elasticsearch-index-termlist | Elasticsearch Index Termlist | Search Engine library

@ refers to the matrix multiplication operator.

From the numpy docs:

The @ operator can be used as a shorthand for np.matmul on ndarrays.

Not really, from my experience: once you have speficied your criteria from "Searching Code", any file (from different non-fork repositories) would be displayed.

Even though they might be the same name/content.

A pipe operator is what you're looking for ;D

String::matches impicitly checks the entire string as if "^" and "$" anchors are applied, so a minor fix to check for a value in the middle would be to update the regex to allow any prefix ".*".

Also, it may be needed to put the searchString between \Q and \E to enable search by string literal, and automatically escape characters which may be reserved for the regular expressions.

Google cannot index translated content unless you use separate URLs for each language. Google says:

If you prefer to dynamically change content or reroute the user based on language settings, be aware that Google might not find and crawl all your variations. This is because the Googlebot crawler usually originates from the USA. In addition, the crawler sends HTTP requests without setting Accept-Language in the request header.

In my experience, Googlebot won't find multiple languages served from the same URL. You need to create multiple URLs for pages. See How should I structure my URLs for both SEO and localization?

When using a single page application framework like Vue, that usually means:

• Using history.pushState() to change the URL when loading new content (or changing the language)
• Using links in your pages to tell search engines about other pages. For users you can intercept these clicks and change the content and URL with your JavaScript framework.
• Configuring your web server to serve your single page app for every valid URL and making sure your app loads the correct content based on the initial URL.
• Implementing server side rendering (also called pre-rendering) to make your site more accessible to bots. Googlebot is the only search engine bot advanced enough to execute the JS. Even for Googlebot, indexing will be worse and slower if you require Googlebot to render it rather than doing so server side.
• Avoiding changing the content you want indexed in search engines based on user interaction. Even when Googlebot executes JavaScript it doesn't simulate user behavior such as clicking or scrolling.

The inurl Google Search Operator is what was I looking for. Lets say I want search with the keywords "buy bitcoin" a https secured website I can type now in the google search field:

buy bitcoin inurl:https://

A negative example will include not https protected marktplaces: buy bitcoin inurl:http://

After few days the error disappeared by itself. No problems now.

In general, CSR (Client side rendering) < SSR (Server side rendering) in term of SEO. You and your competitor have the same site an your site is running in CSR then you will be less likely to get to the top Google Search Result.

There is a budget while google bot crawling your site. With SSR it takes a minimum amount of that budget crawling contents of your pages, on the other hand. With CSR, bots have to spend more time and resources for your pages to fully rendered, thus it takes more budget to do that.

At the moment, there is a very popular method to have the best of both worlds (SSR - CSR) is to applying a hibrid approach where SSR in first render and CSR for the 2nd navigation and so on.

You can take a look at such framework like Nextjs or craft your own masterpiece.

Google the following: google search results search box

First result: https://developers.google.com/search/docs/advanced/structured-data/sitelinks-searchbox

Google Search may automatically expose a search box scoped to your website when it appears as a search result, without you having to do anything additional to make this happen. This search box is powered by Google Search. However, you can explicitly provide information by adding WebSite structured data, which can help Google better understand your site.

Check other results too.