rabernat / python_teaching

My numpy / scipy / iPython tutorials

Python for Scientific Computing

Workshop held at Lamont Doherty Earth Observatory on Aug. 21, 2015.

Attendance Data

Affiliation	Count
LDEO Research Scientist	15
DEES Grad Student	14
LDEO/IRI Postdoc	7
DEES / LDEO Faculty	7
APAM Postdoc	2
APAM Grad Student	2
Other Postdoc	2
Other	10

Course Materials as IPython Notebooks

• Lesson 1: Basic Python
• Lesson 2: Numpy and Matplotlib
• Lesson 3: Pandas with Earthquake Data
• Lesson 4: xray and Pacific SSTs

Data Download Links

• ARGO Float Data: http://www.ldeo.columbia.edu/~rpa/argo_float_4901412.npz
• USGS Earthquake Data: http://www.ldeo.columbia.edu/~rpa/usgs_earthquakes_2014.csv
• ERSST Data: http://iridl.ldeo.columbia.edu/SOURCES/.NOAA/.NCDC/.ERSST/.version4/anom/.sst/T/(days%20since%201960-01-01)/streamgridunitconvert/dods

Schedule

Time	Activity
9:00am	Intro Presentation
9:15am	Python core language and data structures
10:00am	Individual Exercise 1: Fibbonacci sequence and list adding
10:30am	Numpy and matplotlib
12:00pm	Lunch
1:00pm	Pandas for tabular data analysis
2:30pm	xray for multidimensional data analysis

Other Resources

There are lots of great resources out there. First, the official documentation for the main ingredients of the SciPy ecosystem:

• The official python documentation
• SciPy.org, the home base for scientific python
• NumPy for everying to do with numerical arrays
• MatPlotLib for plotting
• IPython for the rich interactive environment

These tutorial materials are about general python and are not specific to SciPy/ Numpy:

• The official python tutorial
• The Google python class
• Dive into python

These are tutorials more specifically focused on scientific use:

• Python Scientific Lectures
• Python for Geosciences
• A gallery of interesting IPython notebooks

Some good blogs about python and science:

• Jake Vanderplas
• Fernando Perez