Monthly Archives: July 2014
According to IBM, we generated 2.5 billion gigabytes of data every day in 2012. One of my passions is making that data comprehensible, especially when it concerns cities and the urban environment. Which is why I was excited when I found out about the BigIdea sponsored by the Alliance for Downtown New York for […]
Following my last post on OrderedDict in Python, I came across another useful technique for working with data in Python, the enumerate function. In C++, using an index to reference data is second nature, but in Python with list comprehensions. For example: mylist = [‘foo’,’bar’,’boo’] for i in mylist: print i >>>foo bar boo This returns the […]
Call me a control freak, but I like things to be well organized. Having worked with Python for the past year, I’ve been in a constant fight to retrieve data from dictionaries in the same order I entered them. Chalk it up to a laziness that kept me from asking the all-knowing, all-seeing oracle of […]
