mcc-mnc-table | Mobile Country Codes and Mobile Network Codes | iOS library

by musalbas Python Version: Current License: MIT

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

kandi X-RAY | mcc-mnc-table Summary

mcc-mnc-table is a Python library typically used in Mobile, iOS, React Native, Nodejs applications. mcc-mnc-table has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However mcc-mnc-table build file is not available. You can download it from GitHub.

Mobile Country Codes (MCC) and Mobile Network Codes (MNC) table in CSV, JSON and XML. Updated daily.

Support

Quality

Security

License

Reuse

Support

mcc-mnc-table has a low active ecosystem.

It has 348 star(s) with 200 fork(s). There are 42 watchers for this library.

It had no major release in the last 6 months.

There are 8 open issues and 17 have been closed. On average issues are closed in 111 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of mcc-mnc-table is current.

Quality

mcc-mnc-table has 0 bugs and 0 code smells.

Security

mcc-mnc-table has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

mcc-mnc-table code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

mcc-mnc-table 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

mcc-mnc-table releases are not available. You will need to build from source code and install.

mcc-mnc-table has no build file. You will be need to create the build yourself to build the component from source.

It has 14563 lines of code, 0 functions and 4 files.

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

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of mcc-mnc-table

Get all kandi verified functions for this library.

mcc-mnc-table Key Features

No Key Features are available at this moment for mcc-mnc-table.

mcc-mnc-table Examples and Code Snippets

No Code Snippets are available at this moment for mcc-mnc-table.

Community Discussions

Trending Discussions on mcc-mnc-table

Python Plotly Dash TypeError: String indices must be integers

QUESTION

Python Plotly Dash TypeError: String indices must be integers

Asked 2018-Aug-23 at 08:06

I am newbee to python Dash. I need help regarding how to use Dash Core Components clickData to update the graph.

I have made a map and upon clicking its marker, it should display the graph of particular Network operator. However, whenever I click the graph, it displays that string indices must be integers for line

...

ANSWER

Answered 2018-Aug-23 at 08:06

@app.callback(
        dash.dependencies.Output('graph1','figure'),
        [dash.dependencies.Input('my_dropdown', 'value'),
        dash.dependencies.Input('Map1', 'clickData')],
        events=[dash.dependencies.Event('graph-update', 'interval')]
        )
    def Graph1(clickData, USN)

Source https://stackoverflow.com/questions/51947893

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

Vulnerabilities

No vulnerabilities reported

Install mcc-mnc-table

You can download it from GitHub.
You can use mcc-mnc-table 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

Pull requests for the code (.py files) are welcome. I do not accept any pull requests that directly modify the tables (.csv, .json and .xml files) in any way, as they are automatically generated by the Python scripts.

Find more information at: