Getting started with Next.js

Mar 13, 20200 likes2,371 views

The document provides a guide for getting started with Next.js, emphasizing its ease of use and features like server-side rendering (SSR) and code splitting. It outlines steps for setting up a project from scratch and using Next.js, highlighting its advantages, including SEO optimization and ready-to-use configurations. The document concludes with key references for further information on React and Next.js.

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Getting started with Next.js
Feb 27, 2020
Gokhan Sari
@hgokhansari
WebGazer

component
/kəmˈpoʊ.nənt/
a part that combines with other parts to form
something bigger

Starting a React project
Webpack
Babel
Routing

Going to production
Static export
Code splitting
Server-side rendering

React doesn’t have these.
And that’s a good thing!

Starting a project
(from scratch)
1. yarn init best-app-ever
2. yarn add --dev webpack
3. Start to read about babel and presets
4. Understand the history of javascript
5. Set up webpack loaders for images
6. Set up hot code reloading for dev environment
7. ….

Starting a project
(Next.js)
$ yarn create next-app

Starting a project
(Next.js)
● Batteries included
● Sane defaults
● Fully extensible
● Ready for production

Server-Side Rendering
(SSR)
and
Client-Side Rendering
(CSR)

Server-Side Rendering (SSR)
First page is ready to render
HTML, like good old days
And then we have a regular
single-page application

Server-Side Rendering (SSR)
■ Search engine optimization
■ Social media optimization
■ User experience

Code splitting
bundle.js
The user doesn’t need all of your 19 MB bundle.js in
order to see your ‘about’ page.

Code splitting
It breaks javascript bundle into pieces and loads only when
needed.
users.js
x.js
products.js
y.js
z.js
common.js
users.js
products.js

Code splitting
Next.js does automatic code splitting and it is based on
the pages in your app.
“For example, if one of your modules is used at-least in half of
your pages, then it moves into the main JavaScript bundle. If
not, that module stays inside the page's bundle.”

Static exporting
● Marketing websites
● Documentations
● Blogs

To sum up
● Boilerplate-free
● Featureful by default
● Server-side rendering
● Code splitting
● Static exporting
● UNOPINIONATED

References
● Cambridge dictionary (https://dictionary.cambridge.org)
● React Documentation (https://reactjs.org/docs/)
● Next.js Documentation (https://nextjs.org/docs/)
● Reddit - /r/ProgrammerHumor
(https://www.reddit.com/r/ProgrammerHumor/)

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This presentation will showcase an adapter for FME Flow that provides REST endpoints for FME Workspaces following the OGC API Processes specification. The implementation delivers robust, user-friendly API endpoints, including standardized methods for parameter provision. Additionally, it enhances security and user management by supporting OAuth2 authentication. Join us to discover how these advancements can elevate your enterprise integration workflows and ensure seamless, secure interactions with FME Flow.

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Mastering AI Workflows with FME - Peak of Data & AI 2025Safe Software

Harness the full potential of AI with FME: From creating high-quality training data to optimizing models and utilizing results, FME supports every step of your AI workflow. Seamlessly integrate a wide range of models, including those for data enhancement, forecasting, image and object recognition, and large language models. Customize AI models to meet your exact needs with FME’s powerful tools for training, optimization, and seamless integration

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Reducing Conflicts and Increasing Safety Along the Cycling Networks of East-F...Safe Software

In partnership with the Belgian Province of East-Flanders this project aimed to reduce conflicts and increase safety along a cycling route between the cities of Oudenaarde and Ghent. To achieve this goal, the current cycling network data needed some extra key information, including: Speed limits for segments, Access restrictions for different users (pedestrians, cyclists, motor vehicles, etc.), Priority rules at intersections. Using a 360° camera and GPS mounted on a measuring bicycle, we collected images of traffic signs and ground markings along the cycling lanes building up mobile mapping data. Image recognition technologies identified the road signs, creating a dataset with their locations and codes. The data processing entailed three FME workspaces. These included identifying valid intersections with other networks (e.g., roads, railways), creating a topological network between segments and intersections and linking road signs to segments and intersections based on proximity and orientation. Additional features, such as speed zones, inheritance of speed and access to neighbouring segments were also implemented to further enhance the data. The final results were visualized in ArcGIS, enabling analysis for the end users. The project provided them with key insights, including statistics on accessible road segments, speed limits, and intersection priorities. These will make the cycling paths more safe and uniform, by reducing conflicts between users.

AudGram Review: Build Visually Appealing, AI-Enhanced Audiograms to Engage Yo...SOFTTECHHUB