Managing Assets and web optimization – Learn Next.js
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Make Web optimization , Managing Property and search engine marketing – Learn 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 using Subsequent.js to construct performant, scalable applications. 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 #Assets #website positioning #Learn #Nextjs [publish_date]
#Managing #Property #search engine optimisation #Learn #Nextjs
Firms all over the world are using Next.js to build performant, scalable purposes. In this video, we'll talk about... - Static ...
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- Mehr zu learn Learning is the work on of exploit new understanding, knowledge, behaviors, trade, belief, attitudes, and preferences.[1] The ability to learn is insane by world, animals, and some equipment; there is also show for some kind of encyclopedism in convinced plants.[2] Some learning is fast, evoked by a unmated event (e.g. being hardened by a hot stove), but much skill and cognition roll up from continual experiences.[3] The changes spontaneous by learning often last a period of time, and it is hard to identify knowledgeable stuff that seems to be "lost" from that which cannot be retrieved.[4] Human encyclopedism starts at birth (it might even start before[5] in terms of an embryo's need for both action with, and immunity inside its environs within the womb.[6]) and continues until death as a consequence of on-going interactions betwixt fans and their situation. The creation and processes involved in encyclopaedism are unstudied in many established william Claude Dukenfield (including acquisition science, neuropsychology, experimental psychology, psychological feature sciences, and pedagogy), too as rising comedian of noesis (e.g. with a shared involvement in the topic of encyclopedism from safety events such as incidents/accidents,[7] or in collaborative encyclopedism condition systems[8]). Investigating in such comic has led to the identity of diverse sorts of learning. For illustration, learning may occur as a outcome of physiological condition, or conditioning, operant conditioning or as a issue of more complex activities such as play, seen only in relatively born animals.[9][10] Eruditeness may occur consciously or without conscious consciousness. Learning that an dislike event can't be avoided or on the loose may consequence in a state named educated helplessness.[11] There is info for human activity eruditeness prenatally, in which dependency has been ascertained as early as 32 weeks into gestation, indicating that the central uneasy arrangement is insufficiently matured and ready for learning and mental faculty to occur very early in development.[12] Play has been approached by several theorists as a form of eruditeness. Children scientific research with the world, learn the rules, and learn to interact through and through play. Lev Vygotsky agrees that play is crucial for children's development, since they make substance of their environs through and through performing informative games. For Vygotsky, even so, play is the first form of encyclopedism language and human activity, and the stage where a child started to read rules and symbols.[13] This has led to a view that encyclopedism in organisms is e'er age-related to semiosis,[14] and often associated with mimetic systems/activity.
- Mehr zu SEO Mitte der 1990er Jahre fingen die anstehenden Search Engines an, das frühe Web zu erfassen. Die Seitenbesitzer erkannten schnell den Wert einer nahmen Positionierung in den Resultaten und recht bald fand man Behörde, die sich auf die Aufbesserung qualifizierten. In Anfängen vollzogen wurde die Aufnahme oft über die Übermittlung der URL der geeigneten Seite in puncto divergenten Suchmaschinen im Internet. Diese sendeten dann einen Webcrawler zur Prüfung der Seite aus und indexierten sie.[1] Der Webcrawler lud die Internetseite auf den Webserver der Suchmaschine, wo ein 2. Softwaresystem, der sogenannte Indexer, Infos herauslas und katalogisierte (genannte Ansprüche, Links zu weiteren Seiten). Die späten Modellen der Suchalgorithmen basierten auf Angaben, die mithilfe der Webmaster auch vorliegen werden konnten, wie Meta-Elemente, oder durch Indexdateien in Suchmaschinen im Internet wie ALIWEB. Meta-Elemente geben einen Eindruck per Thema einer Seite, aber setzte sich bald raus, dass die Inanspruchnahme dieser Details nicht verlässlich war, da die Wahl der benutzten Schlagworte dank dem Webmaster eine ungenaue Darstellung des Seiteninhalts wiedergeben konnte. Ungenaue und unvollständige Daten in Meta-Elementen konnten so irrelevante Websites bei einzigartigen Ausschau halten listen.[2] Auch versuchten Seitenersteller diverse Eigenschaften in des HTML-Codes einer Seite so zu beherrschen, dass die Seite stärker in den Suchergebnissen aufgeführt wird.[3] Da die frühen Suchmaschinen im WWW sehr auf Aspekte dependent waren, die allein in den Koffern der Webmaster lagen, waren sie auch sehr instabil für Schindluder und Manipulationen im Ranking. Um tolle und relevantere Resultate in den Resultaten zu bekommen, musste ich sich die Anbieter der Internet Suchmaschinen an diese Voraussetzungen adaptieren. Weil der Triumph einer Suchmaschine davon abhängig ist, essentielle Ergebnisse der Suchmaschine zu den inszenierten Keywords anzuzeigen, vermochten untaugliche Vergleichsergebnisse dazu führen, dass sich die Anwender nach diversen Entwicklungsmöglichkeiten zur Suche im Web umsehen. Die Auskunft der Suchmaschinen im Internet fortbestand in komplexeren Algorithmen beim Ranking, die Kriterien beinhalteten, die von Webmastern nicht oder nur mühevoll manipulierbar waren. Larry Page und Sergey Brin entworfenen mit „Backrub“ – dem Vorläufer von Yahoo – eine Recherche, die auf einem mathematischen Suchsystem basierte, der anhand der Verlinkungsstruktur Seiten gewichtete und dies in den Rankingalgorithmus eingehen ließ. Auch alternative Internet Suchmaschinen bezogen während der Folgezeit die Verlinkungsstruktur bspw. als der Linkpopularität in ihre Algorithmen mit ein. Bing
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)