https://github.com/yoavram/datatalks2017

Talk about Scientific Python and Evolution | DataTalks #3 at Neura
https://github.com/yoavram/datatalks2017

evolution evolution-simulation python scientific-computing

Last synced: about 2 months ago
JSON representation

Talk about Scientific Python and Evolution | DataTalks #3 at Neura

• Host: GitHub
• URL: https://github.com/yoavram/datatalks2017
• Owner: yoavram
• Created: 2017-02-23T09:19:15.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2017-03-21T13:33:27.000Z (over 9 years ago)
• Last Synced: 2025-12-26T01:46:20.037Z (7 months ago)
• Topics: evolution, evolution-simulation, python, scientific-computing
• Homepage:
• Size: 25.3 MB
• Stars: 2
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
# Dive into Scientific Python

### [DataTalks #3](https://www.meetup.com/DataHack/events/237926275/)

by **Yoav Ram** | [Homepage](http://www.yoavram.com) | [Python training](http://python.yoavram.com) | [Twitter](https://twitter.com/yoavram)

[![PDF](https://img.shields.io/badge/presentation-PDF-blue.svg)](https://github.com/yoavram/DataTalks2017/blob/master/presentation.pdf?raw=true)

[![PowerPoint](https://img.shields.io/badge/presentation-PowerPoint-red.svg)](https://github.com/yoavram/DataTalks2017/blob/master/presentation.pptx?raw=true)

[![NBViewer](https://img.shields.io/badge/static%20notebook-nbviewer-green.svg)](http://nbviewer.jupyter.org/github/yoavram/PyConIL2016/tree/master/)

[![Binder](https://img.shields.io/badge/interactive%20notebook-binder-orange.svg)](http://mybinder.org/repo/yoavram/PyConIL2016)

## Abstract

I will introduce the Python programming language and demonstrate how Scientific Python can be used to study evolutionary theory using mathematical and computational models. We'll see how to run fast evolutionary simulations with NumPy and Cython, analyze and visualize simulation results with Pandas and Seaborn, and find solutions to evolutionary models using SciPy. This talk is a wonderful opportunity to learn about Scientific Python through actual research-based examples, as well as an occasion to to discover how theoretical evolutionary biologists approach their research.

## License

CC-BY-SA 4.0