Python Exception Handling

Learn about Errors in programming, different kinds of exceptions, try, except, else, finally block to handle exceptions

Created by : Rated :4 564 views

Last Updated: 2023-10-06 11:10:39 English Course Type: Self Learning

In this course the learners will get a solid understanding about exception handling in Python.
How is a python program compiled?
How to write user defined exceptions, how to use the assert statement ?
Concept of logging error messages in Python
Different types of errors and their significance
Different exception classes
Try-except, else and finally block
Python virtual Machine

Python has become one of the most sought-after programming languages to learn. If you are a high school student, college graduate, master's student, or a working professional who has an interest in programming, web development, data science, machine learning and AI, Python is the go-to language.

A lot of people who start learning the language, often skip some important topics that differentiate them from other great developers. One such topic is exception handling. After learning this topic, you will be able to make your program error-proof and robust.

You may ask, why can't I learn from online resources freely available? Yes, indeed one has access to a large amount of information. But the challenge still remains, how to maximize your learning. Think of it this way, If you go ahead with the course, your efforts in order to find the right learning resource is drastically reduced as I have condensed the material for you and also explained each topic in a simple manner that anyone can grasp quickly. This 3.5 hours course can be easily completed in 10 days.

What does this course cover?

Errors in programming.

How are python programs executed.

Python virtual machine, interpreter, byte code etc.

Different types of errors and exceptions.

Different exception classes and user defined exceptions.

Try, except, else and finally block

Nested try-except block

Assert statement

Logging exceptions in Python.

There will coding demonstration for each topic and you can assess your learning with the help of Quizzes and Assignments.

There are no specific requirements but a basic understanding of Python syntax, such as variables, loops, functions, classes and objects will be good. Please note that if you dont possess this knowledge, its completely normal as you can study about these topics as and when you will do the course side by side.

This course is for students, early working professionals who want to understand the concept of exception handling in python and upskill themselves.

Section 1 : Introduction 3 Lectures 00:26:03
Lecture 1 :
Course Introduction Preview
Lecture 2 :
Errors in programming
Lecture 3 :
How are python programs executed ?
Section 2 : Different Types of Errors 6 Lectures 00:33:59
Lecture 1 :
Compile time errors
Lecture 2 :
Compile time errors demo
Lecture 3 :
Logical errors
Lecture 4 :
Logical errors demo
Lecture 5 :
Runtime errors
Lecture 6 :
Runtime errors demo
Section 3 : Exceptions and Exception Handling 17 Lectures 01:52:13
Lecture 1 :
How does Python know what an exception is?
Lecture 2 :
Normal termination vs abnormal termination of a program
Lecture 3 :
Arithmetic errors
Lecture 4 :
Index errors
Lecture 5 :
Import error
Lecture 6 :
Name error
Lecture 7 :
Key error
Lecture 8 :
Try-except block to handle exceptions
Lecture 9 :
Try-except block demo
Lecture 10 :
Else block
Lecture 11 :
Else block demo
Lecture 12 :
Finally block
Lecture 13 :
Finally block demo
Lecture 14 :
When will finally block not be executed ?
Lecture 15 :
Nested try-except block
Lecture 16 :
Can there be more than one exception?
Lecture 17 :
How to handle multiple exceptions?
Section 4 : Assert Statement and User Defined Exceptions 3 Lectures 00:21:39
Lecture 1 :
Assert statement and Assertion error
Lecture 2 :
Assert statement demo
Lecture 3 :
User defined exceptions
Section 5 : Logging in Python 2 Lectures 00:19:46
Lecture 1 :
Logging module in Python
Lecture 2 :
Logging errors demo
Section 6 : Notebooks Used in The Course 1 Lectures
Lecture 1 :
Codes

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Do i need a pc to access the course or can i do it on mobile & tablet as well?
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Aditya Rajiv,

564 Course Views

1 Courses

Passionate about programming, data science, machine learning, psychology and teaching. I really like to share my thoughts and it makes me very happy when someone feels I was able to add value to their life through my teaching. I keen reading about different topics and when I go deep in a subject a like to compile it and make it a course!.