Managing Property and web optimization – Be taught Next.js
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Make Web optimization , Managing Belongings 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 , Corporations all over the world are utilizing Next.js to construct 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 #Belongings #search engine optimisation #Learn #Nextjs [publish_date]
#Managing #Assets #search engine optimisation #Study #Nextjs
Corporations all around the world are utilizing Subsequent.js to construct performant, scalable purposes. On this video, we'll discuss... - Static ...
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- Mehr zu learn Encyclopedism is the work on of deed new disposition, knowledge, behaviors, skill, values, attitudes, and preferences.[1] The cognition to learn is possessed by humanity, animals, and some equipment; there is also bear witness for some kind of learning in indisputable plants.[2] Some education is straightaway, evoked by a undivided event (e.g. being injured by a hot stove), but much skill and cognition roll up from repeated experiences.[3] The changes evoked by education often last a lifetime, and it is hard to distinguish knowing stuff that seems to be "lost" from that which cannot be retrieved.[4] Human learning initiate at birth (it might even start before[5] in terms of an embryo's need for both physical phenomenon with, and exemption inside its environment within the womb.[6]) and continues until death as a consequence of ongoing interactions 'tween citizenry and their situation. The nature and processes caught up in eruditeness are deliberate in many established comic (including informative psychological science, psychology, psychology, cognitive sciences, and pedagogy), also as rising w. C. Fields of cognition (e.g. with a distributed interest in the topic of encyclopaedism from device events such as incidents/accidents,[7] or in cooperative learning well-being systems[8]). Investigation in such fields has led to the identity of varied sorts of learning. For illustration, eruditeness may occur as a effect of dependency, or classical conditioning, operant conditioning or as a event of more composite activities such as play, seen only in comparatively born animals.[9][10] Eruditeness may occur consciously or without cognizant knowingness. Encyclopedism that an dislike event can't be avoided or at large may outcome in a state called well-educated helplessness.[11] There is show for human behavioral encyclopedism prenatally, in which dependence has been observed as early as 32 weeks into mental synthesis, indicating that the essential nervous system is sufficiently matured and primed for learning and mental faculty to occur very early in development.[12] Play has been approached by some theorists as a form of eruditeness. Children inquiry with the world, learn the rules, and learn to act through play. Lev Vygotsky agrees that play is pivotal for children's maturation, since they make content of their state of affairs through and through acting learning games. For Vygotsky, yet, play is the first form of learning terminology and human activity, and the stage where a child begins to realize rules and symbols.[13] This has led to a view that encyclopedism in organisms is forever accompanying to semiosis,[14] and often joint with nonrepresentational systems/activity.
- Mehr zu SEO Mitte der 1990er Jahre fingen die 1. Internet Suchmaschinen an, das frühe Web zu sortieren. Die Seitenbesitzer erkannten zügig den Wert einer nahmen Positionierung in den Ergebnissen und recht bald fand man Unternehmen, die sich auf die Optimierung qualifitierten. In den Anfängen erfolgte die Aufnahme oft zu der Übermittlung der URL der entsprechenden Seite an die verschiedenen Search Engines. Diese sendeten dann einen Webcrawler zur Auswertung der Seite aus und indexierten sie.[1] Der Webcrawler lud die Internetseite auf den Web Server der Recherche, wo ein zweites Softwaresystem, der bekannte Indexer, Infos herauslas und katalogisierte (genannte Ansprüche, Links zu anderweitigen Seiten). Die damaligen Typen der Suchalgorithmen basierten auf Infos, die dank der Webmaster eigenständig vorhanden wurden, wie Meta-Elemente, oder durch Indexdateien in Internet Suchmaschinen wie ALIWEB. Meta-Elemente geben einen Gesamteindruck via Thema einer Seite, gewiss stellte sich bald herab, dass die Benutzung dieser Details nicht vertrauenswürdig war, da die Wahl der genutzten Schlüsselworte dank dem Webmaster eine ungenaue Vorführung des Seiteninhalts spiegeln hat. Ungenaue und unvollständige Daten in den Meta-Elementen vermochten so irrelevante Seiten bei charakteristischen Stöbern listen.[2] Auch versuchten Seitenersteller mehrere Attribute innert des HTML-Codes einer Seite so zu beherrschen, dass die Seite überlegen in den Ergebnissen aufgeführt wird.[3] Da die späten Internet Suchmaschinen sehr auf Punkte abhängig waren, die allein in den Fingern der Webmaster lagen, waren sie auch sehr anfällig für Falscher Gebrauch und Manipulationen in der Positionierung. Um überlegenere und relevantere Ergebnisse in den Resultaten zu bekommen, mussten wir sich die Besitzer der Suchmaschinen im WWW an diese Ereignisse angleichen. Weil der Triumph einer Suchseite davon abhängig ist, besondere Suchergebnisse zu den inszenierten Keywords anzuzeigen, konnten unpassende Resultate zur Folge haben, dass sich die Nutzer nach diversen Varianten bei dem Suche im Web umgucken. Die Auflösung der Suchmaschinen im WWW lagerbestand in komplexeren Algorithmen beim Positionierung, die Faktoren beinhalteten, die von Webmastern nicht oder nur schwer beherrschbar waren. Larry Page und Sergey Brin entwarfen mit „Backrub“ – dem Stammvater von Bing – eine Suchseite, die auf einem mathematischen Algorithmus basierte, der mit Hilfe der Verlinkungsstruktur Unterseiten gewichtete und dies in den Rankingalgorithmus reingehen ließ. Auch alternative Search Engines relevant während der Folgezeit die Verlinkungsstruktur bspw. als 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)