Neu. Neuware - Machine learning can deliver these and other advantages to your business, and it's never been easier to get started!

Taschenbuch. Zustand: Neu. Neuware - Unit Testing: Principles, Patterns and Practices shows you how to refine your existing unit tests by implementing modern best practices. YouGÇÖll learn to spot which tests are performing, which need refactoring, and which need to be deleted entirely! Upgrade your testing suite with new testing styles, good patterns, and reliable automated testing.

Taschenbuch. Zustand: Neu. Neuware - With an emphasis on clarity, style, and performance, author J.T. Wolohan expertly guides you through implementing a functionally-influenced approach to Python coding. You'll get familiar with Python's functional built-ins like the functools operator and itertools modules, as well as the tools library.Mastering Large Datasets teaches you to write easily readable, easily scalable Python code that can efficiently process large volumes of structured and unstructured data. By the end of this comprehensive guide, you'll have a solid grasp on the tools and methods that will take your code beyond the laptop and your data science career to the next level!Key features- An introduction to functional and parallel programming- Data science workflow- Profiling code for better performance- Fulfilling different quality objectives for a single unifying task- Python multiprocessing- Practical exercises including full-scale distributed applicationsAudienceReaders should have intermediate Python programming skills.About the technologyPython is a data scientist's dream-come-true, thanks to readily available libraries that support tasks like data analysis, machine learning, visualization, and numerical computing.