Exception Handling in Python 3 - try except else finally faq

learnersLearners: 33,400
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Python 3 provides powerful tools for handling exceptions, such as the try, except, else, and finally statements. This guide provides a comprehensive overview of these concepts, helping beginners to enter the Python world with confidence.

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Course Feature

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Free

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Udemy

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languageLanguage:

English

Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [March 06th, 2023]

This course provides an overview of exception handling in Python 3. Students will learn how to use the try, except, else, and finally statements to handle errors and exceptions in their code. They will also gain an understanding of the different types of errors and exceptions that can occur in Python and how to debug them. By the end of the course, students will have a better understanding of Python fundamentals and exception handling.

[Applications]
Students who have completed this course can apply their knowledge of exception handling in Python 3 to their own projects. They can use the try-except-else-finally structure to handle errors and exceptions in their code. They can also use the logging module to log errors and exceptions for debugging purposes. Additionally, they can use the traceback module to trace the source of errors and exceptions. Finally, they can use the assert statement to test assumptions in their code.

[Career Paths]
1. Software Developer: Software developers create, test, and maintain software applications. They use programming languages such as Python to develop software solutions. With knowledge of exception handling in Python 3, software developers can create more robust and reliable software applications. Additionally, software developers can use exception handling to debug and troubleshoot software issues.

2. Data Scientist: Data scientists use Python to analyze and interpret data. With knowledge of exception handling in Python 3, data scientists can create more reliable data analysis pipelines. Additionally, data scientists can use exception handling to debug and troubleshoot data analysis issues.

3. Web Developer: Web developers use Python to create web applications. With knowledge of exception handling in Python 3, web developers can create more robust and reliable web applications. Additionally, web developers can use exception handling to debug and troubleshoot web application issues.

4. DevOps Engineer: DevOps engineers use Python to automate software development and deployment processes. With knowledge of exception handling in Python 3, DevOps engineers can create more reliable automation scripts. Additionally, DevOps engineers can use exception handling to debug and troubleshoot automation issues.

[Education Paths]
1. Bachelor of Science in Computer Science: This degree path provides students with a comprehensive understanding of computer science fundamentals, including programming languages, algorithms, data structures, and software engineering. Students will also learn about the latest trends in computer science, such as artificial intelligence, machine learning, and cloud computing.

2. Master of Science in Software Engineering: This degree path focuses on the development of software applications and systems. Students will learn about software design, development, testing, and maintenance. They will also gain an understanding of the latest technologies and trends in software engineering, such as cloud computing, mobile development, and web development.

3. Master of Science in Data Science: This degree path focuses on the analysis and interpretation of large datasets. Students will learn about data mining, machine learning, and predictive analytics. They will also gain an understanding of the latest technologies and trends in data science, such as artificial intelligence, natural language processing, and deep learning.

4. Doctor of Philosophy in Computer Science: This degree path provides students with an in-depth understanding of computer science fundamentals, including programming languages, algorithms, data structures, and software engineering. Students will also gain an understanding of the latest technologies and trends in computer science, such as artificial intelligence, machine learning, and cloud computing.

Course Syllabus

What is Python and Father of Python

Easyness of Python when compared with Other Languages

Why the name 'Python'

Python as All Rounder

Where we can use Python

Features of Python

Features of Python Summary

Limitations and Flavors of Python

Python Versions

Pros & Cons

Pros Cons
  • pros

    Easy to understand

  • pros

    Well explained

  • pros

    Thorough and pedagogical

  • pros

    Engaging

  • pros

    Good explanation.

  • cons

    South Indian accent

  • cons

    English needs improvement.

Course Provider

Provider Udemy's Stats at AZClass

Discussion and Reviews

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