DevOps and Agile Practices for Python Projects

Building successful software requires a balance of clean code, efficient team collaboration, and automated delivery pipelines. This course provides a clear roadmap for managing the entire lifecycle of a Python project using industry-standard DevOps and Agile frameworks. You will move beyond simple script writing to understand how professional teams plan, execute, and maintain robust applications. Through this written curriculum, you will transition from a solo coder to a collaborative developer capable of contributing to high-stakes environments. You will learn how to align development goals with business needs while ensuring code quality through automation. What you'll learn: - Understand foundational Agile methodologies and Scrum frameworks for iterative development - Apply DevOps principles to automate Python testing and deployment workflows - Manage project dependencies and environments using modern packaging and virtual environment tools - Implement continuous integration patterns using automated testing with pytest - Structure Python codebases for scalability and maintainability in collaborative settings - Communicate technical requirements and progress effectively to stakeholders and clients The course begins with essential terminology and the core concepts of project management before exploring practical automation and team-based development strategies. This program is designed for beginner developers and aspiring leads who want to professionalize their workflow; no prior management experience is necessary. Begin your journey toward leading efficient and modern Python development projects.