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)
- 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
- 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
- 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
- Identifying and addressing code smells in Python codebases.
- Applying refactoring techniques while practicing TDD.
Module 6: Integrating TDD into Python Development Workflows
- 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
- 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.