PyPy vs Python: What are the differences?

Key Differences between PyPy and Python

PyPy and Python are both high-level programming languages with some important differences that are worth highlighting.

1. Execution Speed: PyPy is generally faster than traditional Python because it uses a Just-in-Time (JIT) compiler, whereas Python uses an interpreter. The JIT compiler dynamically analyzes and optimizes the code at runtime, leading to faster execution times.

2. Memory Usage: PyPy consumes less memory compared to Python. This is due to the efficient garbage collection algorithm implemented in PyPy, which reduces the memory footprint of the application.

3. Compatibility: Python has a wide range of libraries and frameworks that are commonly used by developers, while PyPy may not have the same level of compatibility with all of them. Some Python libraries might not work or have limited support in PyPy. Therefore, before using PyPy, compatibility with specific libraries must be verified.

4. Startup Time: PyPy has a slower startup time compared to Python. This is because PyPy's JIT compiler performs additional optimizations during startup, leading to a longer initialization time.

5. C Extensions: PyPy supports C extensions, but it requires additional work to port existing C extensions to be compatible with PyPy. Python has better support for C extensions out of the box.

6. Debugging: Debugging can be more challenging in PyPy compared to Python. The optimizations performed by the JIT compiler can make it difficult to trace and debug issues in the code.

In summary, PyPy offers faster execution speed, reduced memory usage, and compatibility with C extensions. However, it may have limited compatibility with certain Python libraries, slower startup time, and more challenging debugging.