About
This course is structured to take you from Python fundamentals to advanced software engineering concepts, ensuring you write clean, scalable, and Pythonic code. Cover hand-on use cases in generative AI, data handling, DevOps and cloud deployment. Zoom Link: https://us06web.zoom.us/j/89932896615?pwd=cn01kNOybnp3i8nfwivA8ru1kRoEzO.1 ā Level 1: Getting Started with Python š¹ Introduction to Python & Its Ecosystem š¹ Setting Up Your Python Development Environment š¹ Python Basics ā Level 2: Pythonic Principles & Writing Clean Code š¹ Pythonic Thinking & Best Practices š¹ Error Handling & Debugging š¹ Modern Python Features ā Level 3: Advanced Python Concepts š¹ Generators & Iterators š¹ Working with itertools š¹ Object-Oriented Programming & Introduction to Design Patterns Class ā Level 4: Asynchronous & Parallel Processing š¹ Concurrency vs. Parallelism š¹ AsyncIO: Writing Non-Blocking Code š¹ Multiprocessing & Threading ā Level 5: Working with Data ā NumPy & Pandas š¹ Efficient Data Handling with NumPy š¹ Data Processing with Pandas ā Level 6: Building CLI Tools & Automation š¹ Creating Command-Line Tools in Python š¹ Building Serverless Cloud Functions ā Level 7: Software Engineering & DevOps with Python š¹ Version Control with Git & GitHub š¹ Setting Up a Professional Python Workspace š¹ Dockerizing Python Applications š¹ CI/CD & Deployment š» Final Project & Capstone šÆ Project: Build a Production-Ready Python Application Apply clean coding, async programming, CLI tools, Docker, and deployment Code review and best practices checklist Showcasing your work on GitHub & portfolio š Who Should Take This Course? ā Beginner Python developers looking to write better, more efficient code ā Software engineers aiming for scalability and maintainability ā Data professionals who want to optimise Python script ā Anyone who wants to go from basic Python to production-ready development
This program is connected to a group. Youāll be added once you join the program.