Django QuerySet Optimization Tutorial (2026): Master Selecting Specific Columns & Aggregate Function

Опубликовано: 18 Май 2026
на канале: Mr.Anonymous Coder
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Django QuerySet Optimization Tutorial (2026): Master Selecting Specific Columns & Aggregate Function #django #python #databaseoptimization #djangoorm #coding


Stop fetching unnecessary data! 🛑 In this deep-dive Django tutorial, you will learn how to optimize your database queries by selecting only the columns you need and performing complex calculations directly in the database.

🔹 1. Selecting Specific Columns (3 Ways): We break down the pros and cons of each method to help you choose the right one for your template logic:

values_list(): Returns data as tuples. Best for simple iterations.

values(): Returns data as dictionaries. Recommended for readability and flexibility in HTML templates.

only(): Returns model instances but lazy-loads only specific fields. Perfect for object-oriented logic.

🔹 2. Aggregate Functions: Learn how to use django.db.models to perform math on your data without writing Python loops. We cover:

Calculating Average (Avg), Maximum (Max), and Minimum (Min) salaries.

Getting the Sum of values and total Count of records.

🔹 3. CRUD & Bulk Operations: Master the Django Shell (py manage.py shell) for efficient data management:

Create: save(), create(), and the high-speed bulk_create() for multiple records.

Delete: Learn how to safely delete single records using get() and multiple records using filter().



Whether you are building a dashboard or a high-traffic app, these optimization techniques are essential for every Django developer in 2026.







Django select only specific columns
Django QuerySet values vs values_list
Django only() vs defer()
Django aggregate functions tutorial
Django Avg Max Min Sum Count
Django bulk_create example
Django delete multiple records
Python Django ORM optimization
Django shell CRUD operations
Django values_list in template


#django #python #webdevelopment #djangoorm #database #codingtutorial #BackendPerformance #softwareengineering #pythondjango #SQLtoDjango