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 ✅ Level 1: Getting Started with Python 🔹 Introduction to Python & Its Ecosystem 🔹 Setting Up Your Python Development Environment 🔹 Python Basics ✅ Level 2: Pythonic Principles & Writing Clean Code 🔹 Pythonic Thinking & Best Practices 🔹 Error Handling & Debugging 🔹 Modern Python Features ✅ Level 3: Advanced Python Concepts 🔹 Generators & Iterators 🔹 Working with itertools 🔹 Object-Oriented Programming & Introduction to Design Patterns Class ✅ Level 4: Asynchronous & Parallel Processing 🔹 Concurrency vs. Parallelism 🔹 AsyncIO: Writing Non-Blocking Code 🔹 Multiprocessing & Threading ✅ Level 5: Working with Data – NumPy & Pandas 🔹 Efficient Data Handling with NumPy 🔹 Data Processing with Pandas ✅ Level 6: Building CLI Tools & Automation 🔹 Creating Command-Line Tools in Python 🔹 Building Serverless Cloud Functions ✅ Level 7: Software Engineering & DevOps with Python 🔹 Version Control with Git & GitHub 🔹 Setting Up a Professional Python Workspace 🔹 Dockerizing Python Applications 🔹 CI/CD & Deployment 💻 Final Project & Capstone 🎯 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 🎉 Who Should Take This Course? ✅ Beginner Python developers looking to write better, more efficient code ✅ Software engineers aiming for scalability and maintainability ✅ Data professionals who want to optimise Python script ✅ Anyone who wants to go from basic Python to production-ready development
This program is connected to a group. You’ll be added once you join the program.