Executive Development Programme in Continuous Integration for Python Projects: Hands-On

This course is tailored for mid-to-senior level Python developers and team leaders aiming to enhance their skills in continuous integration (CI) for Python projects. Participants will gain practical knowledge in setting up CI pipelines, automating testing, and integrating with version control systems to streamline development and deployment processes.

By the end, attendees will be able to implement CI best practices, reduce development cycles, and improve software quality through hands-on exercises and real-world case studies.

1. 1. Introduction to Continuous Integration (CI): Learners will understand the principles of CI, its benefits for Python projects, and how it integrates with version control systems. They will gain hands-on experience setting up a CI pipeline using a popular CI tool.
2. 2. Version Control with Git: This module covers the fundamentals of Git, including branching, merging, and tagging, essential for effective team collaboration and project management. Learners will practice creating and managing branches, and applying Git best practices.
3. 3. Python Testing Fundamentals: Learners will learn about essential testing techniques for Python, such as unit testing, integration testing, and test-driven development. They will write and run tests using frameworks like PyTest and understand how to integrate them into a CI pipeline.
4. 4. Setting Up a CI Pipeline for Python: This module guides learners through the process of setting up a CI pipeline for a Python project, from defining build steps to configuring deployment strategies. Practical exercises include configuring Jenkins, Travis CI, or GitHub Actions.
5. 5. Automated Testing in CI: Learners will delve into automated testing strategies within CI, focusing on continuous testing and its role in ensuring code quality. They will write and automate tests using tools like PyTest and integrate them into their CI workflows.
6. 6. Code Quality and Linting: This module covers the importance of code quality and the use of linters in Python projects. Learners will learn to use tools like Flake8 and Black to maintain clean, readable code and integrate them into their CI pipelines for automated code quality checks.
7. 7. Security in CI for Python Projects: Learners will explore security best practices in CI, including code scanning, dependency management, and secure coding guidelines. Practical exercises involve using tools like Bandit and Snyk to detect security vulnerabilities in Python projects.
8. 8. Advanced CI Strategies: This module introduces advanced CI strategies, such as parallel builds, caching, and custom plugins. Learners will apply these strategies to optimize their CI pipelines for efficiency and performance.
9. 9. Deployment Strategies with CI: Learners will learn various deployment strategies, including containerization with Docker and orchestration with Kubernetes. They will practice deploying Python applications to cloud platforms like AWS, GCP, or Azure.
10. 10. Continuous Delivery and Best Practices: This final module covers continuous delivery principles and best practices, focusing on automating the entire software delivery process. Learners will plan and execute a full CI/CD pipeline for a Python project, ensuring smooth and reliable software releases.