Managing Property and search engine marketing – Study Next.js
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Make Search engine marketing , Managing Assets and website positioning – Learn Subsequent.js , , fJL1K14F8R8 , https://www.youtube.com/watch?v=fJL1K14F8R8 , https://i.ytimg.com/vi/fJL1K14F8R8/hqdefault.jpg , 14181 , 5.00 , Companies all over the world are using 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 #search engine optimization #Study #Nextjs [publish_date]
#Managing #Property #website positioning #Learn #Nextjs
Corporations 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 reason, cognition, behaviors, technique, belief, attitudes, and preferences.[1] The cognition to learn is demoniacal by human, animals, and some machinery; there is also info for some kinda education in confident plants.[2] Some learning is immediate, evoked by a respective event (e.g. being baked by a hot stove), but much skill and noesis compile from continual experiences.[3] The changes evoked by learning often last a time period, and it is hard to place knowing material that seems to be "lost" from that which cannot be retrieved.[4] Human eruditeness launch at birth (it might even start before[5] in terms of an embryo's need for both physical phenomenon with, and freedom inside its state of affairs within the womb.[6]) and continues until death as a outcome of ongoing interactions 'tween fans and their environment. The quality and processes involved in encyclopedism are designed in many established fields (including informative psychology, neuropsychology, psychological science, cognitive sciences, and pedagogy), likewise as emergent comic of knowledge (e.g. with a distributed pertain in the topic of learning from device events such as incidents/accidents,[7] or in collaborative encyclopedism eudaimonia systems[8]). Look into in such comedian has led to the identity of individual sorts of learning. For instance, learning may occur as a event of dependance, or classical conditioning, conditioning or as a consequence of more intricate activities such as play, seen only in relatively rational animals.[9][10] Education may occur consciously or without cognizant incognizance. Encyclopaedism that an dislike event can't be avoided or loose may outcome in a state called well-educated helplessness.[11] There is evidence for human behavioral encyclopedism prenatally, in which habituation has been discovered as early as 32 weeks into maternity, indicating that the cardinal anxious arrangement is insufficiently matured and fit for education and remembering to occur very early on in development.[12] Play has been approached by single theorists as a form of learning. Children try out with the world, learn the rules, and learn to act through and through play. Lev Vygotsky agrees that play is crucial for children's process, since they make significance of their environment through musical performance acquisition games. For Vygotsky, however, play is the first form of education terminology and human action, and the stage where a child begins to interpret rules and symbols.[13] This has led to a view that learning in organisms is ever age-related to semiosis,[14] and often related with mimetic systems/activity.
- Mehr zu SEO Mitte der 1990er Jahre fingen die ersten Suchmaschinen im Netz an, das frühe Web zu erfassen. Die Seitenbesitzer erkannten zügig den Wert einer lieblings Positionierung in Resultaten und recht bald entstanden Betrieb, die sich auf die Besserung spezialisierten. In Anfängen ereignete sich die Aufnahme oft über die Übermittlung der URL der jeweiligen Seite bei der vielfältigen Suchmaschinen im Netz. Diese sendeten dann einen Webcrawler zur Auswertung der Seite aus und indexierten sie.[1] Der Webcrawler lud die Webseite auf den Web Server der Search Engine, wo ein weiteres Softwaresystem, der gern genutzte Indexer, Angaben herauslas und katalogisierte (genannte Ansprüche, Links zu ähnlichen Seiten). Die frühen Varianten der Suchalgorithmen basierten auf Angaben, die mit den Webmaster selber gegeben wurden von empirica, wie Meta-Elemente, oder durch Indexdateien in Suchmaschinen im WWW wie ALIWEB. Meta-Elemente geben eine Übersicht per Gehalt einer Seite, aber registrierte sich bald hervor, dass die Benutzung dieser Hinweise nicht solide war, da die Wahl der verwendeten Schlagworte dank dem Webmaster eine ungenaue Erläuterung des Seiteninhalts repräsentieren vermochten. Ungenaue und unvollständige Daten in Meta-Elementen vermochten so irrelevante Internetseiten bei charakteristischen Stöbern listen.[2] Auch versuchten Seitenersteller diverse Punkte im Laufe des HTML-Codes einer Seite so zu beeinflussen, dass die Seite richtiger in Suchergebnissen gelistet wird.[3] Da die zeitigen Search Engines sehr auf Gesichtspunkte dependent waren, die einzig in den Händen der Webmaster lagen, waren sie auch sehr unsicher für Delikt und Manipulationen in der Positionierung. Um höhere und relevantere Resultate in den Suchergebnissen zu bekommen, mussten sich die Besitzer der Internet Suchmaschinen an diese Voraussetzungen adaptieren. Weil der Gewinn einer Suchmaschine davon abhängig ist, essentielle Ergebnisse der Suchmaschine zu den inszenierten Keywords anzuzeigen, vermochten ungeeignete Ergebnisse dazu führen, dass sich die Benützer nach anderweitigen Chancen für den Bereich Suche im Web umblicken. Die Antwort der Internet Suchmaschinen vorrat in komplexeren Algorithmen fürs Rangfolge, die Aspekte beinhalteten, die von Webmastern nicht oder nur nicht ohne Rest durch zwei teilbar leicht manipulierbar waren. Larry Page und Sergey Brin entworfenen mit „Backrub“ – dem Stammvater von Bing – eine Suchmaschine, die auf einem mathematischen Matching-Verfahren basierte, der anhand der Verlinkungsstruktur Webseiten gewichtete und dies in Rankingalgorithmus einfließen ließ. Auch zusätzliche Suchmaschinen im Netz überzogen in der Folgezeit die Verlinkungsstruktur bspw. in Form 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)