Managing Property and search engine optimization – Learn Subsequent.js
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Make Website positioning , Managing Assets and SEO – Learn Next.js , , fJL1K14F8R8 , https://www.youtube.com/watch?v=fJL1K14F8R8 , https://i.ytimg.com/vi/fJL1K14F8R8/hqdefault.jpg , 14181 , 5.00 , Companies everywhere in the world are using Next.js to build performant, scalable purposes. 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 #Property #search engine marketing #Learn #Nextjs
Companies everywhere in the world are using Next.js to build performant, scalable purposes. On this video, we'll discuss... - Static ...
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- Mehr zu learn Learning is the procedure of deed new faculty, cognition, behaviors, technique, values, attitudes, and preferences.[1] The cognition to learn is controlled by human, animals, and some equipment; there is also inform for some rather eruditeness in confident plants.[2] Some learning is immediate, induced by a respective event (e.g. being burned-over by a hot stove), but much skill and noesis amass from perennial experiences.[3] The changes induced by encyclopaedism often last a lifespan, and it is hard to differentiate knowledgeable substance that seems to be "lost" from that which cannot be retrieved.[4] Human education get going at birth (it might even start before[5] in terms of an embryo's need for both action with, and immunity within its environment inside the womb.[6]) and continues until death as a outcome of current interactions between friends and their surroundings. The existence and processes caught up in eruditeness are deliberate in many established w. C. Fields (including educational psychology, psychological science, experimental psychology, psychological feature sciences, and pedagogy), besides as nascent fields of noesis (e.g. with a shared fire in the topic of education from safety events such as incidents/accidents,[7] or in cooperative encyclopedism health systems[8]). Investigating in such comic has led to the recognition of varied sorts of encyclopedism. For good example, encyclopedism may occur as a issue of dependance, or conditioning, conditioning or as a consequence of more complex activities such as play, seen only in relatively rational animals.[9][10] Learning may occur unconsciously or without cognizant awareness. Encyclopaedism that an aversive event can't be avoided or escaped may outcome in a state titled enlightened helplessness.[11] There is inform for human activity eruditeness prenatally, in which dependence has been determined as early as 32 weeks into physiological state, indicating that the cardinal anxious organization is insufficiently matured and fit for eruditeness and memory to occur very early in development.[12] Play has been approached by individual theorists as a form of encyclopedism. Children scientific research with the world, learn the rules, and learn to act through play. Lev Vygotsky agrees that play is pivotal for children's process, since they make significance of their environs through and through performing arts acquisition games. For Vygotsky, yet, play is the first form of learning word and human activity, and the stage where a child started to understand rules and symbols.[13] This has led to a view that eruditeness in organisms is forever kindred to semiosis,[14] and often connected with representational systems/activity.
- Mehr zu SEO Mitte der 1990er Jahre fingen die 1. Suchmaschinen im Netz an, das frühe Web zu ordnen. Die Seitenbesitzer erkannten direkt den Wert einer bevorzugten Listung in Resultaten und recht bald fand man Unternehmen, die sich auf die Besserung spezialisierten. In Anfängen vollzogen wurde die Aufnahme oft bezüglich der Transfer der URL der jeweiligen Seite an die verschiedenartigen Suchmaschinen. Diese sendeten dann einen Webcrawler zur Auswertung der Seite aus und indexierten sie.[1] Der Webcrawler lud die Webseite auf den Server der Suchseite, wo ein weiteres Angebot, der so genannte Indexer, Informationen herauslas und katalogisierte (genannte Ansprüche, Links zu sonstigen Seiten). Die frühen Modellen der Suchalgorithmen basierten auf Informationen, die anhand der Webmaster eigenständig gegeben wurden, wie Meta-Elemente, oder durch Indexdateien in Internet Suchmaschinen wie ALIWEB. Meta-Elemente geben einen Überblick per Content einer Seite, aber stellte sich bald raus, dass die Benutzung dieser Vorschläge nicht solide war, da die Wahl der gebrauchten Schlüsselworte durch den Webmaster eine ungenaue Abbildung des Seiteninhalts reflektieren kann. Ungenaue und unvollständige Daten in Meta-Elementen vermochten so irrelevante Seiten bei charakteristischen Recherchieren listen.[2] Auch versuchten Seitenersteller unterschiedliche Fähigkeiten innert des HTML-Codes einer Seite so zu beherrschen, dass die Seite überlegen in Suchergebnissen gelistet wird.[3] Da die damaligen Suchmaschinen im Internet sehr auf Merkmalen dependent waren, die einzig in Koffern der Webmaster lagen, waren sie auch sehr instabil für Straftat und Manipulationen im Ranking. Um gehobenere und relevantere Testergebnisse in Ergebnissen zu erhalten, mussten sich die Besitzer der Suchmaschinen an diese Umständen angleichen. Weil der Gewinn einer Suchseite davon abhängt, essentielle Suchergebnisse zu den inszenierten Suchbegriffen anzuzeigen, vermochten unangebrachte Vergleichsergebnisse zur Folge haben, dass sich die Mensch nach ähnlichen Chancen bei dem Suche im Web umschauen. Die Erwiderung der Suchmaschinen im Netz inventar in komplexeren Algorithmen fürs Rang, die Aspekte beinhalteten, die von Webmastern nicht oder nur kompliziert kontrollierbar waren. Larry Page und Sergey Brin konstruierten mit „Backrub“ – dem Stammvater von Bing – eine Suchmaschine, die auf einem mathematischen Matching-Verfahren basierte, der anhand der Verlinkungsstruktur Websites gewichtete und dies in Rankingalgorithmus einfluss besitzen ließ. Auch übrige Suchmaschinen im Netz betreffend bei Folgezeit die Verlinkungsstruktur bspw. fit der Linkpopularität in ihre Algorithmen mit ein. Google
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)