Category Archives: Data Analysis

Awesome IPython Notebook Examples

Scott Collis posted the following link of awesome scientific IPython notebook examples to the PyAOS mailing list today: https://github.com/ipython/ipython/wiki/A-gallery-of-interesting-IPython-Notebooks I thought the NFL rankings calculator to be particularly fun :). Check the examples page out!

Posted in Data Analysis, Featured Tips, Interfaces, Tutorials | Leave a comment

PyFerret Documentation and Downloads Pages Now Available

Karl Smith has an announcement about PyFerret: “For those interested in trying out PyFerret (Ferret as a Python module – presented at this Spring’s AMS session), or those just interested in knowing more about PyFerret, there are now documentation and … Continue reading

Posted in Data Analysis, Meteorology, Oceanography | 2 Comments

UV-CDAT 1.0.0 is Released

An announcement from Charles Doutriaux at LLNL: The UV-CDAT team is proud to announce the official release of UV-CDAT 1.0.0. Instructions on how to download and install can be found at http://uvcdat.llnl.gov. Binaries are also available for Mac and various … Continue reading

Posted in Climatology, Community, Data Analysis, Meteorology | Leave a comment

Getting a List of Files

Several weeks ago, I wrote about how dictionaries can help make your data analysis scripts simpler. As part of that post, I showed a script that looped through a list of filenames I had typed out, and noted that if … Continue reading

Posted in Beginner, Data Analysis, Featured Tips, Tutorials | 2 Comments

Making Data Analysis Simpler With Dictionaries

While long-time Python users have a good sense of the usefulness of dictionaries, explaining why dictionaries are so useful is not so straightforward. Particularly to atmospheric and oceanic sciences (AOS) users, who generally are not that interested in the relative … Continue reading

Posted in Beginner, Data Analysis, Featured Tips, Tutorials | 2 Comments

Using the Climate Data Analysis Tools for Model Intercomparison

This is the second in a series of short posts about the talks given at the Special Symposium on Advances in Modeling and Analysis Using Python, held at the 91st AMS Annual Meeting, on January 27, 2011, in Seattle, WA. … Continue reading

Posted in Advanced, Data Analysis, Featured Tips, Gridding, I/O, Time Series Analysis | Leave a comment