python-cookiecutter | Cookiecutter template for python projects

by rgreinho Python Version: 1.5.0 License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | python-cookiecutter Summary

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

Cookiecutter template for python projects

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python-cookiecutter has a low active ecosystem.

It has 13 star(s) with 3 fork(s). There are 1 watchers for this library.

It had no major release in the last 12 months.

python-cookiecutter has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of python-cookiecutter is 1.5.0

Quality

python-cookiecutter has no bugs reported.

Security

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

License

python-cookiecutter 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

python-cookiecutter releases are available to install and integrate.

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

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Execute the worker
Execute the action

Get all kandi verified functions for this library.

python-cookiecutter Key Features

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

python-cookiecutter Examples and Code Snippets

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

Community Discussions

Trending Discussions on python-cookiecutter

how to create a python package created using pybind?

Performance of xtensor types vs. NumPy for simple reduction

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

QUESTION

Performance of xtensor types vs. NumPy for simple reduction

Asked 2017-Nov-23 at 10:55

I was trying out xtensor-python and started by writing a very simple sum function, after using the cookiecutter setup and enabling SIMD intrinsics with xsimd.

...

ANSWER

Answered 2017-Nov-23 at 10:55

wow this is a coincidence! I am working on exactly this speedup!

xtensor's sum is a lazy operation -- and it doesn't use the most performant iteration order for (auto-)vectorization. However, we just added a evaluation_strategy parameter to reductions (and the upcoming accumulations) which allows you to select between immediate and lazy reductions.

Immediate reductions perform the reduction immediately (and not lazy) and can use a iteration order optimized for vectorized reductions.

You can find this feature in this PR: https://github.com/QuantStack/xtensor/pull/550

In my benchmarks this should be at least as fast or faster than numpy. I hope to get it merged today.

Btw. please don't hesitate to drop by our gitter channel and post a link to the question, we need to monitor StackOverflow better: https://gitter.im/QuantStack/Lobby

Source https://stackoverflow.com/questions/47240338

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