api-training | resources used in the There 's An API
kandi X-RAY | api-training Summary
kandi X-RAY | api-training Summary
api-training is a Python library. api-training has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However api-training build file is not available. You can download it from GitHub.
These are the resources used in the "There's An API for that!" workshops sponsored by the ArchivesSpace Org Home in 2018. Note that these are the scripts used in the workshop itself. For additional scripts and resources referenced in the workshop, navigate to the additional resources subfolder, above. These scripts and this documentation, combined with the workshop itself, are meant to encourage and empower users to run Python scripts at their home institutions. The following details are meant to be understood in order.
These are the resources used in the "There's An API for that!" workshops sponsored by the ArchivesSpace Org Home in 2018. Note that these are the scripts used in the workshop itself. For additional scripts and resources referenced in the workshop, navigate to the additional resources subfolder, above. These scripts and this documentation, combined with the workshop itself, are meant to encourage and empower users to run Python scripts at their home institutions. The following details are meant to be understood in order.
Support
Quality
Security
License
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Support
api-training has a low active ecosystem.
It has 7 star(s) with 4 fork(s). There are 8 watchers for this library.
It had no major release in the last 6 months.
api-training has no issues reported. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of api-training is current.
Quality
api-training has no bugs reported.
Security
api-training has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
api-training is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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api-training releases are not available. You will need to build from source code and install.
api-training has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed api-training and discovered the below as its top functions. This is intended to give you an instant insight into api-training implemented functionality, and help decide if they suit your requirements.
- Prints the elapsed time
- Convert seconds to a string
- Ends the program
- Prints the given time
- Search and destroy records
- Login to Vault
- Test if the connection is running
Get all kandi verified functions for this library.
api-training Key Features
No Key Features are available at this moment for api-training.
api-training Examples and Code Snippets
No Code Snippets are available at this moment for api-training.
Community Discussions
No Community Discussions are available at this moment for api-training.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install api-training
You can download it from GitHub.
You can use api-training 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.
You can use api-training 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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