Python is a high-level, general-purpose programming language designed for readability, simplicity, and developer productivity. Its clean syntax lets programmers focus on solving problems rather than wrestling with complex language rules. Python is widely used in web development, automation, data analysis, artificial intelligence, scientific computing, and software testing.

Is Python Interpreted or Compiled?

Python is often called an interpreted language, but this is only partly accurate. In reality, Python uses a hybrid approach that combines both compilation and interpretation.

When you run a Python program, the process happens in two stages:

  1. Compilation to Bytecode The Python interpreter automatically compiles your source code (.py files) into bytecode—a low-level, platform-independent representation of your program. This happens behind the scenes without any action from you. The bytecode may be stored in .pyc files inside the __pycache__ directory for faster execution next time.

  1. Interpretation by the Python Virtual Machine (PVM) The bytecode is then executed by the Python Virtual Machine, which interprets and runs the instructions at runtime. This is where your program's logic actually runs.

Why Python Is Considered an Interpreted Language

Python is commonly classified as an interpreted language because:

  • Programs are executed at runtime

  • There is no separate, user-visible compilation step

  • Errors are typically detected during execution, not beforehand

  • Source code can be run directly without creating a standalone executable

This contrasts with traditionally compiled languages like C or C++, where source code must be explicitly compiled into machine code before execution.

Interpreted vs. Compiled Languages

Interpreted languages prioritize flexibility and ease of development. Compiled languages emphasize performance and efficiency. Python's design favors rapid development, portability, and ease of learning—even though it may run slower than fully compiled languages.

Key Takeaways

  • Python source code is compiled into bytecode, then interpreted

  • The compilation step is automatic and invisible to you

  • Python's execution model combines simplicity with cross-platform portability

  • This hybrid approach makes Python beginner-friendly while remaining powerful for professional use

Understanding how Python executes code provides valuable insight into its strengths, limitations, and performance characteristics—topics explored further in later chapters.