airstream | Serverless based event management | Cloud Storage library
kandi X-RAY | airstream Summary
kandi X-RAY | airstream Summary
AirStream is an event based queue system that allows us to syncronize data between various decoupled systems e.g. Rails API, SalesForce Management Cloud, AWS Redshift etc.
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Top functions reviewed by kandi - BETA
- Mock the event queue
- Put data on the queue
- Create a stream in the event queue
- Test user update
- Handler for Elasticsearch
- Mock the user queue
- Create a user stream
- Set up user index
- Create the user index
- Test user creation
airstream Key Features
airstream Examples and Code Snippets
Community Discussions
Trending Discussions on airstream
QUESTION
My code looks something like this at the moment:
...ANSWER
Answered 2022-Jan-06 at 17:40Perhaps there is a better solution, but you could use the parameter optionsAfterRender in the Options binding in order to modify the tag:
QUESTION
I have a pandas Series that I have converted into JSON for Angular to display in a table. The issue is that the key values are a python list under a string type. How can I convert the key into an array for Angular?
JSON:
...ANSWER
Answered 2020-Jun-06 at 03:06The best solution would be to export the data from Python in a proper JSON format. You could then parse the array as a real Javascript array using JSON.parse()
.
If you can't adjust mvaHits
, this should parse the Python array as a Javascript array and let you access the elements in the array. Note that this wouldn't work in all cases, especially if the strings in your array had commas. I would recommend not doing these conversions in the HTML for the sake of clarity and cleanliness, but rather when you load mvaHits
for the first time. But this should work:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install airstream
You can use airstream 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.
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