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Скачать или смотреть Merging a Python Script with a JSON File into a Single Executable (.EXE)

  • vlogize
  • 2025-04-13
  • 49
Merging a Python Script with a JSON File into a Single Executable (.EXE)
Merge a Json and python file into a single .EXEpythonjsonpython 3.xpyinstallerexecutable
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Описание к видео Merging a Python Script with a JSON File into a Single Executable (.EXE)

Discover how to integrate your Python script and JSON configuration file into a single executable, streamlining user experience and enhancing functionality.
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This video is based on the question https://stackoverflow.com/q/73736615/ asked by the user 'Evil Morty' ( https://stackoverflow.com/u/19827836/ ) and on the answer https://stackoverflow.com/a/73736815/ provided by the user 'Jackie' ( https://stackoverflow.com/u/20006915/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Merge a Json and python file into a single .EXE

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The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

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Merging a Python Script with a JSON File into a Single Executable (.EXE)

Many developers face the dilemma of needing configuration files while deploying applications. For Python applications using JSON files to store settings or user data, creating a single, standalone executable can be tricky. If you've encountered the challenge of merging a Python script with a JSON file into one executable, you're in the right place. In this guide, we'll explore solutions to achieve a standalone .EXE without relying on an external configuration file.

The Problem: Dependency on JSON Files

Imagine you've built a powerful Python GUI application that reads and updates configuration data stored in a JSON file. However, when compiling your script to an executable using tools like PyInstaller, the requirement for the JSON file to be present in the same directory can be cumbersome. Your users shouldn't need to worry about separate files—after all, they should enjoy a seamless experience. The core questions here are:

Is there a way to eliminate the need for a separate config.json file?

Can we merge both the .py and the .json into a single executable file for user convenience?

The Solution: Hide the JSON File in the AppData Folder

While it's challenging to completely eliminate the JSON file, one effective approach is to store it in a less visible location, such as the user's AppData directory. This way, the configuration file will still be accessible by your application but won't clutter the user's working directory. Here’s how to do it step by step.

Step 1: Reading and Writing JSON Data

Instead of reading from and writing directly to a JSON file in your application's folder, modify your Python code to interact with the AppData directory.

[[See Video to Reveal this Text or Code Snippet]]

Step 2: Creating the Executable using PyInstaller

Now that you've adapted your script to manage its configuration file in the AppData folder, you can create the executable. Use the command below in your terminal or command prompt:

[[See Video to Reveal this Text or Code Snippet]]

This command will compile your Python script into a single .EXE file that can be distributed and run without needing the configuration file in the same folder.

Final Thoughts

While merging a .py and .json file into a single executable isn't feasible, utilizing the AppData directory to store your JSON file is an effective workaround. This approach enhances your application's user experience by providing a cleaner interface with fewer visible files, while still allowing for the desired functionality of reading and writing configuration data.

So, go ahead and try integrating these solutions into your project! With a little adjustment, your Python application can be user-friendly and efficient.

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