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Course Outline
Introduction to AI-Powered Coding Assistance
- Understanding the role of AI in coding
- Benefits of using AI assistants for Python development
Setting Up Tabnine for Python
- Installing Tabnine
- Integrating Tabnine with Python IDEs
Exploring Tabnine's Core Features for Python
- Using autocomplete for Python syntax
- Leveraging code suggestions for faster development
- Working with Tabnine's Python language model
Advanced Productivity Techniques with Tabnine
- Personalizing Tabnine settings
- Optimizing Tabnine for large Python projects
- Collaborating with Tabnine in team settings
Best Practices and Tips
- Effective use of Tabnine in Python coding
- Shortcuts and productivity hacks
- Common pitfalls and how to avoid them
Tabnine and Python: Real-World Applications
- Case studies: Tabnine in data science projects
- Tabnine for web development with Python frameworks
- Enhancing AI and machine learning code with Tabnine
Summary and Next Steps
Requirements
- Intermediate knowledge of Python programming
- Experience with Python development environments
- Understanding of software development best practices
Audience
- Python developers
- Data scientists
14 Hours
