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You are encouraged to familiarise yourself with its setup and parser functions before editing the template. If your edit causes unexpected problems, please undo it quickly, as this template may appear on a large number of pages.
You are encouraged to familiarise yourself with its setup and parser functions before editing the template. If your edit causes unexpected problems, please undo it quickly, as this template may appear on a large number of pages.
Here are a few suggestions for planning out your final project. (Some of these can be small and incremental projects; so we also suggest that you try out one or two, in addition to whatever you choose for your final project.) This will give you good exposure to a variety of approaches to editing Wikipedia.
Very short sections and subsections clutter an article with headings and inhibit the flow of the prose. Short paragraphs and single sentences generally do not warrant their own subheadings. Headings follow a six-level hierarchy, starting at 1 and ending at 6. The level of the heading is defined by the number of equals signs on each side of the ...
Please do not use a "level one" heading (only one equals sign on each side, i.e.: =Heading=). This would cause a section heading as large as the page title at the top of the page. Heading names of sections (including subsections) should be unique on a page. Using the same heading more than once on a page causes problems:
Internal links to related English Wikipedia articles, with section heading "See also" Notes and references, with a section heading "Notes" or "References" (usually the latter), or a separate section for each in this order (see Wikipedia:Citing sources); avoid "Bibliography", confusable with the subject's works
The = through ===== markup are headings for the sections with which they are associated. A single = is styled as the article title and should not be used within an article. Headings are styled through CSS and add an [edit] link. See this section for the relevant CSS. Four or more headings cause a table of contents to be generated automatically.
In information theory, linguistics, and computer science, the Levenshtein distance is a string metric for measuring the difference between two sequences. The Levenshtein distance between two words is the minimum number of single-character edits (insertions, deletions or substitutions) required to change one word into the other.