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Paper 1 – Theory (Typically 2 hours)
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Introduction Paper 2 – Practical (Typically 2 hours) done
0/2
Problem Solving
0/5
Relation of Real Life and Programming done
0/5
Stages of Programming
0/14
Dealing with Constructs
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Question Set 3
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Flow charts – The easy concept
Concept of Validations
0/6
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 format check is a type of data validation that ensures data is in a specified format before it is processed or stored. This is crucial for maintaining data integrity and consistency, preventing errors, and ensuring compatibility with systems that process the data. Format checks are widely used in various fields, including software development, data entry, and online forms.
For example, consider an online registration form requiring users to enter their email addresses. A format check ensures that the entered email conforms to a standard pattern, typically including an “@” symbol and a domain suffix like “.com” or “.org”. If a user enters “username@domain”, the format check would identify this as invalid since it lacks a top-level domain. Conversely, “[email protected]” would pass the check.
import re
def validate_email(email):
# Regular expression pattern for validating an email address
pattern = r’^[a-zA-Z0-9_.+-]+@[a-zA-Z0-9-]+.[a-zA-Z0-9-.]+$’
if re.match(pattern, email):
return True
else:
return False
# Example usage
email = “[email protected]”
if validate_email(email):
print(“Valid email format.”)
else:
print(“Invalid email format.”)
In this Python example, the validate_email
function uses a regular expression to check if an email address follows the correct format. This method ensures that only properly formatted emails are accepted, enhancing data quality and system reliability.