COMP208 project developer version0.1.6 source code

To have better experiences, before installing the software, please ensure your computer meets the following minimum system requirements:

• Operating System: Windows 10, macOS X+
• Processor: Intel Core i5 or equivalent
• Memory: 8GB
• Display: 1280*720 resolution or higher
• Internet connection for installation and updates(optional)

The following sections will guide you through the pre-installation preparation and the installation steps required to set up SciKiTools on your computer. Pre-installation preparation.

Before you begin the installation process, make sure to meet the following requirements:

0. Check if you have the required software dependencies installed on your computer, such as Python, required Python libraries: sklearn, pyqt, numpy, pandas, matplotlib, under python 3.9.16 environment.

1. Ensure your computer meets the minimum system requirements to run the software, such as the necessary hardware specifications, operating system, and available disk space.

2. Check if you have the required software dependencies installed on your computer, such as Python, required Python libraries and any other relevant software.

3. Download the latest version of SciKiTools from the official GitHub repository website.

4. Unzip the downloaded file to a suitable location on your computer.

Follow these steps to install SciKiTools

1. Open the official GitHub repository website: https://github.com/NomotoK/COMP208

2. Download the latest application version

3. Open the file and run main.py

4. Congratulations! You have successfully installed SciKiTools!

By following these pre-installation preparation steps and installation instructions, you can easily set up SciKiTools on your computer and start taking advantage of its powerful data processing and analysis capabilities.

Please check that the system version meets the minimum requirements for the software to run. When downloading software, please take care to select the appropriate version. Usually, the latest stable version is the first choice, but in some cases you may need to use an older version. You can find different versions on the "Releases" page in GitHub (this only applies after the second iteration has been released).