Assignment 8 : Xarray¶

Due Thursday, Oct. 26

In this assignment, we will use Xarray to analyze top-of-atmosphere radiation data from NASA's CERES project.

Public domain, by NASA, from Wikimedia Commons

I have pre-downloaded and subsetted a portion of this dataset for use in our class. You can download it here: http://ldeo.columbia.edu/~rpa/CERES_EBAF-TOA_Edition4.0_200003-201701.condensed.nc. The size of the data file is 702.53 MB. It will take a minute or two to download.

Assignment 7 - Pandas¶

Due Oct 19.

In this assignment we will use pandas to examine earthquake data.

Start by importing pandas, numpy and matplotlib.

I saved you some time by pre-downloading some data in .csv format from the USGS Earthquakes Database. It is located at:

http://www.ldeo.columbia.edu/~rpa/usgs_earthquakes_2014.csv

You don't even need to download it. You can open it directly with Pandas.

Assignment 6 - Numpy and Matplotlib¶

Due Thursday October 12¶

Your assignment should be handed in as an ipython notebook checked into your github repository in a new folder named assignment_6. To download this assignment, your best option is to clone the original github repository for the course website:

git clone https://github.com/rabernat/research_computing.git

and then navigate to the assignment more ...

Homework: Introduction to Python¶

Due: Thursday, Sept. 21

Your assignment should be handed in an ipython notebook checked into your github repository. To download this assignment, your best option is to clone the original github repository for the course website:

git clone https://github.com/rabernat/research_computing.git

You will find the assignment in content/Assignments/ directory, along with the two data files.