https://github.com/mjul/scipy-lab

Scientific computation with Python
https://github.com/mjul/scipy-lab

matplotlib numpy python scipy

Last synced: 4 months ago
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Scientific computation with Python

• Host: GitHub
• URL: https://github.com/mjul/scipy-lab
• Owner: mjul
• License: mit
• Created: 2020-05-04T09:29:32.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2020-05-04T19:18:53.000Z (almost 6 years ago)
• Last Synced: 2025-04-06T00:32:22.744Z (10 months ago)
• Topics: matplotlib, numpy, python, scipy
• Language: Jupyter Notebook
• Size: 3.91 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# SciPy Lab

Notes on scientific computation with Python.

# Installation

This project uses Anaconda Scientific Python.

## Create the Environment

You can create the conda environment like so:

    conda env create -f environment.yml

## Save Environment

You can save the cross-platform conda environment like so:

    conda env export --from-history > environment.yml