Given the large number of available Python libraries, their installation is often particularly tedious (if not boring), as well as difficult, especially for those who are beginning their approach to the world of data science and AI.
To facilitate the setup of an already preconfigured development environment, collections of packages and libraries, such as Anaconda (http://www.anaconda.com/download/) are made available. This allows quick access to the most used tools and libraries, thus speeding up development activities, without the need to waste time solving problems with dependencies between packages, or installation issues with the various operating systems.
While I'm writing this, the latest available version of Anaconda released is 5.3.0 (available for download at https://www.anaconda.com/anaconda...
