Overview
Unlock the Power of AI Pair Programming : Maximizing Productivity in Python and Django REST with GitHub Copilot
Syllabus
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- Introduction to GitHub Copilot
-- Overview of AI-powered coding assistance
-- Installation and setup of GitHub Copilot
-- Understanding limitations and ethical considerations
- Getting Started with Python and GitHub Copilot
-- Writing Python scripts with Copilot assistance
-- Navigating Copilot's suggestions
-- Best practices for integrating Copilot into your workflow
- Advanced Python Coding Techniques
-- Leveraging Copilot for complex algorithms
-- Using Copilot for debugging and error handling
-- Enhancing code readability and maintenance with AI suggestions
- Introduction to Django and REST Frameworks
-- Overview of Django for web development
-- Understanding Django REST framework architecture
-- Setting up a basic Django project with REST endpoints
- Using GitHub Copilot with Django
-- Creating models, views, and templates with Copilot
-- Automating repetitive tasks in Django development
-- Enhancing REST API development with AI-assisted code
- Real-world Application Development
-- Building a small-scale Django REST application with Copilot
-- Managing database migrations and configurations
-- Implementing authentication and permissions with Copilot's help
- Optimizing Development Workflow
-- Combining Copilot with existing tooling and practices
-- Collaborative coding with Copilot in a team environment
-- Continuous integration and deployment with AI support
- Troubleshooting and Copilot Tips
-- Identifying and addressing common issues with Copilot
-- Fine-tuning suggestions to fit coding style
-- Learning from Copilot’s feedback for future projects
- Future Trends and the Evolution of AI in Coding
-- Exploring the upcoming features of GitHub Copilot
-- Impact of AI on the software development lifecycle
-- Preparing for advancements in AI-powered development tools
- Capstone Project
-- Develop a comprehensive Django REST application with Copilot
-- Presentation and peer review of projects
-- Reflecting on lessons learned and future applications of AI tools in development
Taught by
Tags
On-Demand
