embedPy | Allows the kdb interpreter to call Python functions | Continuous Deployment library

by KxSystems Python Version: 1.5.0 License: Apache-2.0

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

kandi X-RAY | embedPy Summary

embedPy is a Python library typically used in Devops, Continuous Deployment, Docker applications. embedPy has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However embedPy build file is not available. You can download it from GitHub.

There are three ways to install embedPy on your local machine:. 32-bit Linux/Arm builds require users to build from source, there is not currenly a conda build or provided pre-compiled binary.

Support

Quality

Security

License

Reuse

Support

embedPy has a low active ecosystem.

It has 78 star(s) with 35 fork(s). There are 23 watchers for this library.

It had no major release in the last 12 months.

There are 4 open issues and 41 have been closed. On average issues are closed in 84 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of embedPy is 1.5.0

Quality

embedPy has 0 bugs and 0 code smells.

Security

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

embedPy code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

embedPy is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

embedPy releases are available to install and integrate.

embedPy 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.

It has 191 lines of code, 4 functions and 1 files.

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

Top functions reviewed by kandi - BETA

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

Get options from kdb
License license
Prompt user for input

Get all kandi verified functions for this library.

embedPy Key Features

No Key Features are available at this moment for embedPy.

embedPy Examples and Code Snippets

No Code Snippets are available at this moment for embedPy.

Community Discussions

Trending Discussions on embedPy

Imaging plotly figure as image in jupyterq using embedpy

QUESTION

Imaging plotly figure as image in jupyterq using embedpy

Asked 2020-Jul-20 at 02:48

When I try t display a plotly graph from pyhton as image that works fine

...

ANSWER

Answered 2020-Jul-17 at 16:13

Thanks for highlighting the issue, at the moment we do not currently have a fix for this, but an issue has been raised on GitHub https://github.com/KxSystems/jupyterq/issues/55 and it is being looked into.

Source https://stackoverflow.com/questions/62946061

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

Vulnerabilities

No vulnerabilities reported

Install embedPy

Download a release archive from the releases page, and unzip it. In the unzipped directory, run the tests. Install: put p.q and p.k in QHOME and the library file (p.so for macOS/Linux or p.dll for Windows) in $QHOME/{l64,m64,w64}.
Download a release archive from the releases page, and unzip it.
In the unzipped directory, run the tests. $ q test.q
Install: put p.q and p.k in QHOME and the library file (p.so for macOS/Linux or p.dll for Windows) in $QHOME/{l64,m64,w64}.
Clone this repository from GitHub. To run embedPy without Internet access, download the kdb+ C API header file and place it in the build directory. Build the interface and run the tests. Install: put p.q and p.k in $QHOME and p.so in $QHOME/{l64,l32,m64}. For ease of install on 32-bit Arm and linux it is suggested that a new user should use a miniconda version of python specific to the architecture being used, for example rpi for raspberry pi. This is not an explicit requirement but makes install of embedPy and python packages more seamless.
Clone this repository from GitHub.
To run embedPy without Internet access, download the kdb+ C API header file and place it in the build directory.
Build the interface and run the tests. $ make p.so && q test.q
Install: put p.q and p.k in $QHOME and p.so in $QHOME/{l64,l32,m64}.
This requires either macOS or Linux.
Download and install either the full Anaconda distribution or Miniconda for Python3
Use the conda command to install packages as follows: $ conda install -c kx embedPy

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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