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.
About the Authors
Bundles that include this book
Table of Contents
-
Preface
- Errata and Suggestions
- Conventions Used in This Book
- Welcome!
-
Prerequisites
- 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
elseclauses - The try..except..else construct
- Emulating switch
- Dispatching on Type
- Summary
-
-
Chapter 2 - Byte Oriented Programming
- Bitwise operators
-
The
bytestype in depth -
The mutable
bytearraysequence -
Interpreting byte streams with the
structmodule - Memory Views
- Memory-mapped files
- Summary
-
Chapter 3 - Object Internals and Custom Attributes
- How are Python objects stored?
-
Using
vars()to access__dict__ -
Overriding
__getattribute__() -
Special methods which bypass
__getattribute__() - Where are the methods?
- Slots
- Summary
-
Chapter 4 - Descriptors
- A review of properties
- Unravelling the property function
- Implementing a descriptor
- Retrieving descriptors on classes
- Data versus non-data descriptors
- Summary
-
Chapter 5 - Instance Creation
- Instance Creation
- Customising allocation
- Summary
-
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
__call__() - Practical metaclass examples
- Metaclasses and Inheritance
- Summary
-
Chapter 7 - Class decorators
- A first class decorator
- Enforcing constraints with a class decorator
- Enforcing constraints for properties
- Chaining class decorators
- Summary
-
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
__subclasscheck__() - 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
-
Fixing our
@invariantclass decorator with ABCs - Summary
- Afterword: Continue the journey
- Notes
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