What people are saying
Unlike proprietary analysis languages and tools, Canopy offers the customized analytical environment we need, built on open source Python. Using it, we are able to research investment opportunities in an efficient and flexible manner.
I am thoroughly enjoying Canopy. I have been using it about 2 weeks, and it is far and away the best IDE I've found for Python (I've tested perhaps 12 in the past year). It has been especially helpful in prototyping my scientific computing research.
Canopy allows me the ability to inspect and plot the contents of my data structures as I craft the code to manipulate their contents. The Canopy pop-ups that appear when a function is entered have also saved me a lot of time and helpfully remind me how particular keyword arguments are named. A long time text editor Python coder, I am now an enthusiastic Canopy convert.
I wanted to let you know how pleased I am with your Enthought Canopy Python distribution. Most of my academic research requires large-scale data analysis on several clusters. After our last server upgrade I lost the functionality of many packages and spent hours, without any luck, trying to get it back up and running. Searching the web I came across Enthought, and I couldn't believe how easy it was to install with all my favorite packages! Thanks again and I will definitely be recommending your services to others in my field.