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Data Theft Repackaged: A Case Study in Malicious Wrapper Packages on npm
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
|pypi| |conda forge| |conda-forge| |Build Status| |codecov| |docs| |DOI| |license| |Code style|
xrft is an open-source Python package for taking the discrete Fourier transform (DFT) on xarray_ and dask_ arrays.
.. _xarray: http://xarray.pydata.org/en/stable/ .. _dask: https://dask.org
It is:
numpy FFT
_ and provides a simple, high-level API.dask API of FFT
_ and map_blocks
_ to allow parallelization of DFT... _numpy FFT: https://docs.scipy.org/doc/numpy/reference/routines.fft.html .. _dask API of FFT: http://docs.dask.org/en/latest/array-api.html?highlight=fft#fast-fourier-transforms .. _map_blocks: http://docs.dask.org/en/latest/array-api.html?highlight=map_blocks#dask.array.core.map_blocks
Please cite the doi <https://doi.org/10.5281/zenodo.1402635>
_ if you find this
package useful in order to support its continuous development.
on GitHub
_... _on GitHub: https://github.com/xgcm/xrft
.. |pypi| image:: https://badge.fury.io/py/xrft.svg :target: https://badge.fury.io/py/xrft :alt: pypi package .. |conda forge| image:: https://img.shields.io/conda/vn/conda-forge/xrft :target: https://anaconda.org/conda-forge/xrft .. |conda-forge| image:: https://img.shields.io/conda/dn/conda-forge/xrft?label=conda-forge :target: https://anaconda.org/conda-forge/xrft .. |DOI| image:: https://zenodo.org/badge/DOI/10.5281/zenodo.1402635.svg :target: https://doi.org/10.5281/zenodo.1402635 .. |Build Status| image:: https://img.shields.io/github/workflow/status/xgcm/xrft/CI?logo=github :target: https://github.com/xgcm/xrft/actions :alt: GitHub Workflow CI Status .. |codecov| image:: https://codecov.io/github/xgcm/xrft/coverage.svg?branch=master :target: https://codecov.io/github/xgcm/xrft?branch=master :alt: code coverage .. |docs| image:: http://readthedocs.org/projects/xrft/badge/?version=latest :target: http://xrft.readthedocs.io/en/latest/?badge=latest :alt: documentation status .. |license| image:: https://img.shields.io/github/license/mashape/apistatus.svg :target: https://github.com/xgcm/xrft :alt: license .. |Code style| image:: https://img.shields.io/badge/code%20style-black-000000.svg :target: https://github.com/python/black :alt: Code style
FAQs
Discrete Fourier Transform with xarray
We found that xrft demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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