I want to create a nice Python development environment for my new Mac

Reference article (I use it almost as it is)

http://qiita.com/shizuma/items/027167c6257f1c9d2a6f

1. Add Homebrew

One command.

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

2. Insert pyenv and virtualenv

$ brew install pyenv
$ brew install pyenv-virtualenv

3. Add the following to .bash_profile

PYENV_ROOT=~/.pyenv
export PATH=$PATH:$PYENV_ROOT/bin
eval "$(pyenv init -)"
eval "$(pyenv virtualenv-init -)"

Reflected.

source ~/.bash_profile

4. Add anaconda

There are various pythons that can be installed with this command

$ pyenv install --list

From this, I want to use Python2 system, so I will put the latest of anaconda2

$ pyenv install anaconda2-4.2.0

Check the python currently specified by pyenv

$ pyenv versions

* system (set by /Users/nakazonor/.pyenv/version)
  anaconda2-4.2.0

Python with the master now specified system is probably Python that comes in from the beginning

Then, specify the installed anaconda with the following command

$ pyenv global anaconda2-4.2.0

With this, Anaconda of Python2 series is specified. Since it's a big deal, let's add Python 3 system

$ pyenv install anaconda3-4.2.0

Also, if you specify anaconda3 in pyenv global, it becomes Python3.

$ pyenv global anaconda3-4.2.0

5. Create a project with virtualenv

Make a directory

$ mkdir study-conda

It seems that you should specify the installed Python version and project name like this

$ pyenv virtualenv anaconda2-4.2.0 study-conda

In the directory you just created

$ pyenv local study-conda

Then, when you enter the study-conda directory after that, the study-conda environment specified in virturalenv will be automatically set. (In short, if you put the package with pip or conda in this, it will not pollute other environments)

By the way

$ pyenv local --unset

You can cancel the local setting with.

↓ If you want to delete virtualenv, this is OK

$ pyenv uninstall study-conda

6. Try pip install

$ pip install numpy

$ pip list
numpy (1.11.3)
pip (9.0.1)
setuptools (27.2.0)
wheel (0.29.0)

You got numpy.

This time, when I go through the study-conda directory and pip list ... It's full of things, but I think it's probably because I put it in anaconda.

$ cd ..
$ pip list
alabaster (0.7.9)
anaconda-clean (1.0)
anaconda-client (1.5.1)
anaconda-navigator (1.3.1)
appnope (0.1.0)
appscript (1.0.1)
argcomplete (1.0.0)
astroid (1.4.7)
astropy (1.2.1)
Babel (2.3.4)
・
・
・

Well, anyway, I succeeded in separating the environment for each directory.

Next, I would like to be able to debug using VSCODE.