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A common neologism in the Python community is pythonic, which has a wide range of meanings related to program style. "Pythonic" code may use Python idioms well, be natural or show fluency in the language, or conform with Python's minimalist philosophy and emphasis on readability. Code that is difficult to understand or reads like a rough transcription from another programming language is called unpythonic.[79][80]
Enhancement of the language corresponds with the development of the CPython reference implementation. The mailing list python-dev is the primary forum for the language's development. Specific issues were originally discussed in the Roundup bug tracker hosted at by the foundation.[164] In 2022, all issues and discussions were migrated to GitHub.[165] Development originally took place on a self-hosted source-code repository running Mercurial, until Python moved to GitHub in January 2017.[166]
Libraries such as NumPy, SciPy, and Matplotlib allow the effective use of Python in scientific computing,[195][196] with specialized libraries such as Biopython and Astropy providing domain-specific functionality. SageMath is a computer algebra system with a notebook interface programmable in Python: its library covers many aspects of mathematics, including algebra, combinatorics, numerical mathematics, number theory, and calculus.[197] OpenCV has Python bindings with a rich set of features for computer vision and image processing.[198]
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