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11th computer science debug the errors public exam 2024

Download 1M+ code from https://codegive.com/bc344b5 debugging is a crucial skill in computer science that helps identify and fix errors in code. in the context of an 11th-grade computer science public exam, it's important to understand common types of errors and how to debug them effectively. here’s a step-by-step guide with examples to help you prepare for your exam. types of errors 1. **syntax errors**: these occur when the code violates the rules of the programming language. example: missing a semicolon or parentheses. ```python syntax error example print("hello world" missing closing parenthesis ``` **fix**: ```python print("hello world") corrected ``` 2. **runtime errors**: these occur while the program is running, often due to illegal operations, such as division by zero. example: ```python runtime error example a = 10 b = 0 result = a / b division by zero ``` **fix**: ```python adding a check to prevent division by zero if b != 0: result = a / b else: print("error: division by zero") ``` 3. **logical errors**: these occur when the program runs without crashing but produces incorrect results due to flawed logic. example: ```python logical error example def add_numbers(a, b): return a - b wrong operation print(add_numbers(5, 3)) expected 8, but returns 2 ``` **fix**: ```python def add_numbers(a, b): return a + b corrected print(add_numbers(5, 3)) now returns 8 ``` debugging techniques 1. **print statements**: use print statements to display variable values at various points in the program to understand how data changes. ```python x = 10 y = 5 print("before addition:", x, y) result = x + y print("after addition:", result) ``` 2. **using a debugger**: most integrated development environments (ides) come with built-in debuggers that allow you to set breakpoints, step through code, and inspect variables. ... #11thGradeComputerScience #DebuggingErrors #PublicExam2024 11th computer science debug errors public exam 2024 programming concepts error handling test cases code optimization algorithm debugging exam preparation software development troubleshooting techniques coding practices data structures syntax errors logical errors

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