We may earn an affiliate commission when you visit our partners.

Exception Handling in Python

In this 1-hour long project-based course, you will learn the differences between an exception and syntax errors, how to raise an exception, what an AssertionError exception is within Python, how to use the try, except and else clause and how to use the finally clause and any clean-up actions.

Thus, ensuring that your code is efficient and robust which is an essential aspect of writing high-quality code. This project will take students through a number of examples demonstrating several of the most useful python exceptions. You will gain an understanding of exception handling in python from the in-depth examples provided.

Enroll now

Or subscribe to Coursera Plus

And get unlimited access to Coursera

What's inside

Syllabus

Exception Handling in Python

By the end of this project, you will have an understanding of error and exception handling in python. Once you have a beginner's knowledge of python programming and start coding you may find that something disrupts the normal flow of the program you have built. You may find yourself with errors in your code. This course will provide students with the knowledge behind exception handling in python and show how to write high-quality code to ensure that if your python scripts encounter a situation that it cannot cope with that the right procedures are in place to provide meaningful information and deal with those errors. Thus, ensuring that your code is efficient and robust which is an essential aspect of writing high-quality code. This project will take students through a number of examples demonstrating several of the most useful python exceptions. You will gain an understanding of exception handling in python from the in-depth examples provided.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Explores a key concept in programming, error and exception handling, which is fundamental to writing quality and efficient code

Emphasizes writing high-quality code, which is a valuable asset for developers

Provides a stepping stone for building upon and gaining a deeper understanding of exception handling

The course's focus on Python, a popular and versatile programming language, enhances its relevance

Save this course

Save Exception Handling in Python to your list so you can find it easily later:

Save

Reviews summary

Comprehensive python exception handling

Learners say this course on Exception Handling in Python is extremely well received with largely positive reviews. Students particularly enjoy the well-explained lectures, and the engaging assignments. Overall, this course is highly recommended for anyone looking to enhance their Python skills.

Assignments are engaging and helpful for practice.

"good"

"Usefull"

"Nice content"

Lectures are clear and easy to follow.

"Well explained"

"Understandable"

"Excellent project"

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Exception Handling in Python with these activities:

Review Python Syntax

Show steps

Refreshes memory on basic Python syntax to strengthen the foundation for this course on error handling.

Browse courses on Python Syntax

Show steps

Go over basic Python data types
Review Python operators
Practice writing simple Python expressions

Follow Python Exception Handling Tutorial

Show steps

Provides structured guidance on exception handling concepts.

Show steps

Find a reputable Python exception handling tutorial
Follow the tutorial step-by-step
Practice the concepts demonstrated in the tutorial

Exception Handling Drills

Show steps

Strengthens understanding of exception handling through repetitive exercises.

Show steps

Practice raising and catching exceptions
Identify different types of exceptions
Practice using the try, except, and finally clauses

Four other activities

Expand to see all activities and additional details

Show all seven activities

Participate in Error Handling Discussion Group

Show steps

Fosters collaboration and knowledge sharing on exception handling topics.

Show steps

Join an online or in-person discussion group focused on Python exception handling
Actively participate in discussions and share knowledge
Seek feedback and guidance from peers

Design an Exception Handling Flowchart

Show steps

Enhances understanding of exception handling flow by creating a visual representation.

Show steps

Identify the different exception types and their relationships
Design a flowchart that outlines the flow of exception handling
Share the flowchart with others for feedback

Bug-Fixing Challenge: Exception Edition

Show steps

Provides a gamified approach to improve debugging and exception handling skills.

Show steps

Find a bug-fixing competition or challenge that involves Python exception handling
Participate in the competition and work on solving the challenges
Analyze the provided code and identify potential errors
Implement appropriate exception handling mechanisms to fix the bugs

Mentor Junior Python Developers

Show steps

Reinforces learning by sharing knowledge and mentoring others in exception handling.

Show steps

Identify opportunities to mentor junior developers or students interested in Python
Share your knowledge and experience in exception handling
Provide guidance and support as they work on projects involving exception handling

Career center

Learners who complete Exception Handling in Python will develop knowledge and skills that may be useful to these careers:

Machine Learning Engineer

Machine Learning Engineers design, build, and maintain machine learning models for a variety of purposes, such as image recognition, natural language processing, and speech recognition. This course may be useful because it provides an understanding of error and exception handling in Python, which is crucial for ensuring machine learning models are robust and can handle unexpected situations.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

Data Scientists use advanced analytical techniques to extract insights from data. They work with data to build models, identify trends, and solve business problems. This course may be useful because it provides an understanding of error and exception handling in Python, which is crucial for ensuring data analysis scripts are robust and can handle unexpected situations.

See salaries and explore the career path for Data Scientist

Quality Assurance Analyst

A Quality Assurance Analyst tests software products to find bugs and ensure they meet quality standards. This course may be useful because it provides an understanding of how to find and fix errors in Python code, which is an important skill for Quality Assurance Analysts.

See salaries and explore the career path for Quality Assurance Analyst

Database Administrator

Database Administrators (DBAs) are responsible for the installation, configuration, maintenance, and performance of databases. DBAs also work with other IT professionals to ensure that data is secure and accessible to authorized users. This course may be useful because it provides an understanding of how to handle errors and exceptions in Python, which is important for ensuring that databases are robust and can handle unexpected situations.

See salaries and explore the career path for Database Administrator

Information Security Analyst

Information Security Analysts protect an organization's computer systems and networks from unauthorized access, use, disclosure, disruption, modification, or destruction. This course may be useful because it provides an understanding of error and exception handling in Python, which is crucial for ensuring that security systems are robust and can handle unexpected situations.

See salaries and explore the career path for Information Security Analyst

Data Engineer

Data Engineers build and maintain the infrastructure that stores and processes data. They work with data scientists and other IT professionals to ensure that data is available, reliable, and secure. This course may be useful because it provides an understanding of how to handle errors and exceptions in Python, which is crucial for ensuring that data pipelines are robust and can handle unexpected situations.

See salaries and explore the career path for Data Engineer

DevOps Engineer

DevOps Engineers work to bridge the gap between software development and operations teams. They work to automate and streamline the software development process, ensuring that software is deployed quickly and reliably. This course may be useful because it provides an understanding of how to handle errors and exceptions in Python, which is crucial for ensuring that DevOps pipelines are robust and can handle unexpected situations.

See salaries and explore the career path for DevOps Engineer

Software Tester

Software Testers test software applications to find bugs and ensure they meet quality standards. This course may be useful because it provides hands-on experience with the Python programming language, which is widely used in software development. Furthermore, it provides an understanding of how to handle errors and exceptions, which is an important skill for Software Testers.

See salaries and explore the career path for Software Tester

Data Analyst

Data analysts work with big data to explore, clean, and analyze data. They prepare data for visualization, create dashboards and other data visualizations, and develop algorithms to uncover patterns and trends. This course may be useful because it focuses on the Python programming language, which is widely used in data analysis and visualization tools. Additionally, it provides an understanding of error handling, ensuring data analysis scripts are robust and can handle unexpected situations.

See salaries and explore the career path for Data Analyst

Software Engineer

A Software Engineer designs, builds, maintains, and tests software applications. Some focus on front-end development, which involves the visible parts of a software product and how a user interacts with it. Others focus on the back-end development, which involves the internal workings and logic of a software product. This course may be useful because it provides hands-on experience with the Python programming language, which is widely used in software development. Furthermore, it provides an understanding of how to handle errors and exceptions, ensuring software runs smoothly and is robust.

See salaries and explore the career path for Software Engineer

Web Developer

Web Developers design and build websites. Some focus on the front-end development, which involves the visible parts of a website and how a user interacts with it. Others focus on the back-end development, which involves the internal workings and logic of a website. This course may be useful because it provides hands-on experience with the Python programming language, which is widely used in web development. Furthermore, it provides an understanding of how to handle errors and exceptions, ensuring websites run smoothly and are robust.

See salaries and explore the career path for Web Developer

Network Engineer

Network Engineers design, build, and maintain computer networks. They work with routers, switches, and other networking equipment to ensure that data can flow smoothly and securely between devices. This course may be useful because it provides an understanding of how to handle errors and exceptions in Python, which is crucial for ensuring that networks are robust and can handle unexpected situations.

See salaries and explore the career path for Network Engineer

Software Developer

Software Developers design, build, and maintain software applications. Some focus on front-end development, which involves the visible parts of a software product and how a user interacts with it. Others focus on the back-end development, which involves the internal workings and logic of a software product. This course may be useful because it provides hands-on experience with the Python programming language, which is widely used in software development. Furthermore, it provides an understanding of how to handle errors and exceptions, ensuring software runs smoothly and is robust.

See salaries and explore the career path for Software Developer

Systems Analyst

Systems Analysts study an organization's current business processes and design and implement new systems or modify existing systems to improve efficiency and effectiveness. This course may be useful because it provides an understanding of error and exception handling in Python, which is crucial for ensuring that systems are robust and can handle unexpected situations.

See salaries and explore the career path for Systems Analyst

Computer Programmer

Computer Programmers write and maintain the code that makes computers work. They may work on a variety of projects, such as developing software applications, creating websites, or managing databases. This course may be useful because it provides hands-on experience with the Python programming language, which is widely used in software development. Furthermore, it provides an understanding of how to handle errors and exceptions, ensuring software runs smoothly and is robust.

See salaries and explore the career path for Computer Programmer

Reading list

We've selected 13 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Exception Handling in Python.

Flask Web Development

Save

Provides a comprehensive introduction to web development in Python. It would be a valuable resource for students who want to learn how to use Python to build web applications.

Exception Handling in Python

What's inside

Syllabus

Good to know

Save this course

Reviews summary

Comprehensive python exception handling

Activities

Career center

Reading list

Share

Similar courses