In Django Session 28, we dive deep into Django ORM conditional queries using the filter() method.
This session focuses on fetching data based on conditions instead of writing raw SQL queries.
You will clearly understand how Django ORM converts conditions into database queries and how to work efficiently with QuerySets.
🔹 Topics Covered in This Session
✅ What is filter() in Django ORM
Purpose of filter()
Difference between all(), get() and filter()
filter() always returns a QuerySet
Why filter() never throws exceptions
🔍 Filtering Data Based on Conditions
🔹 String-Based Lookups
Filter students whose name starts with a letter
(startswith)
Filter students whose name ends with a letter
(endswith)
Filter employees whose name contains specific characters
(contains)
Case-sensitive behavior explained
Examples Covered
Names starting with R
Names ending with A / y
Names containing “oo” (Pooja, Poonam)
🔹 Numeric-Based Lookups
Filter employees whose salary is less than a value
Filter employees whose salary lies between a range
Understanding numeric field filtering
🧪 Working with Faker Module
Why fake data is needed during development
Installing and using the faker module
Generating fake:
Names
Emails
Phone numbers
Job positions
Salary
Date of joining
Saving fake records into the database using Django ORM
🖥️ Live Django Shell Demonstration
Using filter() in Django shell
Counting filtered records using .count()
Checking data availability using .exists()
Understanding common mistakes:
exist() vs exists()
Typo errors like filte()
🧠 Key Learning Outcomes
How Django ORM handles conditional queries
Proper usage of ORM lookups
QuerySet behavior in real-time
Best practices while querying data
📌 Concept Type: Django ORM
📌 Session Focus: filter() method & lookups
📌 Level: Beginner to Intermediate
📌 Use Case: Real-world data filtering without SQL
This session builds a strong foundation for:
Advanced ORM queries
Search & filter features
Dashboard data handling
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