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python3-trio-websocket-0.12.2-2.lbn36.noarch: This library implements both server and client aspects of the the WebSocket protocol, striving for safety, correctness, and ergonomics. It is based on the wsproto project, which is a Sans-IO state machine that implements the majority of the WebSocket protocol, including framing, codecs, and events. This library handles I/O using the Trio framework. This library passes the Autobahn Test Suite.

python3-trio-0.30.0-2.lbn36.noarch: The Trio project's goal is to produce a production-quality, permissively licensed, async/await-native I/O library for Python. Like all async libraries, its main purpose is to help you write programs that do multiple things at the same time with parallelized I/O. A web spider that wants to fetch lots of pages in parallel, a web server that needs to juggle lots of downloads and websocket connections at the same time, a process supervisor monitoring multiple subprocesses... that sort of thing. Compared to other libraries, Trio attempts to distinguish itself with an obsessive focus on usability and correctness. Concurrency is complicated; we try to make it easy to get things right.

python3-sqlmodel-slim-0.0.22-1.lbn36.noarch: SQLModel is a library for interacting with SQL databases from Python code, with Python objects. It is designed to be intuitive, easy to use, highly compatible, and robust. SQLModel is based on Python type annotations, and powered by Pydantic and SQLAlchemy. The key features are: • Intuitive to write: Great editor support. Completion everywhere. Less time debugging. Designed to be easy to use and learn. Less time reading docs. • Easy to use: It has sensible defaults and does a lot of work underneath to simplify the code you write. • Compatible: It is designed to be compatible with FastAPI, Pydantic, and SQLAlchemy. • Extensible: You have all the power of SQLAlchemy and Pydantic underneath. • Short: Minimize code duplication. A single type annotation does a lot of work. No need to duplicate models in SQLAlchemy and Pydantic.

python3-sqlmodel-0.0.22-1.lbn36.noarch: SQLModel is a library for interacting with SQL databases from Python code, with Python objects. It is designed to be intuitive, easy to use, highly compatible, and robust. SQLModel is based on Python type annotations, and powered by Pydantic and SQLAlchemy. The key features are: • Intuitive to write: Great editor support. Completion everywhere. Less time debugging. Designed to be easy to use and learn. Less time reading docs. • Easy to use: It has sensible defaults and does a lot of work underneath to simplify the code you write. • Compatible: It is designed to be compatible with FastAPI, Pydantic, and SQLAlchemy. • Extensible: You have all the power of SQLAlchemy and Pydantic underneath. • Short: Minimize code duplication. A single type annotation does a lot of work. No need to duplicate models in SQLAlchemy and Pydantic.

python3-sqlglot-27.0.0-1.lbn36.noarch: ![SQLGlot logo](sqlglot.svg)SQLGlot is a no-dependency SQL parser, transpiler, optimizer, and engine. It can be used to format SQL or translate between [21 different dialects]( like [DuckDB]( [Presto]( / [Trino]( [Spark]( / [Databricks]( [Snowflake]( and [BigQuery]( It aims to read a wide variety of SQL inputs and output syntactically and semantically correct SQL in the targeted dialects.

python3-shillelagh+systemapi-1.3.6-1.lbn36.noarch: This is a metapackage bringing in systemapi extras requires for python3-shillelagh. It makes sure the dependencies are installed.

python3-shillelagh+s3selectapi-1.3.6-1.lbn36.noarch: This is a metapackage bringing in s3selectapi extras requires for python3-shillelagh. It makes sure the dependencies are installed.

python3-shillelagh+pandasmemory-1.3.6-1.lbn36.noarch: This is a metapackage bringing in pandasmemory extras requires for python3-shillelagh. It makes sure the dependencies are installed.

python3-shillelagh+htmltableapi-1.3.6-1.lbn36.noarch: This is a metapackage bringing in htmltableapi extras requires for python3-shillelagh. It makes sure the dependencies are installed.

python3-shillelagh+holidaysmemory-1.3.6-1.lbn36.noarch: This is a metapackage bringing in holidaysmemory extras requires for python3-shillelagh. It makes sure the dependencies are installed.

python3-shillelagh+gsheetsapi-1.3.6-1.lbn36.noarch: This is a metapackage bringing in gsheetsapi extras requires for python3-shillelagh. It makes sure the dependencies are installed.

python3-shillelagh+githubapi-1.3.6-1.lbn36.noarch: This is a metapackage bringing in githubapi extras requires for python3-shillelagh. It makes sure the dependencies are installed.

python3-shillelagh+genericxmlapi-1.3.6-1.lbn36.noarch: This is a metapackage bringing in genericxmlapi extras requires for python3-shillelagh. It makes sure the dependencies are installed.

python3-shillelagh+genericjsonapi-1.3.6-1.lbn36.noarch: This is a metapackage bringing in genericjsonapi extras requires for python3-shillelagh. It makes sure the dependencies are installed.

python3-shillelagh+console-1.3.6-1.lbn36.noarch: This is a metapackage bringing in console extras requires for python3-shillelagh. It makes sure the dependencies are installed.

python3-shillelagh+all-1.3.6-1.lbn36.noarch: This is a metapackage bringing in all extras requires for python3-shillelagh. It makes sure the dependencies are installed.

python3-shillelagh-1.3.6-1.lbn36.noarch: Shillelagh (ʃɪˈleɪlɪ) is a Python library and CLI that allows you to query many resources (APIs, files, in memory objects) using SQL. It's both user and developer friendly, making it trivial to access resources and easy to add support for new ones.

python3-pandas-stubs-1.5.3.230304-1.lbn36.noarch: pandas-stubs: Public type stubs for pandas[![PyPI Latest Release]( [![Conda Latest Release]( [![Package Status]( [![License]( [![Downloads](

python3-pandas+xml-2.2.3-1.lbn36.x86_64: This is a metapackage bringing in xml extras requires for python3-pandas. It makes sure the dependencies are installed.


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