- What is Python?
- How to Install Python?
- Python Variables and Operators
- Python Loops
- Python Functions
- Python Files
- Python Errors and Exceptions
- Python Packages
- Python Classes and Objects
- Python Strings
- PostgreSQL Data Types
- Python Generators and Decorators
- Python Dictionary
- Python Date and Time
- Python List and Tuples
- Python Multithreading and Synchronization
- Python Modules
- What is Python bytecode?
- Python Regular Expressions
Python Panda Tutorial
- Python Pandas Tutorial
- Python Pandas Features
- Advantages and Disadvantages of Python Pandas
- Pandas Library In Python
- Pandas Series To Frame
- Python Dataframeaggregate and Assign
- Pandas Dataframe Describe
- Pandas Dataframe Mean
- Pandas Hist
- Pandas Dataframe Sum
- How to convert Pandas DataFrame to Numpy array
- Pandas Concatenation
- Pandas Shift
- Pandas Rolling
- Data Analysis With Pandas and Python
- How Python Panda Are Helpful For With Data Science
- Selenium Basics
- Selenium with Python Introduction and Installation
- Navigating links using get method Selenium Python
- Locating Single Elements in Selenium Python
- Locating Multiple elements in Selenium Python
Python Flask Tutorial
- How to Install Django and Set Up a Virtual Environment in 6 Steps
- Django MTV Architecture
- Django Models
- Django Views
- Django Templates
- Django Template Language
- Django Project Layout
- Django Admin Interface
- Django Database
- Django URLs and URLConf
- Django Redirects
- Django Cookies and Cookies Handling
- Django Caching
- Types of Caching in Django
- Django Sessions
- Django Forms Handling & Validation
- Django Exceptions & Error-handling
- Django Forms Validation
- Django Redirects
- Django Admin Interface
- Django Bootstrap
- Ajax in Django
- Django Migrations and Database Connectivity
- Django Web Hosting and IDE
- Django Admin Customization
- What is CRUD?
- Django ORM
- Django Request-Response Cycle
- Django ORM
- Making a basic_api with DRF
- Django Logging
- Django Applications
- Difference between Flask vs Django
- Difference between Django vs PHP
- Numpy Introduction
- NumPy– Environment Setup
- NumPy - Data Types
- NumPy Histogram
- Matrix in NumPy
- NumPy Arrays
- NumPy Array Functions
- Matrix Multiplication in NumPy
- NumPy Matrix Transpose
- NumPy Array Append
- NumPy empty array
- NumPy Linear Algebra
- NumPy sum
- NumPy Normal Distribution
- NumPy correlation
- Why we learn and use Numpy?
- Introduction To Tensorflow
- INTRODUCTION TO DEEP LEARNING
- EXPLAIN NEURAL NETWORK?
- CONVOLUTIONAL AND RECURRENT NEURAL NETWORK
- INTRODUCTION TO TENSORFLOW
- INSTALLATION OF TENSORFLOW
- TENSORBOARD VISUALIZATION
- Linear regression in tensorflow
- Word Embedding
- Difference between CNN And RNN
- Explain Keras
- Program elements in tensorflow
- Recurrent Neural Network
- Tensorflow Object Detection
- EXPLAIN MULTILAYER PERCEPTRON
- GRADIENT DESCENT OPTIMIZATION
Interview Questions & Answers
Python Errors and Exceptions
What is an error?
An error is a condition that happens when the developer does not follow a suitable mechanism.
What is an exception?
These are only the sensible bugs that were found during run time. Like this, if the code is compiled (or) interpreted, the function turns out to be emphatical. Be that as it may, before long, at run time we can find expectations. These are just exceptions. Division with zero is a case of an exception.
|I/O errors||It increases when the input/ output function fails.|
|Arithmetic error||It increases when the mathematical evaluation fails.|
|Floating-point error||It increases when the floating-point evaluation fails.|
|Zero division error||It increases while the division and modulo by zero happen.|
|Assertion error||It increases when the assert declaration fails.|
|Overflow error||It increases when the arithmetic function is too high.|
|Import error||It increases while the imported module is not discovered.|
|Keyboard interrupt error||It increases when the client interrupts the phase implementation. It is generally was completed by clicking Ctrl+c.|
|Stop iteration error||It increases while the next technique of the iterator does not chance to some object.|
|Indentation error||It increases while there is a wrong indentation.|
|Name error||It increases while the identifier is not discovered in the local and global namespace.|
|Key error||It increases when the defined key is not discovered in the dictionary.|
|Value error||It increases when the function gets parameters of the right type but improper value.|
|Attribute error||It increases while the attribute reference and assignment fails.|
|Syntax error||It increases through the parser while the syntax bug is encountered.|
|Index error||It increases while the index is out of range.|
|Runtime error||It increases when the generated bug does not fall into any group.|
|Type error||It increases when the function is used to the object of the incorrect type.|
|Unbound local error||It increases while we are attempting to approach the local variable and a technique in a function. But their default value is not authorized.|
|EOF bug||It increases while there is no input either from raw _input() an input operation.|
In python utilizing try, we can get the special case. In any case, If any code inside the attempt causes a special case, an exemption of the code will stop and hop to the aside from explanation. In any case, when a special case happens in the try block, Python searches for the coordinating aside from block to deal with it.
x > 100
print(“Something went wrong”)
print (“Even if it increased a bug, the program remains running”)
Something went wrong
Even if it increased a bug, the program remains running.
Another type of exception which we require to manage is the try-except structure:
Hence in the try structure, we may put the dubious program where the bug is likely. Then the try block, we can distinguish the except declaration. The block of code follows the except data. This handles the code as productively as could reasonably be expected.
Except exceptions 1
Except exceptions 2
if there is no exception, this block is executed.
ab = open(“example”, “r”)
ab.write(“This is my test document for exception handling!!”)
print (“Bug: can\’t discover the document or read information”)
print (“Written text in the document efficiently”)
Error: can’t discover the document or read information
Features of try-except blocks:
An individual try block has various except declaration. This is valuable when the try block contains exemptions and throws various special cases.
Here we can give a generic except a condition which handles any exemption.
Afterwards the except statement, we can contain an else condition. If the program in the try structure doesn’t increase an exemption, the program in the else structure implements.
Can we use except class without exceptions?
Yes, we can utilize the except class where there is no particular case characterized. For the most part, the try get proclamation gets all the specific case that happens. Since in the correct programming exercise, try-except from isn’t supposed as a superior. Also, the try-except from proclamation gets all the exemptions.
How to raise an exception?
Utilizing the raise declaration, we can increase an exception in multiple methods.
Raise [Exception [,args [,traceback]]]
The exception is a type of exception(for instance, NameError)
The argument is the argument type of value. This is an optional value.
The traceback object is used for an exception. This is also optional.
print(‘This is an instance of increasing an error’)
Traceback (most recent call last):
This is an instance of increasing an error
Python enables the use of generating and represent the exception of our own. Let us have a view on how to generate the user define exceptions.
# define Python user-defined exceptions
Class Error (Exception):
“””Base class for other exceptions”””
Class minerror (Error):
“””Increased when the input value is too small”””
Class maxerror (Error):
“””Increased when the input value is too large”””
# Our main program
# User guesses a number until he/she gets it right
# you need to guess this number
number = 20
i_num = int(input(“Enter a number: “))
if i_num < number:
elif i_num > number:
print(“This value is less than the initialized number, try again!”)
Print(“This value is greater than the initialized number, try again!”)
Print (“Congratulations! You guessed it correctly.”)
Enter a number: 5
This value is less than the initialized number, try again!
Enter a number: 100
This value is higher than the initialized number, try again!
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