How to create a .pyc File in Python?

In Python, .pyc files are the bytecode files that are made for the compilation of the Python program, and they are made by the Python interpreter when the Python program is executed by the interpreter. The .pyc file in Python consists of a compiled bytecode that can be run directly by the interpreter, and recompilation is not needed for the source code every time the script is run. These .pyc files in Python result in faster execution of the Python program, especially when large program files or modules are to be run. Python interpreter creates the .pyc files when the .py file is imported. This file consists of the compiled bytecode of the imported module/program so that the source code to bytecode can easily be translated and can be skipped on subsequent imports if the .pyc is newer than the corresponding .py file.

Points About .pyc Files

  1. Python generates .pyc files automatically with the help of a Python interpreter when the program is run.
  2. The .pyc files are saved in the same directory where the .py files are located and contain the same name as .py files, except with .pyc extension instead of .py file.
  3. The .pyc files are version-specific and use the version of Python that they generated. An error is raised when someone tries to access the .pyc file with a different version of Python.

How .pyc Files are Generated:

The .pyc files are generated by two files, one containing some function that should be called in the second function. Let's see a code for how to generate a .pyc file in Python.

Code:

Explanation:

The above Python code has two functions: sum and subtract, which add and subtract two numbers. This function is called into another Python file.

Code:

Output:

6,6

Explanation:

In the main.py file, the module file is imported, and the addition and subtract function is called to add and subtract the two numbers. When the main.py file is executed, a module.pyc file is generated by Python.

Conclusion:

In Python, .pyc files the import feature of Python, which is used to improve the performance of the Python program and modules. The Python code can be optimized to confirm whether the Python program runs efficiently in the system or not.