Test-Driven Development (TDD) with Python Training Course

Test-Driven Development (TDD) with Python Training Course by Tonex

Tonex’s Test-Driven Development (TDD) with Python Training Course offers a comprehensive learning experience. Participants gain hands-on expertise in TDD principles and practices using Python. Tonex’s expert instructors guide students through real-world scenarios, enhancing their coding skills and fostering a deep understanding of TDD methodologies. Practical and engaging, this course propels developers towards mastery.

Learning Objectives:

• Understand the principles and advantages of Test-Driven Development (TDD) in Python software development.
• Learn how to write effective unit tests using Python’s built-in unittest framework and other testing libraries.
• Gain proficiency in implementing TDD techniques to create robust and maintainable Python code.
• Master the process of refactoring Python code while adhering to TDD practices.
• Develop the skills to seamlessly integrate TDD into Python software development workflows.

Audience: This course is designed for Python developers, software engineers, and programmers who want to enhance their proficiency in Test-Driven Development. It is suitable for participants with basic to intermediate knowledge of Python programming.

Course Modules:

Day 1: Introduction to Test-Driven Development in Python

Module 1: Understanding Test-Driven Development (TDD)

1. • Overview of TDD principles and its significance in Python development.
   • Benefits and challenges of adopting TDD in Python projects.

Module 2: Setting Up the Development Environment for TDD with Python

1. • Configuring Python development tools and testing frameworks (unittest, pytest).
   • Introduction to other Python testing libraries (e.g., nose, doctest).

Module 3: Writing r First Unit Test in Python

1. • Basics of writing unit tests using Python’s unittest framework.
   • Red-Green-Refactor cycle in the context of Python development.

Day 2: Advanced TDD Techniques and Implementation in Python

Module 4: Writing Effective Unit Tests for Python Code

• Best practices for organizing and structuring unit tests in Python.
• Techniques for testing Python code with dependencies (e.g., mocking).

Module 5: Refactoring Python Code with TDD

1. • Identifying and addressing code smells in Python codebases.
   • Applying refactoring techniques while practicing TDD.

Module 6: Integrating TDD into Python Development Workflows

1. • Strategies for incorporating TDD into Python software development processes (e.g., Agile).
   • Overcoming common challenges and misconceptions.
   • Case studies and examples of successful TDD adoption in Python projects.

Module 7: Best Practices and Conclusion

1. • Review of best practices for effective TDD in Python development.
   • Summary of key takeaways and next steps.
   • Q&A session and open discussion.

Delivery Format:

• Instructor-led training featuring a mix of lectures, live coding demonstrations, hands-on exercises, and interactive discussions.
• Practical coding exercises to reinforce TDD concepts using Python.
• Access to course materials and resources for further learning.

Prerequisites:

• Basic knowledge of Python programming language.
• Familiarity with fundamental software development concepts such as unit testing and refactoring.
• Participants should have access to their own development environment with Python installed, along with any desired testing frameworks, such as pytest.