https://github.com/brooksian/estimatingpi

Using R, Python, and PySpark to estimate Pi
https://github.com/brooksian/estimatingpi

Last synced: about 2 months ago
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Using R, Python, and PySpark to estimate Pi

• Host: GitHub
• URL: https://github.com/brooksian/estimatingpi
• Owner: BrooksIan
• License: unlicense
• Created: 2020-09-01T21:29:12.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2020-09-09T16:37:09.000Z (over 4 years ago)
• Last Synced: 2025-01-19T16:16:02.314Z (3 months ago)
• Language: Jupyter Notebook
• Size: 974 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Random Sampling To Estimate Pi

![RS](PI.png "MCCity")

**Level**: Moderate

**Languages**: Python & R

**Requirements**: 

- Spark 2.3

**Author**: Ian Brooks

**Follow**: [LinkedIn - Ian Brooks PhD](https://www.linkedin.com/in/ianrbrooksphd/)

**Related Links**:

- [The R Project for Statistical Computing](https://www.r-project.org/)

- [The Comprehensive R Archive Network](http://cran.wustl.edu/)

- [Data Visualization With Base R](https://www.r-graph-gallery.com/base-R.html)

- [Matplotlib: Visualization With Python](https://matplotlib.org/)

- [Pandas Visualization With Python](https://pandas.pydata.org/docs/user_guide/visualization.html)

- [Seaborn: Statistical Data Visualization](https://seaborn.pydata.org/)

## Random Sampling

![Powers](PowersOf10.gif "Powers10")