This course focuses on mastering Python’s control flow mechanisms, including branching, looping, and functions. It covers essential concepts such as making decisions with if, if-else, and if-elif-else structures (branching), automating repetitive tasks using while and for loops (looping), and introduces functions as a higher-level form of flow control. Advanced topics like nested, hierarchical, and recursive functions are also explored, providing learners with tools to write organized, reusable, and efficient code.
BiteSize Python for Absolute Beginners: Flow Controls
BiteSize Python for Absolute Beginners: Flow Controls
This course is part of BiteSize Python for Absolute Beginners Specialization
Instructor: Di Wu
Included with 
Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
11 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Implement if, if-else, and if-elif-else to handle conditions and design branching logic for decision-making problems.
Use while and for loops, apply break and continue, and solve practical problems by automating tasks with loops.
Implement functions with various parameters, return types, and recursion, comparing iterative and recursive solutions for efficiency.
Details to know
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Recently updated!
December 2024
Assessments
4 assignments
Taught in English
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This course is part of the BiteSize Python for Absolute Beginners Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course
This module introduces the concept of branching in Python, allowing programs to make decisions based on conditions. It covers different types of branching, including optional branching using if, alternative branching with if-else, and multi-branching with if-elif-else. Real-life examples will be provided to show how branching can be applied to solve practical problems.
What's included
5 readings1 assignment4 ungraded labs
This module explores looping constructs in Python, focusing on condition-based loops using while and count-based loops using for. It introduces loop control mechanisms like break and continue to modify loop behavior. The module also includes real-life case studies to demonstrate how loops are used to solve repetitive tasks efficiently.
What's included
1 reading1 assignment4 ungraded labs
This module introduces the concept of functions in Python, explaining their importance in organizing and reusing code. It covers different types of functions, from those with no parameters to those with multiple parameters, and explains the distinction between arguments and parameters. Additionally, it explores default values, functions that return values of various types (numeric, string, boolean), and those that return multiple values.
What's included
1 reading1 assignment11 ungraded labs
This module explores advanced function concepts in Python, such as nested functions, hierarchical functions, and recursive functions. It explains how functions can be organized within other functions (nested) and how hierarchical function calls work. It also provides a deep dive into recursion, showing how functions can call themselves to solve complex problems.
What's included
1 reading1 assignment3 ungraded labs
Instructor
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