Posts tagged jupyter

Batch Processing Jupyter Notebooks with Papermill

Jupyter notebooks are really good for doing the heavy lifting of data analysis by:

Allowing you to showcase your work in a single place. You can see the complete “paper trail” of what was done. This includes the code, results, visuals and the narrative accompanying your analysis.

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Reimagining Diagnostics Through the Use of the Jupyter Ecosystem

Typically, diagnostics packages are written with following structure, using script-based workflows

Read files and do some preprocessing


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Creating Model Documentation Using Jupyterbook and Intake-esm

A common step to any project is documenting your data and your data workflow. Fortunately, open tools in the scientific python ecosystem make that much easier! In this example, we will cover creating your github repo, creating the catalog, visualizing the catalog, and generating a static webpage you can share with collaborators!

This week’s post is quite detailed, so just a warning! If you would like to look at the finished product, check out the following

CESM book page

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HiRes-CESM Interactive Dashboard Example

In this example, our goal is to create an interactive dashboard, using images already output on a remote server.

We are specifically interested in looking at plots created using the HighRes-CESM-Analysis repository.

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Jupyter Notebooks Tutorial FAQ

Here is a compilation of questions and issues that arose during the Jupyter Notebooks session of the Python Tutorial Seminar Series.

Q. I installed Miniconda but it doesn’t seem to be working. conda is not a recognized command. What should I do?

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