Modern computing has no shortage of tools for the data scientist. The open source community alters the landscape every six to 12 months, and competition keeps you on the bleeding edge. In my career as a data scientist, I use everything from scientific Python™ packages to the newest cloud computing architectures—and sometimes all within the same project, as the initial stages of data exploration and mining are often done in a different language than the final product implementation. Read More