A wrapper for SQLite and MySQL, Most of the queries wrapped into commands for ease.

Overview

Before you proceed, make sure you know Some real SQL, before looking at the code, otherwise you probably won't understand anything.

Installation

pip install EasierSQL

EasySQLite code examples -:

import EasierSQLite

database = EasierSQLite.easierSQLite("dataBaseName")

# Creating a table

created_Table = database.create_Table('table_Name','userName TEXT NOT NULL, userID INT PRIMARY KEY')
"""
The second argument is where you write the Column names, their Datatypes and constraints!
Also there is an optional third argument called 'check_if_exists' by default it is True.
"""

print(created_Table) # Returns the result.

# Inserting values into a table.

insert = database.insert_values('table_Name','columns_names','values_here')

print(insert) # Returns the result.

# Getting values from a table

selected_value = database.select_values('table_Name', columnNames='column_Names',limit='1000',clauses='here')
"""
Most of the arguemnts here, have default values for example,
If you leave columnNames blank it will get all the values from the rows by default. 
If you leave limit blank, it will get 100 rows max from the table by default.

In the clauses argument you can add your where clause, cases etc. If left none it won't affect anything.
"""

print(selected_value) # Returns the list of values (or an error).

To compensate for no documentation at the moment, here are all the functions.

database.create_Table()
database.select_values()
database.insert_values()
database.delete_table()
database.create_new_column()
database.delete_row()
database.rename_Table()
database.rename_Column()
database.attach_database()
database.detach_database()
database.execute_custom_query() # Returns the database, so you can execute Your own query, if the module doesn't support that type.

Example of execute_custom_query()

import EasierSQLite

database = EasierSQLite.easierSQLite("dataBaseName")

tempDB = database.execute_custom_query()
cursor = tempDB.cursor()

cursor.execute("SQL_QUERY")

# tempDB.commit() COMMIT IF NECESSARY

tempDB.close() # Close database after done with it for good practice.

EasyMySQL Code example -:

import EasierMySQL

database = EasierMySQL.easierMySQL(
    userName = 'userNAME',
    passwrd = 'password',
    host = 'host'
    database = 'database'
)

# Creating a table

created_Table = database.create_Table('table_Name','userName VARCHAR(20) NOT NULL, userID INT PRIMARY KEY')

print(created_Table) # Returns the result.

# Inserting values into a table.

insert = database.insert_values('table_Name','columns_names','values_here')

print(insert) # Returns the result.

# Getting values from a table

selected_value = database.select_values('table_Name', columnNames='column_Names',limit='1000',clauses='here')

print(selected_value) # Returns the list of values (or an error).

Here are all the functions but for EasierMYSQL.

database.create_Table()
database.select_values()
database.insert_values()
database.delete_table()
database.create_new_column()
database.delete_row()
database.rename_Table()
database.rename_Column()
database.attach_database()
database.detach_database()
database.delete_column()
database.show_tables()
database.execute_custom_query() # Returns the database, so you can execute Your own query, if the module doesn't support that type.

The execute_custom_query is as same as the One in EasierSQLLite.

You might also like...
Databank is an easy-to-use Python library for making raw SQL queries in a multi-threaded environment.

Databank Databank is an easy-to-use Python library for making raw SQL queries in a multi-threaded environment. No ORM, no frills. Thread-safe. Only ra

Implementing basic MongoDB CRUD (Create, Read, Update, Delete) queries, using Python.
Implementing basic MongoDB CRUD (Create, Read, Update, Delete) queries, using Python.

MongoDB with Python Implementing basic MongoDB CRUD (Create, Read, Update, Delete) queries, using Python. We can connect to a MongoDB database hosted

An extension package of 🤗 Datasets that provides support for executing arbitrary SQL queries on HF datasets

datasets_sql A 🤗 Datasets extension package that provides support for executing arbitrary SQL queries on HF datasets. It uses DuckDB as a SQL engine

Python PostgreSQL adapter to stream results of multi-statement queries without a server-side cursor

streampq Stream results of multi-statement PostgreSQL queries from Python without server-side cursors. Has benefits over some other Python PostgreSQL

MySQL database connector for Python (with Python 3 support)

mysqlclient This project is a fork of MySQLdb1. This project adds Python 3 support and fixed many bugs. PyPI: https://pypi.org/project/mysqlclient/ Gi

Pure Python MySQL Client

PyMySQL Table of Contents Requirements Installation Documentation Example Resources License This package contains a pure-Python MySQL client library,

aiomysql is a library for accessing a MySQL database from the asyncio

aiomysql aiomysql is a "driver" for accessing a MySQL database from the asyncio (PEP-3156/tulip) framework. It depends on and reuses most parts of PyM

MySQL database connector for Python (with Python 3 support)

mysqlclient This project is a fork of MySQLdb1. This project adds Python 3 support and fixed many bugs. PyPI: https://pypi.org/project/mysqlclient/ Gi

MySQL Operator for Kubernetes

MySQL Operator for Kubernetes The MYSQL Operator for Kubernetes is an Operator for Kubernetes managing MySQL InnoDB Cluster setups inside a Kubernetes

Releases(0.1.2)
Owner
Refined
Game Developer and App Developer.
Refined
Baserow is an open source no-code database tool and Airtable alternative

Baserow is an open source no-code database tool and Airtable alternative

1.3k Jan 01, 2023
Create a database, insert data and easily select it with Sqlite

sqliteBasics create a database, insert data and easily select it with Sqlite Watch on YouTube a step by step tutorial explaining this code: https://yo

Mariya 27 Dec 27, 2022
A Python DB-API and SQLAlchemy dialect to Google Spreasheets

Note: shillelagh is a drop-in replacement for gsheets-db-api, with many additional features. You should use it instead. If you're using SQLAlchemy all

Beto Dealmeida 185 Jan 01, 2023
TileDB-Py is a Python interface to the TileDB Storage Engine.

TileDB-Py TileDB-Py is a Python interface to the TileDB Storage Engine. Quick Links Installation Build Instructions TileDB Documentation Python API re

TileDB, Inc. 149 Nov 28, 2022
PyPika is a python SQL query builder that exposes the full richness of the SQL language using a syntax that reflects the resulting query. PyPika excels at all sorts of SQL queries but is especially useful for data analysis.

PyPika - Python Query Builder Abstract What is PyPika? PyPika is a Python API for building SQL queries. The motivation behind PyPika is to provide a s

KAYAK 1.9k Jan 04, 2023
A Redis client library for Twisted Python

txRedis Asynchronous Redis client for Twisted Python. Install Install via pip. Usage examples can be found in the examples/ directory of this reposito

Dorian Raymer 127 Oct 23, 2022
A selection of SQLite3 databases to practice querying from.

Dummy SQL Databases This is a collection of dummy SQLite3 databases, for learning and practicing SQL querying, generated with the VS Code extension Ge

1 Feb 26, 2022
aiopg is a library for accessing a PostgreSQL database from the asyncio

aiopg aiopg is a library for accessing a PostgreSQL database from the asyncio (PEP-3156/tulip) framework. It wraps asynchronous features of the Psycop

aio-libs 1.3k Jan 03, 2023
aiosql - Simple SQL in Python

aiosql - Simple SQL in Python SQL is code. Write it, version control it, comment it, and run it using files. Writing your SQL code in Python programs

Will Vaughn 1.1k Jan 08, 2023
Records is a very simple, but powerful, library for making raw SQL queries to most relational databases.

Records: SQL for Humansâ„¢ Records is a very simple, but powerful, library for making raw SQL queries to most relational databases. Just write SQL. No b

Kenneth Reitz 6.9k Jan 03, 2023
Sample code to extract data directly from the NetApp AIQUM MySQL Database

This sample code shows how to connect to the AIQUM Database and pull user quota details from it. AIQUM Requirements: 1. AIQUM 9.7 or higher. 2. An

1 Nov 08, 2021
Google Sheets Python API v4

pygsheets - Google Spreadsheets Python API v4 A simple, intuitive library for google sheets which gets your work done. Features: Open, create, delete

Nithin Murali 1.4k Dec 31, 2022
Pystackql - Python wrapper for StackQL

pystackql - Python Library for StackQL Python wrapper for StackQL Usage from pys

StackQL Studios 6 Jul 01, 2022
A database migrations tool for SQLAlchemy.

Alembic is a database migrations tool written by the author of SQLAlchemy. A migrations tool offers the following functionality: Can emit ALTER statem

SQLAlchemy 1.7k Jan 01, 2023
High level Python client for Elasticsearch

Elasticsearch DSL Elasticsearch DSL is a high-level library whose aim is to help with writing and running queries against Elasticsearch. It is built o

elastic 3.6k Jan 03, 2023
A simple Python tool to transfer data from MySQL to SQLite 3.

MySQL to SQLite3 A simple Python tool to transfer data from MySQL to SQLite 3. This is the long overdue complimentary tool to my SQLite3 to MySQL. It

Klemen Tusar 126 Jan 03, 2023
A simple wrapper to make a flat file drop in raplacement for mongodb out of TinyDB

Purpose A simple wrapper to make a drop in replacement for mongodb out of tinydb. This module is an attempt to add an interface familiar to those curr

180 Jan 01, 2023
Lazydata: Scalable data dependencies for Python projects

lazydata: scalable data dependencies lazydata is a minimalist library for including data dependencies into Python projects. Problem: Keeping all data

629 Nov 21, 2022
aioodbc - is a library for accessing a ODBC databases from the asyncio

aioodbc aioodbc is a Python 3.5+ module that makes it possible to access ODBC databases with asyncio. It relies on the awesome pyodbc library and pres

aio-libs 253 Dec 31, 2022
Dinamopy is a python helper library for dynamodb

Dinamopy is a python helper library for dynamodb. You can define your access patterns in a json file and can use dynamic method names to make operations.

Rasim Andıran 2 Jul 18, 2022