MD. SHAHIDUL ISLAM xeron56

Pipenv Cheat Sheet

Install pipenv

pip3 install pipenv

Activate

pipenv shell

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a supported Ubuntu LTS distribution, and you're happy to install the respective tested CUDA versions (which often are outdated), by all means go ahead.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

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

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

##Windows users:

Download wamp: http://www.wampserver.com/en/
Download and extract cmder mini: https://github.com/cmderdev/cmder/releases/download/v1.1.4.1/cmder_mini.zip
Update windows environment variable path to point to your php install folder (inside wamp installation dir) (here is how you can do this http://stackoverflow.com/questions/17727436/how-to-properly-set-php-environment-variable-to-run-commands-in-git-bash)

cmder will be refered as console

##Mac Os, Ubuntu and windows users continue here:

Create a database locally named homestead utf8_general_ci

	#!/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

	Enterprise: NJVYC-BMHX2-G77MM-4XJMR-6Q8QF
	Professional: KBJFW-NXHK6-W4WJM-CRMQB-G3CDH

	Keys are generic ones. These are the same from MSDN account.


	Product Key : -6Q8QF
	Validity : Valid
	Product ID : 00369-90000-00000-AA703
	Advanced ID : XXXXX-03699-000-000000-00-1032-9200.0000-0672017

	# For Windows users# Note: <> denotes changes to be made

	#Create a conda environment
	conda create --name <environment-name> python=<version:2.7/3.5>

	#To create a requirements.txt file:
	conda list #Gives you list of packages used for the environment

	conda list -e > requirements.txt #Save all the info about packages to your folder

	'''
	Extract a known face from a video.

	Uses a combination of a deep learning CNN model to batch detect faces
	in video frames, or a sequence of images, in GPU with CUDA and HoG to compare
	the detected faces with a computed reference set of face encodings.
	'''
	from os import path, listdir
	from typing import NamedTuple

	'''
	Extract a known face from a video.

	Uses a combination of a deep learning CNN model to batch detect faces
	in video frames, or a sequence of images, in GPU with CUDA and HoG to compare
	the detected faces with a computed reference set of face encodings.
	'''
	from os import path, listdir
	from typing import NamedTuple