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Open Source Science

https://github.com/cadet/cadet-workshop

Training materials of the CADET-Workshop for tutorials and self-study.

https://github.com/cadet/cadet-workshop

Science Score: 26.0%

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

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    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
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    DOI references
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    Academic publication links
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    Scientific vocabulary similarity
    Low similarity (16.0%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Training materials of the CADET-Workshop for tutorials and self-study.

Basic Info
  • Host: GitHub
  • Owner: cadet
  • Language: Jupyter Notebook
  • Default Branch: solution
  • Homepage:
  • Size: 9.05 MB
Statistics
  • Stars: 18
  • Watchers: 8
  • Forks: 1
  • Open Issues: 7
  • Releases: 0
Created over 2 years ago · Last pushed about 1 year ago
Metadata Files
Readme

README.md

CC BY SA 4.0

This work is licensed under a Creative Commons Attribution 4.0 International License.

CADET Tutorials

This is a repository for introductory examples and tutorials of the CADET-Process software for modelling and simulating chromatographic processes.

For more information, see also: - Website (including documentation): https://cadet-process.readthedocs.io/ - Forum: https://forum.cadet-web.de - Source: https://github.com/fau-advanced-separations/CADET-Process

Download the tutorials

To run the tutorials locally, we recommend installing Anaconda. Anaconda is a high-performance scientific distribution of Python that includes many common packages needed for scientific and engineering work. Download the installer from their website and run it for the local (!) user. Optionally, use mamba which uses a faster dependency solver than conda. To use mamba, replace conda commands with mamba.

The easiest way to download the tutorials is to clone this repository. For this purpuse, make sure, git is installed.

From a git bash navigate to to where you want to store the tutorials and run git clone https://github.com/cadet/CADET-Workshop

Then, from an Anaconda Prompt, cd into the directory and install all the requirements by running

mamba env create -f ./environment.yml

This will create a new conda environment called cadet. Activate it using the following command

conda activate cadet

Getting started

Fire up a jupyter-lab and get started with the Tutorials.

In case you are new to Python and jupyter, we also included a small tutorial (00_Introduction_Python) which covers the necessary basics for the tutorials.

Fixing potential problems.

  • If you get the following error The code execution cannot proceed because VCRUNTIME140_1.dll was not found. Reinstalling the program may fix this problem., please visit https://support.microsoft.com/en-us/help/2977003/the-latest-supported-visual-c-downloads and install the latest Microsoft Visual C++ Redistributable.
  • Some of the notebooks include interactive graphs. To enable them, please open an Anaconda prompt and run:
    • For JupyterLab 2.0+ jupyter labextension install @jupyter-widgets/jupyterlab-manager jupyter lab clean jupyter lab build
    • For JupyterLab 3.0+: install ipympl

Owner

  • Name: CADET
  • Login: cadet
  • Kind: organization
  • Email: cadet@fz-juelich.de

GitHub Events

Total
  • Issues event: 1
  • Watch event: 14
  • Delete event: 13
  • Issue comment event: 2
  • Push event: 23
  • Pull request event: 1
  • Create event: 15
Last Year
  • Issues event: 1
  • Watch event: 14
  • Delete event: 13
  • Issue comment event: 2
  • Push event: 23
  • Pull request event: 1
  • Create event: 15

Issues and Pull Requests

Last synced: over 1 year ago

All Time
  • Total issues: 3
  • Total pull requests: 2
  • Average time to close issues: N/A
  • Average time to close pull requests: 8 days
  • Total issue authors: 2
  • Total pull request authors: 1
  • Average comments per issue: 0.67
  • Average comments per pull request: 1.0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • schmoelder (2)
  • ronald-jaepel (1)
Pull Request Authors
  • ronald-jaepel (2)
Top Labels
Issue Labels
Pull Request Labels

Dependencies

environment.yml pypi
  • cadet-process *
  • jupyterlab_deck *
  • jupyterlab_myst *
  • nbtoolbelt *