session_schedules | Tools for scheduling observations with the LWA

by lwa-project Python Version: Current License: GPL-2.0

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

kandi X-RAY | session_schedules Summary

session_schedules is a Python library typically used in Internet of Things (IoT) applications. session_schedules has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

Session Schedules is a collection of python modules and scripts for building MCS0030 compliant session definition files (SDFs). Session Schedules builds off of the LSL 1.2.x framework for working with LWA data and also depends on the following python modules: * pytz * wxPython. Note: LSL version 1.2.0 or later is required to use the latest version of sessionGUI.py. No installation (e.g., python setup.py install) is required to use the software. Simply run the scripts in the SessionSchedules directory.

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Quality

Security

License

Reuse

Support

session_schedules has a low active ecosystem.

It has 2 star(s) with 0 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

session_schedules has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of session_schedules is current.

Quality

session_schedules has 0 bugs and 0 code smells.

Security

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

session_schedules code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

session_schedules is licensed under the GPL-2.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

session_schedules 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.

It has 8753 lines of code, 379 functions and 14 files.

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

Top functions reviewed by kandi - BETA

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

Parse the input file .
Called when the user clicks .
Add columns .
Update the search criteria
Initialize the plot .
Draw the panels .
Generate the rADEC from an observer .
Shift a week based on a given start week .
Define a list of projects .
Sets the check flag .

Get all kandi verified functions for this library.

session_schedules Key Features

No Key Features are available at this moment for session_schedules.

session_schedules Examples and Code Snippets

No Code Snippets are available at this moment for session_schedules.

Community Discussions

Trending Discussions on Internet of Things (IoT)

Display data from two json files in react native

QUESTION

Display data from two json files in react native

Asked 2020-May-17 at 23:55

I have js files Dashboard and Adverts. I managed to get Dashboard to list the information in one json file (advertisers), but when clicking on an advertiser I want it to navigate to a separate page that will display some data (Say title and text) from the second json file (productadverts). I can't get it to work. Below is the code for the Dashboard and next for Adverts. Then the json files

...

ANSWER

Answered 2020-May-17 at 23:55

The new object to get params in React Navigation 5 is:

Source https://stackoverflow.com/questions/61859411

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

Vulnerabilities

No vulnerabilities reported

Install session_schedules

You can download it from GitHub.
You can use session_schedules 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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