https://github.com/hsm207/python_no_prototype
Challenges in using Python for rapid prototyping
https://github.com/hsm207/python_no_prototype
datascience julia python
Last synced: 7 months ago
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Challenges in using Python for rapid prototyping
- Host: GitHub
- URL: https://github.com/hsm207/python_no_prototype
- Owner: hsm207
- License: gpl-3.0
- Created: 2020-02-02T20:00:13.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2020-02-05T13:30:56.000Z (over 5 years ago)
- Last Synced: 2025-01-14T13:54:01.027Z (9 months ago)
- Topics: datascience, julia, python
- Language: Jupyter Notebook
- Homepage:
- Size: 20.5 KB
- Stars: 0
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Introduction
This repository contains code to reproduce the results described in
my Medium blog post titled ["How Practical Is Python For Prototyping Data Science Projects At Scale?"](https://medium.com/towards-artificial-intelligence/how-practical-is-python-for-prototyping-data-science-projects-at-scale-88d345fa849d)
# Requirements
* Docker
# Usage
1. Navigate to this project's root directory.
2. Execute:
```shell script
bash scripts/setup_environment.sh
```
This will open a open Jupyter server on port 8888.
3. Open the link from step 2 in a web browser and navigate
to the notebooks folder to view the Julia and Python solutions.