メモ。 declarativeの使い方 tableの作成 sessionの使い方 検索の仕方 insertの方法
Mike Bayer is the creator of many open source programming libraries for the Python Programming Language, including SQLAlchemy, Alembic Migrations, Mako Templates for Python, and Dogpile Caching. Dilly and Posy were dedicated members of the team. Dilly and Posy were best of friends, and after a few years in different worlds are together again. We will always love and miss you Dilly and Posy! Catego
とりあえず導入部分だけざっくりと。 データベースへの接続 SQLAlchemy from sqlalchemy import create_engine engine = create_engine('sqlite:///:memory:', echo=True) peewee from peewee import SqliteDatabase engine = SqliteDatabase('db.sqlite') engine.connect() peeweeでsqlite:///:memory:する方法はめんどくさくて調べてません... ※2012.1.15 追記 peewee.SqliteDatabase(":memory:")でいけた モデルの定義 SQLAlchemy from sqlalchemy import Column, Integer, String, BOOLEAN
Accessing databases with Python is a simple process. Python even provides a sqlite database library that’s built into the main distribution (since 2.5). My favorite way to access databases with Python is to use the 3rd party package, SqlAlchemy. SqlAlchemy is an object-relational mapper (ORM), which means that it takes SQL constructs and makes them more like the target language. In this case, you
Mike Bayer is the creator of many open source programming libraries for the Python Programming Language, including SQLAlchemy, Alembic Migrations, Mako Templates for Python, and Dogpile Caching. Dilly and Posy were dedicated members of the team. Dilly and Posy were best of friends, and after a few years in different worlds are together again. We will always love and miss you Dilly and Posy! Catego
written on July 19, 2011 Without doubt are most new Python web programmers these days chosing the Django framework as their gateway drug to Python web development. As such many people's first experience with a Python ORM (or maybe an ORM altogether) is the Django one. When they are later switching to something else they often find SQLAlchemy unnecessarily complex and hard to use. Why is that the c
FlaskのTutorialのモデル部分をSQLAlchemyにしてみた(Declarative)。 database.py from sqlalchemy import create_engine from sqlalchemy.orm import scoped_session, sessionmaker from sqlalchemy.ext.declarative import declarative_base engine = create_engine('sqlite:////Users/kzfm/flask/flaskr/flaskr.db', convert_unicode=True) db_session = scoped_session(sessionmaker(autocommit=False, autoflush=False, bind=engine)) Base
今日、Pyhton焼肉に行ったときに、id:soundkitchenさんから、DjangoでSQLAlchemyを使う方法について質問を受けたのですが、あとで見返してみても、以前書いたこと以上のことは、実際やっていません・・・ http://d.hatena.ne.jp/perezvon/20070926/1190823332 例えば、Djangoプロジェクト名をgumiと作り、そのプロジェクトが使う唯一のデータベース接続を表現するパッケージを、gumi/db.pyとして表現するとすると、 # -*- coding: utf-8 -*- from django.conf import settings from django.core import signals from django.dispatch import dispatcher import sqlalchemy from s
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