iPython notebook gallery

Sometimes I got emails requesting codes to plot certain things. Those inquiries remind me that I have an older version of my website on Wordpress.com still up and running. That was an answer to the requirement that every student in RSMAS should have their own websites back in 2014. To fill in the blanks, I listed out some of my python works in Ipython notebooks.

Python is a thing that I picked up in the graduate school. I not only use Python to visualize model outputs or satellite data but as a shell-script alternative to control my workflow. Ipython stands for Interactive Python. It was an interactive shell, complementing the original python prompt. The Notebook web-interface was added to Ipython project in 2011, and it has evolved into an enormous spin-off project called Jupyter in 2014. Such notebooks connect to different kernels. There are many kernels compatible with Ipython/Jupyter, including Python (natürlich!), Julia, R, and Haskell.

I love using Ipython notebooks because I can run code, comment in Markdown and plot inline on the same page. Everything is then easily exported to shareable formats such as pdf, HTML, Latex, even presentation slides.

Ths description quoted from Jupyter.org:

The Jupyter Notebook is a web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, machine learning and much more.

In 2013, I participated in a research cruise “Meteor 100/2”. On board, I was asked to provide daily Satellite plots as well as plots from RTOFS outputs. I used Python scripts to control the daily procedure to download data, to plot these data with several NCL scripts, then tar and compress them before moving them to DropBox shared-directory, so that the Chief-Scientist on board could receive the latest satellite images, regardless of the pathetic bandwidth of the satellite-based internet.

Satellite SST and onboard observed wind-vectors

Like I said, Ipython Notebooks are easily shareable, in particular through the nbviewer provided by Jupyter.org. Below are some links to my early works in the notebook format:

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