sqlmodel 0.0.6-1 source package in Ubuntu

Changelog

sqlmodel (0.0.6-1) unstable; urgency=medium

  * New upstream release
  * debian/copyright
    - extrend packaging copyright years

 -- Sandro Tosi <email address hidden>  Tue, 04 Jan 2022 22:10:21 -0500

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Uploaded by:
Sandro Tosi
Uploaded to:
Sid
Original maintainer:
Sandro Tosi
Architectures:
all
Section:
misc
Urgency:
Medium Urgency

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sqlmodel_0.0.6-1.dsc 2.2 KiB 7aeeee4ce3e5eb5c51dc437ef952061584f0fbd4d33a33793127f10bd47c177e
sqlmodel_0.0.6.orig.tar.xz 3.6 MiB e9b7b82a0bd0cd3eef1f2a95c5d1b5575180695908a7767d2977b3a6ad094b4d
sqlmodel_0.0.6-1.debian.tar.xz 3.0 KiB 7c1b2306196e1a3432b03ef8a2019aea81c6c6a6d1e2f3b87529c392c830977a

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python3-sqlmodel: SQL databases in Python, designed for simplicity, compatibility, and robustness

 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.
 .
 SQLModel is designed to simplify interacting with SQL databases in FastAPI
 applications, it was created by the same author.
 .
 It combines SQLAlchemy and Pydantic and tries to simplify the code you write as
 much as possible, allowing you to reduce the code duplication to a minimum, but
 while getting the best developer experience possible.
 .
 SQLModel is, in fact, a thin layer on top of Pydantic and SQLAlchemy, carefully
 designed to be compatible with both.