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Python Glossary: terms starting with letter S
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Glossary - S
********
__slots__
A declaration inside a class that saves memory by pre-declaring
space for instance attributes and eliminating instance
dictionaries. Though popular, the technique is somewhat tricky to
get right and is best reserved for rare cases where there are large
numbers of instances in a memory-critical application.
sequence
An *iterable* which supports efficient element access using integer
indices via the "__getitem__()" special method and defines a
"__len__()" method that returns the length of the sequence. Some
built-in sequence types are "list", "str", "tuple", and "bytes".
Note that "dict" also supports "__getitem__()" and "__len__()", but
is considered a mapping rather than a sequence because the lookups
use arbitrary *immutable* keys rather than integers.
The "collections.abc.Sequence" abstract base class defines a much
richer interface that goes beyond just "__getitem__()" and
"__len__()", adding "count()", "index()", "__contains__()", and
"__reversed__()". Types that implement this expanded interface can
be registered explicitly using "register()".
set comprehension
A compact way to process all or part of the elements in an iterable
and return a set with the results. "results = {c for c in
'abracadabra' if c not in 'abc'}" generates the set of strings
"{'r', 'd'}". See Displays for lists, sets and dictionaries.
single dispatch
A form of *generic function* dispatch where the implementation is
chosen based on the type of a single argument.
slice
An object usually containing a portion of a *sequence*. A slice is
created using the subscript notation, "[]" with colons between
numbers when several are given, such as in "variable_name[1:3:5]".
The bracket (subscript) notation uses "slice" objects internally.
special method
A method that is called implicitly by Python to execute a certain
operation on a type, such as addition. Such methods have names
starting and ending with double underscores. Special methods are
documented in Special method names.
statement
A statement is part of a suite (a "block" of code). A statement is
either an *expression* or one of several constructs with a keyword,
such as "if", "while" or "for".
strong reference
In Python's C API, a strong reference is a reference to an object
which increments the object's reference count when it is created
and decrements the object's reference count when it is deleted.
The "Py_NewRef()" function can be used to create a strong reference
to an object. Usually, the "Py_DECREF()" function must be called on
the strong reference before exiting the scope of the strong
reference, to avoid leaking one reference.
See also *borrowed reference*.
Python Slice Notation Tutorial - How to Slice Strings and Lists Explained with Examples (+ Reverse)
https://www.youtube.com/watch?v=pu1gI8qrgo8

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Glossary - S
********

__slots__
   A declaration inside a class that saves memory by pre-declaring
   space for instance attributes and eliminating instance
   dictionaries.  Though popular, the technique is somewhat tricky to
   get right and is best reserved for rare cases where there are large
   numbers of instances in a memory-critical application.

sequence
   An *iterable* which supports efficient element access using integer
   indices via the "__getitem__()" special method and defines a
   "__len__()" method that returns the length of the sequence. Some
   built-in sequence types are "list", "str", "tuple", and "bytes".
   Note that "dict" also supports "__getitem__()" and "__len__()", but
   is considered a mapping rather than a sequence because the lookups
   use arbitrary *immutable* keys rather than integers.

The "collections.abc.Sequence" abstract base class defines a much
   richer interface that goes beyond just "__getitem__()" and
   "__len__()", adding "count()", "index()", "__contains__()", and
   "__reversed__()". Types that implement this expanded interface can
   be registered explicitly using "register()".

set comprehension
   A compact way to process all or part of the elements in an iterable
   and return a set with the results. "results = {c for c in
   'abracadabra' if c not in 'abc'}" generates the set of strings
   "{'r', 'd'}".  See Displays for lists, sets and dictionaries.

single dispatch
   A form of *generic function* dispatch where the implementation is
   chosen based on the type of a single argument.

slice
   An object usually containing a portion of a *sequence*.  A slice is
   created using the subscript notation, "[]" with colons between
   numbers when several are given, such as in "variable_name[1:3:5]".
   The bracket (subscript) notation uses "slice" objects internally.

special method
   A method that is called implicitly by Python to execute a certain
   operation on a type, such as addition.  Such methods have names
   starting and ending with double underscores.  Special methods are
   documented in Special method names.

statement
   A statement is part of a suite (a "block" of code).  A statement is
   either an *expression* or one of several constructs with a keyword,
   such as "if", "while" or "for".

strong reference
   In Python's C API, a strong reference is a reference to an object
   which increments the object's reference count when it is created
   and decrements the object's reference count when it is deleted.

The "Py_NewRef()" function can be used to create a strong reference
   to an object. Usually, the "Py_DECREF()" function must be called on
   the strong reference before exiting the scope of the strong
   reference, to avoid leaking one reference.

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