GTx: Computing in Python II: Control Structures

GTx: Computing in Python II: Control Structures

by The Georgia Institute of Technology

Control Structures in Python Course

Course Description

Dive deep into the heart of Python programming with this comprehensive course on Control Structures in Python. This course builds upon your foundational knowledge of variables and operators, taking you on an exciting journey through the core elements of programming logic. Over five chapters, you'll explore the power of control structures, learning how to create dynamic, responsive, and intelligent programs.

From mastering conditionals that allow your code to make decisions, to harnessing the repetitive power of loops, to creating reusable code with functions, and finally to implementing robust error handling - this course covers it all. By the end, you'll be equipped to write complex, practical Python programs that can perform tasks ranging from planetary weight calculations to password validation.

The course is structured for optimal learning, featuring short, digestible video lessons interspersed with hands-on coding exercises and multiple-choice questions. This interactive approach ensures you're not just watching, but actively engaging with the material, solidifying your understanding every step of the way.

What You'll Learn

  • The fundamental concept of control structures and their role in programming
  • How to use conditionals (if, else-if, else) for complex decision-making in code
  • Implementation of various types of loops (for, for-each, while) for repeated tasks
  • Creation and utilization of functions to write more efficient, reusable code
  • Techniques for anticipating and handling errors in your programs
  • Application of these concepts to solve real-world problems and create useful programs

Prerequisites

  • Completion of CS1301xI or equivalent knowledge of basic Python programming
  • Familiarity with variables and operators in Python
  • While not strictly necessary, some experience with algebra, geometry, pre-calculus, and trigonometry may be beneficial for certain problems

Course Content

  • Chapter 1: Introduction to Control Structures
  • Chapter 2: Conditionals (if, else-if, else statements)
  • Chapter 3: Loops (for loops, for-each loops, while loops)
  • Chapter 4: Functions (defining, calling, input parameters, return values)
  • Chapter 5: Error Handling (anticipating and resolving errors)

Who This Course Is For

This course is ideal for aspiring programmers who have a basic understanding of Python and are ready to take their skills to the next level. It's perfect for students, professionals looking to upskill, or anyone interested in learning how to create more complex and practical Python programs.

Real-World Applications

The skills learned in this course have wide-ranging applications in the real world. Students will be able to:

  • Develop programs that make decisions based on user input or data analysis
  • Create efficient algorithms for data processing and analysis
  • Build reusable code libraries for various applications
  • Design robust programs that can handle unexpected situations
  • Solve complex problems in fields like finance, science, and engineering using Python

Syllabus

Chapter 1: Control Structures

Introduction to the concept and importance of control structures in programming

Chapter 2: Conditionals

If, else-if, and else statements
Complex decision-making in code
Practical applications like weather recommendations and grade calculations

Chapter 3: Loops

For loops and their applications
For-each loops for iterating over collections
While loops for condition-based repetition
Solving repetitive tasks efficiently

Chapter 4: Functions

Defining and calling functions
Input parameters and return values
Encapsulating code for reusability and organization

Chapter 5: Error Handling

Anticipating potential errors in code
Implementing try-except blocks
Graceful error recovery and program stability

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