Managing Assets and web optimization – Study Next.js
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Make Search engine optimisation , Managing Belongings and search engine marketing – Be taught 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 utilizing Next.js to construct performant, scalable applications. 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 #Assets #web optimization #Study #Nextjs [publish_date]
#Managing #Belongings #web optimization #Study #Nextjs
Companies all over the world are utilizing Next.js to build performant, scalable purposes. On this video, we'll discuss... - Static ...
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- Mehr zu learn Eruditeness is the procedure of exploit new disposition, cognition, behaviors, profession, belief, attitudes, and preferences.[1] The inability to learn is possessed by human, animals, and some machines; there is also show for some sort of eruditeness in confident plants.[2] Some eruditeness is present, induced by a single event (e.g. being baked by a hot stove), but much skill and cognition put in from continual experiences.[3] The changes induced by encyclopedism often last a lifespan, and it is hard to identify conditioned material that seems to be "lost" from that which cannot be retrieved.[4] Human learning initiate at birth (it might even start before[5] in terms of an embryo's need for both fundamental interaction with, and immunity inside its environs within the womb.[6]) and continues until death as a outcome of on-going interactions 'tween citizenry and their situation. The nature and processes active in encyclopedism are deliberate in many established fields (including learning science, psychology, experimental psychology, psychological feature sciences, and pedagogy), as well as emergent fields of noesis (e.g. with a shared pertain in the topic of encyclopedism from safety events such as incidents/accidents,[7] or in collaborative education wellbeing systems[8]). Investigating in such fields has led to the identity of assorted sorts of eruditeness. For instance, encyclopaedism may occur as a issue of accommodation, or conditioning, conditioning or as a consequence of more intricate activities such as play, seen only in relatively rational animals.[9][10] Encyclopaedism may occur consciously or without aware knowingness. Encyclopaedism that an aversive event can't be avoided or free may event in a shape titled well-educated helplessness.[11] There is inform for human behavioral learning prenatally, in which habituation has been observed as early as 32 weeks into maternity, indicating that the basic anxious organization is sufficiently formed and fit for eruditeness and remembering to occur very early in development.[12] Play has been approached by respective theorists as a form of education. Children enquiry with the world, learn the rules, and learn to interact through play. Lev Vygotsky agrees that play is pivotal for children's maturation, since they make significance of their situation through and through playing instructive games. For Vygotsky, nonetheless, play is the first form of encyclopaedism language and communication, and the stage where a child begins to realize rules and symbols.[13] This has led to a view that education in organisms is forever related to semiosis,[14] and often related with nonrepresentational systems/activity.
- Mehr zu SEO Mitte der 1990er Jahre fingen die 1. Suchmaschinen im Internet an, das frühe Web zu katalogisieren. Die Seitenbesitzer erkannten unmittelbar den Wert einer bevorzugten Listung in Serps und recht bald entstanden Unternehmen, die sich auf die Aufwertung qualifizierten. In den Anfängen bis zu diesem Zeitpunkt die Aufnahme oft bezüglich der Übermittlung der URL der passenden Seite in puncto vielfältigen Internet Suchmaschinen. Diese sendeten dann einen Webcrawler zur Auswertung der Seite aus und indexierten sie.[1] Der Webcrawler lud die Internetpräsenz auf den Server der Suchseite, wo ein zweites Anwendung, der allgemein so benannte Indexer, Informationen herauslas und katalogisierte (genannte Ansprüche, Links zu diversen Seiten). Die neuzeitlichen Typen der Suchalgorithmen basierten auf Angaben, die aufgrund der Webmaster sogar gegeben werden konnten, wie Meta-Elemente, oder durch Indexdateien in Suchmaschinen im WWW wie ALIWEB. Meta-Elemente geben einen Eindruck mit Thema einer Seite, allerdings setzte sich bald hervor, dass die Inanspruchnahme er Vorschläge nicht zuverlässig war, da die Wahl der benutzten Schlagworte dank dem Webmaster eine ungenaue Präsentation des Seiteninhalts sonstige Verben vermochten. Ungenaue und unvollständige Daten in Meta-Elementen vermochten so irrelevante Kanten bei spezifischen Benötigen listen.[2] Auch versuchten Seitenersteller unterschiedliche Attribute binnen des HTML-Codes einer Seite so zu beeinflussen, dass die Seite passender in den Ergebnissen aufgeführt wird.[3] Da die damaligen Suchmaschinen im Netz sehr auf Faktoren dependent waren, die ausschließlich in den Fingern der Webmaster lagen, waren sie auch sehr empfänglich für Falscher Gebrauch und Manipulationen im Ranking. Um höhere und relevantere Resultate in den Suchergebnissen zu erhalten, mussten wir sich die Betreiber der Suchmaschinen im WWW an diese Rahmenbedingungen adjustieren. Weil der Riesenerfolg einer Search Engine davon zusammenhängt, wichtigste Suchresultate zu den gestellten Suchbegriffen anzuzeigen, vermochten ungünstige Ergebnisse zur Folge haben, dass sich die Mensch nach anderweitigen Wege für die Suche im Web umgucken. Die Lösung der Suchmaschinen inventar in komplexeren Algorithmen fürs Rangfolge, die Punkte beinhalteten, die von Webmastern nicht oder nur schwierig steuerbar waren. Larry Page und Sergey Brin gestalteten mit „Backrub“ – dem Stammvater von Google – eine Suchseiten, die auf einem mathematischen Matching-Verfahren basierte, der anhand der Verlinkungsstruktur Webseiten gewichtete und dies in Rankingalgorithmus einfluss besitzen ließ. Auch sonstige Suchmaschinen im Netz orientiert während der Folgezeit die Verlinkungsstruktur bspw. gesund 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)