Develop Code using Code Assist

Unleash the power of Code Assist for faster and more accurate code development.

Code Assist in Data Science Lab (DSLab) helps streamline the coding process by providing real-time suggestions, auto-completion, and contextual code generation. This feature is designed to help developers and data scientists quickly write efficient and error-free code, improving productivity and reducing the time spent debugging.

Steps to Use Code Assist

Navigation path: Data Science Lab > Workspace > Repo Folder > Notebook > Code Cell > Code Assist

1. Access Code Assist within the Notebook

  • Navigate to the Workspace tab in Data Science Lab.

  • Open the Repo folder where your notebook is stored.

  • Select the desired Notebook and click to open it.

  • Navigate to a Code Cell within the notebook.

  • Click the Code Assist icon within the code cell.

  • The interactive Code Assist interface will be launched, ready to assist with writing and debugging code.

2. Start Typing Code within the Assist Interface

  • Begin typing code in the code cell within the notebook.

  • Code Assist will automatically suggest possible code completions based on the context of the libraries or functions you are using.

  • Suggestions will appear as you type, helping you to complete common coding patterns quickly.

3. Accept Code Suggestions

  • As you type, Code Assist will display a list of suggestions based on the code entered so far.

  • To accept a suggestion, press Enter or Tab to automatically complete the code.

  • Example:

    • When typing pd.read_, Code Assist will suggest the complete function pd.read_csv().

  • Pressing Enter will insert pd.read_csv() into the code cell.

4. Receive Function Documentation and Explanations

  • Hover over any function or code snippet suggested by Code Assist.

  • A tooltip will appear, providing a brief explanation of the function’s purpose and syntax.

  • This feature helps you quickly understand what each function does without leaving the notebook or referring to external documentation.

5. Use Code Assist for Auto-Completion

  • Code Assist provides auto-completion for common code structures like loops, conditionals, and function arguments.

  • Example:

    • When typing for i in range(, Code Assist will automatically complete the loop structure with for i in range(0, N):, where N is suggested based on the context of your data or previous code.

  • Press Enter to accept the suggested structure and continue working.

6. Explore Code Snippets

  • Code Assist can generate entire code snippets based on the context or patterns from previous code.

  • Example:

    • If you start typing a data preprocessing function, Code Assist can suggest the relevant code block based on the columns or data structures you are working with.

  • This speeds up the process of writing repetitive or commonly used code.

7. Modify and Validate Code

  • After selecting a suggestion or completing the code manually, you can modify it as needed.

  • Code Assist will continue to provide suggestions or corrections to ensure that your code adheres to best practices and syntax rules.

  • This feature helps improve the readability, maintainability, and correctness of the code, guiding you towards optimal solutions.

Benefits of Using Code Assist for Faster Development

  • Reduces Typing Effort: Auto-completion and code generation minimize the need for manual typing, saving time.

  • Improves Code Accuracy: Suggestions ensure you use correct function names, syntax, and libraries, reducing errors.

  • Boosts Productivity: Quickly complete code segments and focus on data science tasks without worrying about syntax.

  • Contextual Suggestions: Code Assist provides relevant suggestions based on your project context, enhancing code relevance and consistency.