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Install

Install this package:

emerge -a dev-python/numexpr

If the package is masked, you can unmask it using the autounmask tool or standard emerge options:

autounmask dev-python/numexpr

Or alternatively:

emerge --autounmask-write -a dev-python/numexpr

Package Information

Description:

The numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it to faster Python code on the fly. It's the next best thing to writing the expression in C and compiling it with a specialized just-in-time (JIT) compiler, i.e. it does not require a compiler at runtime.

Homepage:

https://github.com/pydata/numexpr/ https://pypi.org/project/numexpr/

License:

MIT

Versions

Metadata

Description

• The numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it to faster Python code on the fly. It's the next best thing to writing the expression in C and compiling it with a specialized just-in-time (JIT) compiler, i.e. it does not require a compiler at runtime.

Maintainers

• Andreas Billmeier (b@edevau.net) - Type: project

Upstream

• Remote IDs:
  • pypi: numexpr
  • github: pydata/numexpr

<pkgmetadata>
	<maintainer type="project">
		<email>b@edevau.net</email>
		<name>Andreas Billmeier</name>
	</maintainer>
	<longdescription lang="en">
  The numexpr package evaluates multiple-operator array expressions
  many times faster than NumPy can. It accepts the expression as a
  string, analyzes it, rewrites it more efficiently, and compiles it
  to faster Python code on the fly. It's the next best thing to
  writing the expression in C and compiling it with a specialized
  just-in-time (JIT) compiler, i.e. it does not require a compiler at
  runtime.
  </longdescription>
	<upstream>
		<maintainer status="unknown">
			<email>blosc@blosc.org</email>
			<name>Blosc Development Team</name>
		</maintainer>
		<remote-id type="pypi">numexpr</remote-id>
		<remote-id type="github">pydata/numexpr</remote-id>
	</upstream>
</pkgmetadata>

Lint Warnings

• [Error] Missing md5-cache for ebuild numexpr-2.9.0
• [Error] Missing md5-cache for ebuild numexpr-2.10.1-r1

Manifest