ERRORS IN PYTHON

TYPES OF ERRORS IN PYTHON:

Are you aware of the types of errors in python? In this article you will learn about the various errors that occur in python. Now let’s discuss each of them in detail:

1. Syntax error

Code, incorrect indentation, incorrect use of keywords, incorrect use of operator, etc. There will be a syntax error in Python when the translation cannot parse the code because it violates the Python language Syntax errors prevent the code from running. The interpreter displays error messages that indicate the issue and where it occurred in the code.

2. Runtime Errors

Runtime errors in Python occur when a program encounters an unexpected event during execution that cannot continue.

Runtime errors, also known as exceptions, can occur for many reasons, such as dividing by zero, trying to access a parameter out of range, or calling a function that doesn’t exist. 

Types of runtime errors

runtime errors can be difficult to debug because they occur at runtime and are challenging to reproduce. To improve the runtime error, we must know the reason of the error and modify the code to resolve or avoid the mistake altogether. Some specific types of runtime errors are given below:

i)NameError:

NameError in Python occurs when the interpreter encounters a variable or function name that cannot be found in the current scope. This can happen for various reasons, including inconsistent or misspelling of the function name, using a variable or function before defining it, or referencing a variable or process other than the valid.

ii)TypeError:

In Python, a TypeError will occur whenever a function or function is applied to an object of wrong type. This can happen when performing arithmetic or logical operations on arbitrary data or passing an incorrect type of argument to the process (String, list, or tuple).

This happens when we try to access an element that is not in the array or when we try to access a part greater than or equal to the length of a parameter.

iii)AttributeError

In Python, an AttributeError occurs when you try to find an attribute of an object that does not exist or is not defined for that object. This can take place when you misspell the name of a device or procedure or when you try to access a device or process that is not defined for the type of device you are using.

iv)IndexError

An error occurs when the index is not requested for a document or tuple. This can happen if the input parameter is longer than the corresponding list or tuple. Checking the length of the list or tuple before indexing, or using a unique handle to catch issues as they occur, are solutions to index errors.

v)Valueerror

A valueerror occurs when you try to pass an argument to a function that has a correct type but an invalid value. For example, Python throws an error value if you try to pass a negative number as an argument to a base function.

In general, the error value can be fixed by ensuring that the arguments given to the function are within the result.

vi)Key error

A fundamental error occurs when you try to enter a key in a dictionary that does not exist. This can happen if you enter the wrong key or if the key needs to be defined. Fundamental errors can often be fixed by ensuring the key is used, and the dictionary contains the key before entering it.

3. Logic Error

A runtime error that causes incorrect results when the code runs without syntax or due to a flaw in the code.

Incorrect assumptions, poor understanding of the problem, or incorrect use of algorithms or models often cause these errors.

Logic errors are challenging to diagnose and fix because, unlike syntax or runtime errors, code execution does not generate error messages. Results may appear correct, but sometimes code can produce incorrect output.

How to handle errors with Try-Only Blocks ?

In Python The ability to catch and handle exceptions that could cause our program to crash or malfunction.

A try block contains code that can raise an exception, such as an int() function call or a divide function. If an exception occurs in the test, it immediately jumps to the appropriate exception block, depending on the type of exception that occurred.

If a ValueError occurs (because the user entered a non-numeric value), we print a message stating that the input is invalid. If a ZeroDivisionError occurs (because the user entered a zero), we print a letter stating that the entry is invalid. If no exception occurs, the exception block is skipped, and code execution is normal.

By using try-except blocks in your code and handling exceptions appropriately, you can prevent unexpected errors, increase the reliability of your code, and provide a better user experience.

Conclusion:

It is likely that different types of errors will occur in python programming but one must know how to fix these errors so that there is no gap during the operation.

Hence, to avoid errors in Python, you should check the type of an object before running it. This helps ensure that the product type matches the function and that the function is supported by the product.