dopy | Digital Ocean Python -

by Wiredcraft Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | dopy Summary

dopy is a Python library. dopy has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Digital Ocean Python

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Quality

Security

License

Reuse

Support

dopy has a low active ecosystem.

It has 95 star(s) with 61 fork(s). There are 54 watchers for this library.

It had no major release in the last 6 months.

There are 13 open issues and 14 have been closed. On average issues are closed in 362 days. There are 8 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of dopy is current.

Quality

dopy has 0 bugs and 0 code smells.

Security

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

dopy code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

dopy 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

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

Build file is available. You can build the component from source.

dopy saves you 251 person hours of effort in developing the same functionality from scratch.

It has 610 lines of code, 66 functions and 3 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed dopy and discovered the below as its top functions. This is intended to give you an instant insight into dopy implemented functionality, and help decide if they suit your requirements.

Create a new droplet
Return the JSON representation of the response
Show a specific droplet
Make a request to the API
Rebuild a droplet
Performs a single action
Edit a domain record
Make a GET request
Transfer an image
Performs an image action
Deletes a Floating IP
Create new SSH public key
Edit a tag
Gets all Floating IPs
Restore a droplet
Resize a droplet
Creates a new tag
List the Floating IP actions associated with a Floating IP
Create a new domain
Assign a Floating IP address to a droplet
Unassign a Floating IP
Tag a resource
Untags a resource
Create a new domain record
Creates a new Floating IP
Fetch a Floating IP action

Get all kandi verified functions for this library.

dopy Key Features

No Key Features are available at this moment for dopy.

dopy Examples and Code Snippets

No Code Snippets are available at this moment for dopy.

Community Discussions

Trending Discussions on dopy

Swift , Identing Table Views each row gets more indented

QUESTION

Swift , Identing Table Views each row gets more indented

Asked 2018-May-06 at 20:02

What it looks like

I am trying to make it so each name of the characters indents more and more with each row so from left then the next row goes a little more to the right and then the next row goes a little more to the right.

I simply can not figure out why I can't indent my labels one by one. Any help is appreciated.

...

ANSWER

Answered 2018-May-06 at 09:15

indentationLevelforRowAt allows you to display the table rows in a hierarchal / tree-view type format. But you want to indent just a part of your cell. Therefore I think you should play with your constraints.

One of possible solutions is create a leading constraint for label and in cellForRowAt method write something like this:

Source https://stackoverflow.com/questions/50196402

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

Vulnerabilities

No vulnerabilities reported

Install dopy

You can download it from GitHub.
You can use dopy 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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