cowfish | A useful asynchronous library bases on aiobotocore | Reactive Programming library

by guyingbo Python Version: 0.3.1 License: MIT

X-Ray Key Features Code Snippets(2)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | cowfish Summary

cowfish is a Python library typically used in Programming Style, Reactive Programming applications. cowfish has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install cowfish' or download it from GitHub, PyPI.

A useful asynchronous library that is built on top of aiobotocore.

Support

Quality

Security

License

Reuse

Support

cowfish has a low active ecosystem.

It has 6 star(s) with 2 fork(s). There are 3 watchers for this library.

It had no major release in the last 12 months.

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

It has a neutral sentiment in the developer community.

The latest version of cowfish is 0.3.1

Quality

cowfish has no bugs reported.

Security

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

License

cowfish 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

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

Deployable package is available in PyPI.

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

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

Top functions reviewed by kandi - BETA

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

Go to the firehose
Write record to queue
Stop the worker
Display the state of the firehose
Start the server
Close the pool
Continuously run forever
Fetch all messages from the queue
Write a fluent
Write obj to the stream
Write a single record to the stream
Remove all connections from the pool
Log RPC message
Import a function
Write a batch of messages to the queue
Get queue URL
Writes a batch of objects to the delivery stream
Encode a list of objects
Write batch of records to Kafka
Returns the key for the given object
Change messages in the queue
Get the queue URL
Write a list of records to the storage
Acquire a coroutine
Delete a batch of messages
Show firehose state

Get all kandi verified functions for this library.

cowfish Key Features

No Key Features are available at this moment for cowfish.

cowfish Examples and Code Snippets

cowfish,Examples

Python

Lines of Code : 6

License : Permissive (MIT)

Copy

firehose = Firehose(name, worker_params={'maxsize': 1000})

async def go():
    await firehose.put({'a': 3, 'b': 4})
    ...
    await firehose.stop()

cowfish,Usage

Python

Lines of Code : 1

License : Permissive (MIT)

Copy

python -m cowfish.sqsprocesser queue_name region_name

Community Discussions

Trending Discussions on cowfish

How to plot mean CPUE for multiple species with ggplot in R

QUESTION

How to plot mean CPUE for multiple species with ggplot in R

Asked 2020-May-24 at 20:42

I'm trying to figure out the best way to plot mean CPUE for the top 5 most abundant species by year. I was able to plot these all separately, but it requires a lot of code and gets messy and I can't figure out how to get them all on the same figure.

This is a subset of my data

...

ANSWER

Answered 2020-May-24 at 06:58

Get the most common species according to mean CPUE value over all years

Source https://stackoverflow.com/questions/61978050

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

Vulnerabilities

No vulnerabilities reported

Install cowfish

You can install using 'pip install cowfish' or download it from GitHub, PyPI.
You can use cowfish 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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