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For example, one could define a dictionary having a string "toast" mapped to the integer 42 or vice versa. The keys in a dictionary must be of an immutable Python type, such as an integer or a string, because under the hood they are implemented via a hash function. This makes for much faster lookup times, but requires keys not change.
Since 7 October 2024, Python 3.13 is the latest stable release, and it and, for few more months, 3.12 are the only releases with active support including for bug fixes (as opposed to just for security) and Python 3.9, [48] is the oldest supported version of Python (albeit in the 'security support' phase), due to Python 3.8 reaching end-of-life.
A singly-linked list structure, implementing a list with three integer elements. The term list is also used for several concrete data structures that can be used to implement abstract lists, especially linked lists and arrays. In some contexts, such as in Lisp programming, the term list may refer specifically to a linked list rather than an array.
There are three types of lists: unordered lists, ordered lists, and description lists (a.k.a. definition lists or association lists). In the following sections, various list types are used for different examples, but other list types will generally give corresponding results.
The following example demonstrates the common case of parsing a computer language with two levels of grammar: lexical and syntactic. The first stage is the token generation, or lexical analysis , by which the input character stream is split into meaningful symbols defined by a grammar of regular expressions .
A page can be defined to have multiple columns. When this is the case, blocks flow from one column into the next by default. Individual blocks can be set to span all columns, creating a textual break in the page. The columns above this break will flow into each other, as will the columns below the break.
The template {{div col}} (short for division columns) formats a list into columns that wrap at multiple screen resolutions responsively. It automatically breaks the available screen space into equal parts, meaning, for instance, that it is not necessary to guess how many columns to use and then figure out the dividing point(s), e.g., the halfway point to divide the list into two columns, or ...
Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words. The word2vec algorithm estimates these representations by modeling text in a large corpus.