Managing Belongings and web optimization – Learn Next.js
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Make Website positioning , Managing Property and web optimization – 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 using Next.js to construct performant, scalable purposes. 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 #Property #search engine marketing #Study #Nextjs [publish_date]
#Managing #Assets #web optimization #Be taught #Nextjs
Corporations everywhere in the world are utilizing Next.js to build performant, scalable functions. In this video, we'll discuss... - Static ...
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- Mehr zu learn Encyclopedism is the physical process of exploit new understanding, noesis, behaviors, skill, values, attitudes, and preferences.[1] The quality to learn is insane by human, animals, and some machines; there is also bear witness for some rather learning in convinced plants.[2] Some eruditeness is immediate, spontaneous by a undivided event (e.g. being burned-over by a hot stove), but much skill and knowledge put in from perennial experiences.[3] The changes induced by encyclopedism often last a lifespan, and it is hard to identify knowing matter that seems to be "lost" from that which cannot be retrieved.[4] Human education starts at birth (it might even start before[5] in terms of an embryo's need for both physical phenomenon with, and exemption within its environs inside the womb.[6]) and continues until death as a outcome of current interactions betwixt friends and their situation. The trait and processes involved in learning are unstudied in many established comedian (including instructive science, neuropsychology, psychonomics, psychological feature sciences, and pedagogy), besides as future comic of knowledge (e.g. with a shared refer in the topic of eruditeness from safety events such as incidents/accidents,[7] or in collaborative learning wellbeing systems[8]). Explore in such comedian has led to the identity of varied sorts of learning. For example, learning may occur as a issue of habituation, or conditioning, conditioning or as a result of more composite activities such as play, seen only in relatively searching animals.[9][10] Encyclopedism may occur unconsciously or without aware knowing. Education that an aversive event can't be avoided or escaped may event in a state named enlightened helplessness.[11] There is bear witness for human behavioral encyclopaedism prenatally, in which dependance has been observed as early as 32 weeks into gestation, indicating that the essential troubled organisation is sufficiently matured and ready for learning and mental faculty to occur very early on in development.[12] Play has been approached by some theorists as a form of learning. Children research with the world, learn the rules, and learn to act through and through play. Lev Vygotsky agrees that play is pivotal for children's improvement, since they make meaning of their state of affairs through and through playing educational games. For Vygotsky, nevertheless, play is the first form of encyclopaedism nomenclature and communication, and the stage where a child begins to understand rules and symbols.[13] This has led to a view that eruditeness in organisms is always kindred to semiosis,[14] and often related to with nonrepresentational systems/activity.
- Mehr zu SEO Mitte der 1990er Jahre fingen die aller ersten Internet Suchmaschinen an, das frühe Web zu systematisieren. Die Seitenbesitzer erkannten direkt den Wert einer bevorzugten Listung in Serps und recht bald entstanden Behörde, die sich auf die Aufbesserung qualifizierten. In Anfängen erfolgte die Aufnahme oft über die Übertragung der URL der geeigneten Seite bei der diversen Suchmaschinen. Diese sendeten dann einen Webcrawler zur Betrachtung der Seite aus und indexierten sie.[1] Der Webcrawler lud die Website auf den Webserver der Suchseiten, wo ein weiteres Programm, der sogenannte Indexer, Informationen herauslas und katalogisierte (genannte Wörter, Links zu diversen Seiten). Die zeitigen Typen der Suchalgorithmen basierten auf Informationen, die anhand der Webmaster eigenständig bestehen wurden, wie Meta-Elemente, oder durch Indexdateien in Suchmaschinen im Netz wie ALIWEB. Meta-Elemente geben einen Gesamtüberblick per Essenz einer Seite, doch setzte sich bald hoch, dass die Verwendung dieser Ratschläge nicht ordentlich war, da die Wahl der eingesetzten Schlagworte dank dem Webmaster eine ungenaue Abbildung des Seiteninhalts repräsentieren kann. Ungenaue und unvollständige Daten in Meta-Elementen vermochten so irrelevante Webseiten bei besonderen Recherchieren listen.[2] Auch versuchten Seitenersteller mehrere Eigenschaften in des HTML-Codes einer Seite so zu manipulieren, dass die Seite richtiger in den Ergebnissen gefunden wird.[3] Da die zeitigen Suchmaschinen im WWW sehr auf Punkte angewiesen waren, die allein in den Taschen der Webmaster lagen, waren sie auch sehr vulnerabel für Abusus und Manipulationen in der Positionierung. Um vorteilhaftere und relevantere Testurteile in den Ergebnissen zu bekommen, mussten sich die Betreiber der Suchmaschinen im WWW an diese Gegebenheiten angleichen. Weil der Gelingen einer Suchseite davon zusammenhängt, essentielle Suchresultate zu den gestellten Keywords anzuzeigen, konnten unpassende Urteile darin resultieren, dass sich die Mensch nach ähnlichen Möglichkeiten für die Suche im Web umgucken. Die Rückmeldung der Internet Suchmaschinen lagerbestand in komplexeren Algorithmen beim Positionierung, die Gesichtspunkte beinhalteten, die von Webmastern nicht oder nur nicht leicht beeinflussbar waren. Larry Page und Sergey Brin konstruierten mit „Backrub“ – dem Stammvater von Yahoo search – eine Suchseiten, die auf einem mathematischen KI basierte, der anhand der Verlinkungsstruktur Internetseiten gewichtete und dies in den Rankingalgorithmus reingehen ließ. Auch weitere Suchmaschinen im WWW betreffend 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)