[PYTHON] Created an environment for Anaconda & Jupyter

1. install

Install Homebrew and execute the following

$ brew install pyenv
$ pyenv install anaconda3-2.5.0

There seems to be a GUI installer, but I haven't used it. There is also a procedure when using the GUI installer.

• Anaconda install | Continuum Analytics: Documentation

2. Test drive

A tutorial is provided so let's do it.

• Test drive — Conda documentation

The content here is well summarized in the next cheat sheet.

• conda_cheatsheet_2016

2-1. Management of anaconda

Installation confirmation

Issue the version and confirm the installation

$ conda --version

The version should come out, but not

pyenv: conda: command not found

The `conda' command exists in these Python versions:
  anaconda3-2.5.0

This is because I installed it with Pyenv and not Global

Create a working folder and use pyenv to install anaconda there.

$ pyenv local anaconda3-2.5.0 
$ conda --version
conda 3.19.1

This time it was done.

update

Update Anaconda to the latest version.

$ conda update conda

I thought it was okay because it was just installed, but it was updated normally

2-2. Work environment management

Anaconda allows you to create and save work environments. Around here, it's similar to R.

Work environment creation

Prepare an environment named Snowflakes for Biopython. The name follows the tutorial.

$ conda create --name snowflakes biopython

The biopython download and setup will begin and you will see the following message:

#
# To activate this environment, use:
# $ source activate snowflakes
#
# To deactivate this environment, use:
# $ source deactivate
#

Try to enable it immediately.

$ source activate snowflakes
usage: grep [-abcDEFGHhIiJLlmnOoqRSsUVvwxZ] [-A num] [-B num] [-C[num]]
	[-e pattern] [-f file] [--binary-files=value] [--color=when]
	[--context[=num]] [--directories=action] [--label] [--line-buffered]
	[--null] [pattern] [file ...]
pyenv: -bash: command not found

[The process is complete]

I couldn't understand what happened, so I left it and proceeded.

2-3. Python version control

Since the role overlaps with pyenv, I only have a bad feeling. Leave it alone and proceed.

2-4. Anaconda package management

Show list of installable packages

$ conda list 

Search for packages (install beautifulsoup4 here)

$ conda search beautifulsoup4

Install (beautifulsoup4 is already installed so nothing happens)

$ conda install beautifulsoup4

Uninstall

$ conda remove beautifulsoup4

3. Jupyter Notebook

Finally, I will do various things with Jypyter.

3-1. Launch Jupyter Notebook

Launch Jupyter Notebook

$ jupyter notebook

After that, operate here. Execute New Notebook from the upper right and Hello, world.

You can execute cells by pressing Shift + Enter.

That's all for today. I'll do the rest next time.

Reference

1. install

• Continuum | Home

• Install all Python analysis environments in Anaconda-TASK NOTES

• Anaconda install | Continuum Analytics: Documentation

• Test drive — Conda documentation

• Installing and getting started with Jupyter Notebook (IPython)-TASK NOTES

• ipython-books/cookbook-code: Recipes of the IPython Cookbook, the definitive guide to high-performance scientific computing and data science in Python

• [Mac] Installing Python + How to use pyenv-TASK NOTES