Skip to main content

A simple and easy-to-use library to manage SQLite databases.

Project description

AMdata

A Simple Tool for SQLite Databases

This library was created by Amjad to simplify common database operations such as creating, inserting, and selecting data. It is designed to be intuitive and easy to use for all programmers.

Note on Contributions: All changes and modifications to this library must be clearly documented in the source code files and a change log. The original creator, Amjad, and the tool's name, AMdata, must be explicitly and clearly mentioned in any derivative work.


Installation

You can install the library easily using pip:

pip install amdata


Usage
1. Connecting to the database and creating a table

from amdata.db import DB

# Connect to a database file named 'my_app.db'
# If the file does not exist, it will be created automatically.
db = DB('my_app.db')

# Create a table named 'users' with two columns: 'username' and 'password'
db.create_table('users', username='TEXT', password='TEXT')

2. Inserting data

# Insert a new user record
db.insert('users', username='amjad', password='1234')

# Note: The check_duplicate method is integrated.
# This will prevent adding a duplicate username.

db.insert('users', username='amjad', password='5678')


3. Updating and Deleting data

# Update the password for user 'amjad'
db.update('users', "username = 'amjad'", password='5678')

# Delete a user record
db.delete('users', "username = 'amjad'")


4. Retrieving data


# Select all data from the 'users' table
all_users = db.select('users')
print(all_users)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

amdata-0.1.2.tar.gz (7.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

amdata-0.1.2-py3-none-any.whl (7.5 kB view details)

Uploaded Python 3

File details

Details for the file amdata-0.1.2.tar.gz.

File metadata

  • Download URL: amdata-0.1.2.tar.gz
  • Upload date:
  • Size: 7.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.11

File hashes

Hashes for amdata-0.1.2.tar.gz
Algorithm Hash digest
SHA256 932abc6cf568c3e437ed29385eb289ed4307dcbacb0fa8b6c25cf895cc443c6d
MD5 f68d75f4c0a44eab04ec86eb3b08aa02
BLAKE2b-256 2598f795575d386a032dd6533a9711eac02f5c4f00eae022545b732ca20dd16c

See more details on using hashes here.

File details

Details for the file amdata-0.1.2-py3-none-any.whl.

File metadata

  • Download URL: amdata-0.1.2-py3-none-any.whl
  • Upload date:
  • Size: 7.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.11

File hashes

Hashes for amdata-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 17c4d9372075f16d55cba4776568bf4f9255555c65066298d19093db0bf14800
MD5 36d6133622a6bccc76928e2eb3b4272e
BLAKE2b-256 9b5393edb4ec95ca2b9925a4dbd796625aad27e7ed89e7179fbcb105e76b621f

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page