How to use a database ORM in Python

The video tutorial introduces Object-Relational Mappers (ORMs) and their role in abstracting database access, focusing on the Peewee ORM in Python. It covers setting up an SQLite database, defining tables and models, creating and manipulating records, and querying data using Peewee. The tutorial emphasizes the ease and safety of using ORMs compared to raw SQL, while also highlighting the importance of understanding SQL fundamentals.

What is the primary purpose of using an ORM in programming?

• To directly write SQL queries

• To abstract and simplify database interactions

• To enhance the speed of database transactions

• To replace the need for a database

Which ORM is highlighted in the video for its lightweight and powerful features?

• MongoEngine

• Django ORM

• SQLAlchemy

• Peewee

What is the first step in setting up a database using Peewee?

• Defining the database object

• Creating a table

• Connecting to the internet

• Writing SQL queries

How are fields in a Peewee model defined?

• As SQL strings

• As XML tags

• As class-level variables

• As JSON objects

What must be done after creating a record in Peewee to ensure changes are saved to the database?

• Invoke the save method

• Nothing, changes are saved automatically

• Recreate the schema

• Restart the database

Which method is used in Peewee to select all records from a table?

• table.retrieve()

• table.fetch()

• table.get_all()

• table.select()

What is a key advantage of using Peewee's query syntax?

• It requires no understanding of SQL

• It is similar to SQL, making it easier for those familiar with SQL

• It is completely different from SQL

• It automatically optimizes queries