What JavaScript can do

Use JavaScript to do: 1. Data visualization development; 2. Mobile application development; 3. Server-side development; 4. Full-platform application development; 5. Game development; 6. VR development; 7. Hardware development ; 8. Operating system development; 9. Machine learning development.

The operating environment of this tutorial: windows7 system, javascript version 1.8.5, Dell G3 computer

What can JS do now?

1. Data visualization development

Data visualization is an interactive display mode that is highly respected by everyone nowadays, and Javascript hasECharts, Dygraphs.js, D3.js, InfoVis, Springy.js and other available data A framework for visualization.

2. Mobile application development

PhoneGapwillWebView brings it to mobile applications, and it also brings JavaScript to mobile applications.

3. Server-side development

Because the performance of V8 will JavaScript was brought to a new level, so Node.js was born - both front-end and backend can use JavaScript, and now any web page is inseparable from JavaScript .

4. Full platform application development

One code builds mobile, desktop, Web can be applied on all platforms, and running Ionic on Eletcron means unlimited possibilities.

##5. Game development

, it would be wrong to think that only Flash can create very gorgeous game special effects. JavascriptYou can also create gorgeous special effects!

##6. VR development

Use 3D

Three.js, you can also create a 3D world.

7. Hardware development

Tessel can be done directly in Run JavaScript on the device. You don’t even need a server. Then you can develop it using IDE and libraries just like web development. To upload new firmware, just say tessel#. ##Push instructions.

8. Operating system development

Node.jsCreate an operating system? NodeOS Understand that although it uses the Linux kernel to handle various low-level tasks, such as hardware communication, but other than that, it uses Node. js.

9. Machine learning development

TensorFlow.js, you can develop machine learning models for image classification, speech recognition or predictive analytics. You can operate in Node.js or in the browser. Machine learning is a very GPU intensive task, but it can be hardware accelerated running in the browser with WebGL. This way you can run a recommendation system that exists entirely on the client side, without expensive server charges, while mitigating privacy concerns.

JS video tutorial

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