.PYC File Recovery

Have files been deleted due to a user’s error or software error? Have you formatted a disk by accident and need to know how to recover the files? Read our .PYC file recovery guide for Windows, MacOS, Android and IOS in 2024.

PYC File Recovery

What is a .PYC file?

Complied source code written in the Python programming language.

What Are Common Causes of ".PYC" Files Lost or Failure?

There are several common causes of .pyc files being lost or failing:

  1. Accidental deletion: Users may accidentally delete .pyc files while cleaning up their system or organizing files, leading to their loss.
  2. Manual deletion: Sometimes, users intentionally delete .pyc files, thinking they are unnecessary or causing issues. However, this can lead to failure or unexpected behavior of Python programs.
  3. File system errors: File system errors, such as corruption or bad sectors on the storage device, can cause .pyc files to become lost or inaccessible.
  4. Improper program termination: If a Python program terminates abruptly or crashes, it may not have a chance to generate or update .pyc files, resulting in their loss or failure.
  5. Incompatible Python versions: .pyc files are compiled bytecode specific to a particular version of Python. If a program compiled with one Python version is executed with a different version, the .pyc files may fail to load or function correctly.
  6. File system permissions: If the user or system does not have sufficient permissions to access or modify .pyc files, it can lead to issues or loss of these files.
  7. Antivirus software: In some cases, antivirus software may mistakenly identify .pyc files as potential threats and quarantine or delete them, causing their loss or failure.
  8. Disk space limitations: Insufficient disk space can prevent the creation or storage of .pyc files, leading to their loss or failure.
  9. File system synchronization issues: If files are synchronized across multiple devices or systems, there is a possibility of synchronization errors that can result in the loss or failure of .pyc files.

It's important to note that .pyc files are generated automatically by the Python interpreter and are not typically modified directly by users.

How to recover lost ".PYC" files?

Sometimes while working with a computer, laptop or other stationary or mobile devices, you may encounter various bugs, freezes, hardware or software failures, even in spite of regular updates and junk cleaning. As a result, an important ".PYC" file may be deleted.

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🧺 How to Recover Files and Folders After Sending Them to the Recycle Bin and Deleting? (Windows 11)

🧺 How to Recover Files and Folders After Sending Them to the Recycle Bin and Deleting? (Windows 11)

By no means should you think that the only way to recover a ".PYC" file is always to create it once more.

Use programs for recovering ".PYC" files if a file was lost after accidental or deliberate deleting, formatting the memory card or the internal storage, cleaning the storage device, after a virus attack or a system failure.

Programs to recover ".PYC" files

Looking for a way to get files back? In cases when files were deleted and they cannot be restored by using standard operating system tools, use Hetman Partition Recovery.

The tool recovers data from any devices, regardless of the cause of data loss.

Follow the directions below:

  1. Download Hetman Partition Recovery, install and start the program.

  2. The program will automatically scan the computer and display all hard disks and removable drives connected to it, as well as physical and local disks.

    File Recovery Software
  3. Double-click on the disk from which you need to recover ".PYC" files, and select analysis type.

    Hetman Partition Recovery - Analysis Type
  4. When the scanning is over, you will be shown the files for recovery.

    Hetman Partition Recovery - Files that Can be Restored
  5. To find a file you need, use the program’s interface to open the folder it was deleted from, or go to the folder "Content-Aware Analysis" and select the required file type.

    Hetman Partition Recovery - Deep Scan
  6. Select the files you have been looking for and click "Recovery".

    File Recovery Software - Files List for Recovery
  7. Choose one of the methods for saving the files and recover them.

    Saving recovered files in Hetman Partition Recovery

How to open file with ".PYC" extension?

Looking for how to open a stereo python Compiled File image file file?

Programs that open ".PYC" files

Windows
Python Software Foundation Python Python Software Foundation Python
Mac
Python Software Foundation Python Python Software Foundation Python
Linux
Python Software Foundation Python Python Software Foundation Python

Additional Information

  • File type: Python Compiled File

  • File extension: .PYC

  • Developer: Python Software Foundation

  • Category: Executable Files

  • Format: N/A

  • HEX: 99 4E 0D 0A, 87 C6 0D 0A, 2A EB 0D 0A, 2D ED 0D 0A, 31 F2 0D 0A

  • ASCII: N, Ж, *л, -н, 1т

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Comments (1)

  • Hetman Software: Data Recovery
    Hetman Software: Data Recovery 18.12.2019 14:01 #
    Leave a comment if you have any questions about Recovering lost .PYC files after deleting, cleaning or formatting!
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Vladimir Artiukh

Author: Vladimir Artiukh, Technical Writer

Vladimir Artiukh is a technical writer for Hetman Software, as well as the voice and face of their English-speaking YouTube channel, Hetman Software: Data Recovery for Windows. He handles tutorials, how-tos, and detailed reviews on how the company’s tools work with all kinds of data storage devices.

Oleg Afonin

Editor: Oleg Afonin, Technical Writer

Oleg Afonin is an expert in mobile forensics, data recovery and computer systems. He often attends large data security conferences, and writes several blogs for such resources as xaker.ru, Elcomsoft and Habr. In addition to his online activities, Oleg’s articles are also published in professional magazines. Also, Oleg Afonin is the co-author of a well-known book, Mobile Forensics - Advanced Investigative Strategies.

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Questions and answers

  • What is a ".PYC backup" file and how does it differ from a regular Python file?

    A ".pyc backup" file is a compiled bytecode file created by the Python interpreter. When a Python script is executed, it is first compiled into bytecode, which is a lower-level representation of the code that can be executed by the interpreter. This bytecode is then saved in a .pyc file for future use.

    The main difference between a .pyc backup file and a regular Python file (with a .py extension) is that the .pyc file contains precompiled bytecode, while the .py file contains human-readable source code. The bytecode in the .pyc file is platform-independent and can be executed directly by the Python interpreter, resulting in faster startup times compared to interpreting the source code from the .py file.

    The Python interpreter checks the modification time of both the .py and .pyc files. If the .pyc file is older than the corresponding .py file, or if the .py file is missing, the interpreter will recompile the code and update the .pyc file. This ensures that the bytecode is always up to date with the source code.

    In summary, a .pyc backup file is a compiled bytecode version of a Python script, providing faster execution times compared to interpreting the source code directly from the .py file.

  • How can I create a ".PYC backup" file from a Python script?

    To create a `.pyc` backup file from a Python script, you need to run the script using the Python interpreter. When a Python script is executed, the interpreter automatically generates a `.pyc` file, which contains the compiled bytecode of the script. Here's how you can create a `.pyc` backup file:

    1. Open a command prompt or terminal.
    2. Navigate to the directory where your Python script is located using the `cd` command.
    3. Run the Python script using the command `python script.py`, replacing `script.py` with the name of your script.
    4. After running the script, a `.pyc` file will be created in the same directory as your script.

    Note: The `.pyc` file is automatically generated and updated by the Python interpreter whenever you run the script, so you don't need to explicitly create or manage it.

  • Are ".PYC backup" files necessary for running Python code, and how can I use them effectively in my development workflow?

    The ".pyc" files are not necessary for running Python code, but they can improve the performance of your program by saving the compiled bytecode of your Python modules.

    When you import a module, Python checks if there is a corresponding ".pyc" file. If it exists and is up-to-date with the ".py" file, Python will use the compiled bytecode instead of recompiling the source code. This can result in faster startup times for your program.

    To use ".pyc" files effectively in your development workflow, you can follow these steps:

    1. Enable the creation of ".pyc" files by setting the `PYTHONDONTWRITEBYTECODE` environment variable to `0`. By default, Python creates ".pyc" files unless this variable is set to a non-zero value.
    2. During development, you might want to disable the usage of ".pyc" files to ensure that any changes you make to the source code are immediately reflected. You can do this by setting the `PYTHONDONTWRITEBYTECODE` environment variable to `1`.
    3. When deploying your code to production, ensure that the ".pyc" files are generated for improved performance. You can achieve this by either not setting the `PYTHONDONTWRITEBYTECODE` variable or by setting it to `0`.
    4. If you want to remove all existing ".pyc" files, you can use the `pyclean` command-line utility provided by Python. Running `pyclean ` will recursively remove all ".pyc" files within the specified directory.

    By using ".pyc" files effectively, you can balance development convenience with improved runtime performance in your Python projects.

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