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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-flask2-2.3.3-1.lbn36.noarch: Flask is called a “micro-framework” because the idea to keep the core simple but extensible. There is no database abstraction layer, no form validation or anything else where different libraries already exist that can handle that. However Flask knows the concept of extensions that can add this functionality into your application as if it was implemented in Flask itself. There are currently extensions for object relational mappers, form validation, upload handling, various open authentication technologies and more. Python 3 version.

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 .

python3-ibm-cloud-security-advisor-findingsapi-sdk-2.0.7-1.lbn36.noarch: NOTE : This repo is planned to be sunset by May 31st 2020, new SDK is available at ibm_security_advisor_findings_api_sdkThis repository contains the released Python client SDK for IBM Cloud Security Advisor Findings API . Check out our [API documentation]( for more details. NoticeSupport for Python versions 2.x and versions < 3.4 is deprecated and will be officially dropped in the next major...

python3-ibm-cloud-security-advisor-2.0.0-1.lbn36.noarch: This repository contains the released python client SDK for IBM Cloud Security Advisor Findings and Notifications APIs

python3-ibm-cloud-sdk-core-3.23.0-1.lbn36.noarch: This project contains core functionality required by Python code generated by the IBM Cloud OpenAPI SDK Generator (openapi-sdkgen).

python3-ibm-cloud-networking-services-0.24.0-1.lbn36.noarch: Python client library to interact with various IBM Cloud Networking Service APIs.

python3-ibm-cloud-databases-0.1.0-1.lbn36.noarch: Python client library to interact with various IBM Cloud Cloud Databases APIs.

python3-ibm-cloud-cis-services-0.0.0-1.lbn36.noarch: IBM Cloud Internet Services Python SDK

python3-orjson-3.8.10-1.fc36.x86_64: orjosn is a fast, correct Python JSON library supporting dataclasses, datetimes, and numpy

python3-kerberos-1.3.0-25.lbn36.x86_64: This Python package is a high-level wrapper for Kerberos (GSSAPI) operations. The goal is to avoid having to build a module that wraps the entire Kerberos framework, and instead offer a limited set of functions that do what is needed for client/server Kerberos authentication based on <http://www.ietf.org/rfc/rfc4559.txt>.

python3-jsonpickle-3.0.1-1.lbn36.noarch: jsonpickle is a library for the two-way conversion of complex Python objects and JSON. jsonpickle builds upon the existing JSON encoders, such as simplejson, json, and ujson. Warning jsonpickle can execute arbitrary Python code. Please see the Security section for more details.

python3-jsonpath-python-1.0.6-1.lbn36.noarch: - [jsonpath-python](jsonpath-python) - [Features](features) - [JSONPath Syntax](jsonpath-syntax) - [Operators](operators) - [Examples](examples) - [Select Fields](select-fields) - [Recursive Descent](recursive-descent) - [Slice](slice) - [Filter Expression](filter-expression) - [Sorter Expression](sorter-expression) - [Field-Extractor Expression](field-extractor- expression) - [Appendix:...

python3-langtable-0.0.58-1.fc36.noarch: This package contains a Python module to query the data from langtable-data.

python3-langsmith-0.4.5-1.lbn36.noarch: LangSmith Client SDK This package contains the Python client for interacting with the LangSmith platform. LangSmith helps you and your team develop and evaluate language models and intelligent agents. It is compatible with any LLM Application and provides seamless integration with LangChain, a widely recognized open-source framework that simplifies the process for developers to create powerful language model applications.

python3-langserve-0.0.27-1.lbn36.noarch: 🦜️🏓 LangServe 🚩 We will be releasing a hosted version of LangServe for one-click deployments of LangChain applications. Sign up here to get on the waitlist. Overview LangServe helps developers deploy LangChain runnables and chains as a REST API. This library is integrated with FastAPI and uses pydantic for data validation. In addition, it provides a client that can be used to call into runnables deployed on a server. A javascript client is available in LangChainJS. Features Input and Output schemas automatically inferred from your LangChain object, and enforced on every API call, with rich error messages API docs page with JSONSchema and Swagger (insert example link) Efficient /invoke, /batch and /stream endpoints with support for many concurrent requests on a single server /stream_log endpoint for streaming all (or some) intermediate steps from your chain/agent Playground page at /playground with streaming output and intermediate steps Built-in (optional) tracing to LangSmith, ju

python3-langchain-0.3.26-1.lbn36.noarch: 🦜️🔗 LangChain Building applications with LLMs through composability 🤔 What is this? Large language models (LLMs) are emerging as a transformative technology, enabling developers to build applications that they previously could not. However, using these LLMs in isolation is often insufficient for creating a truly powerful app - the real power comes when you can combine them with other sources of computation or knowledge.

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