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Paper 1 – Theory (Typically 2 hours)
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Introduction Paper 2 – Practical (Typically 2 hours) done
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Problem Solving
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Relation of Real Life and Programming done
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Stages of Programming
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Dealing with Constructs
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Question Set 3
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Flow charts – The easy concept
Concept of Validations
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Question Set 4
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Dealing with 1D Arrays
Dealing with 2D Arrays
Linear search with !D Array – The common pattren
Bubble Sort – The common Pattren
Modular Programming – Concept of Procedures and Functions
Handling Errors in Pseudocode
File Handling
File handling – with 1D Array
Logic Gates
Databases
A length check is a data validation method that ensures the data entered into a field adheres to a specified length. This is crucial for maintaining data integrity, ensuring uniformity, and preventing errors during data processing. Length checks are commonly used in fields such as user input forms, database entries, and system constraints.
For instance, consider an online form that requires a user to create a password. A length check might enforce a rule that the password must be between 8 and 16 characters long. This ensures the password is both secure and manageable within system constraints.
Here’s an example in Python:
def length_check(field_value, min_length, max_length):
if min_length <= len(field_value) <= max_length:
return True
else:
return False
# Example usage
password = “securePa55”
if length_check(password, 8, 16):
print(“Password length is valid.”)
else:
print(“Password length is invalid.”)
In this example, the length_check
function verifies that the length of the provided field_value
falls within the specified min_length
and max_length
. The function returns True
if the length is within the acceptable range, and False
otherwise. When applied to the password
variable, the length check ensures that the password meets the predefined criteria, enhancing both security and usability. This type of validation helps in enforcing constraints that are critical for the proper functioning and security of applications and systems.