Python with Marginal Improvement
Marginal improvement refers to making small, incremental changes that collectively can lead to significant progress over time.
Here are some tips for adopting a marginal improvement approach in Python:
• Start small - Pick one small aspect of your code to improve first. It could be better variable naming, adding more comments, reducing an if statement, etc.
• Make the change - Implement the small change you've identified. Even a minor refactor or cleanup can make a difference.
• Measure the impact - Quantify how the small change has helped. It could be reducing a few lines of code, making it more readable, etc. This helps motivate future improvements.
• Repeat regularly - Make it a habit to review your code regularly and identify one small change you can make. Do this weekly or even daily.
• Combine improvements - Over time, your minor improvements will add up, leading to significant progress. You'll have cleaner, more optimized code.
• Automate where possible - For improvements that need to be made in multiple places, consider writing a script to automate making the change everywhere. This reduces manual effort in the future.
• Focus on quality - The goal isn't just to make changes for the sake of making changes. Focus on improving your code's quality, readability, and maintainability.