Review & Debug Code with Linter
Avail instant debugging by screening your data science script through Linter.
The Linter is a powerful tool integrated into Data Science Lab (DSLab) that helps developers analyze their source code for potential issues, bugs, and adherence to best practices. By enforcing coding standards, the linter ensures high code quality and makes code easier to maintain. It plays a vital role in improving the development process, especially in collaborative environments.
Steps to Use the Linter in a Notebook
Navigation path: Data Science Lab > Workspace > Repo Folder > Notebook > Notebook Header > Linter Icon
Navigate to the Workspace Tab:
Open the Workspace tab in Data Science Lab.
Navigate to the Repo folder within your project where your notebook is stored.
Select the Notebook:
Choose the Notebook you want to lint.
Access the Linter:
Click the Linter icon from the Notebook Header.
The Linter drawer opens at the bottom of the page, displaying the results of the linting process.
Analyze Detected Issues:
The Linter will display any detected issues in the code, including:
Syntax errors
Warnings about unused variables
Inefficient code patterns
Recommendations will also be provided to improve code quality and performance.
Modify Code:
Review the highlighted lines in the code and follow the Linter’s suggestions to correct the syntax or improve code structure.
Re-run the Linter:
Once issues are resolved, re-run the Linter to verify that the code is free of errors and adheres to best practices.
Features of the Linter
The Linter helps identify and correct various types of issues in your code. Its key features include:
Error Detection: Automatically identifies common issues such as syntax errors, unused variables, and inefficient code patterns.
Code Correction: Provides real-time suggestions and fixes for code errors, ensuring high-quality code.
Improves Maintainability: Helps enforce coding standards by identifying deviations from best practices, making it easier to maintain and expand the codebase.