https://github.com/ilovebacteria/analysis-prime-number-algorithms

My Data Structure course project. Analyzing the performance of some prime number algorithms with graph
https://github.com/ilovebacteria/analysis-prime-number-algorithms

algorithm algorithms data-structures graph java matplotlib pyfpdf python

Last synced: 16 days ago
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My Data Structure course project. Analyzing the performance of some prime number algorithms with graph

• Host: GitHub
• URL: https://github.com/ilovebacteria/analysis-prime-number-algorithms
• Owner: ILoveBacteria
• License: mit
• Created: 2022-12-10T07:42:22.000Z (over 3 years ago)
• Default Branch: master
• Last Pushed: 2023-01-14T06:30:12.000Z (over 3 years ago)
• Last Synced: 2025-08-22T01:32:22.417Z (9 months ago)
• Topics: algorithm, algorithms, data-structures, graph, java, matplotlib, pyfpdf, python
• Language: Java
• Homepage:
• Size: 27.3 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Analysis Prime Number Algorithms

[![License: MIT](https://img.shields.io/github/license/ILoveBacteria/analysis-prime-number-algorithms)](https://github.com/ILoveBacteria/analysis-prime-number-algorithms/blob/master/LICENSE)

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## Description

This is my project for the course "Data Structures" at Shahid Beheshti University. The project is about analyzing the performance of some prime number algorithms. Analysis is done by measuring the time of each algorithm. Creating graphs and tables is done by using the [matplotlib](https://matplotlib.org) library and generating a pdf file is done by using the [FPDF](https://pyfpdf.readthedocs.io/en/latest/) library.

 

## How To Test On Your Machine

### What You Need?

- Python 3.10

- JDK 11

- Pipenv

1. Clone the repository

```bash

git clone https://github.com/ILoveBacteria/analysis-prime-number-algorithms.git

```

2. Go to the project directory

3. Compile Java code then run the `Main` class

```bash

javac -d ./out ./src/*.java

java -cp ./out Main

```

4. Install python dependencies

```bash

pipenv sync

```

5. Run the python script

```bash

pipenv run python analysis.py

```

6. Open the generated pdf file in the `output` directory