Agile Software Development With Python Tdd And Bdd Course Syllabus

Overview: This course provides a comprehensive introduction to Agile software development using Python, with a strong emphasis on Test-Driven Development (TDD) and Behavior-Driven Development (BDD). Through hands-on labs, real-world case studies, and practical assessments, learners will build and test scalable Python applications while following Agile methodologies. The course spans approximately 15-20 hours across six modules, designed for intermediate learners seeking to improve code quality, testing practices, and development workflows.

Module 1: Development Environment & Tools

Estimated time: 4 hours

• Review of tools and frameworks used in Agile development
• Setting up a Python development environment
• Introduction to version control with Git
• Configuring IDEs and testing frameworks

Module 2: Core Programming Concepts

Estimated time: 3 hours

• Introduction to core programming concepts in Python
• Applying object-oriented and functional programming paradigms
• Writing clean, testable code
• Hands-on exercises with core Python techniques

Module 3: Data Structures & Algorithms

Estimated time: 2 hours

• Implementing common data structures in Python
• Algorithm design and efficiency best practices
• Testing algorithms using unit tests

Module 4: Application Architecture

Estimated time: 2 hours

• Designing modular application architecture
• Case study analysis of real-world Python applications
• Applying software design patterns and principles

Module 5: Testing & Quality Assurance

Estimated time: 4 hours

• Introduction to TDD and BDD in Python
• Implementing unit, integration, and end-to-end tests
• Using testing frameworks like pytest and behave
• Best practices in test automation and quality assurance

Module 6: Deployment & DevOps

Estimated time: 3 hours

• Building CI/CD pipelines for automated testing
• Deploying Python applications with DevOps tools
• Integrating version control and testing into workflows

Prerequisites

• Basic knowledge of Python programming
• Familiarity with fundamental programming concepts
• Experience with command-line tools and text editors

What You'll Be Able to Do After

• Apply Agile methodologies to software development projects
• Write testable, maintainable Python code using TDD and BDD
• Implement automated testing strategies across development stages
• Design and deploy robust Python applications using CI/CD
• Improve code quality and collaboration in team environments