Skip to main content

Easy Python database interaction

Project description

easy_db

easy_db is a high-level Python library designed to simplify working with databases. The "DataBase" class handles connecting to various types of databases while providing simple methods for common tasks. The underlying database connection and cursor can be used when more precise control is desired.

Goals

  • Make common database tasks simple and easy
  • Intelligently handle different database types
  • Provide intuitive, consistent, Pythonic methods database interaction
  • Provide good performance without requiring polished query code
  • Expose database connection and cursor to users wanting fine-grained control
  • Just get the data into Python so we can use it!

Quick Start

Let's first connect to a SQLite database.

import easy_db
db = easy_db.DataBase('test_sqlite3_db.db')

Now let's see what tables are available in this database.

tables = db.table_names()

Table columns and types are simple to investigate.

print(db.columns_and_types('example_table'))

Let's pull all of the data from a table. We could start with something like "SELECT * ..." but this is way more fun:

data = db.pull_table('example_table')

Note that the table/query data is returned as a list of dictionaries with column names as dictionary keys.

  • Pro Tip: If desired, a Pandas dataframe of the same form as the database table can be easily created from this data structure using:
import pandas
df = pandas.DataFrame(data)

Now perhaps we have an Access database and would like to pull in a table from our SQLite database. easy_db makes this simple and gracefully handles the nuances of dealing with the different databases.

db = easy_db.DataBase('test_sqlite3_db.db')
db_2 = easy_db.DataBase('test_access_db.accdb')

db_2.copy_table(db, 'example_table')

The DataBase object can be used as a context manager for running custom SQL. The cursor is provided and the connection runs .commit() and .close() implicitly after the "while" block.

with db as cursor:
    cursor.execute('DELETE * FROM example_table;')

Thanks for checking out easy_db, and please take a look at the methods of the DataBase class if you'd like to see what other capabilities are available!

License

MIT

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

easy_db-0.8.3.tar.gz (14.5 kB view details)

Uploaded Source

Built Distribution

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

easy_db-0.8.3-py3-none-any.whl (14.3 kB view details)

Uploaded Python 3

File details

Details for the file easy_db-0.8.3.tar.gz.

File metadata

  • Download URL: easy_db-0.8.3.tar.gz
  • Upload date:
  • Size: 14.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.0

File hashes

Hashes for easy_db-0.8.3.tar.gz
Algorithm Hash digest
SHA256 4223559c8911c67c0ee2df133ac33ebc97a79dd0a4cb471e359e13ef0b3d657c
MD5 ecd22ddad1b2910afe50cc4a5edc8c0e
BLAKE2b-256 ebed0f6cca61638f6e603b61e65111ef8cf43a0362ddb8640aab51a204135efc

See more details on using hashes here.

File details

Details for the file easy_db-0.8.3-py3-none-any.whl.

File metadata

  • Download URL: easy_db-0.8.3-py3-none-any.whl
  • Upload date:
  • Size: 14.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.0

File hashes

Hashes for easy_db-0.8.3-py3-none-any.whl
Algorithm Hash digest
SHA256 2b4050e9ff8afbeea4262b5ed6d2230fa1da5edfb40cec1f1f6da08d1f194f5f
MD5 6f79ca04d535e41425a5f2a52fd3587f
BLAKE2b-256 3f10546058a937c6e9c4d3d8fcb42cca25ff84d42d6e971c787d28b7c1ec193d

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