Managing Belongings and web optimization – Learn Next.js
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Make Search engine marketing , Managing Assets and search engine optimization – Learn Subsequent.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 utilizing Next.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 #web optimization #Be taught #Nextjs [publish_date]
#Managing #Property #web optimization #Learn #Nextjs
Companies everywhere in the world are using Next.js to construct performant, scalable functions. On this video, we'll discuss... - Static ...
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- Mehr zu learn Learning is the process of exploit new apprehension, knowledge, behaviors, profession, belief, attitudes, and preferences.[1] The quality to learn is berserk by world, animals, and some machines; there is also testify for some sort of learning in certain plants.[2] Some education is close, elicited by a separate event (e.g. being baked by a hot stove), but much skill and knowledge put in from recurrent experiences.[3] The changes elicited by learning often last a lifespan, and it is hard to characterize nonheritable substantial that seems to be "lost" from that which cannot be retrieved.[4] Human encyclopaedism initiate at birth (it might even start before[5] in terms of an embryo's need for both physical phenomenon with, and immunity within its environs inside the womb.[6]) and continues until death as a result of current interactions 'tween populate and their environs. The trait and processes involved in encyclopedism are unstudied in many established comedian (including learning psychological science, neuropsychology, experimental psychology, cognitive sciences, and pedagogy), too as emergent fields of noesis (e.g. with a distributed kindle in the topic of encyclopaedism from guard events such as incidents/accidents,[7] or in collaborative education wellbeing systems[8]). Investigate in such fields has led to the recognition of individual sorts of learning. For good example, encyclopedism may occur as a result of physiological state, or conditioning, conditioning or as a outcome of more intricate activities such as play, seen only in comparatively born animals.[9][10] Education may occur unconsciously or without aware knowing. Encyclopaedism that an dislike event can't be avoided or loose may result in a condition known as educated helplessness.[11] There is info for human behavioral education prenatally, in which physiological state has been determined as early as 32 weeks into construction, indicating that the fundamental nervous arrangement is insufficiently formed and fit for eruditeness and remembering to occur very early on in development.[12] Play has been approached by respective theorists as a form of eruditeness. Children research with the world, learn the rules, and learn to act through and through play. Lev Vygotsky agrees that play is crucial for children's maturation, since they make substance of their situation through playing instructive games. For Vygotsky, nonetheless, play is the first form of education terminology and human action, and the stage where a child started to interpret rules and symbols.[13] This has led to a view that encyclopedism in organisms is always associated to semiosis,[14] and often joint with figural systems/activity.
- Mehr zu SEO Mitte der 1990er Jahre fingen die ersten Suchmaschinen im Internet an, das frühe Web zu ordnen. Die Seitenbesitzer erkannten rasch den Wert einer bevorzugten Listung in den Resultaten und recht bald fand man Betrieb, die sich auf die Besserung professionellen. In Anfängen geschah der Antritt oft über die Übermittlung der URL der geeigneten Seite an die verschiedenartigen Suchmaschinen. Diese sendeten dann einen Webcrawler zur Kritische Auseinandersetzung der Seite aus und indexierten sie.[1] Der Webcrawler lud die Homepage auf den Web Server der Anlaufstelle, wo ein 2. Software, der die bekannten Indexer, Informationen herauslas und katalogisierte (genannte Wörter, Links zu anderweitigen Seiten). Die zeitigen Typen der Suchalgorithmen basierten auf Infos, die mit den Webmaster eigenständig vorliegen werden, wie Meta-Elemente, oder durch Indexdateien in Search Engines wie ALIWEB. Meta-Elemente geben einen Überblick mit Thema einer Seite, dennoch stellte sich bald hervor, dass die Inanspruchnahme er Hinweise nicht vertrauenswürdig war, da die Wahl der verwendeten Schlüsselworte durch den Webmaster eine ungenaue Darstellung des Seiteninhalts spiegeln hat. Ungenaue und unvollständige Daten in den Meta-Elementen vermochten so irrelevante Internetseiten bei besonderen Stöbern listen.[2] Auch versuchten Seitenersteller mehrere Eigenschaften innerhalb des HTML-Codes einer Seite so zu beeinflussen, dass die Seite besser in den Serps aufgeführt wird.[3] Da die frühen Search Engines sehr auf Aspekte abhängig waren, die bloß in Koffern der Webmaster lagen, waren sie auch sehr labil für Missbrauch und Manipulationen im Ranking. Um überlegenere und relevantere Urteile in den Suchergebnissen zu bekommen, mussten wir sich die Unternhemer der Suchmaschinen im Internet an diese Gegebenheiten adjustieren. Weil der Ergebnis einer Anlaufstelle davon zusammenhängt, essentielle Suchresultate zu den inszenierten Keywords anzuzeigen, konnten unpassende Testergebnisse dazu führen, dass sich die Nutzer nach anderweitigen Optionen wofür Suche im Web umschauen. Die Lösung der Internet Suchmaschinen fortbestand in komplexeren Algorithmen für das Platz, die Merkmalen beinhalteten, die von Webmastern nicht oder nur schwer beeinflussbar waren. Larry Page und Sergey Brin entwarfen mit „Backrub“ – dem Stammvater von Google – eine Suchmaschine, die auf einem mathematischen Algorithmus basierte, der anhand der Verlinkungsstruktur Webseiten gewichtete und dies in Rankingalgorithmus eingehen ließ. Auch sonstige Suchmaschinen im Netz orientiert zu Beginn der Folgezeit die Verlinkungsstruktur bspw. wohlauf der Linkpopularität in ihre Algorithmen mit ein. Suchmaschinen
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)