Python++ is a programming language identical to Python in syntax and semantics, but compiled ahead-of-time to native code for significant performance improvements.

• 100% Python Syntax Compatibility: Write standard Python code
• Ahead-of-Time Compilation: Compile to native machine code
• Gradual Typing: Optional static types with powerful inference
• LLVM Backend: Leverage LLVM optimizations
• Ecosystem Compatibility: Use existing Python packages
• Zero-Runtime Overhead: Fast startup and execution

• CMake 3.16+
• C++20 compatible compiler
• LLVM 15+
• Git

git clone <repository-url>
cd python-plus-plus
mkdir build && cd build
cmake ..
make -j$(nproc)

Download the latest Windows binary release from the Releases page.

1. Extract the ZIP archive to a directory of your choice
2. Right-click on setup.bat and select "Run as administrator"
3. The setup will automatically:
   • Add Python++ to your system PATH
   • Associate .py+ files with the p++ runner
4. Restart your terminal for changes to take effect

After installation, you can:

• Run Python++ scripts from the command line: p++ script.py+
• Double-click .py+ files to execute them directly!

Alternative: You can also manually configure file associations using:

p++ --install

(Must be run from an Administrator command prompt)

See Building section below.

# Run a Python++ script directly
p++ hello.py+
p++ script.py

# Pass arguments to your script
p++ myprogram.py+ arg1 arg2

# Compile a Python file
py++c hello.py -o hello
py++c hello.py+ -o hello

# Run with optimizations
py++c --optimize=3 compute.py -o compute

# Debug build
py++c --debug script.py -o script

Python++ supports both .py and .py+ file extensions:

• .py - Compatible with standard Python files
• .py+ - Recommended for Python++ specific files

# hello.py+
def greet(name):
    return f"Hello, {name}!"

print(greet("World"))

p++ hello.py+  # Compiles and runs immediately

# fibonacci.py+
def fibonacci(n):
    if n <= 1:
        return n
    return fibonacci(n-1) + fibonacci(n-2)

print(fibonacci(10))

py++c fibonacci.py+ -o fibonacci
./fibonacci  # Outputs: 55

Typical performance improvements over CPython:

• 2-5x for numerical computations
• 3-10x for algorithmic code
• 10-50x startup time improvement

MIT License