Anaconda Distribution

I have previously written about actively choosing not to use the Anaconda distribution of Python & its packages for the reason of wanting to go vendor-independent. While I have been able to do that on my Macbook Air, which is the main computer on which I do my coding, I’ve gotten my hands on a Sony VAIO box (courtesy of my friend Thomas from San Francisco), which I have converted into a clean slate Linux box.

Because of that, I am going to try out the Anaconda distribution on this machine and see how it works out. I’ve got a few reasons why – some technical, some personal.

From memory, setting up SciPy, NumPy and Pandas gave me a ton of headache getting it right. On my friends’ computers, ensuring that the installation directories were correct was also an issue. Finally, having to manage between Python 2 and Python 3 was giving me troubles on other people’s computers as well. From the last PyCon, it also looked like Continuum’s Anaconda distro was getting a lot of momentum. Finally, I’ve wanted to find a way to put into action my own personal feelings of appreciation to Travis, Continuum’s CEO whom I met at the last PyData conference, for sharing his own life story with me and passing on a lot of advice. I think getting familiar with Anaconda will be the first step in the right direction.