janetcode | Code for Janet learning python

by peacetara Python Version: Current License: No License

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

kandi X-RAY | janetCode Summary

janetCode is a Python library. janetCode has no bugs, it has no vulnerabilities and it has low support. However janetCode build file is not available. You can download it from GitLab.

Code for Janet learning python

Support

Quality

Security

License

Reuse

Support

janetCode has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

janetCode has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of janetCode is current.

Quality

janetCode has no bugs reported.

Security

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

License

janetCode does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

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

Top functions reviewed by kandi - BETA

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janetCode Key Features

No Key Features are available at this moment for janetCode.

janetCode Examples and Code Snippets

No Code Snippets are available at this moment for janetCode.

Community Discussions

No Community Discussions are available at this moment for janetCode.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install janetCode

You can download it from GitLab.
You can use janetCode 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 GitLab. If you have any questions check and ask questions on community page Stack Overflow .

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