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python3-s3fs-2024.6.1-1.lbn36.noarch: S3FS builds on aiobotocore to provide a convenient Python filesystem interface for S3. View the documentation for s3fs.

python3-requests-mock-1.10.0-8.lbn36.noarch: requests-mock provides a building block to stub out the HTTP requests portions of your testing code. You should checkout the docs for more information.

python3-pydantic-settings-2.0.3-1.lbn36.noarch: pydantic-settings Settings management using Pydantic, this is the new official home of Pydantic's BaseSettings. This package was kindly donated to the Pydantic organisation by Daniel Daniels, see pydantic/pydantic#4492 for discussion. For the old "Hipster-orgazmic tool to mange application settings" package, see version 0.2.5. See documentation for more details.

python3-pydantic-extra-types-2.4.1-1.lbn36.noarch: Pydantic Extra Types A place for pydantic types that probably shouldn't exist in the main pydantic lib. See pydantic/pydantic#5012 for more info.

python3-pydantic-core-2.1.2-1.lbn36.x86_64: pydantic-core This package provides the core functionality for pydantic validation and serialization. Pydantic-core is currently around 17x faster than pydantic V1. See tests/benchmarks/ for details. Example of direct usage NOTE: You should not need to use pydantic-core directly; instead, use pydantic, which in turn uses pydantic-core. from pydantic_core import SchemaValidator, ValidationError v = SchemaValidator( { 'type': 'typed-dict', 'fields': { 'name': { 'type': 'typed-dict-field', 'schema': { 'type': 'str', }, }, 'age': { 'type': 'typed-dict-field', 'schema': { 'type': 'int', 'ge': 18, }, }, 'is_developer': { 'type': 'typed-dict-field', 'schema': { 'type': 'default', 'sc

python3-pydantic-2.0.2-1.lbn36.noarch: Data validation and settings management using python type hinting.

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.

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.

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.

python3-hdfs-2.7.3-1.lbn36.noarch: HdfsCLI [![CI]( [![Pypi badge]( [![Downloads badge]( and command line interface for HDFS. $ hdfscli --aliasdevWelcome to the interactive HDFS python shell. The HDFS client is available as CLIENT.In [1]: CLIENT.list('models/') Out[1]: ['1.json', '2.json']In [2]: CLIENT.status('models/2.json') Out[2]: { 'accessTime': 1439743128690, 'blockSize': 134217728,

python3-scramp-1.4.5-1.lbn36.noarch: Scramp is a pure-Python implementation of the SCRAM authentication protocol.

python3-redshift-connector-2.1.3-1.lbn36.noarch: redshift_connector is the Amazon Redshift connector for Python. Easy integration with pandas and numpy, as well as support for numerous Amazon Redshift specific features help you get the most out of your data Supported Amazon Redshift features include: IAM authentication Identity provider (IdP) authentication Redshift specific data types This pure Python connector implements Python Database API Specification 2.0.

python3-pyathena+sqlalchemy-3.12.2-1.lbn36.noarch: This is a metapackage bringing in sqlalchemy extras requires for python3-pyathena. It makes sure the dependencies are installed.

python3-pyathena+pandas-3.12.2-1.lbn36.noarch: This is a metapackage bringing in pandas extras requires for python3-pyathena. It makes sure the dependencies are installed.

python3-pyathena+fastparquet-3.12.2-1.lbn36.noarch: This is a metapackage bringing in fastparquet extras requires for python3-pyathena. It makes sure the dependencies are installed.

python3-pyathena+arrow-3.12.2-1.lbn36.noarch: This is a metapackage bringing in arrow extras requires for python3-pyathena. It makes sure the dependencies are installed.

python3-pyathena-3.12.2-1.lbn36.noarch: PyAthena is a Python DB API 2.0 (PEP 249) client for Amazon Athena.

python3-ibmcloudant-0.9.1-1.lbn36.noarch: IBM Cloudant Python SDK Version 0.10.0 IBM Cloudant Python SDK is a client library that interacts with the IBM Cloudant APIs. Disclaimer: This library is still a 0.x release. We do consider this library production-ready and capable, but there are still some limitations we’re working to resolve, and refinements we want to deliver. We are working really hard to minimise the disruption from now until the 1.0 release, but there may still be some changes that impact applications using this SDK. For now, be sure to pin versions to avoid surprises. Table of Contents Overview Features Prerequisites Installation Using the SDK Authentication Authentication with environment variables IAM API key authentication IAM Trusted profile (container) authentication IAM Trusted profile (VPC) authentication Session cookie authentication Authentication with external configuration Programmatic authentication Automatic retries Request timeout configuration Code examples 1. Create a database and add a

python3-ibmcclient-0.2.5.1-1.lbn36.noarch: python-ibmcclient is a Python library to communicate with HUAWEI `iBMC` based systems. The goal of the library is to be extremely simple, small, have as few dependencies as possible and be very conservative when dealing with BMCs by access HTTP REST API provided by HUAWEI `iBMC` based systems. Currently, the scope of the library has been limited to supporting OpenStack Ironic ibmc driver.

python3-ibm-cloud-security-advisor-test-1.1.1-1.lbn36.noarch: This repository contains the released python client SDK for IBM Cloud Security Advisor Findings and Notifications APIs .


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