xtensor-python-cookiecutter | Cookiecutter for a Python project making use of xtensor | Data Manipulation library

by xtensor-stack Python Version: Current License: BSD-3-Clause

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

kandi X-RAY | xtensor-python-cookiecutter Summary

xtensor-python-cookiecutter is a Python library typically used in Utilities, Data Manipulation, Numpy applications. xtensor-python-cookiecutter has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However xtensor-python-cookiecutter build file is not available. You can download it from GitHub.

xtensor-python-cookiecutter helps extension authors create Python extension modules making use of xtensor. It takes care of the initial work of generating a project skeleton with.

Support

Quality

Security

License

Reuse

Support

xtensor-python-cookiecutter has a low active ecosystem.

It has 26 star(s) with 8 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 2 have been closed. On average issues are closed in 31 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of xtensor-python-cookiecutter is current.

Quality

xtensor-python-cookiecutter has 0 bugs and 0 code smells.

Security

xtensor-python-cookiecutter has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

xtensor-python-cookiecutter code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

xtensor-python-cookiecutter is licensed under the BSD-3-Clause License. This license is Permissive.

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

Reuse

xtensor-python-cookiecutter releases are not available. You will need to build from source code and install.

xtensor-python-cookiecutter 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.

It has 118 lines of code, 7 functions and 3 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Build the build extensions
Check if the given flag has a given flag
Return the flag to flag the compiler

Get all kandi verified functions for this library.

xtensor-python-cookiecutter Key Features

No Key Features are available at this moment for xtensor-python-cookiecutter.

xtensor-python-cookiecutter Examples and Code Snippets

No Code Snippets are available at this moment for xtensor-python-cookiecutter.

Community Discussions

Trending Discussions on xtensor-python-cookiecutter

how to create a python package created using pybind?

QUESTION

how to create a python package created using pybind?

Asked 2020-Mar-05 at 16:59

I created a miniconda environment using the following command:

...

ANSWER

Answered 2020-Mar-05 at 16:59

You should be able to run python setup.py bdist_wheel. This will create a wheel that you can upload on pypi.

You can test if it works with pip install dist/name_of_your_wheel before uploading it.

Let me know if you encounter any issue

Source https://stackoverflow.com/questions/60501061

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

Vulnerabilities

No vulnerabilities reported

Install xtensor-python-cookiecutter

You can download it from GitHub.
You can use xtensor-python-cookiecutter 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: