ODBIERZ TWÓJ BONUS :: »

MobX Quick Start Guide. Supercharge the client state in your React apps with MobX Pavan Podila, Michel Weststrate

Język publikacji: 1
MobX Quick Start Guide. Supercharge the client state in your React apps with MobX Pavan Podila, Michel Weststrate - okladka książki

MobX Quick Start Guide. Supercharge the client state in your React apps with MobX Pavan Podila, Michel Weststrate - okladka książki

Autorzy:
Pavan Podila, Michel Weststrate
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
236
Dostępne formaty:
     PDF
     ePub
     Mobi

Ebook 29,90 zł najniższa cena z 30 dni

89,90 zł (-10%)
80,91 zł

Dodaj do koszyka lub Kup na prezent Kup 1-kliknięciem

29,90 zł najniższa cena z 30 dni

Poleć tę książkę znajomemu Poleć tę książkę znajomemu!!

Przenieś na półkę

Do przechowalni

Prezent last minute w ebookpoint.pl
MobX is a simple and highly scalable state management library in JavaScript. Its abstractions can help you manage state in small to extremely large applications. However, if you are just starting out, it is essential to have a guide that can help you take the first steps. This book aims to be that guide that will equip you with the skills needed to use MobX and effectively handle the state management aspects of your application.

You will first learn about observables, actions, and reactions: the core concepts of MobX. To see how MobX really shines and simplifies state management, you'll work through some real-world use cases. Building on these core concepts and use cases, you will learn about advanced MobX, its APIs, and libraries that extend MobX.

By the end of this book, you will not only have a solid conceptual understanding of MobX, but also practical experience. You will gain the confidence to tackle many of the common state management problems in your own projects.

Wybrane bestsellery

O autorach książki

Pavan Podila has been building frontend applications since 2001 and has used a variety of tools, technologies, and platforms, from Java Swing, WPF with .Net/C#, Cocoa on macOS and iOS, to the web platform with frameworks like React and Angular. He has been working with React since 2013 and MobX since 2016. He is a colead of the Interactive Practice at Publicis.Sapient, where he builds large financial apps for web and mobile platforms. Earlier, he was a Microsoft MVP for client application development (2008-2011), a published author of WPF Control Development Unleashed (Addison-Wesley). He created QuickLens, a Mac App for UI designers/developers, and authored several articles and video courses on Tuts+. Pavan is a Google Developer Expert (GDE) for web technologies and currently authors courses on The UI Dev. He is a regular speaker at meetups, conferences, and workshops. When time permits, you can find him sketching on iPad or playing Ping-Pong.
Michel Weststrate (Msc) is tech lead and open source evangelist at Mendix. He has been active as both a frontend and backend developer in different stacks. An occasional speaker at software conferences, he has authored video courses on egghead. Intrigued by several (transparent) reactive programming libraries, he researched and worked on making the ReactJS framework more reactive while addressing predictability and maintainability constraints in other solutions. This led to mobservable (nowadays MobX), which was quickly adopted at Mendix. He's very active in the open source software community, and he authored MobX, Immer, and several small libraries, and coauthored MobX-state-tree.

Packt Publishing - inne książki

Zamknij

Przenieś na półkę
Dodano produkt na półkę
Usunięto produkt z półki
Przeniesiono produkt do archiwum
Przeniesiono produkt do biblioteki

Zamknij

Wybierz metodę płatności

Ebook
80,91 zł
Dodaj do koszyka
Sposób płatności
Zabrania się wykorzystania treści strony do celów eksploracji tekstu i danych (TDM), w tym eksploracji w celu szkolenia technologii AI i innych systemów uczenia maszynowego. It is forbidden to use the content of the site for text and data mining (TDM), including mining for training AI technologies and other machine learning systems.