Managing Assets and search engine optimization – Be taught Next.js
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Make Search engine marketing , Managing Belongings and web optimization – Learn Next.js , , fJL1K14F8R8 , https://www.youtube.com/watch?v=fJL1K14F8R8 , https://i.ytimg.com/vi/fJL1K14F8R8/hqdefault.jpg , 14181 , 5.00 , Firms all around the world are using Subsequent.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 #Property #web optimization #Be taught #Nextjs [publish_date]
#Managing #Assets #SEO #Study #Nextjs
Firms all around the world are using Subsequent.js to build performant, scalable functions. On this video, we'll talk about... - Static ...
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- Mehr zu learn Encyclopaedism is the physical process of getting new understanding, cognition, behaviors, technique, values, attitudes, and preferences.[1] The inability to learn is demoniac by humanity, animals, and some machinery; there is also info for some sort of learning in convinced plants.[2] Some eruditeness is fast, iatrogenic by a undivided event (e.g. being unburned by a hot stove), but much skill and noesis amass from continual experiences.[3] The changes elicited by eruditeness often last a time period, and it is hard to place conditioned substantial that seems to be "lost" from that which cannot be retrieved.[4] Human eruditeness get going at birth (it might even start before[5] in terms of an embryo's need for both action with, and freedom inside its surroundings inside the womb.[6]) and continues until death as a consequence of current interactions 'tween folk and their surroundings. The quality and processes active in learning are deliberate in many constituted fields (including instructive science, neuropsychology, psychonomics, cognitive sciences, and pedagogy), besides as emerging fields of noesis (e.g. with a common pertain in the topic of encyclopaedism from guard events such as incidents/accidents,[7] or in cooperative encyclopaedism well-being systems[8]). Investigation in such fields has led to the recognition of diverse sorts of education. For example, learning may occur as a issue of dependance, or classical conditioning, operant conditioning or as a event of more composite activities such as play, seen only in relatively intelligent animals.[9][10] Learning may occur consciously or without cognizant awareness. Encyclopedism that an dislike event can't be avoided or at large may outcome in a condition called well-educated helplessness.[11] There is inform for human behavioral education prenatally, in which addiction has been ascertained as early as 32 weeks into gestation, indicating that the cardinal anxious organization is insufficiently developed and ready for encyclopaedism and memory to occur very early in development.[12] Play has been approached by single theorists as a form of education. Children experiment with the world, learn the rules, and learn to interact through and through play. Lev Vygotsky agrees that play is crucial for children's process, since they make meaning of their environment through and through playing educational games. For Vygotsky, even so, play is the first form of eruditeness word and human action, and the stage where a child started to read rules and symbols.[13] This has led to a view that eruditeness in organisms is e'er kindred to semiosis,[14] and often joint with naturalistic systems/activity.
- Mehr zu SEO Mitte der 1990er Jahre fingen die aller ersten Internet Suchmaschinen an, das frühe Web zu katalogisieren. Die Seitenbesitzer erkannten zügig den Wert einer nahmen Positionierung in den Serps und recht bald entwickelten sich Betrieb, die sich auf die Besserung ausgebildeten. In Anfängen vollzogen wurde der Antritt oft zu der Transfer der URL der geeigneten Seite bei der unterschiedlichen Internet Suchmaschinen. Diese sendeten dann einen Webcrawler zur Untersuchung der Seite aus und indexierten sie.[1] Der Webcrawler lud die Internetseite auf den Server der Suchseiten, wo ein 2. Anwendung, der gern genutzte Indexer, Informationen herauslas und katalogisierte (genannte Wörter, Links zu diversen Seiten). Die damaligen Modellen der Suchalgorithmen basierten auf Angaben, die aufgrund der Webmaster sogar vorliegen worden sind, wie Meta-Elemente, oder durch Indexdateien in Suchmaschinen wie ALIWEB. Meta-Elemente geben einen Eindruck über den Essenz einer Seite, aber registrierte sich bald raus, dass die Verwendung er Hinweise nicht zuverlässig war, da die Wahl der benutzten Schlüsselworte dank dem Webmaster eine ungenaue Erläuterung des Seiteninhalts wiedergeben konnte. Ungenaue und unvollständige Daten in Meta-Elementen konnten so irrelevante Websites bei spezifischen Suchen listen.[2] Auch versuchten Seitenersteller vielfältige Fähigkeiten in einem Zeitraum des HTML-Codes einer Seite so zu beeinflussen, dass die Seite passender in Resultaten aufgeführt wird.[3] Da die damaligen Suchmaschinen im Internet sehr auf Faktoren dependent waren, die allein in den Händen der Webmaster lagen, waren sie auch sehr anfällig für Schindluder und Manipulationen in der Positionierung. Um bessere und relevantere Resultate in Resultaten zu erhalten, mussten sich die Unternhemer der Suchmaschinen im Netz an diese Gegebenheiten adaptieren. Weil der Ergebnis einer Search Engine davon zusammenhängt, wesentliche Ergebnisse der Suchmaschine zu den gestellten Suchbegriffen anzuzeigen, konnten unpassende Vergleichsergebnisse darin resultieren, dass sich die Benutzer nach anderweitigen Chancen für die Suche im Web umschauen. Die Auskunft der Suchmaschinen lagerbestand in komplexeren Algorithmen fürs Rangordnung, die Aspekte beinhalteten, die von Webmastern nicht oder nur mühevoll beherrschbar waren. Larry Page und Sergey Brin entwickelten mit „Backrub“ – dem Urahn von Google – eine Suchmaschine, die auf einem mathematischen Suchsystem basierte, der mit Hilfe der Verlinkungsstruktur Websites gewichtete und dies in Rankingalgorithmus reingehen ließ. Auch andere Suchmaschinen im Internet bezogen bei 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)