# easy install using conda-forge#

With the help of an outstanding community effort named conda-forge, wradlib can now be more conveniently installed on linux, windows and osx.

Until now, installing $$\omega radlib$$ and its dependencies could be tricky, with each OS having its own issues. On Windows, we so far recommended to satisfy all depencies via Python(x,y). This was convenient; however, it limited users to Python 2.7, and, more importantly, to 32-bit Python. This was a serious drawback particularly for memory-intensive applications.

With this post, we present a new installation approach that is harmonised across platforms. Using conda-forge/wradlib-feedstock, we provide installable $$\omega radlib$$ packages for all major OS (accounting for different python and numpy versions, and offering 32-bit builts for Windows, if desired). All builts are tested and uploaded to the conda-forge channel.

The default-conda channel provides many $$\omega radlib$$ dependencies out of the box, but not all. Hence, we also contributed to the conda-forge/gdal-feedstock making it the first feedstock serving two different package versions (gdal 1.11.4 and 2.0.2).

As a result, $$\omega radlib$$ can now be conveniently installed using the conda package manager. Windows users should be aware, though, that this approach is not compatible with Python(x,y). So you need to make a decision.

So this is the basic walk through:

1. Install the Anaconda environment of your choice

2. Clone the root environment or create one from scratch

 :::bash
$conda create --name wradlib --clone root or$ conda create --name wradlib python=2.7

3. Add the conda-forge channel

 :::bash
$conda config --add channels conda-forge  4. Activate $$\omega radlib$$ environment • Linux  :::bash$ source activate wradlib

• Windows

  :::bash

5. Install $$\omega radlib$$ (and dependencies)

 :::bash
(wradlib) $conda install wradlib  6. Set GDAL_DATA environment variable (needed for georeferencing) • Linux/OSX bash  :::bash (wradlib)$ export GDAL_DATA=/path/to/anaconda/envs/wradlib/share/gdal

• Windows CMD.exe

  :::bash

7. Optional dependencies can be installed OS independent with pip
 :::bash

We hope that this new approach will make the installation of $$\omega radlib$$ more convenient, and, as a result, enhance its usability on all major platforms - thanks to Anaconda from Continuum(R) and the conda-forge community effort.