Python Data Model: Master the Power of Python Data Models

ACI Learning

Daniel Lowrie

Justin Dennison

Mike Rodrick

S$337.99

Video Jun 2024 12hrs 26mins 1st Edition

ACI Learning

Daniel Lowrie

Justin Dennison

Mike Rodrick

S$337.99

Video Jun 2024 12hrs 26mins 1st Edition

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Key benefits

Explore everything from instance creation to advanced serialization
Learn from seasoned industry professionals in Python development
Build your knowledge progressively, ensuring a solid grasp of each concept

Description

Delve into Python's internal protocols and data models to unlock advanced programming capabilities. This comprehensive course, led by expert instructors Justin and Mike, starts with foundational concepts like creating and initializing instances and progresses to complex topics such as custom object representation and deletion methods. You'll explore Python's __str__ and __repr__ methods to craft custom string outputs and master the __format__ and __bytes__ methods to enhance object presentation. As you advance, you'll learn to implement iterable objects and dictionary-like behaviors through methods like __iter__, __getitem__, __setitem__, and __delitem__. You'll gain expertise in boolean representation, equality and inequality operations, leveraging hash functions, and managing object slots. The course's numeric section covers operator overloading for arithmetic and bitwise operations, extending Python's numeric capabilities to custom objects. Finally, explore advanced topics like attribute management, custom descriptors, making objects callable, context management, and serialization. By the end of this course, you'll be proficient in Python's data model protocols, enabling you to write more efficient, readable, and powerful Python code. Join us to elevate your Python programming skills to a professional level.

Who is this book for?

This course is designed for intermediate to advanced Python developers looking to deepen their understanding of Python's data model and internal protocols. A solid grasp of Python basics and object-oriented programming concepts is required.