BiteSize Python for Absolute Beginners: Flow Controls
Master Python's control flow with decision-making, loops, and functions. Learn to write efficient code through practical examples for beginners.
Master Python's control flow with decision-making, loops, and functions. Learn to write efficient code through practical examples for beginners.
This course teaches Python control flow mechanisms for beginners, focusing on three essential concepts. First, you'll learn branching with if, if-else, and if-elif-else structures to make decisions based on conditions. Next, you'll master looping with while and for loops to automate repetitive tasks, including loop control mechanisms like break and continue. Finally, you'll explore functions as reusable code blocks, progressing from basic to advanced implementations including parameters, return values, and recursive solutions. Through hands-on labs and real-world case studies, you'll gain practical experience writing organized, efficient code that solves actual problems.
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What you'll learn
Implement conditional statements using if, if-else, and if-elif-else to make decisions based on specific conditions
Write efficient loops with while and for constructs to automate repetitive tasks
Apply loop control mechanisms like break and continue to modify program flow
Create functions with various parameter types and return values for code reusability
Design hierarchical function structures for organized code architecture
Implement recursive functions to solve complex problems elegantly
Skills you'll gain
This course includes:
8 Hours PreRecorded video
4 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This course focuses on Python's control flow mechanisms, providing beginners with essential tools to write organized and efficient code. The curriculum is structured around three fundamental concepts: branching, looping, and functions. Students learn how to implement decision-making logic using if, if-else, and if-elif-else statements to handle different conditions. They master automation techniques with while and for loops, including special control mechanisms like break and continue. The course progresses to functions as higher-level flow control, covering everything from basic parameter handling to advanced topics like nested functions and recursion. Through practical labs and case studies, students apply these concepts to solve real-world problems, gaining hands-on experience that builds confidence and competence in Python programming.
Branching
Module 1 · 3 Hours to complete
Looping
Module 2 · 2 Hours to complete
Basic Functions
Module 3 · 3 Hours to complete
Advanced Functions
Module 4 · 1 Hours to complete
Fee Structure
Instructor
Teaching Assistant Professor
Dr. Di Wu is a Teaching Assistant Professor at the University of Colorado Boulder, specializing in data science and computer science. His primary research interests include temporal databases, the semantic web, knowledge representation, and data science, with a focus on extending the Resource Description Framework (RDF) for temporal dimensions. Before joining CU Boulder, he taught various courses such as algorithms and data structures, programming languages, and database management. Dr. Wu aims to develop an inclusive and engaging pedagogy in data science education over the next five years, emphasizing experiential learning in both in-person and online formats. He is involved in teaching courses related to data science and programming, including specializations in Python programming for data scientists.
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