A distribution of libraries and software specifically built for Data Science.
It comes with Conda, a package and environment manager that will make your life better.

1. Download Anaconda from the site https://www.continuum.io/downloads
2. Install Anaconda
3. Conda-install any other needed packages

Create a new project

This will create the necessary Python 3 environment for me:

conda create -n tea_facts python=3

This will create an environment with numpy installed in it:

conda create -n my_env numpy

Another very specified example:

conda create -n data python=3.5 numpy pandas

Activate & Deactivate

Activate environment

source activate tea_facts    # Linux
activate tea_facts        # Windows

Deactivate environment

source deactivate         # Linux
deactivate         # Windows

Installing packages

conda install numpy pandas matplotlib

Install Jupyter notebooks

conda install jupyter notebook

List the installed packages

conda list

Save & Load

You can save environments into YAML files, then share the saved environment with others so they can install the same packages used in your code.

conda env export > environment.yaml

Load an environment

conda env create -f environment.yaml

Remove environment

conda env remove -n env_name