dopy | To Do list on Command Line Interface | Database library

by rochacbruno-archive Python Version: Current License: No License

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

kandi X-RAY | dopy Summary

dopy is a Python library typically used in Database applications. dopy has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

To Do list on Command Line Interface. Manage to-do list on a shell based simple interface and stores your to-do locally on a sqlite database. optionally use your Dropbox to store the database.

Support

Quality

Security

License

Reuse

Support

dopy has a low active ecosystem.

It has 18 star(s) with 3 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 2504 days. There are no pull 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 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

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.

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

dopy saves you 3895 person hours of effort in developing the same functionality from scratch.

It has 8296 lines of code, 845 functions and 8 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.

Parse the query as a REST query .
Fetch records from IMAP server
Test all tests .
Imports the table from a csv file .
Migrate a table .
Execute raw query .
Returns valid SQLAlchemy validators for a field .
Export to a csv file
Store a file .
show a note

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 .

Find more information at: