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### install pip first ###
### pip is package manager for python ###

sudo apt-get install python-pip 

### install virtualenv from pip ###
pip install virtualenv

### check the version ###
virtualenv --version

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### Create the file /etc/apt/sources.list.d/pgdg.list and add a line for the repository ###
deb http://apt.postgresql.org/pub/repos/apt/ xenial-pgdg main

### Import the repository signing key, and update the package lists  ###
wget --quiet -O - https://www.postgresql.org/media/keys/ACCC4CF8.asc | sudo apt-key add -

### update and install postgresql ###
sudo apt-get update && sudo apt-get install postgresql-10

## start ##

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### install mysql connector using pip ###

pip install mysql-connector-python

### if issue persists while importing mysql connector ###
>>> import mysql.connector
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
ImportError: No module named mysql.connector
>>>

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FROM ubuntu:16.04

RUN apt-get update 

RUN apt-get install -y wget 

RUN apt-get install bzip2 

RUN wget https://repo.continuum.io/archive/Anaconda3-5.0.1-Linux-x86_64.sh
RUN bash Anaconda3-5.0.1-Linux-x86_64.sh -b

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### uninstall old version if present ###

$ sudo apt-get remove docker docker-engine docker.io

### for Xenial 16.04 and newer ####
### Update the apt package index ###

$ sudo apt-get update

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***The Docker daemon always runs as the root user.
If you don’t want to preface the docker command with sudo, 
create a Unix group called docker and add users to it. 
When the Docker daemon starts, it creates a Unix socket
accessible by members of the docker group. ***

### Create the docker group ###

$ sudo groupadd docker

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##### add remote origin #########

git remote add origin https://github.com/limbuu/machinelearning-basics.git


##### set remote -url orgin if there is existing origin #######

git remote set-url origin git@github.com:User/User.git

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## Build image ##
docker build -t image_name .

### Build image with version tag ###
docker build -t image_name:version_tag . (To build particular version)

### Run image ###
docker run image_name -it bash 

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## install git Large File Storage (git LFS) #####

curl -s https://packagecloud.io/install/repositories/github/git-lfs/script.deb.sh | sudo bash

sudo apt-get install git-lfs

## select any file types you like to manage ##

git lfs track "*.csv"

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## Create environment ##
conda create -n MY_ENV (u can specify python)

## Activate environment ##
source activate MY_ENV

## Deactivate environment ##
source deactivate