If you don’t have experience, or are beginner you are in the right place to learn how to do realistic physics simulation on your computer.

1. Software

The first step to make a realistic physics simulation is choosen a software. There is a lot of good softwares. Here are some good ones:

Autodesk Fusion 360 - Good for engineering simulations;

Blender - Free 3D software that is possible to do realistic physics simulations, it is good using fluids, fire, explosion, smoke, rigid bodies, soft bodies, cloths and has many addons that allow you to do more things and even destruction;


If you are having this problem and are breaking your head to solve it … I have the answer here to solve this problem, and it is very simple!

1. Add some code to the build.gradle (NOT android/build.gradle)

Go to the file: android/app/build.gradle and then add the following:

apply from: "../../node_modules/react-native-vector-icons/fonts.gradle"

First you need to apply the “react-native-vector-icons” module to the build.gradle

2. Then run in the terminal

Now go to the terminal and run the following:

npx react-native link react-native-vector-iconsnpx react-native run-android

Now you need to link the “react-native-vector-icons” module to React Native

In some versions React Native is not linking “react-native-vector-icons” automatically, so do you need to link them “manually”

I hope the React Native team will fix this in the next version

Reference: https://github.com/oblador/react-native-vector-icons/issues/661

Before teaching you how to do that, I had to learn this myself, because the documentation doens’t contain this specific situation very clearly, to play some audio that you recently imported.

First - You have to install the dependecies

$ expo install expo-av

$ expo install expo-document-picker

Second - Import inside your project

Importing the dependencies

Third - Then create a var to store the imported audio

Gustavo Albuquerque Lima

Studies: React Native, Python, JavaScript, Node JS, C#, SQL, React.Js, Bootstrap, php, Pytorch and Numpy

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