It obviates all issues surrounding installation of packages and use of mulitple python versions and/or multiple virtualenv-like environments ( anaconda envs are like virtualenv but much, much better for compiled packages). If you're using the scientific stack (numpy/scipy/matplotlib/ipython etc.), Anaconda is the way to go. My work is with large vector spaces and rapid prototyping of learning algorithms and classifiers in these spaces Python is really great for this (most of the time). PS I'm a new coder, coding (so far) exclusively in Python 3(.4). For those of you that have Macs, is there anything I should be mindful of specifically?
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Without further ado: what are the pros and cons of using the anaconda (and/or miniconda) suite, specifically in OS X? I've been using the full suite on Windows and I am quite happy with it, but was recently given a Macbook (first Mac product) and since this is a semi-clean slate I'm now starting from, I was curious what benefits / pitfalls might be. I could just be really inept at searching reddit though (probably this I'll admit I tried, but not super hard). I tried a quick search on /r/python for anaconda, but didn't see anything that I felt fully quashed my need to post this and get more specific opinions. Hey guys and gals, and happy weekend to you! Introduction to Programming with Python (from Microsoft Virtual Academy).
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