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David Dalsveen
If you have seen any of the news lately, it is not hard to imagine why software bugs cost the economy billions of dollars per year as well as costing lives. The ability to test your code (and other’s code) is probably one of the most important skills to know as a developer. Knowing how to track down and fix bugs is also critical.
Read more
If you have seen any of the news lately, it is not hard to imagine why software bugs cost the economy billions of dollars per year as well as costing lives. The ability to test your code (and other’s code) is probably one of the most important skills to know as a developer. Knowing how to track down and fix bugs is also critical.
Read more
If you have seen any of the news lately, it is not hard to imagine why software bugs cost the economy billions of dollars per year as well as costing lives. The ability to test your code (and other’s code) is probably one of the most important skills to know as a developer. Knowing how to track down and fix bugs is also critical.
Testing can mean adding print statements to output data at certain points in a program to visually check it. Testing can also involve developing separate programs to test the functionality of the code itself.
In this course, you will create a Python application that implements a new sorting algorithm. You will also create a test to sort the algorithm, and use debugging to find bugs in the code.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Register for this course and see more details by visiting:
OpenCourser.com/course/3683e8/testing
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What's inside
Syllabus
Testing and Debugging Python
If you have seen any of the news lately, it is not hard to imagine why software bugs cost the economy billions of dollars per year as well as costing lives. The ability to test your code (and other’s code) is probably one of the most important skills to know as a developer. Knowing how to track down and fix bugs is also critical.
Testing can mean adding print statements to output data at certain points in a program to visually check it. Testing can also involve developing separate programs to test the functionality of the code itself.
In this course, you will create a Python application that implements a new sorting algorithm. You will also create a test to sort the algorithm, and use debugging to find bugs in the code.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops the ability to test and debug Python code, which are essential skills for software developers to identify and resolve issues within code
Guides learners through the creation of a Python application that implements a new sorting algorithm, facilitating the understanding of algorithm implementation and its testing
Utilizes debugging techniques to identify bugs in code, empowering learners to troubleshoot effectively
Focuses on testing and debugging in Python, catering to those interested in Python development or expanding their Python skills
Save this course
Save Testing and Debugging Python to your list so you can find it easily later:
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Reviews summary
Engaging intro to testing in python
According to students, this course is a great introduction to testing and debugging Python. Reviews are largely positive, with over 60% of reviewers giving the course a perfect score. Students commend the engaging assignments and the helpfulness of the instructor. However, some students remark that the course is too basic for those with some prior experience in testing and debugging.
This course is well-suited for those who have little to no experience in testing and debugging Python.
"I just Wanted to get started and with this course I really did. Very useful"
"Helpful for beginner who are trying to learn testing."
"I joined this course because i was not getting the testing part from algorithmic toolbox course. This course was as i expected. I was able to grasp all the concepts taught in this course. "
Students find the interactive coding assignments to be helpful in practicing testing and debugging.
"just right guided project"
"Quick, easy and industry-relevant"
"it was nice session on python and test environment"
While many students find this course to be a helpful introduction to the basics of testing and debugging, some with more experience find it too elementary.
"Very basic, only for people who have no experience in testing or debugging."
"Not quite enough for enter workforce as sysadmin, DevOps, and Linux Engineer"
"Not so elaborate, Just ok as its just enough for knowing what is it about."
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 Testing and Debugging Python with these
activities:
Python Debugging Tutorial
Show steps
Follow a debugging tutorial to learn techniques for finding and fixing bugs in your Python code.
Browse courses on
Python
Show steps
-
Find a debugging tutorial.
-
Read the tutorial.
-
Apply the techniques to your own code.
Pair Programming
Show steps
Collaborate with peers on a debugging or coding exercise to enhance your problem-solving and teamwork skills.
Show steps
-
Find a peer to work with.
-
Choose a coding exercise.
-
Work together to solve the exercise.
-
Reflect on your collaboration.
SQL Practice
Show steps
Practice writing SQL queries to improve your proficiency in data querying and manipulation.
Browse courses on
SQL
Show steps
-
Choose a SQL query to solve.
-
Write the SQL query.
-
Test and debug your query.
Six other activities
Expand to see all activities and additional details
Show all nine activities
DSA Practice Problems
Show steps
Practice solving Data Structure and Algorithm problems to improve your problem-solving and coding skills.
Browse courses on
Data Structures
Show steps
-
Choose a problem to solve.
-
Read the problem statement carefully.
-
Design an algorithm to solve the problem.
-
Implement the algorithm in Python.
-
Test and debug your code.
Unit Testing with Python
Show steps
Create a unit test suite for your sorting algorithm to ensure its correctness and reliability.
Browse courses on
Testing
Show steps
-
Learn about unit testing frameworks.
-
Write unit tests for your sorting algorithm.
-
Run and verify the unit tests.
Sorting Algorithm Implementation
Show steps
Implement a new sorting algorithm in Python to demonstrate your understanding of sorting techniques.
Browse courses on
Sorting Algorithms
Show steps
-
Choose a sorting algorithm to implement.
-
Design and implement the sorting algorithm in Python.
-
Test and debug your implementation.
Blog Post about Debugging
Show steps
Write a blog post sharing your debugging experiences, strategies, and lessons learned to help others enhance their debugging skills.
Browse courses on
Debugging
Show steps
-
Choose a debugging topic.
-
Research and write the content.
-
Proofread and publish the blog post.
Peer Mentoring
Show steps
Offer guidance and support to fellow peers or junior learners to reinforce your understanding of testing and debugging concepts.
Show steps
-
Identify a peer or junior learner.
-
Offer your mentorship and support.
-
Provide guidance on testing and debugging techniques.
-
Reflect on your mentoring experience.
Contribute to Open Source Project
Show steps
Contribute to an open-source project related to testing or debugging to gain practical experience and support the community.
Show steps
-
Find an open-source project to contribute to.
-
Make a contribution to the project.
-
Submit a pull request.
Python Debugging Tutorial
Show steps
Follow a debugging tutorial to learn techniques for finding and fixing bugs in your Python code.
Browse courses on
Python
Show steps
Show steps
Show steps
- Find a debugging tutorial.
- Read the tutorial.
- Apply the techniques to your own code.
Pair Programming
Show steps
Collaborate with peers on a debugging or coding exercise to enhance your problem-solving and teamwork skills.
Show steps
Show steps
Show steps
- Find a peer to work with.
- Choose a coding exercise.
- Work together to solve the exercise.
- Reflect on your collaboration.
SQL Practice
Show steps
Practice writing SQL queries to improve your proficiency in data querying and manipulation.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Choose a SQL query to solve.
- Write the SQL query.
- Test and debug your query.
Six other activities
Expand to see all activities and additional details
Show all nine activities
DSA Practice Problems
Show steps
Practice solving Data Structure and Algorithm problems to improve your problem-solving and coding skills.
Browse courses on
Data Structures
Show steps
Show steps
Show steps
- Choose a problem to solve.
- Read the problem statement carefully.
- Design an algorithm to solve the problem.
- Implement the algorithm in Python.
- Test and debug your code.
Unit Testing with Python
Show steps
Create a unit test suite for your sorting algorithm to ensure its correctness and reliability.
Browse courses on
Testing
Show steps
Show steps
Show steps
- Learn about unit testing frameworks.
- Write unit tests for your sorting algorithm.
- Run and verify the unit tests.
Sorting Algorithm Implementation
Show steps
Implement a new sorting algorithm in Python to demonstrate your understanding of sorting techniques.
Browse courses on
Sorting Algorithms
Show steps
Show steps
Show steps
- Choose a sorting algorithm to implement.
- Design and implement the sorting algorithm in Python.
- Test and debug your implementation.
Blog Post about Debugging
Show steps
Write a blog post sharing your debugging experiences, strategies, and lessons learned to help others enhance their debugging skills.
Browse courses on
Debugging
Show steps
Show steps
Show steps
- Choose a debugging topic.
- Research and write the content.
- Proofread and publish the blog post.
Peer Mentoring
Show steps
Offer guidance and support to fellow peers or junior learners to reinforce your understanding of testing and debugging concepts.
Show steps
Show steps
Show steps
- Identify a peer or junior learner.
- Offer your mentorship and support.
- Provide guidance on testing and debugging techniques.
- Reflect on your mentoring experience.
Contribute to Open Source Project
Show steps
Contribute to an open-source project related to testing or debugging to gain practical experience and support the community.
Show steps
Show steps
Show steps
- Find an open-source project to contribute to.
- Make a contribution to the project.
- Submit a pull request.
Career center
Learners who complete Testing and Debugging Python will develop knowledge and skills
that may be useful to these careers:
Test Engineer
Test Engineer
Test Engineers write test cases and help write software requirements specifications. They help develop testing scripts for manual testing and create and maintain test frameworks for automated testing. They need to be able to test software thoroughly and debug issues. A course in testing and debugging Python will help to build a strong foundation for a career in test engineering.
Software Tester
Software Tester
Software Testers test software to find bugs and ensure that it works as intended. They need to be able to think critically and solve problems. A course in testing and debugging Python will help to build a strong foundation for a career in software testing.
Software Developer
Software Developer
Software Developers write code for applications and systems. They also help to debug and test software. A course in testing and debugging Python will help to build a strong foundation for a career in software development.
Quality Assurance Analyst
Quality Assurance Analyst
Quality Assurance Analysts help to define and implement quality standards for software. They assess the quality of software and help to improve it. A course in testing and debugging Python will help to build a strong foundation for a career in quality assurance.
Computer Support Specialist
Computer Support Specialist
Computer Support Specialists resolve technical issues for users of computers and software. They may also help with software installation and maintenance. A course in testing and debugging Python will help to build a strong foundation for a career in computer support.
Systems Analyst
Systems Analyst
Systems Analysts analyze business needs and design and implement computer systems. They may also help with testing and debugging software. A course in testing and debugging Python will help to build a strong foundation for a career in systems analysis.
Network Administrator
Network Administrator
Network Administrators manage and administer computer networks. They ensure that networks are reliable and secure. A course in testing and debugging Python will help to build a strong foundation for a career in network administration.
Database Administrator
Database Administrator
Database Administrators manage and administer databases. They ensure that databases are accessible and secure. A course in testing and debugging Python will help to build a strong foundation for a career in database administration.
Data Analyst
Data Analyst
Data Analysts collect and analyze data to draw conclusions. They may also help develop and implement data systems. A course in testing and debugging Python will help to develop skills in data analysis and data system development.
Information Security Analyst
Information Security Analyst
Information Security Analysts protect computer systems and networks from cyber attacks. They develop and implement security measures and monitor for threats. A course in testing and debugging Python will help to build a strong foundation for a career in information security.
Project Manager
Project Manager
Project Managers plan and manage projects from start to finish. They work with teams of developers, testers, and other stakeholders to deliver successful projects. A course in testing and debugging Python will help to build a strong foundation for a career in project management.
Business Analyst
Business Analyst
Business Analysts analyze business needs and design and implement solutions. They may also help with testing and debugging software. A course in testing and debugging Python will help to build a strong foundation for a career in business analysis.
Technical Writer
Technical Writer
Technical Writers create and maintain documentation for software and other technical products. They need to be able to understand complex technical concepts and communicate them clearly to a non-technical audience. A course in testing and debugging Python will help to build a strong foundation for a career in technical writing.
Instructional Designer
Instructional Designer
Instructional Designers design and develop educational programs and materials. They need to be able to understand the needs of learners and create effective learning experiences. A course in testing and debugging Python will help to build a strong foundation for a career in instructional design.
Teacher
Teacher
Teachers instruct students in various subjects. They need to be able to create lesson plans and deliver instruction in a way that is engaging and effective. A course in testing and debugging Python may be helpful for teachers who want to incorporate computer science into their curriculum.
For more career information including salaries, visit:
OpenCourser.com/course/3683e8/testing
Reading list
We've selected eight 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
Testing and Debugging Python.
Save
Provides a comprehensive guide to debugging Python code, including tools and techniques.
Save
Provides a collection of recipes for solving common Python development problems, including testing and debugging.
Provides a comprehensive guide to data analysis with Python, including testing and debugging.
Provides a comprehensive guide to machine learning with Python, including testing and debugging.
Provides a comprehensive guide to deep learning with Python, including testing and debugging.
Provides a comprehensive guide to natural language processing with Python, including testing and debugging.
Provides a comprehensive guide to computer vision with Python, including testing and debugging.
Provides a quick and easy introduction to Python programming, including testing and debugging.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/3683e8/testing
Share
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Effort
55 minutes
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
David Dalsveen
Language
English
Good to know
Develops the ability to test and debug Python code, which are essential skills for software developers to identify and resolve issues within code
Guides learners through the creation of a Python application that implements a new sorting algorithm, facilitating the understanding of algorithm implementation and its testing
Utilizes debugging techniques to identify bugs in code, empowering learners to troubleshoot effectively
Focuses on testing and debugging in Python, catering to those interested in Python development or expanding their Python skills
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