I believe the ration is 8 to 13 for the number of revolutions around the sun for Venus and Earth to be aligned. (Or maybe it was 5 to 8.) Anyway, it produces the following graph:
The time has come. All the libraries I use on a regular basis are available for Python 3.4. I just spent a frighteningly short amount of time with MacPorts installing everything I need and then making sure that Python 3.4 and iPython 3.4 are the defaults. Here’s all that I had to type:
% sudo port selfupdate % sudo port install python34 % sudo port install py34-numpy % sudo port install py34-scipy % sudo port install py34-nltk % sudo port install py34-pandas % sudo port install ipython34 % sudo port select --set python python3 % sudo port select --set ipython ipython3
And then, because I’m working on something for The Programming Historian and it’s just easier to do everything in an iPython notebook:
% ipython notebook
Later, all I will need to do is:
% ipython nbconvert --to markdown myFile.ipynb
While Mac OS X’s Calendar and the iCloud service handle the back-end, I increasingly only use Fantastical for interacting with times, dates, appointments, and schedules. Not only is its natural language system very good — “Meet with this person next Friday from 2 to 2:30 in my office” — but it just looks good:
The more I live in Louisiana, the more I would like either to live somewhere else or at least be able to get to other places when I have the time. (Sadly, the more I live here, the less I am able to afford anything.) Until that moment where I live elsewhere, I like to daydream about either living in a small house, maybe even a tiny house as they are now known, or at least camping in a similarly outfitted trailer.
Here are some ideas:
The following set of commands assume that you begin with a Mac OS X that does not have any of the necessities already installed. You can, thus, skip anything you have already done, e.g., if you have already installed Xcode, skip to Step 2.
- Install the Xcode development and command line tool environment.
- Install the MacPorts basic installation.
- Install Python 2.7 for math, science, and NLP.
Install iPython and select it like you did for Python:
port select –set ipython ipython27
Install iPython notebook. (And here’s a list of dependencies in case the notebook installation doesn’t complete by itself.)
Bhavya Geethika Peddibhotla at KD Nuggets has compiled a list of the “Top 20 Python Machine Learning Open Source Projects.” At the top?
scikit-learn, as evidenced in one of the graphics from the article:
In addition to the Map of Metaphor in English, there is also Visual Correspondence, a project to make available not only the contents of correspondence but also the metadata — who received the letter? who else was a correspondent? — and to make all of this data and metadata available for visualization.