hci_sum_sch_2018 | PowerPoint presentation and sample code

by yosais Python Version: Current License: MIT

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

kandi X-RAY | hci_sum_sch_2018 Summary

hci_sum_sch_2018 is a Python library. hci_sum_sch_2018 has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However hci_sum_sch_2018 build file is not available. You can download it from GitHub.

PowerPoint presentation and sample code for the HCI summer school 2018, Riyadh, Saudi Arabia.

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Quality

Security

License

Reuse

Support

hci_sum_sch_2018 has a low active ecosystem.

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

It had no major release in the last 6 months.

hci_sum_sch_2018 has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of hci_sum_sch_2018 is current.

Quality

hci_sum_sch_2018 has no bugs reported.

Security

hci_sum_sch_2018 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

hci_sum_sch_2018 is licensed under the MIT License. This license is Permissive.

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

Reuse

hci_sum_sch_2018 releases are not available. You will need to build from source code and install.

hci_sum_sch_2018 has no build file. You will be need to create the build yourself to build the component from source.

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hci_sum_sch_2018 Key Features

No Key Features are available at this moment for hci_sum_sch_2018.

hci_sum_sch_2018 Examples and Code Snippets

No Code Snippets are available at this moment for hci_sum_sch_2018.

Community Discussions

No Community Discussions are available at this moment for hci_sum_sch_2018.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install hci_sum_sch_2018

You can download it from GitHub.
You can use hci_sum_sch_2018 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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