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The most pythonic ORM. Seriously, try it out!
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The most pythonic ORM. Seriously, try it out!
pip install sqllex
| Version | Status | Tests, and actions |
|---|---|---|
>=0.3.0 |
✔️ Supported ✔️ Stable |
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<=0.2.3 |
||
<=0.2.0.4 |
❌️ Security issue CVE-2022-0329 |
❌️ |
| Databases | Support |
|---|---|
| SQLite | ✔️ |
| PostgreSQL | ✔️* |
* - partially support
Use databases without thinking about SQL.
Interact with a database as python object by intuitive methods
just like .insert(), .select() or .find().
Let me show you how sqllex ORM makes your life easier. Imagine you need create some database, save some data into this and take it back. That's how your easy to code it with sqllex.
from sqllex import * db = SQLite3x( path='my_database.db', template={ "users": { "username": [TEXT, NOT_NULL], "age": INTEGER, } } ) users = db["users"] users.insert('Sqllex', 33) users_33 = users.find(age=33) print(users_33) # [('Sqllex', 33)]
WHAT IS GOING ON THERE?!
from sqllex import * # Create some database, with simple structure db = SQLite3x( # create database path='my_data.db', # path to your database, or where you would like it locate template={ # schema for tables inside your database "users": { # name for the 1'st table "username": [TEXT, NOT_NULL], # 1'st column of table, named "username", contains text-data, can't be NULL "age": INTEGER, # 2'nd column of table, named "age", contains integer value } # end of table } # end of schema (template) ) # Ok, now you have database with table inside it. # Let's take this table as variable users = db["users"] # Now add record of 33 years old user named 'Sqllex' into it # Dear table, please insert ['Sqllex', 33] values users.insert('Sqllex', 33) # Dear table, please find records where_ column 'age' == 33 users_33 = users.find(age=33) # Print results print(users_33) # [('Sqllex', 33)]
| DMS | Example |
|---|---|
| SQLite3 | "Zero level" (v0.2+) |
| SQLite3 | "Pre-Intermediate" (v0.2+) |
| SQLite3 | Data Science (v0.1.8.4) |
| SQLite3 | Project Showcase |
| PostgreSQL | - |