Managing Belongings and web optimization – Study Next.js
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Make Web optimization , 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 Subsequent.js to build performant, scalable functions. In 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 #Belongings #web optimization #Study #Nextjs [publish_date]
#Managing #Assets #web optimization #Study #Nextjs
Companies all around the world are using Subsequent.js to build performant, scalable functions. On this video, we'll speak about... - Static ...
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- Mehr zu learn Eruditeness is the procedure of getting new reason, knowledge, behaviors, profession, belief, attitudes, and preferences.[1] The inability to learn is controlled by human, animals, and some machines; there is also bear witness for some sort of eruditeness in confident plants.[2] Some encyclopedism is straightaway, spontaneous by a single event (e.g. being unburned by a hot stove), but much skill and cognition compile from perennial experiences.[3] The changes elicited by encyclopedism often last a lifetime, and it is hard to qualify well-educated material that seems to be "lost" from that which cannot be retrieved.[4] Human eruditeness initiate at birth (it might even start before[5] in terms of an embryo's need for both fundamental interaction with, and immunity within its environment within the womb.[6]) and continues until death as a consequence of ongoing interactions betwixt fans and their situation. The existence and processes caught up in eruditeness are unnatural in many constituted fields (including informative science, psychological science, experimental psychology, cognitive sciences, and pedagogy), as well as emergent fields of noesis (e.g. with a common pertain in the topic of learning from device events such as incidents/accidents,[7] or in collaborative learning well-being systems[8]). Look into in such fields has led to the identity of diverse sorts of education. For exemplar, learning may occur as a result of dependance, or conditioning, operant conditioning or as a outcome of more interwoven activities such as play, seen only in relatively born animals.[9][10] Education may occur unconsciously or without cognizant cognisance. Learning that an dislike event can't be avoided or at large may issue in a shape titled well-educated helplessness.[11] There is inform for human behavioural encyclopedism prenatally, in which physiological state has been discovered as early as 32 weeks into construction, indicating that the basic uneasy organization is sufficiently developed and set for education and faculty to occur very early on in development.[12] Play has been approached by respective theorists as a form of learning. Children try out with the world, learn the rules, and learn to act through play. Lev Vygotsky agrees that play is pivotal for children's maturation, since they make meaning of their state of affairs through performing arts informative games. For Vygotsky, yet, play is the first form of eruditeness nomenclature 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 definitely affiliated to semiosis,[14] and often associated with nonrepresentational systems/activity.
 - Mehr zu SEO Mitte der 1990er Jahre fingen die anstehenden Suchmaschinen im WWW an, das frühe Web zu ordnen. Die Seitenbesitzer erkannten flott den Wert einer bevorzugten Positionierung in Ergebnissen und recht bald fand man Einrichtung, die sich auf die Besserung ausgebildeten. In Anfängen erfolgte die Aufnahme oft bezüglich der Übermittlung der URL der speziellen Seite in puncto verschiedenen Suchmaschinen im Netz. Diese sendeten dann einen Webcrawler zur Auswertung der Seite aus und indexierten sie.[1] Der Webcrawler lud die Homepage auf den Webserver der Anlaufstelle, wo ein zweites Software, der so genannte Indexer, Infos herauslas und katalogisierte (genannte Ansprüche, Links zu diversen Seiten). Die frühen Varianten der Suchalgorithmen basierten auf Angaben, die anhand der Webmaster selber vorhanden werden, wie Meta-Elemente, oder durch Indexdateien in Suchmaschinen wie ALIWEB. Meta-Elemente geben einen Gesamtüberblick per Gehalt einer Seite, allerdings registrierte sich bald raus, dass die Einsatz dieser Hinweise nicht verlässlich war, da die Wahl der genutzten Schlüsselworte durch den Webmaster eine ungenaue Beschreibung des Seiteninhalts repräsentieren kann. Ungenaue und unvollständige Daten in Meta-Elementen vermochten so irrelevante Internetseiten bei speziellen Suchen listen.[2] Auch versuchten Seitenersteller verschiedene Punkte in einem Zeitraum des HTML-Codes einer Seite so zu beherrschen, dass die Seite passender in den Serps aufgeführt wird.[3] Da die neuzeitlichen Suchmaschinen im WWW sehr auf Punkte dependent waren, die ausschließlich in den Händen der Webmaster lagen, waren sie auch sehr anfällig für Abusus und Manipulationen im Ranking. Um überlegenere und relevantere Testergebnisse in Serps zu erhalten, mussten sich die Inhaber der Suchmaschinen im Internet an diese Ereignisse angleichen. Weil der Ergebnis einer Anlaufstelle davon abhängig ist, wichtigste Ergebnisse der Suchmaschine zu den inszenierten Suchbegriffen anzuzeigen, konnten unangebrachte Testurteile darin resultieren, dass sich die Benützer nach sonstigen Wege bei dem Suche im Web umsehen. Die Auflösung der Suchmaschinen im Netz inventar in komplexeren Algorithmen beim Rangfolge, die Merkmalen beinhalteten, die von Webmastern nicht oder nur nicht ohne Rest durch zwei teilbar leicht steuerbar waren. Larry Page und Sergey Brin entworfenen mit „Backrub“ – dem Vorläufer von Suchmaschinen – eine Anlaufstelle, die auf einem mathematischen Suchsystem basierte, der mit Hilfe der Verlinkungsstruktur Unterseiten gewichtete und dies in den Rankingalgorithmus einfließen ließ. Auch übrige Suchmaschinen im Netz orientiert während der Folgezeit die Verlinkungsstruktur bspw. in Form 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)