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Behavior-driven Development (BDD) with pytest-bdd and Python
Chris Behrens
Chris Behrens
This course will teach you how to drive your Python code with super-high quality requirements developed with BDD techniques.
Read more
This course will teach you how to drive your Python code with super-high quality requirements developed with BDD techniques.
Read more
This course will teach you how to drive your Python code with super-high quality requirements developed with BDD techniques.
The maximum quality of any software process is always driven by the quality of the requirements - you can have outstanding developers and DevOps processes, and complete the wrong thing well if the requirements are not of equal quality. In this course, Behavior-driven Development (BDD) with pytest-bdd and Python, you’ll learn to use BDD to transform plain English requirements into unit tests and steps that drive your Python development. First, you’ll explore the Gherkin syntax for BDD. Next, you’ll discover pytest-bdd, the tool for implementing and automating the connection between your requirements and the code. Finally, you’ll learn how to use all this to drive execution of your code in a browser with Selenium. When you’re finished with this course, you’ll have the skills and knowledge of BDD Python needed to improve quality and velocity with your Python development.
Register for this course and see more details by visiting:
OpenCourser.com/course/nspln0/behavior
What's inside
Syllabus
Course Overview
Introduction to BDD and pytest-bdd
Setting up Your Environment
Getting Started with pytest-bdd
Read more
Syllabus
Course Overview
Introduction to BDD and pytest-bdd
Setting up Your Environment
Getting Started with pytest-bdd
Read more
Writing Effective Scenarios
Step Definitions and Python
Working with Data
Using More Advanced pytest-bdd Features
Reporting and Continuous Integration with Python and BDD
Best Practices and Tips
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches essential techniques for driving code development with high-quality requirements using BDD
Covers the common and effective Gherkin syntax for writing BDD requirements
Emphasizes code implementation and automation using pytest-bdd
Explores advanced pytest-bdd features for enhanced testing capabilities
Suitable for developers seeking to improve quality and velocity in Python development
Provides hands-on practice with Selenium for driving code execution in a browser
Save this course
Save Behavior-driven Development (BDD) with pytest-bdd and Python to your list so you can find it easily later:
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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 Behavior-driven Development (BDD) with pytest-bdd and Python with these
activities:
Review Gherkin syntax
Show steps
Review Gherkin syntax to solidify foundational understanding of requirements.
Browse courses on
Gherkin
Show steps
-
Read the official Gherkin documentation
-
Review examples of Gherkin syntax
-
Practice writing Gherkin scenarios
Gather course materials
Show steps
Get a jumpstart on course materials by gathering the syllabus, assignments, and lecture notes.
Show steps
-
Obtain the course syllabus or materials list
-
Download or print necessary textbooks and articles
-
Create folders or a binder to organize materials
-
Set up a system for note-taking and storing class materials
Review unit testing
Show steps
Review unit testing to build a stronger foundation for understanding BDD and pytest-bdd.
Browse courses on
Unit Testing
Show steps
-
Review the concepts of unit testing
-
Practice writing unit tests for a simple Python function
-
Consider using a unit testing framework like unittest or pytest
14 other activities
Expand to see all activities and additional details
Show all 17 activities
BDD Workshop
Show steps
Become familiar with the BDD workflow and syntax in order to prepare for this course.
Browse courses on
BDD
Show steps
-
Enroll in an online BDD workshop or tutorial.
-
Complete the workshop or tutorial.
-
Practice writing Gherkin scenarios.
Follow pytest-bdd tutorials
Show steps
Follow guided tutorials to better understand pytest-bdd and its usage.
Show steps
-
Identify a tutorial that covers the basics of pytest-bdd
-
Go through the tutorial step-by-step
-
Experiment with the concepts learned in the tutorial
Review Python basics
Show steps
Strengthen Python skills to enhance foundation for the course.
Browse courses on
Python
Show steps
-
Review Python syntax and data structures
-
Practice writing simple Python functions
-
Solve small Python coding challenges
BDD Resources
Show steps
Consolidate and refine your knowledge by organizing and reviewing relevant materials.
Browse courses on
BDD
Show steps
-
Gather links to documentation, tutorials, and articles on BDD.
-
Create a repository to store and share your resources.
Explore pytest-bdd documentation
Show steps
Get familiar with the pytest-bdd documentation to better understand its features and capabilities.
Show steps
-
Review the pytest-bdd documentation
-
Follow along with the pytest-bdd tutorials
Explore Python BDD resources
Show steps
Solidify understanding of BDD and Python by following tutorials to practice concepts.
Show steps
-
Find online tutorials on pytest-bdd and Python BDD
-
Follow along with the tutorials
-
Practice writing BDD scenarios and step definitions
Practice writing BDD scenarios
Show steps
Practice writing BDD scenarios in Gherkin syntax to improve understanding of BDD and pytest-bdd.
Browse courses on
Gherkin Syntax
Show steps
-
Review the Gherkin syntax for BDD
-
Write BDD scenarios for a simple Python function
-
Consider using a BDD framework like pytest-bdd
Discuss BDD and pytest-bdd with peers
Show steps
Engage with peers to discuss BDD and pytest-bdd, sharing perspectives and learning from others' experiences.
Show steps
-
Join or start a discussion group focused on BDD with Python
-
Actively participate in discussions, asking questions and sharing insights
Attend a Python BDD study group
Show steps
Collaborate and learn with peers to enhance understanding and application of BDD in Python.
Show steps
-
Find or create a study group focused on Python BDD
-
Meet regularly to discuss concepts and work on exercises
-
Share knowledge and support each other's learning
BDD Exercise
Show steps
Put your understanding of BDD into practice and gain proficiency in using its tools and techniques.
Browse courses on
BDD
Show steps
-
Design a set of Gherkin scenarios.
-
Implement the scenarios using pytest-bdd.
-
Automate test execution.
-
Review and improve your code.
Create a Python BDD project
Show steps
Create a Python BDD project to apply and reinforce concepts learned in the course.
Show steps
-
Choose a practical use case
-
Set up a new Python project
-
Implement BDD features
-
Write unit tests using pytest-bdd
BDD Mentorship
Show steps
Contribute to the community and reinforce your understanding by helping others.
Browse courses on
BDD
Show steps
-
Identify a mentee seeking guidance in BDD.
-
Provide regular mentorship and support.
Create BDD scenarios and tests
Show steps
Enhance proficiency in BDD by actively creating and executing scenarios and tests.
Show steps
-
Identify a small feature or user story
-
Write BDD scenarios using Gherkin syntax
-
Implement corresponding step definitions in Python
-
Run the tests and debug any failures
Build a small Python application using BDD
Show steps
Apply BDD principles to a real-world application, solidifying understanding and demonstrating proficiency.
Show steps
-
Identify a small Python project idea
-
Design the application and write BDD scenarios
-
Develop the application step-by-step, driven by BDD scenarios
-
Test the application thoroughly using pytest-bdd
Review Gherkin syntax
Show steps
Review Gherkin syntax to solidify foundational understanding of requirements.
Browse courses on
Gherkin
Show steps
Show steps
Show steps
- Read the official Gherkin documentation
- Review examples of Gherkin syntax
- Practice writing Gherkin scenarios
Gather course materials
Show steps
Get a jumpstart on course materials by gathering the syllabus, assignments, and lecture notes.
Show steps
Show steps
Show steps
- Obtain the course syllabus or materials list
- Download or print necessary textbooks and articles
- Create folders or a binder to organize materials
- Set up a system for note-taking and storing class materials
Review unit testing
Show steps
Review unit testing to build a stronger foundation for understanding BDD and pytest-bdd.
Browse courses on
Unit Testing
Show steps
Show steps
Show steps
- Review the concepts of unit testing
- Practice writing unit tests for a simple Python function
- Consider using a unit testing framework like unittest or pytest
14 other activities
Expand to see all activities and additional details
Show all 17 activities
BDD Workshop
Show steps
Become familiar with the BDD workflow and syntax in order to prepare for this course.
Browse courses on
BDD
Show steps
Show steps
Show steps
- Enroll in an online BDD workshop or tutorial.
- Complete the workshop or tutorial.
- Practice writing Gherkin scenarios.
Follow pytest-bdd tutorials
Show steps
Follow guided tutorials to better understand pytest-bdd and its usage.
Show steps
Show steps
Show steps
- Identify a tutorial that covers the basics of pytest-bdd
- Go through the tutorial step-by-step
- Experiment with the concepts learned in the tutorial
Review Python basics
Show steps
Strengthen Python skills to enhance foundation for the course.
Browse courses on
Python
Show steps
Show steps
Show steps
- Review Python syntax and data structures
- Practice writing simple Python functions
- Solve small Python coding challenges
BDD Resources
Show steps
Consolidate and refine your knowledge by organizing and reviewing relevant materials.
Browse courses on
BDD
Show steps
Show steps
Show steps
- Gather links to documentation, tutorials, and articles on BDD.
- Create a repository to store and share your resources.
Explore pytest-bdd documentation
Show steps
Get familiar with the pytest-bdd documentation to better understand its features and capabilities.
Show steps
Show steps
Show steps
- Review the pytest-bdd documentation
- Follow along with the pytest-bdd tutorials
Explore Python BDD resources
Show steps
Solidify understanding of BDD and Python by following tutorials to practice concepts.
Show steps
Show steps
Show steps
- Find online tutorials on pytest-bdd and Python BDD
- Follow along with the tutorials
- Practice writing BDD scenarios and step definitions
Practice writing BDD scenarios
Show steps
Practice writing BDD scenarios in Gherkin syntax to improve understanding of BDD and pytest-bdd.
Browse courses on
Gherkin Syntax
Show steps
Show steps
Show steps
- Review the Gherkin syntax for BDD
- Write BDD scenarios for a simple Python function
- Consider using a BDD framework like pytest-bdd
Discuss BDD and pytest-bdd with peers
Show steps
Engage with peers to discuss BDD and pytest-bdd, sharing perspectives and learning from others' experiences.
Show steps
Show steps
Show steps
- Join or start a discussion group focused on BDD with Python
- Actively participate in discussions, asking questions and sharing insights
Attend a Python BDD study group
Show steps
Collaborate and learn with peers to enhance understanding and application of BDD in Python.
Show steps
Show steps
Show steps
- Find or create a study group focused on Python BDD
- Meet regularly to discuss concepts and work on exercises
- Share knowledge and support each other's learning
BDD Exercise
Show steps
Put your understanding of BDD into practice and gain proficiency in using its tools and techniques.
Browse courses on
BDD
Show steps
Show steps
Show steps
- Design a set of Gherkin scenarios.
- Implement the scenarios using pytest-bdd.
- Automate test execution.
- Review and improve your code.
Create a Python BDD project
Show steps
Create a Python BDD project to apply and reinforce concepts learned in the course.
Show steps
Show steps
Show steps
- Choose a practical use case
- Set up a new Python project
- Implement BDD features
- Write unit tests using pytest-bdd
BDD Mentorship
Show steps
Contribute to the community and reinforce your understanding by helping others.
Browse courses on
BDD
Show steps
Show steps
Show steps
- Identify a mentee seeking guidance in BDD.
- Provide regular mentorship and support.
Create BDD scenarios and tests
Show steps
Enhance proficiency in BDD by actively creating and executing scenarios and tests.
Show steps
Show steps
Show steps
- Identify a small feature or user story
- Write BDD scenarios using Gherkin syntax
- Implement corresponding step definitions in Python
- Run the tests and debug any failures
Build a small Python application using BDD
Show steps
Apply BDD principles to a real-world application, solidifying understanding and demonstrating proficiency.
Show steps
Show steps
Show steps
- Identify a small Python project idea
- Design the application and write BDD scenarios
- Develop the application step-by-step, driven by BDD scenarios
- Test the application thoroughly using pytest-bdd
Career center
Learners who complete Behavior-driven Development (BDD) with pytest-bdd and Python will develop knowledge and skills
that may be useful to these careers:
Quality Assurance Analyst
Quality Assurance Analyst
A Quality Assurance Analyst is in charge of assuring the caliber of a company's software. The role of BDD in quality assurance is covered in this course, which is crucial for assuring high-quality software. This course is highly suggested if you want to work as a Quality Assurance Analyst.
Software Tester
Software Tester
A Software Tester is in charge of ensuring that a company's software functions as intended. In software testing, BDD is a common technique. You will discover how to improve your testing procedures with this course. Especially if you want to work as a Software Tester, this course is strongly suggested.
Software Engineer
Software Engineer
BDD, the method this course teaches, is frequently employed by Software Engineers to ensure the high quality of their products. For this kind of work, understanding how to create high-quality requirements is essential. You will learn to make the change from unclear English requirements to specific, testable conditions with this course's help. This course is highly suggested if you desire a profession that combines creativity with technical expertise and pays well.
Product Manager
Product Manager
A Product Manager is in charge of defining a product's vision and ensuring that it is effectively implemented throughout the creation process. A solid foundation in specifying needs is necessary for a Product Manager. This course will help you build that foundation and improve your ability to work with software engineers and designers.
Business Analyst
Business Analyst
A Business Analyst is in charge of comprehending and analyzing business needs in order to offer advice on how to improve operations. Requirements gathering is a key element of business analysis. This course will help you gather requirements more effectively and become more successful in your role as a Business Analyst.
Technical Writer
Technical Writer
A Technical Writer is in charge of writing clear, understandable instructions and documentation for a variety of technical goods and services. A good requirement is essential for producing high-quality documentation. You will gain the abilities necessary to compose high-quality requirements and documentation with the aid of this course, which will improve your work as a Technical Writer.
Project Manager
Project Manager
A Project Manager is in charge of overseeing a project's planning, execution, and completion. You will learn how to efficiently manage software development projects with the use of BDD in this course. This course is highly suggested if you want to work as a Project Manager in the software development industry.
Systems Analyst
Systems Analyst
A Systems Analyst is in charge of analyzing, designing, and implementing computer systems. You will acquire the skills necessary to create high-quality software systems with the aid of this course, which covers BDD for software development. This course is strongly recommended if you want to work as a Systems Analyst in the software engineering sector.
Software Architect
Software Architect
A Software Architect is in charge of designing, creating, and implementing software systems. BDD is a crucial skill for software architects since it helps to ensure that software systems are of great quality. This course will help you understand BDD and how to use it in your work as a Software Architect.
Data Analyst
Data Analyst
A Data Analyst is in charge of gathering, cleaning, and analyzing data. To effectively analyze data, a solid foundation in data collection is essential. This course will give you the knowledge and abilities you need to succeed as a Data Analyst by teaching you how to produce high-quality data requirements.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer is in charge of developing and deploying machine learning models. Machine learning models rely heavily on high-quality data requirements. This course will teach you how to build high-quality data requirements using BDD, which will help you succeed as a Machine Learning Engineer.
Data Scientist
Data Scientist
A Data Scientist is in charge of developing and applying mathematical and statistical models to data. The ability to build high-quality data requirements is essential for data science. This course will help you develop the skills you need to be successful as a Data Scientist by teaching you how to create high-quality data requirements using BDD.
Database Administrator
Database Administrator
A Database Administrator is in charge of designing, implementing, and maintaining databases. Database design heavily relies on high-quality data requirements. This course will help you build high-quality data requirements using BDD, which will help you succeed as a Database Administrator.
Network Engineer
Network Engineer
A Network Engineer is in charge of designing, implementing, and maintaining computer networks. The ability to define network requirements is essential for network engineering. This course will help you build high-quality network requirements using BDD, which will help you succeed as a Network Engineer.
Information Security Analyst
Information Security Analyst
An Information Security Analyst is in charge of safeguarding computer systems and networks from unauthorized access. The ability to define security requirements is essential for information security. This course will help you build high-quality security requirements using BDD, which will help you succeed as an Information Security Analyst.
For more career information including salaries, visit:
OpenCourser.com/course/nspln0/behavior
Reading list
We've selected 12 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
Behavior-driven Development (BDD) with pytest-bdd and Python.
Save
"The Cucumber Book: Behaviour-Driven Development for Testers and Developers" comprehensive guide to BDD, providing a theoretical background and practical examples. It's a valuable reference for understanding the concepts and best practices of BDD.
"The Pragmatic Programmer: From Journeyman to Master" provides practical advice and best practices for software development. It offers valuable insights into the mindset and skills required to become an effective and pragmatic programmer.
"Specification by Example: How Successful Teams Deliver the Right Software" explores the principles and practices of BDD, emphasizing the importance of clear and concise requirements. It's a helpful resource for understanding the broader context and benefits of BDD.
"BDD in Action" provides a practical guide to BDD, with a focus on real-world examples and case studies. It's a valuable resource for understanding how BDD can be applied in various contexts.
Save
"Design Patterns: Elements of Reusable Object-Oriented Software" provides a comprehensive catalog of design patterns, which are proven solutions to common software design problems. It's a valuable reference for understanding how to design and implement effective object-oriented code.
"Head First Design Patterns" provides a beginner-friendly introduction to design patterns. It's a useful resource for understanding the fundamental concepts and applying them in practice.
"Growing Object-Oriented Software, Guided by Tests" provides a solid foundation in test-driven development (TDD), which is closely related to BDD and can enhance understanding of the principles involved.
Save
"Clean Architecture: A Craftsman's Guide to Software Structure and Design" provides a comprehensive approach to software design and architecture. It offers valuable insights into best practices and principles that can enhance the quality and maintainability of code.
"Agile Testing: A Practical Guide for Testers and Agile Teams" provides a comprehensive overview of agile testing practices, including BDD. It's a useful resource for understanding how BDD fits into agile methodologies.
Save
"Continuous Integration: Patterns and Practices" provides a comprehensive overview of continuous integration (CI) practices, including the use of BDD for automated testing and feedback.
Save
"Behavior-Driven Development with Cucumber in Ruby" focuses on using Cucumber, a popular BDD framework in Ruby. While it's specific to Ruby, it provides valuable insights into the principles and practices of BDD that can be applied to pytest-bdd.
"Domain-Driven Design: Tackling Complexity in the Heart of Software" offers a comprehensive approach to software design, emphasizing the importance of understanding the domain and modeling it effectively. It provides valuable insights into the challenges of building complex systems.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/nspln0/behavior
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Time
143 hours
Level
Intermediate
Via
Pluralsight
Instructor
Chris Behrens
Language
English
Good to know
Teaches essential techniques for driving code development with high-quality requirements using BDD
Covers the common and effective Gherkin syntax for writing BDD requirements
Emphasizes code implementation and automation using pytest-bdd
Explores advanced pytest-bdd features for enhanced testing capabilities
Suitable for developers seeking to improve quality and velocity in Python development
Provides hands-on practice with Selenium for driving code execution in a browser
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