New pattern updates will be tweeted…”
“With the R Users DC Meetup broadening its topic base to include other statistical programming tools, it seemed only reasonable to write a meta post highlighting some of the best Python tutorials and resources available for data science and statistics. What you don’t know is often the hardest part of picking up a new skill, so hopefully these resources will help make learning Python a little easier. Prepare yourself for code indentation heaven.
Python is such an incredible language because it can do practically anything, from high performance scientific computing to web frameworks such as Django or Flask. Python is heavily used at Google so the language must be doing something right. And, similar to R, Python has a fantastic community around it and, luckily for you, this community can write. Don’t just take my word for it, watch the following video to fully understand…”
“Below is a Skip List implementation done in Python. The great innovation here is that unlike a dictionary, skip lists keep their items permanently in order, making it possible to efficiently walk the collection backwards and forwards, from start or end, or from an arbitrary key, much more efficiently than would ever be possible with a dict…”