Raising Exceptions in Python
In Python, exceptions serve as a means of signalling errors or exceptional conditions during program execution. To manually raise an exception, the raise statement is utilized.
Manually Raising Exceptions
To raise an exception, employ the constructor for the specific Exception class that best describes your issue. For instance:
raise ValueError('A very specific bad thing happened.')
This allows you to provide a customized error message that makes it easier to identify the culprit.
Avoidance of Generic Exceptions
Refrain from raising generic Exceptions like Exception. These become difficult to catch as you'll have to catch all subclassed, more specific exceptions as well.
Best Practices: The raise Statement
Use the raise statement with the most specific Exception constructor that fits your situation. You can also pass arguments to the constructor:
raise ValueError('A very specific bad thing happened', 'foo', 'bar', 'baz')
These arguments can be retrieved using the args attribute of the Exception object.
Best Practices: The except Clause
When handling exceptions, you may want to log specific errors and re-raise them. Preserve the stack trace by using a bare raise statement:
logger = logging.getLogger(__name__) try: do_something_in_app_that_breaks_easily() except AppError as error: logger.error(error) raise # just this! # raise AppError # Don't do this, you'll lose the stack trace!
Modifying Errors: Exercise Caution
While it's possible to modify errors using sys.exc_info(), prefer a bare raise for preserving the stack trace. This can be particularly problematic when using threading, as you may capture the wrong traceback.
Exception Chaining (Python 3 Only)
In Python 3, you can chain exceptions to preserve tracebacks:
raise RuntimeError('specific message') from error
Deprecated Methods
Avoid the following as they can silently catch and hide errors or even silently raise the wrong exception:
raise ValueError, 'message' # Deprecated raise 'message' # Seriously wrong, don't do this
Example Usage
An example of raising an exception for incorrect API usage:
def api_func(foo): '''foo should be either 'baz' or 'bar'. returns something very useful.''' if foo not in _ALLOWED_ARGS: raise ValueError('{foo} wrong, use "baz" or "bar"'.format(foo=repr(foo)))
Creating Custom Error Types
You can define custom error types to indicate specific application-related errors:
class MyAppLookupError(LookupError): '''raise this when there's a lookup error for my app'''
The above is the detailed content of How Do I Effectively Raise Exceptions in Python?. For more information, please follow other related articles on the PHP Chinese website!

TomergelistsinPython,youcanusethe operator,extendmethod,listcomprehension,oritertools.chain,eachwithspecificadvantages:1)The operatorissimplebutlessefficientforlargelists;2)extendismemory-efficientbutmodifiestheoriginallist;3)listcomprehensionoffersf

In Python 3, two lists can be connected through a variety of methods: 1) Use operator, which is suitable for small lists, but is inefficient for large lists; 2) Use extend method, which is suitable for large lists, with high memory efficiency, but will modify the original list; 3) Use * operator, which is suitable for merging multiple lists, without modifying the original list; 4) Use itertools.chain, which is suitable for large data sets, with high memory efficiency.

Using the join() method is the most efficient way to connect strings from lists in Python. 1) Use the join() method to be efficient and easy to read. 2) The cycle uses operators inefficiently for large lists. 3) The combination of list comprehension and join() is suitable for scenarios that require conversion. 4) The reduce() method is suitable for other types of reductions, but is inefficient for string concatenation. The complete sentence ends.

PythonexecutionistheprocessoftransformingPythoncodeintoexecutableinstructions.1)Theinterpreterreadsthecode,convertingitintobytecode,whichthePythonVirtualMachine(PVM)executes.2)TheGlobalInterpreterLock(GIL)managesthreadexecution,potentiallylimitingmul

Key features of Python include: 1. The syntax is concise and easy to understand, suitable for beginners; 2. Dynamic type system, improving development speed; 3. Rich standard library, supporting multiple tasks; 4. Strong community and ecosystem, providing extensive support; 5. Interpretation, suitable for scripting and rapid prototyping; 6. Multi-paradigm support, suitable for various programming styles.

Python is an interpreted language, but it also includes the compilation process. 1) Python code is first compiled into bytecode. 2) Bytecode is interpreted and executed by Python virtual machine. 3) This hybrid mechanism makes Python both flexible and efficient, but not as fast as a fully compiled language.

Useaforloopwheniteratingoverasequenceorforaspecificnumberoftimes;useawhileloopwhencontinuinguntilaconditionismet.Forloopsareidealforknownsequences,whilewhileloopssuitsituationswithundeterminediterations.

Pythonloopscanleadtoerrorslikeinfiniteloops,modifyinglistsduringiteration,off-by-oneerrors,zero-indexingissues,andnestedloopinefficiencies.Toavoidthese:1)Use'i


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Zend Studio 13.0.1
Powerful PHP integrated development environment

Safe Exam Browser
Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.

SublimeText3 English version
Recommended: Win version, supports code prompts!

PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool
