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Python Hour - 02 February 2015

Built-in functions to compute power spectral density, numpy broadcasting rules versus matrix operations.

Python Hour - 26 January 2015

We discussed online Python classes, version control software, making plots using gridspec and more.

Python Hour - 12 January 2015

Earle presented an intro to Python data types.

Python Hour - 5 January 2015

05 Jan 2015 / Earle Wilson / Python Hour

First Python Hour of 2015. General interest meeting.

Create and read netCDF files

04 Dec 2014 / Earle Wilson / How to... / netCDF, netCDF4

An introduction to netCDF and the netCDF4 python module.

Python Hour - 24 November 2014

We discussed strategies for teaching python in the classroom and how to do 2-D interpolation.

Python Hour - 10 November 2014

Zoli shared some tips for creating beautiful bathymetric charts.

Colormap Examples

How to work with colors and colormaps, create your own colormap, and color lines using a colormap in matplotlib.

Python Hour - 29 September 2014

29 Sep 2014 / Earle Wilson / Python Hour / netcdf, sets

We discussed issues that can arise when creating netcdf files and some nuances of using Python sets.

Python Hour - 22 September 2014

Earle discussed his attempt at making an objective mapping routine.

Python Hour - 25 August 2014

We discussed the itertool and KDTree modules, ways to debug code, and keyword arguments.

Python Hour - 18 August 2014

We discussed ways to commit changes to git, how to install the seawater module and more...

Python Hour - 11 August 2014

We shared ideas on how to set plot aspect ratios, save data to your hard drive and much more...

Create a plot with broken axis

11 Aug 2014 / Earle Wilson / How to... / axes, plotting

Simple demo on how to create a plot with discontinuous axes.

Set the aspect ratio of a plot

An example showing how to set the aspect ratio of a plot.

Python Hour - 28 July

We talked about indexing, slicing and the awesomeness of the iPython Notebook

Learn the basics

25 Jul 2014 / Earle Wilson / How to...

A review of Python basics