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Python environment creation with virtualenv, pipenv, conda, Poetry, and Docker; Python package management with pip, pipenv, conda, and Poetry; File add, delete, rename, and move operations track to the active revision control systems; Set and traverse bookmarks; Code snippets with recursive inline data entry
In 2011, the Python Packaging Authority (PyPA) was created to take over the maintenance of pip and virtualenv from Bicking, led by Carl Meyer, Brian Rosner, and Jannis Leidel. [ 10 ] With the release of pip version 6.0 (2014-12-22), the version naming process was changed to have version in X.Y format and drop the preceding 1 from the version label.
A code poem may be interactive or static, digital or analog. Code poems can be performed by computers or humans through spoken word and written text. Examples of code poetry include: poems written in a programming language, but human readable as poetry; computer code expressed poetically, that is, playful with sound, terseness, or beauty.
[52] [53] While Python 2.7 and older versions are officially unsupported, a different unofficial Python implementation, PyPy, continues to support Python 2, i.e. "2.7.18+" (plus 3.10), with the plus meaning (at least some) "backported security updates". [54] Python 3.0 was released on 3 December 2008, with some new semantics and changed syntax.
The School for Poetic Computation (SFPC) is a hybrid of a school, residency and research group that was founded in 2013 [1] in New York City.A small group of students and faculty work closely to explore the intersections of code, art, hardware and theory—focusing especially on artistic intervention, including code poetry. [2]
Computer programming or coding is the composition of sequences of instructions, called programs, that computers can follow to perform tasks. [1] [2] It involves designing and implementing algorithms, step-by-step specifications of procedures, by writing code in one or more programming languages.
Tacit programming, also called point-free style, is a programming paradigm in which function definitions do not identify the arguments (or "points") on which they operate. . Instead the definitions merely compose other functions, among which are combinators that manipulate the argumen
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: