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python3-pillow-tk-11.2.1-1.lbn36.x86_64

Tk interface for pillow.

python3-pinecone-6.0.2-1.lbn36.noarch

Pinecone Python SDK The official Pinecone Python SDK. Documentation Conceptual docs and guides Python Reference Documentation Upgrading the SDK [!NOTE] The official SDK package was renamed from pinecone-client to pinecone beginning in version 5.1.0. Please remove pinecone-client from your project dependencies and add pinecone instead to get the latest updates. For notes on changes between major versions, see Upgrading Prerequisites The Pinecone Python SDK is compatible with Python 3.9 and greater. It has been tested with CPython versions from 3.9 to 3.13. Before you can use the Pinecone SDK, you must sign up for an account and find your API key in the Pinecone console dashboard at https:/app.pinecone.io. Installation The Pinecone Python SDK is distributed on PyPI using the package name pinecone. By default the pinecone has a minimal set of dependencies, but you can install some extras to unlock additional functionality. Available extras: pinecone[asyncio] will add a dependency

python3-pinecone-client-4.1.2-1.lbn36.noarch

Pinecone Python Client The official Pinecone Python client. For more information, see the docs at https:/www.pinecone.io/docs/ Documentation If you are upgrading from a 2.2.x version of the client, check out the v3 Migration Guide. Reference Documentation Example code Many of the brief examples shown in this README are using very small vectors to keep the documentation concise, but most real world usage will involve much larger embedding vectors. To see some more realistic examples of how this client can be used, explore some of our many Jupyter notebooks in the examples repository. Prerequisites The Pinecone Python client is compatible with Python 3.8 and greater. Installation There are two flavors of the Pinecone python client. The default client installed from PyPI as pinecone-client has a minimal set of dependencies and interacts with Pinecone via HTTP requests. If you are aiming to maximimize performance, you can install additional gRPC dependencies to access an alternate clie

python3-pinecone-plugin-inference-0.4.1-1.lbn36.noarch

Inference API plugin for python SDK Installation The plugin is distributed separately from the core python sdk. pip install pinecone-client pip install pinecone-plugin-inference Usage Interact with Pinecone's Inference APIs, e.g. create embeddings (currently in preview). Models currently supported: multilingual-e5-large Generate embeddings The following example highlights how to use an embedding model to generate embeddings for a list of documents and a user query, with the ultimate goal of retrieving similar documents from a Pinecone index. from pinecone import Pinecone pc = Pinecone(api_key="<<PINECONE_API_KEY>>") model = "multilingual-e5-large" text = [ "Turkey is a classic meat to eat at American Thanksgiving.", "Many people enjoy the beautiful mosques in Turkey.", ] text_embeddings = pc.inference.embed( model=model, inputs=text, parameters={"input_

python3-pinecone-plugin-interface-0.0.7-1.lbn36.noarch

This small package is used to distribute a few classes and utilities used to build and consume plugins for the Pinecone Python SDK. At present this package is experimental and intended for internal use by Pinecone engineers iterating on new features. It should not be used by end-users or partners.

python3-pinotdb-0.2.4-1.lbn25.noarch

Python DB-API and SQLAlchemy dialect for Pinot This module allows accessing Pinot via its [SQL API]( Usage Using the DB API:python from pinotdb import connectconn connect(host'localhost', port8099, path'/query', scheme'http') curs conn.cursor() curs.execute(""" SELECT place, CAST(REGEXP_EXTRACT(place, '(.*),', 1) AS FLOAT) AS lat, CAST(REGEXP_EXTRACT(place, ',(.*)', 1) AS FLOAT) AS lon FROM...

python3-pinotdb-5.1.0-1.lbn36.noarch

Python DB-API and SQLAlchemy dialect for Pinot This module allows accessing Pinot via its SQL API. Current supported Pinot version: 1.1.0. Usage Using the DB API to query Pinot Broker directly: from pinotdb import connect conn = connect(host='localhost', port=8000, path='/query/sql', scheme='http') curs = conn.cursor() curs.execute(""" SELECT place, CAST(REGEXP_EXTRACT(place, '(.*),', 1) AS FLOAT) AS lat,       CAST(REGEXP_EXTRACT(place, ',(.*)', 1) AS FLOAT) AS lon FROM places LIMIT 10 """) for row in curs: print(row) For HTTPS: from pinotdb import connect conn = connect(host='localhost', port=443, path='/query/sql', scheme='https') curs = conn.cursor() curs.execute(""" SELECT place, CAST(REGEXP_EXTRACT(place, '(.*),', 1) AS FLOAT) AS lat,       CAST(REGEXP_EXTRACT(place, ',(.*)', 1) AS FLOAT) AS lon FROM places LIMIT 10 ""

python3-pip-9.0.1-1.lbn19.noarch

Pip is a replacement for `easy_install <http://peak.telecommunity.com/DevCenter/EasyInstall>`_. It uses mostly the same techniques for finding packages, so packages that were made easy_installable should be pip-installable as well.

python3-pip-20.0.2-3.lbn25.noarch

pip is a package management system used to install and manage software packages written in Python. Many packages can be found in the Python Package Index (PyPI). pip is a recursive acronym that can stand for either "Pip Installs Packages" or "Pip Installs Python".

python3-pip-25.0.1-1.lbn36.noarch

pip is the package installer for Python. You can use pip to install packages from the Python Package Index and other indexes. Please take a look at our documentation for how to install and use pip: Installation Usage We release updates regularly, with a new version every 3 months. Find more details in our documentation: Release notes Release process If you find bugs, need help, or want to talk to the developers, please use our mailing lists or chat rooms: Issue tracking Discourse channel User IRC If you want to get involved head over to GitHub to get the source code, look at our development documentation and feel free to jump on the developer mailing lists and chat rooms: GitHub page Development documentation Development IRC Code of Conduct Everyone interacting in the pip project’s codebases, issue trackers, chat rooms, and mailing lists is expected to follow the PSF Code of Conduct.