Tutorialshore

In Python, read(), readline(), and readlines() are methods of a file object that allow you to read data from a file, but they work in slightly different ways:

1. read()

• Functionality: Reads the entire content of a file as a single string.
• Use Case: Use it when you want to read the whole file at once.
• Example: with open('example.txt', 'r') as file: content = file.read() print(content)
• Note: Be cautious when working with large files, as it loads the entire file into memory.

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2. readline()

• Functionality: Reads the next line from the file (up to and including the newline character).
• Use Case: Use it when you want to read a file line by line interactively.
• Example: with open('example.txt', 'r') as file: line = file.readline() while line: print(line, end='') # Print each line without adding extra newline line = file.readline()
• Note: If the file ends, readline() returns an empty string ('').

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3. readlines()

• Functionality: Reads all lines from the file and returns them as a list of strings, where each string is a line.
• Use Case: Use it when you want to process all lines of a file but as a list.
• Example: with open('example.txt', 'r') as file: lines = file.readlines() for line in lines: print(line, end='') # Print each line without adding extra newline
• Note: This also reads the entire file into memory, similar to read().

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Summary of Differences:

Method	Reads	Returns	Use Case
read()	Entire file	String	When you need the whole file content.
readline()	One line at a time	String	When you want to process lines interactively.
readlines()	Entire file	List of strings	When you want all lines but as a list.

For large files, it’s better to use readline() or iterate over the file object directly (e.g., for line in file:) to avoid memory issues.

Raising and Handling Custom Exceptions in Python

Python allows you to define and use custom exceptions by subclassing the built-in Exception class. This is useful when you want to create meaningful, domain-specific error types in your program.

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1. Raising a Custom Exception

To raise a custom exception:

1. Define a new exception class by inheriting from the Exception class (or any subclass of Exception).
2. Use the raise keyword to trigger the exception.

Example:

# Define a custom exception
class CustomError(Exception):
    pass

# Raise the custom exception
def risky_function():
    raise CustomError("This is a custom exception!")

# Call the function
try:
    risky_function()
except CustomError as e:
    print(f"Caught an error: {e}")

Output:

Caught an error: This is a custom exception!

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2. Adding Additional Attributes

Custom exceptions can include attributes and methods to provide more context about the error.

Example:

class ValidationError(Exception):
    def __init__(self, message, code):
        super().__init__(message)
        self.code = code

try:
    raise ValidationError("Invalid input", 400)
except ValidationError as e:
    print(f"Error: {e}, Code: {e.code}")

Output:

Error: Invalid input, Code: 400

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3. Handling Custom Exceptions

You handle custom exceptions just like any other exception using try-except.

Example:

class NegativeValueError(Exception):
    pass

def check_positive(value):
    if value < 0:
        raise NegativeValueError("Negative values are not allowed!")

try:
    check_positive(-5)
except NegativeValueError as e:
    print(f"Error: {e}")

Output:

Error: Negative values are not allowed!

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4. Custom Hierarchies of Exceptions

You can define a hierarchy of exceptions for better organization.

Example:

class AppError(Exception):
    """Base class for all application-related errors."""
    pass

class DatabaseError(AppError):
    pass

class NetworkError(AppError):
    pass

try:
    raise DatabaseError("Database connection failed!")
except DatabaseError as e:
    print(f"Database error: {e}")
except NetworkError as e:
    print(f"Network error: {e}")
except AppError as e:
    print(f"General app error: {e}")

Output:

Database error: Database connection failed!

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5. Combining Custom Exceptions with Standard Exceptions

You can handle custom and standard exceptions together.

Example:

class CustomError(Exception):
    pass

try:
    x = int("abc")  # Raises a ValueError
    raise CustomError("Custom error occurred")
except ValueError as e:
    print(f"Value error: {e}")
except CustomError as e:
    print(f"Custom error: {e}")

Output:

Value error: invalid literal for int() with base 10: 'abc'

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Best Practices

1. Use meaningful names for custom exceptions to make them self-explanatory.
2. Add relevant attributes to pass additional error details.
3. Group related exceptions under a common base class for better organization.
4. Always use try-except to gracefully handle your custom exceptions in the program.

By using custom exceptions effectively, you can improve the readability, maintainability, and robustness of your code.