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Emma Martin
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.
Read more
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.
Read more
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.
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/opjj30/exception
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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
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:
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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
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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 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.
Data Scientist
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.
Quality Assurance Analyst
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.
Database Administrator
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.
Information Security Analyst
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.
Data Engineer
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.
DevOps 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.
Software Tester
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.
Data Analyst
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.
Software Engineer
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.
Web Developer
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.
Network Engineer
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.
Software Developer
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.
Systems Analyst
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.
Computer Programmer
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.
For more career information including salaries, visit:
OpenCourser.com/course/opjj30/exception
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.
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.
Save
Provides a comprehensive introduction to algorithms and data structures in Python. It would be a valuable resource for students who want to learn how to design and implement efficient algorithms in Python.
Provides a comprehensive introduction to machine learning in Python. It would be a valuable resource for students who want to learn how to apply machine learning techniques to real-world problems.
Provides a comprehensive introduction to data analysis in Python. It would be a valuable resource for students who want to learn how to use Python to analyze and visualize data.
Provides a comprehensive introduction to finance in Python. It would be a valuable resource for students who want to learn how to use Python to analyze and visualize financial data.
Save
Provides a comprehensive reference to the Python programming language, covering topics such as syntax, data types, libraries, and advanced programming techniques. It would be a valuable resource for students who want to learn more about the Python language and its features.
Save
Provides a comprehensive introduction to Python programming, covering topics such as data types, loops, functions, and object-oriented programming. It would be a valuable resource for students who want to learn Python in depth.
Save
Provides a comprehensive reference to the Python programming language, covering topics such as syntax, data types, libraries, and advanced programming techniques. It would be a valuable resource for students who want to learn more about the Python language and its features.
Save
Provides a collection of recipes for solving common programming problems in Python. It would be a valuable resource for students who want to learn how to solve real-world programming problems in Python.
Provides a hands-on introduction to Python programming, covering topics such as variables, data types, loops, functions, and object-oriented programming. It would be a useful resource for students who want to learn Python quickly and easily.
Save
Provides practical advice on how to write better Python code, covering topics such as code simplicity, clarity, and efficiency. It would be a valuable resource for students who want to improve their Python programming skills.
Save
Provides a beginner-friendly introduction to Python programming, covering topics such as data types, loops, functions, and object-oriented programming. It would be a useful resource for students who are new to Python or who want to refresh their basic programming skills.
Save
Provides a step-by-step introduction to Python programming, covering topics such as variables, data types, loops, functions, and object-oriented programming. It would be a useful resource for students who are new to Python or who want to refresh their basic programming skills.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/opjj30/exception
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Effort
1 hour 15 minutes
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Emma Martin
Language
English
Good to know
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
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