Installation

At the time of this writing, usage has only been tested on Linux x86-64 and. There is no particular reason why installation and usage could not be done on Windows or Mac OSX if the Requirements are met.

It is Highly Recommended to use Anaconda from Continuum Analytics. It’s free, supports all major operating systems, is well supported, does not interfere with system level packaging, can be installed on a per user basics and provides everything needed for Comprehensive WSPR Data Analysis.

Installing Anaconda

Installing Anaconda is very easy. Simply download the shell script and run it in a terminal:

bash Anaconda3-4.0.0-Linux-x86_64.sh

Follow the prompts and when asked, I elected to add the the source scripts to my .bashrc but that is entirely up to you. I also used the default installation direcotry of:

/home/<user-name>/anaconda3

Upgrade Anaconda

This is part of 30 Minute Conda getting started page, but for completeness, I’m adding what was needed for my environment. All actions are performed in a terminal, open as required on your system, then:

First, Anaconda should be upgraded:

conda update conda

Next, update the conda-env scripts:

conda update conda-env

That is all for the basic Anaconda installation and update. You should close, then re-open your terminal to ensure all the paths and updates are working proerpy.

Additional Python Modules

One package that is not available is a conda package is AppDirs but can be installed with Pip. In the terinal:

pip install appdirs clint

Installing R

The R-Scripting language in not part of the base Anaconda installation, however, installation is fairly easy using conda, the Anaconda package manager.

Again, in the terminal, perform the following:

conda install -c r r-essentials
conda install -c r r-gridextra

Building Py35 Virtual ENV

TO-DO

Usage Guide

TO-DO