Managing Belongings and search engine marketing – Study Subsequent.js
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Make Search engine marketing , Managing Assets and search engine marketing – Be taught Next.js , , fJL1K14F8R8 , https://www.youtube.com/watch?v=fJL1K14F8R8 , https://i.ytimg.com/vi/fJL1K14F8R8/hqdefault.jpg , 14181 , 5.00 , Companies all over the world are using Subsequent.js to build performant, scalable functions. In this video, we'll talk about... - Static ... , 1593742295 , 2020-07-03 04:11:35 , 00:14:18 , UCZMli3czZnd1uoc1ShTouQw , Lee Robinson , 359 , , [vid_tags] , https://www.youtubepp.com/watch?v=fJL1K14F8R8 , [ad_2] , [ad_1] , https://www.youtube.com/watch?v=fJL1K14F8R8, #Managing #Assets #search engine optimisation #Study #Nextjs [publish_date]
#Managing #Belongings #search engine optimization #Be taught #Nextjs
Companies everywhere in the world are using Subsequent.js to build performant, scalable applications. In this video, we'll talk about... - Static ...
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- Mehr zu learn Eruditeness is the procedure of acquiring new disposition, knowledge, behaviors, technique, values, attitudes, and preferences.[1] The quality to learn is demoniacal by humanity, animals, and some machinery; there is also inform for some rather encyclopedism in dependable plants.[2] Some eruditeness is immediate, iatrogenic by a undivided event (e.g. being unburned by a hot stove), but much skill and noesis lay in from perennial experiences.[3] The changes iatrogenic by learning often last a time period, and it is hard to distinguish knowledgeable material that seems to be "lost" from that which cannot be retrieved.[4] Human learning launch at birth (it might even start before[5] in terms of an embryo's need for both interaction with, and freedom inside its environment within the womb.[6]) and continues until death as a consequence of on-going interactions betwixt people and their environs. The world and processes active in encyclopedism are deliberate in many constituted william Claude Dukenfield (including learning science, psychology, psychonomics, psychological feature sciences, and pedagogy), likewise as future fields of noesis (e.g. with a shared kindle in the topic of learning from guard events such as incidents/accidents,[7] or in cooperative eruditeness health systems[8]). Look into in such fields has led to the determination of different sorts of learning. For exemplar, encyclopedism may occur as a consequence of physiological state, or classical conditioning, conditioning or as a effect of more convoluted activities such as play, seen only in relatively rational animals.[9][10] Learning may occur unconsciously or without cognizant consciousness. Encyclopedism that an dislike event can't be avoided or at large may consequence in a condition named educated helplessness.[11] There is testify for human behavioral eruditeness prenatally, in which dependency has been determined as early as 32 weeks into physiological state, indicating that the fundamental queasy organisation is insufficiently matured and primed for eruditeness and faculty to occur very early on in development.[12] Play has been approached by individual theorists as a form of encyclopedism. Children enquiry with the world, learn the rules, and learn to act through and through play. Lev Vygotsky agrees that play is pivotal for children's development, since they make significance of their situation through and through musical performance acquisition games. For Vygotsky, yet, play is the first form of eruditeness nomenclature and communication, and the stage where a child started to see rules and symbols.[13] This has led to a view that encyclopedism in organisms is e'er kindred to semiosis,[14] and often joint with mimetic systems/activity.
- Mehr zu SEO Mitte der 1990er Jahre fingen die ersten Internet Suchmaschinen an, das frühe Web zu katalogisieren. Die Seitenbesitzer erkannten direkt den Wert einer lieblings Positionierung in Serps und recht bald fand man Unternehmen, die sich auf die Besserung spezialisierten. In den Anfängen erfolgte die Aufnahme oft über die Transfer der URL der passenden Seite an die unterschiedlichen Suchmaschinen im Netz. Diese sendeten dann einen Webcrawler zur Analyse der Seite aus und indexierten sie.[1] Der Webcrawler lud die Internetseite auf den Web Server der Suchseite, wo ein 2. Anwendung, der sogenannte Indexer, Angaben herauslas und katalogisierte (genannte Ansprüche, Links zu diversen Seiten). Die frühen Versionen der Suchalgorithmen basierten auf Informationen, die mithilfe der Webmaster selber existieren wurden, wie Meta-Elemente, oder durch Indexdateien in Suchmaschinen im Internet wie ALIWEB. Meta-Elemente geben einen Gesamteindruck mit Inhalt einer Seite, doch registrierte sich bald hoch, dass die Anwendung er Hinweise nicht zuverlässig war, da die Wahl der eingesetzten Schlüsselworte dank dem Webmaster eine ungenaue Erläuterung des Seiteninhalts reflektieren kann. Ungenaue und unvollständige Daten in den Meta-Elementen vermochten so irrelevante Websites bei einzigartigen Recherchieren listen.[2] Auch versuchten Seitenersteller verschiedenartige Punkte im Laufe des HTML-Codes einer Seite so zu beherrschen, dass die Seite überlegen in den Ergebnissen gefunden wird.[3] Da die frühen Suchmaschinen im WWW sehr auf Aspekte dependent waren, die nur in den Taschen der Webmaster lagen, waren sie auch sehr vulnerabel für Delikt und Manipulationen in der Positionierung. Um bessere und relevantere Resultate in den Suchergebnissen zu erhalten, mussten wir sich die Betreiber der Suchmaschinen an diese Gegebenheiten anpassen. Weil der Triumph einer Suchseite davon abhängig ist, besondere Suchresultate zu den gestellten Keywords anzuzeigen, vermochten unangebrachte Resultate dazu führen, dass sich die Anwender nach weiteren Wege zur Suche im Web umschauen. Die Auskunft der Suchmaschinen im Netz fortbestand in komplexeren Algorithmen fürs Rangfolge, die Kriterien beinhalteten, die von Webmastern nicht oder nur schwierig beherrschbar waren. Larry Page und Sergey Brin gestalteten mit „Backrub“ – dem Vorläufer von Suchmaschinen – eine Suchmaschine, die auf einem mathematischen Algorithmus basierte, der mit Hilfe der Verlinkungsstruktur Webseiten gewichtete und dies in den Rankingalgorithmus reingehen ließ. Auch sonstige Suchmaschinen im Internet relevant in der Folgezeit die Verlinkungsstruktur bspw. fit der Linkpopularität in ihre Algorithmen mit ein. Die Suchmaschine
Next image component doesn't optimize svg image ? I tried it with png n jpg I get webp on my websites and reduced size but it's not with svg saldy
Does this channel have a discord server?
Great video Lee, the topic of SEO and performance has always intrigued me about the web. Very informative!
great video, you've mentioned a lot of useful tools, although I wish you linked them in the video's description
Thanks!
"GIF or JIF if you're a psycho" 😂
Fu*** awesome…. God blessed you Rob
Thanks for the great content! I'm coming to NextJS from the create-react-app world so this is helping me put the pieces together. #subscribed 😎
Man, what a good content, Thank you very much for teaching this, I'll share it with my friends that are learning Next!!
Hey Lee, I didn't get the usage of page.js in your repo, can you tell us a bit about using it, ?
BTW, the whole course is awesome!
Hi Lee, love your work! Question: I noticed that you don't use image optimization on the latest version of Mastering Next https://github.com/leerob/mastering-nextjs/. You also don't seem to optimize images on your blog, leerob.io — I'm just curious if there's a good reason, are you working on a better approach for handling images? 🙂
So helpful, thanks.
Really appreciate this, Lee! Super helpful. I had no idea there was a favicon genereator site either. Amazing. Thanks!
This is very good content. Subscribed!
I guess the Chrome extension is actually called Open Graph Preview isn't it? https://chrome.google.com/webstore/detail/open-graph-preview/ehaigphokkgebnmdiicabhjhddkaekgh
A few updates:
– Next.js 10 introduced an Image component and built-in image optimization: https://nextjs.org/docs/basic-features/image-optimization
– If you don't want to manage meta tags yourself, you can use a library like `next-seo`: https://www.npmjs.com/package/next-seo
2:16 FavIcon (tool for uploading pictures and converting them to icons)
2:39 FavIcon website checker (see what icons appear for your particular website on a variety of platforms)
3:36 ImageOptim/ImageAlpha (tools for optimizing image attributes e.g. size)
6:03 Open Graph tags (a standard for inserting tags into your <head> tag so that search engines know how to crawl your site)
7:18 Yandex (a tool for verifying how your content performs with respect to search engine crawling)
8:21 Facebook Sharing Debugger (to see how your post appears when shared on facebook)
8:45 Twitter card validator (to see how your post appears when shared on twitter)
9:14 OG Image Preview (shows you facebook/twitter image previews for your site i.e. does the job of the previous 2 services)
11:05 Extension: SEO Minion (more stuff to learn about how search engines process your pages
12:37 Extension: Accessibility Insights (automated accessibility checks)
13:04 Chrome Performance Tab / Lighthouse Audits (checking out performance, accessibility, SEO, etc overall for your site)