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Perl and Python Package Index

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Perl and Python Package Index

Perl vs. Python Package Index

Perl is a family of two high-level, general-purpose, interpreted, dynamic programming languages, Perl 5 and Perl 6. The Python Package Index, abbreviated as PyPI and also known as the Cheese Shop (a reference to the Monty Python's Flying Circus sketch Cheese Shop), is the official third-party software repository for Python.

Similarities between Perl and Python Package Index

Perl and Python Package Index have 4 things in common (in Unionpedia): CPAN, POSIX, Python (programming language), Software repository.

CPAN

The Comprehensive Perl Archive Network (CPAN) is a repository of over 250,000 software modules and accompanying documentation for 39,000 distributions, written in the Perl programming language by over 12,000 contributors.

CPAN and Perl · CPAN and Python Package Index · See more »

POSIX

The Portable Operating System Interface (POSIX) is a family of standards specified by the IEEE Computer Society for maintaining compatibility between operating systems.

POSIX and Perl · POSIX and Python Package Index · See more »

Python (programming language)

Python is an interpreted high-level programming language for general-purpose programming.

Perl and Python (programming language) · Python (programming language) and Python Package Index · See more »

Software repository

A software repository, colloquially known as a "repo" for short, is a storage location from which software packages may be retrieved and installed on a computer.

Perl and Software repository · Python Package Index and Software repository · See more »

The list above answers the following questions

Perl and Python Package Index Comparison

Perl has 265 relations, while Python Package Index has 13. As they have in common 4, the Jaccard index is 1.44% = 4 / (265 + 13).

References

This article shows the relationship between Perl and Python Package Index. To access each article from which the information was extracted, please visit:

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