Creating a Conda environment for climate research & data science

The Conda environment brings to the table an impressive a new way to deal with libraries and packages in Python. And it does it by creating a new way to admin your programming environment.

Through a Conda environment, you can create different environments with guaranteed compatibility between different packages versions. All basic packages to work with climate and weather subjects can be installed with simple commands as in the example

conda create -n py27 python=2.7 anaconda
conda install setuptools 
conda install spyder 
conda install numpy 
conda install netCDF4 
conda install matplotlib 
conda install basemap 

Any new package can be added by using

conta install yourpackage

The former commands will create a complete ambient for Python scientific stack easy to replicate and read for use!