fastnumpyio | Fast Numpy I/O : Fast replacement

by divideconcept Python Version: Current License: MIT

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kandi X-RAY | fastnumpyio Summary

fastnumpyio is a Python library. fastnumpyio has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However fastnumpyio build file is not available. You can download it from GitHub.

Fast Numpy I/O : Fast replacements for numpy.load and numpy.save. numpy.load and numpy.save is not optimal speed wise, specially if your arrays don't have complex internal structures. fastnumpyio.load/fastnumpyio.save can be used as a replacement to numpy.load/numpy.save with a significant speedup. fastnumpyio.pack/fastnumpyio.unpack (saving/loading bytes objects) is even faster if you don't care about the npy format and path/file-like objects.

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Quality

Security

License

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Support

fastnumpyio has a low active ecosystem.

It has 6 star(s) with 1 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 19 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of fastnumpyio is current.

Quality

fastnumpyio has no bugs reported.

Security

fastnumpyio has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

fastnumpyio is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

fastnumpyio releases are not available. You will need to build from source code and install.

fastnumpyio has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

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fastnumpyio Key Features

No Key Features are available at this moment for fastnumpyio.

fastnumpyio Examples and Code Snippets

No Code Snippets are available at this moment for fastnumpyio.

Community Discussions

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Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install fastnumpyio

You can download it from GitHub.
You can use fastnumpyio like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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