https://github.com/bl33h/computersimulation
Measure the time for large-scale operations and contribute to the exploration of computational efficiency.
https://github.com/bl33h/computersimulation
computational-efficiency computer-simulation large-scale python
Last synced: 2 months ago
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Measure the time for large-scale operations and contribute to the exploration of computational efficiency.
- Host: GitHub
- URL: https://github.com/bl33h/computersimulation
- Owner: bl33h
- License: mit
- Created: 2023-11-15T05:34:38.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-11-28T04:40:01.000Z (over 1 year ago)
- Last Synced: 2025-01-21T15:15:28.874Z (4 months ago)
- Topics: computational-efficiency, computer-simulation, large-scale, python
- Language: Python
- Homepage:
- Size: 8.79 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# computerSimulation
It's a project that delves into the realm of computer simulations. The simulation in this repository focuses on the division of random integers and measures the time it takes to perform this operation on a large scale.
Files •
Features •
How To Use
## Files
- **main.py**: The core of the simulation resides in this file. It includes a function `sumIntegers(a, b)` that calculates the division of two random integers. The script then executes the simulation for a specified number of repetitions, measuring the time taken for each operation.
## Features
The main features of the application include:
- **Version I**: This is the initial version of the simulation, designed to explore and measure the efficiency of the integer division operation.
## How To Use
To clone and run this application, you'll need [Git](https://git-scm.com) and [Python](https://www.python.org/downloads/) installed on your computer. From your command line:
```bash
# Clone this repository
$ git clone https://github.com/bl33h/computerSimulation
# Open the project
$ cd computerSimulation
# Run the app
$ python main.py