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Introduced in Python 2.2 as an optional feature and finalized in version 2.3, generators are Python's mechanism for lazy evaluation of a function that would otherwise return a space-prohibitive or computationally intensive list. This is an example to lazily generate the prime numbers:
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, [55] is the oldest supported version of Python (albeit in the 'security support' phase), due to Python 3.8 reaching end-of-life.
[5]: 74 Others, such as The Cambridge Grammar of the English Language (CGEL), make the opposite terminological choice. [1]: 354 And still others (e.g., The Grammar Book [6]) use determiner for both the category and the function. This article uses determiner for the category and determinative for the function in the noun phrase.
[6] [7] [8] A further modification is the lexicalized PCFG, which assigns a head to each constituent and encodes rule for each lexeme in that head slot. Thus, where a PCFG may have a rule "NP → DT NN" (a noun phrase is a determiner and a noun) while a lexicalized PCFG will specifically have rules like "NP(dog) → DT NN(dog)" or "NP(person)" etc.
A determiner combines with a noun to express its reference. [1] [2] Examples in English include articles (the and a), demonstratives (this, that), possessive determiners (my, their), and quantifiers (many, both). Not all languages have determiners, and not all systems of grammatical description recognize them as a distinct category.
Duck typing is similar to, but distinct from, structural typing.Structural typing is a static typing system that determines type compatibility and equivalence by a type's structure, whereas duck typing is dynamic and determines type compatibility by only that part of a type's structure that is accessed during runtime.
Pandas (styled as pandas) is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series. It is free software released under the three-clause BSD license. [2]
SciPy (pronounced / ˈ s aɪ p aɪ / "sigh pie" [2]) is a free and open-source Python library used for scientific computing and technical computing. [3]SciPy contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering.