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Ref: https://medium.com/@ssharizal/how-to-install-lamp-stack-server-on-windows-subsystem-linux-wsl-windows-10-133419c22473

Install Windows Subsystem (Ubuntu)

Run this command in powershell as administrator

Enable-WindowsOptionalFeature -Online -FeatureName Microsoft-Windows-Subsystem-Linux

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#!/bin/bash

# This will remove Apache
sudo service apache2 stop
sudo apt-get purge apache2 apache2-utils apache2.2-bin apache2-common
sudo apt remove apache2.*
sudo apt-get autoremove
whereis apache2
sudo rm -rf /etc/apache2

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1. Step to step to eject to ExpoKit by right way:

Step 1. Run command: expo eject in root of expo project.

Step 2. Choose 2nd option: Eject to ExpoKit and follow step to step from Expo command to eject it completely.

Step 3 (Optional) Install dependencies (normally, Expo will auto run this command)

yarn install

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Building TensorFlow from source (TF 2.3.0, Ubuntu 20.04)

Why build from source?

The official instructions on installing TensorFlow are here: https://www.tensorflow.org/install. If you want to install TensorFlow just using pip, you are running a supported Ubuntu LTS distribution, and you're happy to install the respective tested CUDA versions (which often are outdated), by all means go ahead. A good alternative may be to run a Docker image.

I am usually unhappy with installing what in effect are pre-built binaries. These binaries are often not compatible with the Ubuntu version I am running, the CUDA version that I have installed, and so on. Furthermore, they may be slower than binaries optimized for the target architecture, since certain instructions are not being used (e.g. AVX2, FMA).

So installing TensorFlow from source becomes a necessity. The official instructions on building TensorFlow from source are here: ht

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Pipenv Cheat Sheet

Install pipenv

pip3 install pipenv

Activate

pipenv shell