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How to Use Optional Return in Python Instead of Raising Exceptions
A Python function returns None for missing dictionary keys instead of raising KeyError, enabling graceful lookup handling with type hints.
from typing import Optional
def find_user(users: dict, user_id: int) -> Optional[dict]:
"""
Look up a user by ID. Returns the user dict if found,
otherwise returns None instead of raising KeyError.
"""
return users.get(user_id)
def main() -> None:
users = {
1: {"name": "Alice", "ema…How to Use a Fallback Path with FileNotFoundError in Python
Read a primary file and fall back to a backup file when the first is missing, returning an empty string if both fail.
import pathlib
def read_config(path):
primary = pathlib.Path(path)
fallback = pathlib.Path("config_backup.json")
try:
with primary.open("r") as f:
return f.read()
except FileNotFoundError:
try:
with fallback.open("r") as f:
return f.read()
…How to Use pdb.post_mortem in Python
Automatically enter the Python debugger at the exact point where an uncaught exception occurred, allowing interactive inspection of the crash site.
import pdb
import sys
def divide(a, b):
return a / b
def main():
try:
result = divide(10, 0)
print(f"Result: {result}")
except Exception:
# Enter post-mortem debugging when an uncaught exception occurs
pdb.post_mortem(sys.exc_info()[2])
if __name__ == "__main__":
main…How to Use the breakpoint() Function for Interactive Debugging in Python
Insert a breakpoint() call into your code to drop into an interactive debugger session where you can inspect variables and step through execution.
def calculate_total(prices, discount=0):
"""Calculates total price with optional discount."""
subtotal = sum(prices)
breakpoint() # Interactive debugging session starts here
final_total = subtotal * (1 - discount)
return final_total
if __name__ == "__main__":
items = [25.50, 13.25, 9.99, 5.7…How to Use try except else finally in Python
Demonstrates the correct order of try/except/else/finally blocks in Python with a safe division function.
def safe_divide(numerator, denominator):
try:
result = numerator / denominator
except ZeroDivisionError:
print("Error: Cannot divide by zero!")
except TypeError:
print("Error: Both arguments must be numbers!")
else:
print(f"Division successful: {numerator} / {denominator…How to Validate Input and Raise TypeError in Python
Define a function that checks its argument type and raises a TypeError early with a clear message when given a non-number.
def validate_number(value):
if not isinstance(value, (int, float)):
raise TypeError(f"Expected a number, got {type(value).__name__}")
return value * 2
if __name__ == "__main__":
try:
print(validate_number(5))
print(validate_number("hello"))
except TypeError as e:
print(…How to Validate JSON in Python and Catch JSONDecodeError
A robust Python function that attempts to parse JSON strings and returns a boolean plus either the parsed data or a descriptive error message when decoding fails.
import json
def validate_json(json_string):
"""Try to parse JSON, return (is_valid, data_or_error)."""
try:
data = json.loads(json_string)
return True, data
except json.JSONDecodeError as e:
return False, f"Invalid JSON: {e}"
if __name__ == "__main__":
test_inputs = [
…How to Validate an Email Address and Raise ValueError in Python
This code defines a validate_email function that checks an email address against a regex pattern and several rules, raising ValueError with a specific reason when invalid.
import re
def validate_email(email: str) -> str:
"""Validate an email address and return it if valid, otherwise raise ValueError."""
if not isinstance(email, str):
raise ValueError("Email must be a string")
if len(email) > 254:
raise ValueError("Email length exceeds 254 characters")
#…How to Wrap a Low Level Error in a Higher Level Exception in Python
Wrap low-level exceptions in a higher-level exception while preserving the original cause with the `from` keyword.
class LowLevelError(Exception):
pass
class HighLevelError(Exception):
pass
def low_level_operation():
raise LowLevelError("storage drive failed to respond")
def high_level_operation():
try:
low_level_operation()
except LowLevelError as e:
raise HighLevelError(f"database operation…How to catch ValueError in Python and print a friendly message
This code defines a function that safely converts text to an integer, catches ValueError, and prints a friendly message instead of crashing.
def parse_number(text):
try:
return int(text)
except ValueError:
print("Oops! That's not a valid number.")
return None
if __name__ == "__main__":
result = parse_number("abc")
if result is None:
print("Parsing failed.")
else:
print(f"Parsed value: {result}")How to check for None and raise helpful errors in Python
A defensive function that explicitly validates data, keys, and values — raising descriptive ValueError and KeyError exceptions before returning a result.
def get_value(data, key):
if data is None:
raise ValueError("data cannot be None")
if key not in data:
raise KeyError(f"key '{key}' not found in data")
result = data[key]
if result is None:
raise ValueError(f"value for key '{key}' is None")
return result
if __name__ == "__…How to define an exception hierarchy for domain errors in Python
Create a custom exception hierarchy with a base DomainError class and specific subclasses to handle validation, not-found, permission, and concurrency errors cleanly in Python apps.
class DomainError(Exception):
"""Base class for all domain errors."""
pass
class ValidationError(DomainError):
"""Raised when input data fails validation rules."""
pass
class NotFoundError(DomainError):
"""Raised when a requested entity does not exist."""
pass
class PermissionDeniedError(Dom…How to handle ZeroDivisionError in Python
Wrap a division operation in try/except to return None or a friendly message instead of crashing when dividing by zero.
def safe_divide(a, b):
"""Return a/b if possible, else None when dividing by zero."""
try:
return a / b
except ZeroDivisionError:
return None
def safe_divide_with_message(a, b):
"""Return a how-to message on divide-by-zero error."""
try:
return a / b
except ZeroDivisio…Implement a Context Manager That Suppresses Exceptions in Python
Shows how to write a custom context manager that catches specified exceptions and optionally re-raises others, plus the stdlib contextlib.suppress alternative.
import contextlib
class SuppressExceptions:
def __init__(self, *exceptions):
self.exceptions = exceptions
def __enter__(self):
return self
def __exit__(self, exc_type, exc_val, exc_tb):
if exc_type is None:
return False
if not self.exceptions or exc_type in se…Map Exception Type to HTTP Status Code in Python
Maps Python exception types to appropriate HTTP status codes using a dictionary lookup for consistent API error handling.
EXCEPTION_STATUS_MAP = {
ValueError: 400,
KeyError: 400,
TypeError: 400,
PermissionError: 403,
FileNotFoundError: 404,
AttributeError: 404,
TimeoutError: 408,
NotImplementedError: 501,
ConnectionError: 503,
}
def status_code_for(exception_type):
try:
return EXCEPTION_S…Python dict try-except KeyError EAFP vs LBYL
Compare EAFP (try-except) and LBYL (if-in-check) styles for safely accessing dictionary keys, with working examples in Python.
def safe_get_lbyl(d, key):
if key in d:
return d[key]
return "default-lbyl"
def safe_get_eafp(d, key):
try:
return d[key]
except KeyError:
return "default-eafp"
if __name__ == "__main__":
data = {"name": "Alice", "age": 30}
print("LBYL:", safe_get_lbyl(data, "missing")…Retry an Operation on ConnectionError in Python
Retries an unreliable operation a fixed number of times when it raises a transient ConnectionError, with a small delay between attempts.
import time
import random
def unreliable_operation():
"""Simulates an operation that throws ConnectionError occasionally."""
if random.random() < 0.6:
raise ConnectionError("Transient network failure")
return "Operation succeeded"
def retry_operation(attempts=4, delay=0.2):
"""Retries the o…Split try except ValueError handler for beginners in Python
Demonstrates how to handle ValueError and ZeroDivisionError separately using try/except blocks, with beginner-friendly examples for parsing and division.
def parse_number(text):
try:
number = int(text)
return f"Parsed successfully: {number}"
except ValueError as error:
return f"Conversion failed: {error}"
def divide_numbers(dividend, divisor):
try:
result = dividend / divisor
return f"Division result: {result}"
e…Try Except ValueError in Python: Handle Conversion Errors
Catch ValueError exceptions when converting strings to integers or performing arithmetic, returning None on failure instead of crashing.
def convert_to_int(value):
try:
return int(value)
except ValueError as error:
print(f"Conversion failed: {error}")
print(f"Problem value was: {repr(value)}")
return None
def divide_numbers(numerator, denominator):
try:
result = numerator / denominator
retur…Use pprint for Nested Structure Debug Output in Python
Pretty-print nested dictionaries and lists with pprint for readable, organized debug output.
from pprint import pprint
def build_nested_structure():
"""Create a sample nested data structure for demonstration."""
return {
"project": "DataPipeline",
"config": {
"inputs": ["raw_1.json", "raw_2.json"],
"processing": {
"steps": ["clean", "transform",…Validate try except ValueError handler for beginners — errors debugging
Learn how to validate user input and handle division errors safely using try/except with ValueError and ZeroDivisionError in Python.
def divide_numbers(a, b):
"""Divide two numbers, catching division by zero and value errors."""
try:
result = a / b
except ZeroDivisionError:
print("Error: Cannot divide by zero!")
return None
except TypeError:
print("Error: Both arguments must be numbers!")
retu…Append a Line to a Log File in Python
Append a line to a file using a context manager and Path.open().
from pathlib import Path
def append_to_log(filepath, message):
with Path(filepath).open("a") as log_file:
log_file.write(f"{message}\n")
if __name__ == "__main__":
log_path = "log.txt"
append_to_log(log_path, "First entry")
append_to_log(log_path, "Second entry")
# Verify contents
…Audit File Permissions Across a Project in Python
Walks through every file and directory in a project tree and prints POSIX permissions plus owner UID.
import os
import stat
from pathlib import Path
def audit_file_permissions(project_root):
"""Walk through project_root and print path, owner, and permissions for every file."""
results = []
for root, dirs, files in os.walk(project_root):
for name in files + dirs:
full_path = os.path.joi…Automatically Detect Corrupted Files Using SHA-256 Checksums in Python
Compute SHA-256 checksums of files and compare them to detect corruption in Python.
import hashlib
import os
def compute_sha256(filepath: str) -> str:
"""Compute SHA-256 checksum of a file."""
sha256 = hashlib.sha256()
with open(filepath, 'rb') as f:
for chunk in iter(lambda: f.read(4096), b''):
sha256.update(chunk)
return sha256.hexdigest()
def validate_file_int…Browse by section
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