Python with AI: Code Faster Using ChatGPT and Copilot
Most developers use ChatGPT or Copilot to write code, then spend hours fixing what it got wrong. This course teaches Python alongside generative AI tools the right way — using ChatGPT, GitHub Copilot, and Gemini for code completion, refactoring, debugging, code review, and testing — while covering the Python topics that matter: async and multiprocessing, exceptions, memory, design patterns, OOP, Pandas, data visualization, and a hands-on Flask to-do app.
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⏱️ Chapters:
0:00:00 Introduction
0:04:08 What You Should Know Before Starting Python
0:08:10 Understanding Python and Installations
0:15:45 Basics of Python
0:24:29 How Is AI Beneficial in Programming?
0:29:47 Generative AI Tools: ChatGPT, Bard, Copilot, and GitHub Copilot
0:37:23 Advanced Use of AI Code Completion Tools for Python
0:45:44 Integrating AI for Code Optimization and Refactoring
0:52:13 Utilizing AI for Error Debugging
0:54:46 AI-Powered Code Review and Quality Analysis
1:01:52 Advanced Python Environment Management
1:08:45 Profiling and Optimizing Python Code with Generative AI
1:14:40 Debugging Techniques
1:19:19 Lambda Functions and Functional Programming Techniques
1:27:55 Threading, Multiprocessing, and Asynchronous Programming
1:36:03 Advanced Error and Exception Handling Techniques
1:43:09 Python Memory Management and Optimization
1:48:16 Implementing Design Patterns in Python
1:53:21 Writing Pythonic Code: Best Practices Using ChatGPT
1:56:49 Unit Testing and Test-Driven Development (TDD) with Gemini
2:00:33 Advanced Data Manipulation with Pandas
2:08:31 Data Visualization Techniques
2:15:00 Working with Data Sets and Performance Tuning
2:22:39 Design Principles with Copilot
2:27:16 Advanced Techniques in OOP
2:30:42 Working with Dynamic Attributes and Methods
2:36:55 Data Science and Machine Learning
2:44:20 Network Programming
2:49:05 Advanced Web Development
2:58:29 Deep Learning Concepts and Frameworks
3:03:16 Natural Language Processing (NLP) with Python
3:09:10 Building a Todo List App with Flask, Python, and JavaScript
3:24:58 Case Studies: Real-World AI Solutions with Python
3:28:56 AI in Data Analysis and Business Intelligence
3:34:10 Participating in Python Open Source Projects
3:38:45 Advanced Python Books and Online Resources
3:41:16 Joining Python Developer Communities and Conferences
3:47:19 The Evolving Landscape of Python Programming
3:53:02 Future Trends in Python and AI
3:56:06 Conclusion
ℹ️ Some tool names and interfaces have changed since recording (Bard is now Gemini). This course is independent and is not affiliated with, endorsed by, or sponsored by OpenAI, GitHub, Microsoft, or Google. For educational purposes only.
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