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Loop Control Statements (break, continue, pass)

Lesson 11/35 | Study Time: 40 Min

Course: Python Essentials Course Online | Start Learning Today

Loops are powerful, but sometimes you need more control over how they behave. What if you want to stop a loop early when a certain condition is met? Or skip one specific iteration without stopping the whole loop?

Python provides three loop control statements — break, continue, and pass that give you precise control over loop execution. They are simple to use but make a significant difference in writing efficient and logical code.

The break Statement

The break statement immediately exits the loop when a specified condition is met, regardless of how many iterations remain. Execution continues with the code that comes after the loop.

Syntax:

Example — Stop when a number is found:

The loop stops completely as soon as num equals 7.

Example — break in a while loop:

Here, break is what prevents the infinite while True loop from running forever.

The continue Statement

The continue statement skips the rest of the current iteration and jumps directly to the next one. Unlike break, it does not stop the loop — it just moves past the current cycle.

Syntax:

Example — Skip even numbers:

Even numbers are skipped; the loop continues with the remaining values.

Example — Skip a specific name:

The pass Statement

The pass statement does nothing, it is a placeholder. Python requires that code blocks cannot be empty, so pass is used when a block is syntactically required but you have no code to put there yet.

Syntax:

Example — Empty loop placeholder:

No output is produced. The loop runs and completes without doing anything.

Example — Placeholder in a condition:

pass is commonly used during development when you are building the structure of your code before filling in the logic.

Practical Example — Combining All Three

1. Even numbers are skipped by continue.

2. Number 5 hits pass and still prints.

3. Loop stops before printing 8 due to break.

Common Mistakes to Avoid

1. Using break when you only want to skip — use continue instead.

2. Forgetting that continue still keeps the loop running.

3. Leaving empty code blocks without pass — Python will raise an IndentationError.

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Class Sessions

1- What is Python and Why It Is Used in AI 2- Overview of Artificial Intelligence and Its Applications 3- Setting Up Your Python Environment 4- Writing and Running Your First Python Program 5- Variables and Data Types 6- Type Casting and Basic Input/Output 7- Operators (Arithmetic, Comparison, Logical) 8- Writing Clean and Readable Code 9- Conditional Statements (if, elif, else) 10- Loops (for, while) 11- Loop Control Statements (break, continue, pass) 12- Basic Problem-Solving Using Control Flow 13- Lists and List Operations 14- Tuples and Their Usage 15- Dictionaries (Key-Value Pairs) 16- Sets and Basic Operations 17- Choosing the Right Data Structure 18- Defining and Calling Functions 19- Parameters and Return Values 20- Lambda (Anonymous) Functions 21- Scope of Variables (Local vs Global) 22- Writing Modular Code 23- Introduction to Python Libraries 24- NumPy Basics (Arrays, Operations) 25- Pandas Basics (DataFrames, Data Handling) 26- Matplotlib Basics (Data Visualization) 27- Installing and Managing Packages (pip / conda) 28- Reading and Writing Files (Text, CSV) 29- Working with Datasets 30- Basic Data Cleaning Techniques 31- Error Handling (try-except) 32- What is Machine Learning (ML) 33- Types of ML (Supervised, Unsupervised) 34- Using Scikit-learn (Basic Example) 35- Simple AI Project Walkthrough (Prediction Model)