[Python] Django environment construction (pyenv + pyenv-virtualenv + Anaconda) for macOS

This is your own procedure memo for building a Python Django environment (& environment for machine learning). It consisted of "pyenv" + "pyenv-virtualenv" + "Anaconda".

Environment macOS Sierra version 10.12.3 　MacBook Air (Early 2014)

1. Install XCode

`Terminal`


$ xcode-select --install (#Click the install button when the pop-up window launches)

2. Install Homebrew

`Terminal`


$ /usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"

<reference>
$ brew update && brew upgrade (#Homebrew update)

(Ref 1-2) -Comfortable python environment with MacOS, Homebrew and pyenv.

3. Install pyenv and pyenv-virtualenv

`Terminal`


$ brew install pyenv
$ brew install pyenv-virtualenv

4. Setting up the .bash_profile file

`Terminal`


$ vim ~/.bash_profile (# .bash_Describe the following contents in the profile file)

  ## Set path for pyenv
  export PYENV_ROOT="$HOME/.pyenv"
  export PATH="$PATH:$PYENV_ROOT/bin:$PYENV_ROOT/shims"
  # eval "$(pyenv init -)" (#Set as needed)
  # eval "$(pyenv virtualenv-init -)" (#Set as needed)

`Terminal`


$ source ~/.bash_profile (#Reflect the settings)

5. Install Anaconda (Python 3 and 2) via pyenv

`Terminal`


$ pyenv install -l | grep anaconda3 (#The latest Anaconda(Python3 series)Check the version of)
$ pyenv install anaconda3-4.3.1 (#Install the latest version)
$ pyenv install anaconda2-4.3.1 (#Install Python2 system as well)
$ python --version
   Python 3.6.1 :: Anaconda 4.3.1 (x86_64)  

$ pyenv global anaconda3-4.3.1 (#The specified version of the virtual environment is set for all directories)
$ pyenv versions
　　system
    anaconda2-4.3.1
　* anaconda3-4.3.1

6. Create a Python virtual environment for your Django project

`Terminal`


$ pyenv virtualenv anaconda3-4.3.1 django001
 (# "django001"With the name, version"anaconda3-4.3.1"Create a new virtual environment for)
$ pyenv versions
　　system
    anaconda2-4.3.1
　* anaconda3-4.3.1
　　django001
 (#Created earlier in a virtual environment that can be specified with pyenv"django001"Is added)

7. Set up a Python virtual environment in the directory where you want to install Django

You can set a virtual environment (here, "django001") individually for each directory with pyenv local. Even if you install multiple libraries under the corresponding directory (here, "mydjango" directory) where the virtual environment is set, it does not affect other environments (directories) at all, so it is very convenient.

`Terminal`


$ mkdir mydjango (#Directory to install Django"mydjango"Create)
$ cd mydjango (# "mydjango"Move to directory)
$ pyenv local django001 (# "mydjango"Virtual environment in the directory"django001"The set)
$ pyenv versions
　　system
    anaconda2-4.3.1
　　anaconda3-4.3.1
　* django001
 (#You can automatically enter the virtual environment created by virtualenv just by moving to the specified directory.)

<reference>
$ pyenv local --unset (#Cancel local setting)
$ pyenv uninstall django001 (#Delete the virtual environment created by virtualenv)

(Ref 3-7) -[Note from installing Homebrew to building an Anaconda environment for Python with pyenv] (http://qiita.com/oct_itmt/items/2d066801a7464a676994)

--[Understanding environment variable settings for PATH (Mac OS X)] (http://qiita.com/soarflat/items/d5015bec37f8a8254380)

-[Build a python environment for each directory with pyenv-virtualenv] (http://qiita.com/niwak2/items/5490607be32202ce1314)

-[3 types of workarounds for activate collision problem when pyenv and anaconda coexist] (http://qiita.com/y__sama/items/f732bb7bec2bff355b69)

-[A story about using pyenv, which I hated without eating, was too convenient to sit down] (http://qiita.com/who_you_me/items/09f572c842b1c3fea015)

-[Flow of inserting anyenv, pyenv, pyenv-virtualenv, anaconda for switching python development environment] (http://takemikami.com/2016/10/20/python-anyenv-pyenv-pyenvvirtualenv-anaconda.html)

-[I want to create a nice Python development environment for my new Mac] (http://qiita.com/nakazonor/items/258496fc442f7937c478#_reference-40a15e06a5e731d455ef)

8. Conda and pip updates

After that, use conda or pip to install the required Python library for the virtual environment created in step 7, but before that, update conda and pip itself.

`Terminal`


$ pip install --upgrade pip
$ conda update -y conda (#It is not used here, but it is used when installing the machine learning library. See the article below for details)

(reference) -[[Updated from time to time] pyenv + Anaconda (Ubuntu 16.04 LTS) prepares Python development environment for machine learning all-in-one] (http://blog.algolab.jp/post/2016/08/21/pyenv-anaconda-ubuntu/)

9. Install Django

`Terminal`


$ cd mydjango
$ pip install django (# "mydjango"Install the latest version of Django in your directory)
 <reference>
 (# "pip install django==1.10"You can specify the version to install with)

$ pip list (#Check if Django is listed in the library list)
　 Django (1.11)
　 pip (9.0.1)
　 setuptools (27.2.0)
　 wheel (0.29.0)

(reference) -[From 0 to Django development environment construction to basic operation] (http://qiita.com/tonkatu05/items/d0422a2050d669c72f54)

that's all.