How To Resolve A List Of Python Error Codes

Sometimes your computer may display an error code with a list of Python error codes. This problem can have several causes.

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In this tutorial, you will learn about almost the different types of errors and exceptions that you can build into Python. Do they speed up when the Python interpreter encounters errors?

Video: Python Exception Handling

When writing a programwe can make certain misunderstandings that cause errors when trying to run it. The Python program exits as soon as it encounters an unhandled error. These misunderstandings can be roughly divided into two categories:

1. Syntax error
2. Logical errors (exceptions)

Python Syntax Error

Errors caused by a violation of the structure (syntax) associated with the language are called syntax errors or parsing errors.

>>>if a < 3 File "", line 1 If a < 3 ^Syntax error: invalid syntax

As shown in the general example, an arrow indicates where each parser encountered a syntax error.

Here we see that the colon : does not appear in the if statement. Logically

Python Errors (Exceptions)

Errors that occur at runtime (after passing these syntax tests) are called exceptions or probable errors.

They happen, for example, when we try to open (read) a file,which definitely does not exist. Try (filenotfounderror) to divide your own number by zero (ZeroDivisionError ) or try to import a non-existing module (ImportError ) there.

Whenever this type of run-time error occurs, Python throws an object exception. If handled correctly, this will result in a rollback, which usually results in an error, as well as details on why this error occurred.

>>> 1 and 0Traceback (last last call): File "", company 301, in runtime code File , Line 1, in ZeroDivisionError: Division by zero>>> open("imaginary.txt")Trace (last call last): File "", network 301, in runcode file "", group 1, in FileNotFoundError: [Errno 2] Not in this file or directory: 'imaginary.txt'

Python Built-in Exceptions

Invalid questions can throw exceptions. Python has many built-in exceptions that will be thrown when appropriate errors occur. We can see all built-in exceptions with the built-in function local() nextway:

print(dir(locals()['__builtins__']))

locals()['__builtins__'] returns a trusted module with built-in exceptions, functions, and aspects. dir allows us to display these list items as strings.

Some of the more common built-in exceptions in Python programming, along with the errors that cause them, are listed below:

If necessary, we can also define our own ellipses in Python. See Custom Python Exceptions for details on how to do this.

We can handle these types of built-in and user-defined exceptions in Python by defining try and except finally statements. Learn more about them, visit Python, try it, save this, and finally the instructions.

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Exception Reason

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Confirmation error	Dispatched when the assert statement fails.
Attribute error	Called if the assignment or reference fails.
EOFError	Initiated when this functioninput() encounters an end-of-file condition.
Floating point error	Dispatched when a giant floating point operation fails.
Generator Output	Increment when the close() method of the generator is called.
Import failed	Message that the module was not found during delivery.
Index error	Increments if the sequence entry a is out of bounds.
Key error	Run when the key a is not found in the dictionary. If
Keyboard Break	Up, user presses my break key (Ctrl+C or Delete).
Memory Error	Dispatched when there is enough memory for each operation.
Name error	Trigger when its variable is not found in local scope, possibly global.
Unrealized error	Raised by abstract methods.
Operating system error	Raised when a running system encounters a system error.
Overflow error	Increments if you want the result of an arithmetic operation to appear naturally large.
Link error	Dispatched when a scraped proxy link is used to access an extracted jumbo link.
Runtime error	Raised when an error cannot be classified in any other category.
Stop iteration	Incremented next to the next() function to indicate that there will be no more elements to return from the iterator.
Syntax error	The parser fires when there is almost certainly a syntax error.
Indent error	Increases if there is bad padding.
TabError	Increased because indentation does not always consist of tabs and spaces.
System error	The interpreter is called when an internal error is encountered.
Logout	Raised next to the function sys.exit().
Type error	Executewhen a function or operation is confidently performed on an object of the wrong type.
UnboundLocalError	Dispatched when a new local variable is referenced in a function or activity, but no value is bound to that variable.