GCI12000 [Team TREE][2025] - For loop vs list comprehension #407
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echeniquegrecia
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dedece35
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src/main/rules/GCI1200/GCI1200.json
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| "creedengo", | ||
| "eco-design", | ||
| "performance", | ||
| "comprehension", |
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please delete tags "comprehension", "loop", and "iteration" because there aren't thematic tags but code centric
src/main/rules/GCI1200/GCI1200.json
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| { | |||
| "title": "To use list comprehension instead for loop in simple iterations", | |||
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CHANGELOG.md
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| ### Added | ||
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| - Added rule GCI1200: Detect a for loop and suggest a list comprehension |
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add here a link to current PR like done in other example in CHANGELOG.md
RULES.md
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| | | Resize images browser-side | Do not resize images using the HEIGHT and WIDTH attributes of the HTML code. This approach requires transferring these images to their original size, wasting bandwidth and CPU cycles. | [cnumr best practices (3rd edition) BP_034](https://github.com/cnumr/best-practices/blob/main/chapters/BP_034_fr.md) | 🚫 | 🚫 | 🚧 | 🚫 | 🚫 | 🚫 | 🚀 | | ||
| | | Modify the DOM when traversing it | Modifying the DOM (Document Object Model) as you traverse it can lead to situations where the loop becomes very resource-intensive, especially CPU cycles. | [cnumr best practices (3rd edition) BP_041](https://github.com/cnumr/best-practices/blob/main/chapters/BP_041_fr.md) | 🚫 | 🚫 | 🚧 | 🚫 | 🚫 | 🚫 | 🚫 | | ||
| | | Edit DOM elements to make it invisible | When an element of the Document Object Model (DOM) needs to be modified by several properties, each change in style or content will generate a repaint or reflow. | [cnumr best practices (3rd edition) BP_042](https://github.com/cnumr/best-practices/blob/main/chapters/BP_042_fr.md) | 🚫 | 🚫 | 🚀 | 🚫 | 🚫 | 🚫 | 🚫 | | ||
| | GSI1200 | To use list comprehension instead for loop in simple iterations | | | ❓ | ❓ | 🚀 | ❓ | ❓ |❓ |❓ | |
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typo error : GCI and not GSI, please
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When you use a for loop, on every iteration, you have to look up the variable holding
the list and then call its append() function. A list comprehension can be faster
than a for loop because it’s optimized for performance by Python’s internal mechanisms.
References: