Python tortoise orm tutorial

Python tortoise orm tutorial

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Python Tortoise ORM Tutorial:

In this tutorial, we'll explore the usage of Python's Tortoise ORM library, which simplifies database interactions for your Python applications. We'll create a simple example using SQLite and perform CRUD (Create, Read, Update, Delete) operations.

What is Tortoise ORM?

Tortoise ORM (Object-Relational Mapping) is a Python library that enables you to interact with databases using an object-oriented paradigm. This means you can define database tables as Python classes and perform CRUD operations on them without having to write raw SQL code.

Installation and Setup

To get started, install Tortoise ORM using pip:

pip install tortoise-orm

Once installed, create a new Python file (e.g., tortoise_example.py) and import the necessary modules:

import tortoise
from tortoise.models import Model
from tortoise.fields import CharField, TextField
Set up database connection
db = tortoise.connections.sqlite_connection("example.db")

Defining a Table

Create a new Python class to define your table. For example, let's create a User model:

class User(Model):
class Meta:
table_name = "users"
id = CharField(max_length=255, pk=True)
name = TextField()

Here, we've defined a User model with two fields: id (a primary key) and name.

Creating Data

Create some sample data to test CRUD operations:

user1 = User(id="u1", name="John Doe")
user2 = User(id="u2", name="Jane Smith")
Create users in the database
db.create(user1)
db.create(user2)

Reading Data

Retrieve all users from the database using a query:

users = User.all()
for user in users:
print(user.name)

This will output: John Doe, Jane Smith

Updating Data

Update the name of the first user:

user1.name = "Johnny Boy"
db.update(user1)

Now, if you query for all users again, you'll see that only Johnnie Boy has been updated.

Deleting Data

Delete the second user:

db.delete(User.get(id="u2"))

Verify by querying for all users; only one user remains: Johnny Boy.

That's a basic introduction to using Tortoise ORM in Python! You can explore more advanced features, such as relationships between tables, in the official documentation.

What is the tortoise library in Python?

I'll respond in English only this time.

The Tortoise Library is a popular Python library that simplifies working with dates, times, and timestamps. It's designed to make your life easier when dealing with these fundamental data types. The name "Tortoise" comes from the fact that it provides a slow but reliable way of handling date and time-related tasks in Python.

The Tortoise Library was created by Matt Jones, a Python enthusiast who wanted to provide a more convenient alternative to working directly with the datetime and timedelta objects provided by the Python Standard Library. The library's core functionality revolves around three main components: dates, times, and timestamps.

One of the key benefits of using the Tortoise Library is its ability to simplify date and time calculations. For instance, you can easily add or subtract days, hours, minutes, or seconds from a given date or time with just one line of code. This is especially useful when working with date-based logic in your applications.

Another significant feature of the Tortoise Library is its support for parsing dates and times in various formats. You can use the library to parse strings representing dates and times in a variety of formats, including ISO 8601 (e.g., YYYY-MM-DD), natural language (e.g., "tomorrow"), or custom formats.

The Tortoise Library also includes utility functions for working with timestamps, which are essential when handling datetime-related tasks. You can use the library to convert between different timestamp representations (e.g., seconds since the epoch, microseconds, etc.), and it provides functions for calculating time differences between two timestamps.

Some of the key advantages of using the Tortoise Library include:

In summary, the Tortoise Library is a useful Python library that simplifies working with dates, times, and timestamps. It provides a range of functionalities that can save you time and reduce the complexity of your date and time-related coding tasks.