Course Code: tabninepythondev
Duration: 14 hours
Prerequisites:
  • Intermediate knowledge of Python programming
  • Experience with Python development environments
  • Understanding of software development best practices

Audience

  • Python developers
  • Data scientists
Overview:

Tabnine is an AI-powered coding assistant that offers advanced code completions and suggestions tailored for Python developers.

This instructor-led, live training (online or onsite) is aimed at intermediate-level Python developers and data scientists who wish to boost their productivity with the help of Tabnine.

By the end of this training, participants will be able to:

  • Install and configure Tabnine in their Python development environment.
  • Use Tabnine's autocomplete features to write Python code more efficiently.
  • Customize Tabnine's behavior to fit their coding style and project needs.
  • Understand how Tabnine's AI model works specifically with Python code.

Format of the Course

  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
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

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