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pyvista-xarray-cookbook

https://github.com/banesullivan/pyvista-xarray-cookbook

Science Score: 36.0%

This score indicates how likely this project is to be science-related based on various indicators:

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    CITATION.cff file
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    codemeta.json file
    Found codemeta.json file
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    .zenodo.json file
    Found .zenodo.json file
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    DOI references
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    Academic publication links
    Links to: zenodo.org
  • ○
    Committers with academic emails
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    JOSS paper metadata
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    Scientific vocabulary similarity
    Low similarity (13.1%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: banesullivan
  • License: apache-2.0
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 258 KB
Statistics
  • Stars: 0
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created almost 3 years ago · Last pushed almost 3 years ago
Metadata Files
Readme License Citation

README.md

thumbnail

(Replacewithyour_title) Cookbook

nightly-build Binder DOI

This Project Pythia Cookbook covers ... (replace ... with the main subject of your cookbook ... e.g., working with radar data in Python)

Motivation

(Add a few sentences stating why this cookbook will be useful. What skills will you, "the chef", gain once you have reached the end of the cookbook?)

Authors

First Author, Second Author, etc. Acknowledge primary content authors here

Contributors

Structure

(State one or more sections that will comprise the notebook. E.g., This cookbook is broken up into two main sections - "Foundations" and "Example Workflows." Then, describe each section below.)

Section 1 ( Replace with the title of this section, e.g. "Foundations" )

(Add content for this section, e.g., "The foundational content includes ... ")

Section 2 ( Replace with the title of this section, e.g. "Example workflows" )

(Add content for this section, e.g., "Example workflows include ... ")

Running the Notebooks

You can either run the notebook using Binder or on your local machine.

Running on Binder

The simplest way to interact with a Jupyter Notebook is through Binder, which enables the execution of a Jupyter Book in the cloud. The details of how this works are not important for now. All you need to know is how to launch a Pythia Cookbooks chapter via Binder. Simply navigate your mouse to the top right corner of the book chapter you are viewing and click on the rocket ship icon, (see figure below), and be sure to select launch Binder. After a moment you should be presented with a notebook that you can interact with. I.e. youll be able to execute and even change the example programs. Youll see that the code cells have no output at first, until you execute them by pressing {kbd}Shift+{kbd}Enter. Complete details on how to interact with a live Jupyter notebook are described in Getting Started with Jupyter.

Running on Your Own Machine

If you are interested in running this material locally on your computer, you will need to follow this workflow:

(Replace "cookbook-example" with the title of your cookbooks)

  1. Clone the https://github.com/ProjectPythia/cookbook-example repository:

bash git clone https://github.com/ProjectPythia/cookbook-example.git

  1. Move into the cookbook-example directory bash cd cookbook-example
  2. Create and activate your conda environment from the environment.yml file bash conda env create -f environment.yml conda activate cookbook-example
  3. Move into the notebooks directory and start up Jupyterlab bash cd notebooks/ jupyter lab

Owner

  • Name: Bane Sullivan
  • Login: banesullivan
  • Kind: user
  • Location: United States

visualization geek & software engineer. co-created @pyvista.

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