Software programming optimization technique| en.wikipedia.org
Source code: Lib/types.py This module defines utility functions to assist in dynamic creation of new types. It also defines names for some object types that are used by the standard Python interpre...| Python documentation
Source code: Lib/pickle.py The pickle module implements binary protocols for serializing and de-serializing a Python object structure. “Pickling” is the process whereby a Python object hierarchy is...| Python documentation
Source code: Lib/abc.py This module provides the infrastructure for defining abstract base classes(ABCs) in Python, as outlined in PEP 3119; see the PEP for why this was added to Python. (See also ...| Python documentation
The following sections describe the standard types that are built into the interpreter. The principal built-in types are numerics, sequences, mappings, classes, instances and exceptions. Some colle...| Python documentation
Source code: Lib/typing.py This module provides runtime support for type hints. Consider the function below: The function surface_area_of_cube takes an argument expected to be an instance of float,...| Python documentation
Source code: Lib/heapq.py This module provides an implementation of the heap queue algorithm, also known as the priority queue algorithm. Heaps are binary trees for which every parent node has a va...| Python documentation
Author, Andrew Dalke and Raymond Hettinger,. Python lists have a built-in list.sort() method that modifies the list in-place. There is also a sorted() built-in function that builds a new sorted lis...| Python documentation
This module implements a number of iterator building blocks inspired by constructs from APL, Haskell, and SML. Each has been recast in a form suitable for Python. The module standardizes a core set...| Python documentation
Objects, values and types: Objects are Python’s abstraction for data. All data in a Python program is represented by objects or by relations between objects. (In a sense, and in conformance to Von ...| Python documentation