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Sherif A. Tawfik Abbas
In this 1-hour long project-based course, you will learn how to you can use coverage.py to ensure that every bit of your python code is covered by a test - hence the name coverage.py. You will create test functions for a python class, one method and a time....
Read more
In this 1-hour long project-based course, you will learn how to you can use coverage.py to ensure that every bit of your python code is covered by a test - hence the name coverage.py. You will create test functions for a python class, one method and a time....
Read more
In this 1-hour long project-based course, you will learn how to you can use coverage.py to ensure that every bit of your python code is covered by a test - hence the name coverage.py. You will create test functions for a python class, one method and a time. At each step, you will learn how to cover different aspects of your code and use the cool web interface of coverage.py to monitor your progress.
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/jmgze7/enhance
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Taught by Sherif A. Tawfik Abbas, who are experts in their field, ensuring learners will receive up-to-date, evidence-based knowledge and skills.
Explores coverage.py, a standard tool in the Python industry to ensure code test coverage
Teaches how to write test functions for different aspects of Python code, strengthening students' testing skills
Utilizes an interactive web interface to monitor code coverage, providing visual feedback for easy understanding
Suitable for beginners seeking to strengthen their understanding of code testing and coverage
Students must be familiar with Python programming prior to enrolling in this course
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Activities
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your course. Deepen your understanding
during
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after
it. Supplement your coursework and achieve mastery of the topics covered
in Enhance your python unit testing using Coverage with these
activities:
Review Python Basics
Show steps
Reviewing Python basics will help you refresh your memory on the core concepts of the language. This will make it easier to follow along with the course material and complete the assignments.
Browse courses on
Python Basics
Show steps
-
Review the Python documentation.
-
Complete some online Python tutorials.
-
Work through some simple Python exercises.
Create a Study Guide
Show steps
Creating a study guide will help you organize your notes and identify the key concepts that you need to know for the course. This will help you focus your studying and improve your retention.
Show steps
-
Review your notes and identify the key concepts.
-
Organize your notes into a logical order.
-
Summarize the key concepts in your own words.
Follow a Python Testing Tutorial
Show steps
Following a Python testing tutorial will help you learn the basics of unit testing and how to use coverage.py. This will help you write more robust and reliable code.
Browse courses on
Unit Testing
Show steps
-
Find a Python testing tutorial that is appropriate for your level of experience.
-
Follow the tutorial and complete all of the exercises.
-
Apply what you have learned to your own code.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Practice Writing Test Functions
Show steps
Writing test functions for your code helps you think through all the different scenarios that your code needs to handle. This will help you write more robust and reliable code.
Browse courses on
Unit Testing
Show steps
-
Choose a small function to test.
-
Write a test function that calls the function and checks the output.
-
Run the test function and make sure it passes.
Practice using coverage.py
Show steps
Improve your understanding of coverage.py by practicing writing unit tests and following the results.
Show steps
-
Write test functions for the python class
-
Test a method
-
Test time
-
Review the results in the web interface
Practice Using Coverage.py
Show steps
Coverage.py will help you visualize which parts of your code are covered by your tests. This will help you identify any gaps in your test coverage.
Browse courses on
Unit Testing
Show steps
-
Install coverage.py.
-
Run coverage.py on your code.
-
Examine the coverage report and identify any areas that are not covered by your tests.
Join a Study Group
Show steps
Joining a study group will give you the opportunity to discuss the course material with other students and get help from your peers. This can help you understand the material more deeply and improve your overall performance.
Show steps
-
Find a study group that meets your needs.
-
Attend the study group meetings regularly.
-
Participate actively in the discussions.
Contribute to an Open Source Project
Show steps
Contributing to an open source project will give you the opportunity to apply your skills to a real-world project. This can help you learn new skills and gain experience in a collaborative environment.
Browse courses on
Unit Testing
Show steps
-
Find an open source project that you are interested in contributing to.
-
Read the project documentation and familiarize yourself with the codebase.
-
Identify an area where you can contribute and create a pull request.
Review Python Basics
Show steps
Reviewing Python basics will help you refresh your memory on the core concepts of the language. This will make it easier to follow along with the course material and complete the assignments.
Browse courses on
Python Basics
Show steps
Show steps
Show steps
- Review the Python documentation.
- Complete some online Python tutorials.
- Work through some simple Python exercises.
Create a Study Guide
Show steps
Creating a study guide will help you organize your notes and identify the key concepts that you need to know for the course. This will help you focus your studying and improve your retention.
Show steps
Show steps
Show steps
- Review your notes and identify the key concepts.
- Organize your notes into a logical order.
- Summarize the key concepts in your own words.
Follow a Python Testing Tutorial
Show steps
Following a Python testing tutorial will help you learn the basics of unit testing and how to use coverage.py. This will help you write more robust and reliable code.
Browse courses on
Unit Testing
Show steps
Show steps
Show steps
- Find a Python testing tutorial that is appropriate for your level of experience.
- Follow the tutorial and complete all of the exercises.
- Apply what you have learned to your own code.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Practice Writing Test Functions
Show steps
Writing test functions for your code helps you think through all the different scenarios that your code needs to handle. This will help you write more robust and reliable code.
Browse courses on
Unit Testing
Show steps
Show steps
Show steps
- Choose a small function to test.
- Write a test function that calls the function and checks the output.
- Run the test function and make sure it passes.
Practice using coverage.py
Show steps
Improve your understanding of coverage.py by practicing writing unit tests and following the results.
Show steps
Show steps
Show steps
- Write test functions for the python class
- Test a method
- Test time
- Review the results in the web interface
Practice Using Coverage.py
Show steps
Coverage.py will help you visualize which parts of your code are covered by your tests. This will help you identify any gaps in your test coverage.
Browse courses on
Unit Testing
Show steps
Show steps
Show steps
- Install coverage.py.
- Run coverage.py on your code.
- Examine the coverage report and identify any areas that are not covered by your tests.
Join a Study Group
Show steps
Joining a study group will give you the opportunity to discuss the course material with other students and get help from your peers. This can help you understand the material more deeply and improve your overall performance.
Show steps
Show steps
Show steps
- Find a study group that meets your needs.
- Attend the study group meetings regularly.
- Participate actively in the discussions.
Contribute to an Open Source Project
Show steps
Contributing to an open source project will give you the opportunity to apply your skills to a real-world project. This can help you learn new skills and gain experience in a collaborative environment.
Browse courses on
Unit Testing
Show steps
Show steps
Show steps
- Find an open source project that you are interested in contributing to.
- Read the project documentation and familiarize yourself with the codebase.
- Identify an area where you can contribute and create a pull request.
Career center
Learners who complete Enhance your python unit testing using Coverage will develop knowledge and skills
that may be useful to these careers:
Quality Assurance Analyst
Quality Assurance Analyst
This course is designed to help you write better unit tests for your Python code. Unit tests are small, focused tests that verify the behavior of individual functions or methods in your code. By writing unit tests, you can catch bugs early in the development process and ensure that your code is working as expected. This course is especially relevant for Quality Assurance Analysts who want to improve their testing skills and write more reliable code.
Software Developer
Software Developer
This course is designed to help you write better unit tests for your Python code. Unit tests are small, focused tests that verify the behavior of individual functions or methods in your code. By writing unit tests, you can catch bugs early in the development process and ensure that your code is working as expected. This course is especially relevant for Software Developers who want to improve their testing practices and write more reliable code.
Software Test Engineer
Software Test Engineer
This course is designed to help you write better unit tests for your Python code. Unit tests are small, focused tests that verify the behavior of individual functions or methods in your code. By writing unit tests, you can catch bugs early in the development process and ensure that your code is working as expected. This course is especially relevant for Software Test Engineers who want to improve their testing skills and write more reliable code.
Engineering Manager
Engineering Manager
This course is designed to help you write better unit tests for your Python code. Unit tests are small, focused tests that verify the behavior of individual functions or methods in your code. By writing unit tests, you can catch bugs early in the development process and ensure that your code is working as expected. This course is especially relevant for Engineering Managers who want to improve their testing skills and write more reliable code.
Technical Lead
Technical Lead
This course is designed to help you write better unit tests for your Python code. Unit tests are small, focused tests that verify the behavior of individual functions or methods in your code. By writing unit tests, you can catch bugs early in the development process and ensure that your code is working as expected. This course is especially relevant for Technical Leads who want to improve their testing skills and write more reliable code.
Software Architect
Software Architect
This course is designed to help you write better unit tests for your Python code. Unit tests are small, focused tests that verify the behavior of individual functions or methods in your code. By writing unit tests, you can catch bugs early in the development process and ensure that your code is working as expected. This course is especially relevant for Software Architects who want to improve their testing skills and write more reliable code.
Data Scientist
Data Scientist
This course is designed to help you write better unit tests for your Python code. Unit tests are small, focused tests that verify the behavior of individual functions or methods in your code. By writing unit tests, you can catch bugs early in the development process and ensure that your code is working as expected. This course is especially relevant for Data Scientists who want to improve their testing skills and write more reliable code.
Mobile Developer
Mobile Developer
This course is designed to help you write better unit tests for your Python code. Unit tests are small, focused tests that verify the behavior of individual functions or methods in your code. By writing unit tests, you can catch bugs early in the development process and ensure that your code is working as expected. This course is especially relevant for Mobile Developers who want to improve their testing skills and write more reliable code.
UX Designer
UX Designer
This course is designed to help you write better unit tests for your Python code. Unit tests are small, focused tests that verify the behavior of individual functions or methods in your code. By writing unit tests, you can catch bugs early in the development process and ensure that your code is working as expected. This course is especially relevant for UX Designers who want to improve their testing skills and write more reliable code.
Business Analyst
Business Analyst
This course is designed to help you write better unit tests for your Python code. Unit tests are small, focused tests that verify the behavior of individual functions or methods in your code. By writing unit tests, you can catch bugs early in the development process and ensure that your code is working as expected. This course is especially relevant for Business Analysts who want to improve their testing skills and write more reliable code.
Data Analyst
Data Analyst
This course is designed to help you write better unit tests for your Python code. Unit tests are small, focused tests that verify the behavior of individual functions or methods in your code. By writing unit tests, you can catch bugs early in the development process and ensure that your code is working as expected. This course is especially relevant for Data Analysts who want to improve their testing skills and write more reliable code.
Web Developer
Web Developer
This course is designed to help you write better unit tests for your Python code. Unit tests are small, focused tests that verify the behavior of individual functions or methods in your code. By writing unit tests, you can catch bugs early in the development process and ensure that your code is working as expected. This course is especially relevant for Web Developers who want to improve their testing skills and write more reliable code.
Product Manager
Product Manager
This course is designed to help you write better unit tests for your Python code. Unit tests are small, focused tests that verify the behavior of individual functions or methods in your code. By writing unit tests, you can catch bugs early in the development process and ensure that your code is working as expected. This course is especially relevant for Product Managers who want to improve their testing skills and write more reliable code.
DevOps Engineer
DevOps Engineer
This course is designed to help you write better unit tests for your Python code. Unit tests are small, focused tests that verify the behavior of individual functions or methods in your code. By writing unit tests, you can catch bugs early in the development process and ensure that your code is working as expected. This course is especially relevant for DevOps Engineers who want to improve their testing skills and write more reliable code.
Project Manager
Project Manager
This course is designed to help you write better unit tests for your Python code. Unit tests are small, focused tests that verify the behavior of individual functions or methods in your code. By writing unit tests, you can catch bugs early in the development process and ensure that your code is working as expected. This course is especially relevant for Project Managers who want to improve their testing skills and write more reliable code.
For more career information including salaries, visit:
OpenCourser.com/course/jmgze7/enhance
Reading list
We've selected 14 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
Enhance your python unit testing using Coverage.
Provides a comprehensive overview of unit testing in Python, covering both the basics and advanced techniques. It would be a good reference for those who want to go deeper into topics like mocking and testing frameworks.
Introduces the concepts and benefits of test-driven development (TDD) in Python. While the course focuses on unit testing, TDD broader approach to software development that can enhance the quality of your code.
Focuses on beginner-friendly test-driven development, with step-by-step instructions on how to write tests and gain confidence in code improvements; however, it does not provide in-depth coverage of coverage.py.
Focuses on using pytest, a popular and powerful unit testing framework for Python. While the course uses Coverage.py, pytest good alternative for those who prefer a different approach to unit testing.
Save
Focuses solely on Python unit testing, providing detailed explanations and examples on how to write effective tests, but not on coverage.py.
Classic in the software development community and provides valuable insights into best practices and principles. While it doesn't cover unit testing specifically, it would be a beneficial read for anyone interested in improving their software development skills.
Save
Presents a catalog of design patterns, which are general solutions to common software design problems. While not directly related to unit testing, understanding design patterns can help you write more flexible and reusable code.
Save
Provides a gentle introduction to Python programming, covering the basics of the language. While the course assumes some familiarity with Python, this book would be a useful resource for those who need a refresher or want to strengthen their foundational knowledge.
Offers a fast-paced introduction to Python, covering a wide range of topics. It would be a good option for those who want to quickly get up to speed with the basics of Python.
Teaches Python through practical projects and examples. While it doesn't focus on unit testing, it would be a valuable resource for those who want to learn more about Python's capabilities and how to use it for practical tasks.
Takes a no-nonsense approach to learning Python, with a focus on practical exercises. While it doesn't cover unit testing specifically, it would be a good resource for those who want a thorough understanding of the Python language.
Save
Serves as a comprehensive reference for Python, covering the language's syntax, semantics, and built-in functions. While it doesn't focus on unit testing, it would be a valuable resource for those who want to deepen their understanding of Python.
Classic work on test-driven development (TDD), a software development approach that emphasizes writing tests before writing code. While the course focuses on unit testing, TDD broader approach to software development that can enhance the quality of your code.
Save
Provides a comprehensive guide to writing clean and maintainable code. While it doesn't cover unit testing specifically, it would be a valuable resource for those who want to improve the quality and readability of their code.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/jmgze7/enhance
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Time
2 hours
Via
Coursera
Institution
Coursera Project Network
Instructor
Sherif A. Tawfik Abbas
Good to know
Taught by Sherif A. Tawfik Abbas, who are experts in their field, ensuring learners will receive up-to-date, evidence-based knowledge and skills.
Explores coverage.py, a standard tool in the Python industry to ensure code test coverage
Teaches how to write test functions for different aspects of Python code, strengthening students' testing skills
Utilizes an interactive web interface to monitor code coverage, providing visual feedback for easy understanding
Suitable for beginners seeking to strengthen their understanding of code testing and coverage
Students must be familiar with Python programming prior to enrolling in this course
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