1. Python Foundations and Principles
Python is a high-level, interpreted, dynamically typed language created by Guido van Rossum in 1991. The language is shaped by PEP 8, its official style guide, and PEP 20, Tim Pete...
Read full chapter →The essential Python Deep Dive cheat sheet: 8 concise chapters you can read in minutes, distilled from the full deck. When you're ready, drill the flashcards or test yourself under exam conditions.
Python is a high-level, interpreted, dynamically typed language created by Guido van Rossum in 1991. The language is shaped by PEP 8, its official style guide, and PEP 20, Tim Pete...
Read full chapter →Python's dynamic type system relies on behavior-based dispatch, a property known as duck typing: rather than checking declared types, code asks whether an object can perform a requ...
Read full chapter →Python distinguishes iterables — objects that can return an iterator via `__iter__` — from iterators, which implement both `__iter__` and `__next__`. When an iterator is exhausted,...
Read full chapter →Functions are first-class objects that can be wrapped to modify behavior through decorators. The `@decorator` syntax above a definition is syntactic sugar equivalent to `f = decora...
Read full chapter →Python integrates objects with language syntax through dunder (double underscore) methods. `__init__` initializes a newly created instance, while `__new__` actually creates and ret...
Read full chapter →PEP 484 introduced optional type annotations specifying expected types, supported by the `typing` module which provides generics like `List`, `Dict`, `Optional`, `Union`, and `Call...
Read full chapter →CPython's Global Interpreter Lock (GIL) ensures that only one thread executes Python bytecode at a time, simplifying memory management but limiting CPU-bound multithreading paralle...
Read full chapter →Python's standard library is extensive. The `collections` module adds specialized containers: `namedtuple` creates tuple subclasses with named fields, `OrderedDict` maintains inser...
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