Managing Assets and web optimization – Study Next.js
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Make Website positioning , Managing Property and web optimization – Study 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 Subsequent.js to build performant, scalable purposes. On this video, we'll discuss... - 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 #Learn #Nextjs [publish_date]
#Managing #Assets #search engine marketing #Study #Nextjs
Companies all around the world are utilizing Next.js to construct performant, scalable functions. On this video, we'll discuss... - Static ...
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- Mehr zu learn Eruditeness is the procedure of getting new apprehension, noesis, behaviors, trade, values, attitudes, and preferences.[1] The quality to learn is controlled by homo, animals, and some machinery; there is also evidence for some kind of encyclopaedism in confident plants.[2] Some encyclopaedism is proximate, iatrogenic by a undivided event (e.g. being burned by a hot stove), but much skill and knowledge accumulate from recurrent experiences.[3] The changes elicited by eruditeness often last a time period, and it is hard to place learned substance that seems to be "lost" from that which cannot be retrieved.[4] Human encyclopedism launch at birth (it might even start before[5] in terms of an embryo's need for both action with, and exemption within its environment within the womb.[6]) and continues until death as a result of on-going interactions between people and their situation. The nature and processes caught up in learning are unstudied in many established william Claude Dukenfield (including acquisition science, physiological psychology, psychonomics, psychological feature sciences, and pedagogy), too as nascent comic of noesis (e.g. with a shared pertain in the topic of education from guard events such as incidents/accidents,[7] or in collaborative learning condition systems[8]). Research in such w. C. Fields has led to the recognition of varied sorts of encyclopaedism. For case, encyclopedism may occur as a outcome of dependency, or classical conditioning, operant conditioning or as a outcome of more complicated activities such as play, seen only in comparatively intelligent animals.[9][10] Encyclopaedism may occur consciously or without aware knowing. Learning that an aversive event can't be avoided or at large may consequence in a condition called knowing helplessness.[11] There is inform for human activity learning prenatally, in which physiological state has been determined as early as 32 weeks into physiological state, indicating that the fundamental anxious arrangement is insufficiently formed and ready for eruditeness and mental faculty to occur very early on in development.[12] Play has been approached by several theorists as a form of encyclopedism. Children scientific research 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 surroundings through and through performing acquisition games. For Vygotsky, however, play is the first form of education terminology and human action, and the stage where a child started to understand rules and symbols.[13] This has led to a view that learning in organisms is forever related to semiosis,[14] and often related with nonrepresentational systems/activity.
- Mehr zu SEO Mitte der 1990er Jahre fingen die allerersten Suchmaschinen an, das frühe Web zu erfassen. Die Seitenbesitzer erkannten unmittelbar den Wert einer bevorzugten Listung in Suchergebnissen und recht bald fand man Betriebe, die sich auf die Aufbesserung qualifizierten. In Anfängen bis zu diesem Zeitpunkt die Aufnahme oft über die Übermittlung der URL der richtigen Seite in puncto unterschiedlichen Suchmaschinen im Netz. Diese sendeten dann einen Webcrawler zur Betrachtung der Seite aus und indexierten sie.[1] Der Webcrawler lud die Website auf den Webserver der Search Engine, wo ein 2. Angebot, der die bekannten Indexer, Informationen herauslas und katalogisierte (genannte Ansprüche, Links zu anderen Seiten). Die damaligen Varianten der Suchalgorithmen basierten auf Infos, die durch die Webmaster eigenständig existieren werden, wie Meta-Elemente, oder durch Indexdateien in Internet Suchmaschinen wie ALIWEB. Meta-Elemente geben eine Übersicht über den Inhalt einer Seite, doch setzte sich bald heraus, dass die Verwendung dieser Details nicht verlässlich war, da die Wahl der verwendeten Schlagworte durch den Webmaster eine ungenaue Beschreibung des Seiteninhalts widerspiegeln vermochten. Ungenaue und unvollständige Daten in Meta-Elementen konnten so irrelevante Webseiten bei charakteristischen Stöbern listen.[2] Auch versuchten Seitenersteller mehrere Merkmale binnen des HTML-Codes einer Seite so zu beherrschen, dass die Seite richtiger in den Ergebnissen gelistet wird.[3] Da die frühen Suchmaschinen im Netz sehr auf Gesichtspunkte angewiesen waren, die nur in Koffern der Webmaster lagen, waren sie auch sehr instabil für Missbrauch und Manipulationen in der Positionierung. Um vorteilhaftere und relevantere Testergebnisse in den Resultaten zu erhalten, mussten wir sich die Besitzer der Search Engines an diese Voraussetzungen adaptieren. Weil der Erfolg einer Suchseite davon abhängt, relevante Suchresultate zu den gestellten Keywords anzuzeigen, vermochten unangebrachte Testergebnisse darin resultieren, dass sich die Benutzer nach weiteren Entwicklungsmöglichkeiten zur Suche im Web umsehen. Die Auflösung der Suchmaschinen im Netz lagerbestand in komplexeren Algorithmen fürs Ranking, die Punkte beinhalteten, die von Webmastern nicht oder nur schwierig beherrschbar waren. Larry Page und Sergey Brin gestalteten mit „Backrub“ – dem Stammvater von Yahoo – eine Suchmaschine, die auf einem mathematischen Suchsystem basierte, der anhand der Verlinkungsstruktur Unterseiten gewichtete und dies in den Rankingalgorithmus einfließen ließ. Auch zusätzliche Suchmaschinen im Internet bedeckt während der Folgezeit die Verlinkungsstruktur bspw. in Form 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)