arlpy | ARL Python Tools - | Build Tool library

by org-arl Python Version: 1.8.4 License: BSD-3-Clause

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

kandi X-RAY | arlpy Summary

arlpy is a Python library typically used in Utilities, Build Tool applications. arlpy has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install arlpy' or download it from GitHub, PyPI.

ARL Python Tools

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arlpy has a low active ecosystem.

It has 94 star(s) with 31 fork(s). There are 16 watchers for this library.

There were 1 major release(s) in the last 12 months.

There are 10 open issues and 58 have been closed. On average issues are closed in 57 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of arlpy is 1.8.4

Quality

arlpy has 0 bugs and 0 code smells.

Security

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

arlpy code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

arlpy 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

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

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

arlpy saves you 7902 person hours of effort in developing the same functionality from scratch.

It has 16273 lines of code, 228 functions and 21 files.

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

Top functions reviewed by kandi - BETA

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

Get data from a directory
Read data from a numpy array
Close all opened files
Calculates the length of the data file
Create an environment dict
Validate a 2D environment
Return a string representation of a longitude
Generate a music model
Compute the covariance matrix
Calculate the Bartlett transform
Plot power spectral density
Generate a progress bar
Return a broadcastable version of x
Convert a binary polynomial to bin coordinates
Plot sound spectrum
Compute the qam
Visualize a spectrogram
Plot Bartlett response
Plot the rays
Plot the loss of a loss
Plot complex qubits
Generate a caponillary capon
Calculate the bandwidth of an array
Load numpy array
Plot the frequency in Hz
Read signals from a file

Get all kandi verified functions for this library.

arlpy Key Features

No Key Features are available at this moment for arlpy.

arlpy Examples and Code Snippets

No Code Snippets are available at this moment for arlpy.

Community Discussions

Trending Discussions on arlpy

arlpy.bf.steering doesn't exist in ARL py tools package

QUESTION

arlpy.bf.steering doesn't exist in ARL py tools package

Asked 2021-Feb-08 at 13:53

I am trying to run this example from ARL py Tools documentation for generating Barlett Beampattern which mentions usage of arlpy.bf.steering(); but when I try to run it says steering() not found.

...

ANSWER

Answered 2021-Feb-08 at 13:53

This has been resolved now, as it seems that it arlpy.bf.steering() stayed from the pervious version which is now outdated and it will be updated to arlpy.bf.steering_plane_wave() in the next release.

Check my issue post on their github for more information: https://github.com/org-arl/arlpy/issues/61 which has been closed now.

Source https://stackoverflow.com/questions/66099522

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

Vulnerabilities

No vulnerabilities reported

Install arlpy

You can install using 'pip install arlpy' or download it from GitHub, PyPI.
You can use arlpy 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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