neurotools | Python tools for computational neuroscience | Dataset library

by michaelerule Python Version: Current License: GPL-3.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | neurotools Summary

neurotools is a Python library typically used in Artificial Intelligence, Dataset applications. neurotools has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However neurotools build file is not available. You can download it from GitHub.

Python tools for computational neuroscience

Support

Quality

Security

License

Reuse

Support

neurotools has a low active ecosystem.

It has 7 star(s) with 0 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

neurotools has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of neurotools is current.

Quality

neurotools has no bugs reported.

Security

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

License

neurotools is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

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

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

Top functions reviewed by kandi - BETA

kandi has reviewed neurotools and discovered the below as its top functions. This is intended to give you an instant insight into neurotools implemented functionality, and help decide if they suit your requirements.

Decorate a function to cache results .
Minimize the objective function .
Perform a parimap .
Compute the kernel density estimate .
Matches covariance matching covariance matrices .
Calculate the multitaper coherence coefficient .
Convert a function signature to a file string .
Cross - validation trial .
Bam - WELch algorithm .
Forward backward algorithm .

Get all kandi verified functions for this library.

neurotools Key Features

No Key Features are available at this moment for neurotools.

neurotools Examples and Code Snippets

No Code Snippets are available at this moment for neurotools.

Community Discussions

Trending Discussions on neurotools

error: command 'gcc' failed with exit status 1 when installing pip packages on alpine docker image

QUESTION

error: command 'gcc' failed with exit status 1 when installing pip packages on alpine docker image

Asked 2019-Oct-31 at 14:59

I'm attempting transition my base docker image from centos 7 to alpine, however I receive gcc errors when trying to install pip packages.

This is a snippet of the error received:

...

ANSWER

Answered 2019-Oct-31 at 14:59

Missing the header file Python.h , this file is provide by python2-dev ( -dev mean package for doing development with ) .

With this https://pkgs.alpinelinux.org/contents you can search all packages that have Python.h

I was able to run pip install pygpgme by adding these 3 packages :

python2-dev
gpgme-dev
libc-dev

And the Dockerfile will be :

Source https://stackoverflow.com/questions/58629049

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

Vulnerabilities

No vulnerabilities reported

Install neurotools

You can download it from GitHub.
You can use neurotools 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 .

Find more information at: