The Python Master
The Python Master
About the Book
The Python Master is the culmination of our trilogy covering the core Python language. The material in these books is derived from Sixty North's popular and battle-tested training courses which have led thousands of programmers on a journey to being productive with Python.
Our books, which use Python 3, follow a spiral curriculum: We introduce topics gently and then revisit them on multiple occasions to add the depth required to support your progression as a Python developer. We've worked hard to structure the syllabus to avoid forward references. On only a few occasions do we require you to accept techniques on trust, before explaining them later; where we do, it's to deliberately establish good habits.
- Errata and Suggestions
- Conventions Used in This Book
- A functioning Python 3.5+ runtime
- Experience with concepts from the previous books
- The Road Goes On Forever
Chapter 1 - Advanced Flow Control
elseclauses on loops
An alternative to loop
- The try..except..else construct
- Emulating switch
- Dispatching on Type
Chapter 2 - Byte Oriented Programming
- Bitwise operators
bytestype in depth
Interpreting byte streams with the
- Memory Views
- Memory-mapped files
Chapter 3 - Object Internals and Custom Attributes
- How are Python objects stored?
Special methods which bypass
- Where are the methods?
Chapter 4 - Descriptors
- A review of properties
- Unravelling the property function
- Implementing a descriptor
- Retrieving descriptors on classes
- Data versus non-data descriptors
Chapter 5 - Instance Creation
- Instance Creation
- Customising allocation
Chapter 6 - Metaclasses
- The class of class objects
- Class allocation and initialisation
- Passing additional arguments to the metaclass
- Metaclass methods and visibility
Fine-grained instantiation control with metaclass
- Practical metaclass examples
- Metaclasses and Inheritance
Chapter 7 - Class decorators
- A first class decorator
- Enforcing constraints with a class decorator
- Enforcing constraints for properties
- Chaining class decorators
Chapter 8 - Abstract Base Classes
- What is an abstract base-class?
- Why are abstract base-classes useful?
- What about duck typing?
- Abstract base-classes in Python
Defining subclasses with
- Non-transitivity of subclass relationships
- Method resolution and virtual base-classes
- Library support for abstract base-classes
- Combining abstractmethod with other decorators
- Propagating abstractness through descriptors
@invariantclass decorator with ABCs
- Afterword: Continue the journey
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