Python Loops and Looping Techniques: Beginner to Advanced

Overview

Learn how to use the power of for Loops, while Loops, nested loops (and more!) in Python. Build 4 projects, understand how loops work behind the scenes, and practice with coding exercises.

Syllabus

• Introduction to Loops in Python
Understanding iteration and looping concepts
Differences between for and while loops
• For Loops
Syntax and basic usage of for loops
Iterating over lists, tuples, dictionaries, and strings
Using the range() function
• While Loops
Syntax and basic usage of while loops
Condition-based looping
Avoiding infinite loops
• Loop Control Statements
Using break, continue, and pass
Loop else clause
• Nested Loops
Understanding nested loop structures
Use cases for nested loops
Efficiency considerations
• Comprehensions and Advanced Looping Techniques
List comprehensions
Dictionary and set comprehensions
Generator expressions
Utilizing zip(), enumerate(), and other helper functions
• Project 1: Build a Multiplication Table
Using nested loops for table generation
Formatting output
• Project 2: Basic Password Generator
Combining loops with random module
User input and iteration
• Project 3: Simple Inventory Checker
Iterating over data structures
Conditional logic and loops
• Project 4: Simple Maze Solver
Using loops for pathfinding
Recursive solutions with loops
• Behind the Scenes: How Loops Work
Understanding iteration protocols
Performance considerations and time complexity
• Practice and Coding Exercises
Multiple coding challenges to reinforce loop concepts
Interactive loop scenarios for problem-solving
• Conclusion and Next Steps
Summary of learned concepts
Additional resources and continued learning suggestions

Taught by

Estefania Cassingena Navone

Subjects

Programming