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python3-aiobotocore-2.9.0-1.lbn36.noarch
Async client for amazon services using botocore and aiohttp/asyncio.
This library is a mostly full featured asynchronous version of botocore.
Basic Example
import asyncio
from aiobotocore.session import get_session
AWS_ACCESS_KEY_ID = "xxx"
AWS_SECRET_ACCESS_KEY = "xxx"
async def go():
bucket = 'dataintake'
filename = 'dummy.bin'
folder = 'aiobotocore'
key = '{}/{}'.format(folder, filename)
session = get_session()
async with session.create_client('s3', region_name='us-west-2',
aws_secret_access_key=AWS_SECRET_ACCESS_KEY,
aws_access_key_id=AWS_ACCESS_KEY_ID) as client:
data = b'x01'*1024
resp = await client.put_object(Bucket=bucket,
Key=key,
Body=data)
print(resp)
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python3-asyncpg-0.30.0-1.lbn36.x86_64
asyncpg is a database interface library designed specifically for PostgreSQL
and Python/asyncio. asyncpg is an efficient, clean implementation of PostgreSQL
server binary protocol for use with Python’s asyncio framework. You can read
more about asyncpg in an introductory blog post
http://magic.io/blog/asyncpg-1m-rows-from-postgres-to-python/.
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python3-asyncssh-2.14.2-5.lbn36.noarch
Python 3 library for asynchronous client and
server-side SSH communication. It uses the Python asyncio module and
implements many SSH protocol features such as the various channels,
SFTP, SCP, forwarding, session multiplexing over a connection and more.
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python3-atlasclient-1.0.0-1.lbn36.noarch
Apache Atlas Client in Python :target:
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python3-cgroupspy-0.2.2-1.lbn36.noarch
[
Out[1]: ['1.json', '2.json']In [2]: CLIENT.status('models/2.json') Out[2]: {
'accessTime': 1439743128690, 'blockSize': 134217728,
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python3-hdfs+avro-2.7.3-1.lbn36.noarch
This is a metapackage bringing in avro extras requires for python3-hdfs.
It makes sure the dependencies are installed.
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BastionLinux 36
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python3-hdfs+dataframe-2.7.3-1.lbn36.noarch
This is a metapackage bringing in dataframe extras requires for python3-hdfs.
It makes sure the dependencies are installed.
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python3-plyvel-1.5.1-1.lbn36.x86_64
Plyvel is a fast and feature-rich Python interface to the LevelDB embedded
database library. It has a rich feature set, high performance, and a friendly
Pythonic API.
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