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This is a minimal tool designed to interact with the Digital Ocean API. This does not translate all functionalities of the API but is a template I created for some of the most common operations I could perform. New tools will be added in the future as I familiarize myself further with the API structure and use as a student. For now this tool allows you to summarize all your droplets running, including and necessarily a price summary to keep tabs on your droplets monthly and hourly rates. The tool also allows you to seach by tags, delete a drop or perfrom actions such as start, stop or shutdown a droplet. To install Python CLI for Digital Ocean you can install using two methods pip install pydrop or you can also try git clone https://github.com/samapriya/pydrop.git cd pydrop python setup.py install
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 7 |

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