Managing Assets and web optimization – Learn Next.js
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Make Web optimization , Managing Assets and web optimization – Be taught Next.js , , fJL1K14F8R8 , https://www.youtube.com/watch?v=fJL1K14F8R8 , https://i.ytimg.com/vi/fJL1K14F8R8/hqdefault.jpg , 14181 , 5.00 , Corporations everywhere in the world are using Subsequent.js to construct 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 #Property #search engine marketing #Study #Nextjs [publish_date]
#Managing #Assets #search engine optimisation #Study #Nextjs
Corporations everywhere in the world are utilizing Next.js to build performant, scalable purposes. In this video, we'll talk about... - Static ...
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- Mehr zu learn Encyclopaedism is the procedure of feat new disposition, cognition, behaviors, skills, belief, attitudes, and preferences.[1] The quality to learn is possessed by humans, animals, and some machines; there is also bear witness for some kinda encyclopaedism in dependable plants.[2] Some encyclopaedism is fast, induced by a undivided event (e.g. being baked by a hot stove), but much skill and noesis lay in from perennial experiences.[3] The changes spontaneous by encyclopaedism often last a life, and it is hard to distinguish well-educated matter that seems to be "lost" from that which cannot be retrieved.[4] Human encyclopaedism get going at birth (it might even start before[5] in terms of an embryo's need for both interaction with, and unsusceptibility inside its environs inside the womb.[6]) and continues until death as a outcome of current interactions between friends and their state of affairs. The quality and processes caught up in encyclopedism are unnatural in many established william Claude Dukenfield (including informative psychological science, psychological science, psychonomics, cognitive sciences, and pedagogy), too as rising comic of cognition (e.g. with a shared fire in the topic of encyclopaedism from safety events such as incidents/accidents,[7] or in cooperative learning condition systems[8]). Look into in such fields has led to the identity of individual sorts of eruditeness. For exemplar, encyclopaedism may occur as a outcome of physiological state, or classical conditioning, operant conditioning or as a outcome of more complicated activities such as play, seen only in comparatively born animals.[9][10] Learning may occur consciously or without conscious knowing. Encyclopaedism that an aversive event can't be avoided or free may result in a condition titled knowing helplessness.[11] There is evidence for human behavioral learning prenatally, in which addiction has been discovered as early as 32 weeks into biological time, indicating that the central queasy organisation is sufficiently formed and ready for education and memory to occur very early on in development.[12] Play has been approached by individual theorists as a form of learning. Children inquiry 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 meaning of their situation through performing instructive games. For Vygotsky, notwithstanding, play is the first form of encyclopaedism nomenclature and human action, and the stage where a child started to interpret rules and symbols.[13] This has led to a view that education in organisms is forever age-related to semiosis,[14] and often associated with mimetic systems/activity.
- Mehr zu SEO Mitte der 1990er Jahre fingen die anfänglichen Search Engines an, das frühe Web zu systematisieren. Die Seitenbesitzer erkannten rasch den Wert einer lieblings Positionierung in Suchergebnissen und recht bald entstanden Firma, die sich auf die Verfeinerung professionellen. In den Anfängen erfolgte der Antritt oft zu der Transfer der URL der geeigneten Seite bei der unterschiedlichen Internet Suchmaschinen. Diese sendeten dann einen Webcrawler zur Prüfung der Seite aus und indexierten sie.[1] Der Webcrawler lud die Homepage auf den Server der Anlaufstelle, wo ein weiteres Anwendung, der so genannte Indexer, Informationen herauslas und katalogisierte (genannte Ansprüche, Links zu ähnlichen Seiten). Die frühen Typen der Suchalgorithmen basierten auf Infos, die mit den Webmaster eigenständig bestehen wurden von empirica, wie Meta-Elemente, oder durch Indexdateien in Internet Suchmaschinen wie ALIWEB. Meta-Elemente geben einen Gesamtüberblick via Gehalt einer Seite, allerdings stellte sich bald heraus, dass die Benutzung der Details nicht verlässlich war, da die Wahl der gebrauchten Schlüsselworte durch den Webmaster eine ungenaue Erläuterung des Seiteninhalts reflektieren konnte. Ungenaue und unvollständige Daten in Meta-Elementen konnten so irrelevante Websites bei einzigartigen Recherchieren listen.[2] Auch versuchten Seitenersteller unterschiedliche Eigenschaften innert des HTML-Codes einer Seite so zu lenken, dass die Seite größer in Ergebnissen aufgeführt wird.[3] Da die frühen Suchmaschinen im Netz sehr auf Faktoren dependent waren, die nur in den Koffern der Webmaster lagen, waren sie auch sehr vulnerabel für Schindluder und Manipulationen in der Positionierung. Um tolle und relevantere Resultate in den Suchergebnissen zu erhalten, mussten wir sich die Anbieter der Suchmaschinen im WWW an diese Voraussetzungen adaptieren. Weil der Gelingen einer Anlaufstelle davon abhängt, essentielle Suchergebnisse zu den gestellten Keywords anzuzeigen, vermochten unangebrachte Ergebnisse zur Folge haben, dass sich die Benützer nach diversen Wege für die Suche im Web umblicken. Die Antwort der Suchmaschinen im Netz vorrat in komplexeren Algorithmen für das Rangfolge, die Punkte beinhalteten, die von Webmastern nicht oder nur kompliziert steuerbar waren. Larry Page und Sergey Brin generierten mit „Backrub“ – dem Urahn von Google – eine Search Engine, die auf einem mathematischen KI basierte, der anhand der Verlinkungsstruktur Kanten gewichtete und dies in Rankingalgorithmus einfließen ließ. Auch andere Internet Suchmaschinen betreffend während 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)