hbt_projects | Repository containig codes for projects carried out at HBT

by binello7 Jupyter Notebook Version: Current License: No License

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

kandi X-RAY | hbt_projects Summary

hbt_projects is a Jupyter Notebook library. hbt_projects has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Repository containig codes for projects carried out at HBT. The repository uses: Python 3.10.9 | packaged by conda-forge | (main, Jan 11 2023, 15:15:40) [MSC v.1916 64 bit (AMD64)] on win32.

Support

Quality

Security

License

Reuse

Support

hbt_projects has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of hbt_projects is current.

Quality

hbt_projects has no bugs reported.

Security

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

License

hbt_projects 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

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

Installation instructions are available. Examples and code snippets are not available.

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hbt_projects Key Features

No Key Features are available at this moment for hbt_projects.

hbt_projects Examples and Code Snippets

No Code Snippets are available at this moment for hbt_projects.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install hbt_projects

The packages needed to run the codes in this repository should be installed in a conda environment. To do this, first create the conda environment: conda create --name hbt_projects python=3.10. To install a new package use the command: conda install PACKAGENAME --channel conda-forge. To export the installed packages to a requirements.txt file run: conda list -e > requirements.txt --explicit. To install the packages listed in a requirements.txt file do: conda install --file requirements.txt.

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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