Managing Assets and web optimization – Study Next.js
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Make Search engine optimization , Managing Assets and search engine optimization – Study Next.js , , fJL1K14F8R8 , https://www.youtube.com/watch?v=fJL1K14F8R8 , https://i.ytimg.com/vi/fJL1K14F8R8/hqdefault.jpg , 14181 , 5.00 , Companies all around the world are utilizing Subsequent.js to build performant, scalable functions. On 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 #Assets #search engine marketing #Study #Nextjs [publish_date]
#Managing #Belongings #website positioning #Be taught #Nextjs
Firms everywhere in the world are using Next.js to build performant, scalable functions. On this video, we'll discuss... - Static ...
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- Mehr zu learn Education is the procedure of feat new apprehension, cognition, behaviors, technique, belief, attitudes, and preferences.[1] The ability to learn is berserk by world, animals, and some machinery; there is also inform for some kind of education in certain plants.[2] Some education is proximate, spontaneous by a respective event (e.g. being burned by a hot stove), but much skill and knowledge compile from recurrent experiences.[3] The changes elicited by encyclopaedism often last a period, and it is hard to identify conditioned substance that seems to be "lost" from that which cannot be retrieved.[4] Human encyclopaedism begins to at birth (it might even start before[5] in terms of an embryo's need for both fundamental interaction with, and freedom within its surroundings inside the womb.[6]) and continues until death as a consequence of ongoing interactions betwixt friends and their environs. The creation and processes active in encyclopaedism are studied in many constituted w. C. Fields (including informative science, physiological psychology, experimental psychology, cognitive sciences, and pedagogy), likewise as rising fields of cognition (e.g. with a common involvement in the topic of encyclopedism from safety events such as incidents/accidents,[7] or in cooperative encyclopaedism wellbeing systems[8]). Investigate in such fields has led to the designation of varied sorts of encyclopaedism. For instance, learning may occur as a issue of accommodation, or classical conditioning, operant conditioning or as a result of more complex activities such as play, seen only in relatively rational animals.[9][10] Eruditeness may occur consciously or without aware knowingness. Eruditeness that an aversive event can't be avoided or free may consequence in a condition known as well-educated helplessness.[11] There is show for human behavioural eruditeness prenatally, in which dependency has been determined as early as 32 weeks into maternity, indicating that the fundamental troubled organization is insufficiently formed and primed for eruditeness and mental faculty to occur very early in development.[12] Play has been approached by respective theorists as a form of encyclopedism. Children enquiry with the world, learn the rules, and learn to act through play. Lev Vygotsky agrees that play is crucial for children's maturation, since they make meaning of their environment through and through performing learning games. For Vygotsky, however, play is the first form of encyclopedism nomenclature and human action, and the stage where a child begins to see rules and symbols.[13] This has led to a view that education in organisms is always age-related to semiosis,[14] and often related with nonrepresentational systems/activity.
- Mehr zu SEO Mitte der 1990er Jahre fingen die anfänglichen Suchmaschinen im Internet an, das frühe Web zu systematisieren. Die Seitenbesitzer erkannten rasch den Wert einer nahmen Listung in Ergebnissen und recht bald fand man Anstalt, die sich auf die Verfeinerung spezialisierten. In den Anfängen passierte die Aufnahme oft über die Übermittlung der URL der passenden Seite bei der unterschiedlichen Suchmaschinen im WWW. Diese sendeten dann einen Webcrawler zur Untersuchung der Seite aus und indexierten sie.[1] Der Webcrawler lud die Webseite auf den Server der Suchseite, wo ein zweites Software, der gern genutzte Indexer, Angaben herauslas und katalogisierte (genannte Wörter, Links zu anderen Seiten). Die späten Versionen der Suchalgorithmen basierten auf Angaben, die anhand der Webmaster selber existieren werden konnten, wie Meta-Elemente, oder durch Indexdateien in Suchmaschinen wie ALIWEB. Meta-Elemente geben eine Übersicht per Gehalt einer Seite, dennoch stellte sich bald raus, dass die Einsatz dieser Details nicht vertrauenswürdig war, da die Wahl der gebrauchten Schlüsselworte durch den Webmaster eine ungenaue Abbildung des Seiteninhalts repräsentieren vermochten. Ungenaue und unvollständige Daten in den Meta-Elementen konnten so irrelevante Unterseiten bei besonderen Stöbern listen.[2] Auch versuchten Seitenersteller verschiedenartige Attribute in einem Zeitraum des HTML-Codes einer Seite so zu manipulieren, dass die Seite überlegen in Serps gelistet wird.[3] Da die frühen Suchmaschinen sehr auf Kriterien angewiesen waren, die bloß in Händen der Webmaster lagen, waren sie auch sehr vulnerabel für Falscher Gebrauch und Manipulationen in der Positionierung. Um gehobenere und relevantere Ergebnisse in den Ergebnissen zu erhalten, musste ich sich die Anbieter der Suchmaschinen im Internet an diese Faktoren integrieren. Weil der Triumph einer Search Engine davon zusammenhängt, besondere Suchresultate zu den inszenierten Suchbegriffen anzuzeigen, vermochten unangebrachte Testurteile darin resultieren, dass sich die User nach sonstigen Möglichkeiten zur Suche im Web umschauen. Die Lösung der Suchmaschinen inventar in komplexeren Algorithmen beim Platz, die Faktoren beinhalteten, die von Webmastern nicht oder nur mühevoll steuerbar waren. Larry Page und Sergey Brin gestalteten mit „Backrub“ – dem Urahn von Suchmaschinen – eine Suchseiten, die auf einem mathematischen KI basierte, der anhand der Verlinkungsstruktur Websites gewichtete und dies in Rankingalgorithmus einfluss besitzen ließ. Auch zusätzliche Suchmaschinen betreffend in der Folgezeit die Verlinkungsstruktur bspw. als 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)