Another Sample of a table view on the front end.
Another Sample of a table view on the front end
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5 responses to “Another Sample of a table view on the front end”
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You can easily take what you have so far with the Phind interface, chat.php, and generate a few articles a day on each website without causing them to freak out about hammering their API.
Build arrays or lists or even a admin form in WordPress to add search terms, phrases, or keywords that the plugin can choose from to generate titles, outlines/section headings, and content for each section in a piece by piece process, and assemble into whole articles, then publish or set as drafts for manual review.
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With column labels defined on plugin level, labels need to be added only once. These labels are also used in other tools (like Data Tables).
Less?
Use this options on parent-child pages to minimize the number of columns shown on startup. When at least one column has this options checked, the plugin will hide checked columns on startup and show an ADD MORE|ADD LESS botton to show|hide the other columns.ID?
Indicates whether the ID will be added to the lookup.Supported default values
$$USERID$$ – WordPress user id
$$USER$$ – WordPress user login
$$EMAIL$$ – WordPress user email address
$$NOW$$ – Current date
$$NOWDT$$ – Current date + time -
Build a tool to use very large text for the first 1 or 2 lines or em units of the page heading like a hero, then progressively smaller if the heading goes any further. Then make the first paragraph also use extremely large text but not bolded, and then transition down to a normal sized text.
This might look better and draw users in on mobile with portrait, and on wider screens it could also include more vertical white space to make it more landing page-like
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Use either notification API or a worker js to send print jobs to a kiosk mode browser running on a tablet or PC connected to the printer. Use south.
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Create a plugin that creates an AI chatbot interface which utilizes analytics and tag manager signals to develop profiles of visitors who interact with it, and then train the AI to recognize opportunities during chats to either subtly or very aggressively make a sales pitch based on affiliate marketing or in house products related to the discussion, past discussions, or generally of interest to that use based on their Google ads profile, browsing history, etc
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