SQLite Python ...................................................................... 165 Python sqlite3 module APIs ................................................................... 165 Connecting To environment variable and finally go to the command prompt and issue sqlite3 command, which should display a result something as below. C:\>sqlite3 SQLite version 3.7.15.2 2013-01-09 11:53:05 Enter ".help" the following command to check if you already have SQLite installed on your machine or not. $sqlite3 SQLite version 3.7.15.2 2013-01-09 11:53:05 Enter ".help" for instructions Enter SQL statements

n d S Q L i t e C S C 342 - W e b T e c h n ol ogi e s N o d e . j s a n d S Q L i t e T h e sqlite3 l i b r a r y d e fi n e s a n i n t e r f a c e f or a c c e s s i n g S Q L i t e d a t a b a s t i n a p r oj e c t : mkdir myapp cd myapp npm init npm install sqlite3 --save T h e i m p or t i s : let sqlite3 = require('sqlite3'); C o n n e c t i n g t o a S Q L i t e Da t a b a s e T h e A r r or oc u r r s . Ex a m p l e : C o n n e c t t o a S Q L i t e Da t a b a s e let sqlite3 = require('sqlite3'); let db = new sqlite3.Database('./my.db', (err) => { if (err) { console.log('ERROR:

—Portable DBM implementation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 327 11.13 sqlite3 —SQLite 数据库 DB-API 2.0 接口模块 . . . . . . . . . . . . . . . . . . . . . . . . . . 328 12 数据压缩和存档 347 by name 33 >>> p # readable __repr__ with a name=value style Point(x=11, y=22) 命名元组尤其有用于赋值csv sqlite3 模块返回的元组 EmployeeRecord = namedtuple('EmployeeRecord', 'name, age, title, department, paygrade �→') datatypes 173 The Python Library Reference, 发布 2.7.18 (续上页) print emp.name, emp.title import sqlite3 conn = sqlite3.connect('/companydata') cursor = conn.cursor() cursor.execute('SELECT name, age, title

—Portable DBM implementation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 327 11.13 sqlite3 —SQLite 数据库 DB-API 2.0 接口模块 . . . . . . . . . . . . . . . . . . . . . . . . . . 328 12 数据压缩和存档 347 by name 33 >>> p # readable __repr__ with a name=value style Point(x=11, y=22) 命名元组尤其有用于赋值csv sqlite3 模块返回的元组 EmployeeRecord = namedtuple('EmployeeRecord', 'name, age, title, department, paygrade �→') datatypes 173 The Python Library Reference, 发布 2.7.18 (续上页) print emp.name, emp.title import sqlite3 conn = sqlite3.connect('/companydata') cursor = conn.cursor() cursor.execute('SELECT name, age, title

—Portable DBM implementation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 327 11.13 sqlite3 —SQLite 数据库 DB-API 2.0 接口模块 . . . . . . . . . . . . . . . . . . . . . . . . . . 328 12 数据压缩和存档 347 by name 33 >>> p # readable __repr__ with a name=value style Point(x=11, y=22) 命名元组尤其有用于赋值csv sqlite3 模块返回的元组 EmployeeRecord = namedtuple('EmployeeRecord', 'name, age, title, department, paygrade �→') datatypes 173 The Python Library Reference, 发布 2.7.18 (续上页) print emp.name, emp.title import sqlite3 conn = sqlite3.connect('/companydata') cursor = conn.cursor() cursor.execute('SELECT name, age, title

Create, Read, Update, or Delete. CREATE CREATE a database sqlite3 .db This statement starts the sqlite3 program with the database file specified open. If the file doesn’t is created and deleted when the sqlite3 program closes. Note​ this is a SQLite program statement to open the program (different from SQL commands) sqlite3 shelter.db CREATE a table CREATE

data for a pivot table. NOTE: You can export the SQLite database directly by using the sqlite3 command. sqlite3 -csv PureAlohaExperiment.sqlite.sca \ 'select * from scalar' >result2.csv 11 Using spreadsheets to create Pivot Charts 12 Using SQLite Result File from Python Required packages ● Sqlite3 ○ Access SQLite databases ● NumPy/SciPy ○ Numerical scientific computing ● MatPlotLib ○ Comprehensive plotting 13 Using SQLite Result File from Python 2 How to access data from Python. import sqlite3 conn = sqlite3.connect(fileName) conn.row_factory = sqlite3.Row cur = conn.cursor()

since most Python distributions are compiled with SQLite support. You can test by running import sqlite3 in the Python console. If you wish to use another database, there are many DB-API 2.0-compatible com/PyMySQL/PyMySQL/blob/f08f01fe8a59e8acfb5f5add4a8fe874bec2a196/pymysql/co nnections.py#L494-L513] SQLite: sqlite3 [https://docs.python.org/2/library/sqlite3.html#sqlite3.connect] Using Postgresql To connect to :memory: to create an in-memory database. After the database filename, you can specify arbitrary sqlite3 parameters [https://docs.python.org/2/library/sqlite3.html#sqlite3.connect]. sqlite_db = SqliteDatabase('my_app

since most Python distributions are compiled with SQLite support. You can test by running import sqlite3 in the Python console. If you wish to use another database, there are many DB-API 2.0-compatible for the available parameters: • Postgres: psycopg2 • MySQL: MySQLdb • MySQL: pymysql • SQLite: sqlite3 1.6.2 Using Postgresql To connect to a Postgresql database, we will use PostgresqlDatabase. The :memory: to create an in-memory database. After the database filename, you can specify arbitrary sqlite3 parameters. sqlite_db = SqliteDatabase('my_app.db') class BaseModel(Model): """A base model that

org/about.html] database to store users and posts. Python comes with built-in support for SQLite in the sqlite3 [https://docs.python.org/3/library/sqlite3.html#module-sqlite3] module. SQLite is convenient because some point when handling a request, and closed before the response is sent. flaskr/db.py import sqlite3 import click from flask import current_app, g from flask.cli import with_appcontext def get_db(): time it’s called. After the context, the connection should be closed. tests/test_db.py import sqlite3 import pytest from flaskr.db import get_db def test_get_close_db(app): with app.app_context():