🔍 9.1 Problem Solving Process (Steps)
Select a scenario to automatically fill the problem and practice defining the boundaries and planning the solution.
Step 1: Understand the Problem
Step 2: Define Boundaries
Step 3: Plan Solution
📋 9.2 Stepwise Refinement & Structure Charts
Use the selected problem to practice modular design and draw the Structure Chart.
📊 9.3 Algorithmic Approaches
Select an algorithm to view its flowchart steps, pseudocode, and practice the hand trace.
Flowchart Steps
Pseudocode
Hand Tracing (Verification)
👨💻 9.7-9.13 Python Programming Practice (IntelliSense Enabled)
Start typing in the editor below! Use **Ctrl+Space** (or Cmd+Space) for auto-completion suggestions for keywords, functions, and data structure methods.
Learning Templates by Competency:
Code Comparison (9.3 Verification):
Execution Output:
Program output will appear here...
🔄 9.4 Programming Paradigms Comparison
Understand the difference between **Imperative** (how to do it), **Declarative** (what to do), and **Object-Oriented** (data and behavior combined) approaches.
Imperative
# Step-by-step instructions
total = 0
for i in range(1, 6):
total += i
print(total)Declarative (SQL-like)
-- What you want, not how SELECT SUM(value) FROM numbers WHERE value <= 5;
Object-Oriented
class Calculator:
def sum_range(self, n):
return sum(range(1, n+1))
calc = Calculator()
print(calc.sum_range(5))⚙️ 9.5 Program Translation Process
Source Code (Python)
def greet(name):
return f"Hello, {name}"
print(greet("Student"))Compiler vs Interpreter
💻 9.6 IDE Features Demonstration
The Code Editor above demonstrates many core IDE features like Syntax Highlighting and Auto-completion.
📚 Quick Reference Guide
Data Types
int, float, str, bool list, tuple, dict, set
Control Structures
if-elif-else for, while break, continue
Functions
def name(params):
return valueFile Operations
with open(file, mode) as f:
f.read()/f.write()