How to Write Clean Code and Save Your Sanity
Too Long; Didn't Read
Writing code is a skill that anyone can acquire, but attaining the highest standards of clean code requires discipline and dedication. Adhering to best practices maintains code cleanliness, minimizes the risk of introducing bugs and ultimately reduces development effort in the long run.
To illustrate these best practices, we’ll consider a hypothetical project called Stack-Scraper available on GitHub. Let's dive into these best practices
1. Repository Structure: A thoughtfully designed repository structure serves as the foundation for clean code development.
2. pre-commit: It provides a way to enforce code quality, formatting, and other project-specific requirements.
3. Type-hints: Python type-hints aid developers in understanding code thereby reducing potential bugs.
4. Doc-strings: They provide additional information and make it easier for developers to understand and utilize the code effectively.
5. SonarLint: It is a code analysis tool that helps identify and fix code quality issues, security vulnerabilities, and bugs during the development process.
6. Pydantic: It provides runtime type checking and validation for data models thereby ensuring data correctness.
7. Spell Checker: It improves code understandability and the overall professionalism and credibility of the project.
8. Tests: Comprehensive testing is crucial for maintaining error-free and robust code, ensuring its adaptability to future changes.
9. Some additional tips mentioned at the end of the article