Convert C++ code to Python instantly. Perfect for migrating legacy C++ applications, simplifying complex template code, or modernizing systems to Python's cleaner syntax.
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Converting C++ to Python eliminates manual memory management, complex template syntax, and lengthy compilation times while gaining Python's simplicity, readability, and rapid development cycle. Our AI converter automatically translates C++ classes to Python classes, STL containers to built-in Python collections, and templates to generic type hints. Whether modernizing legacy C++ codebases, porting algorithms for data science use, or replacing performance-critical C++ with Python + Cython for prototyping, the converter produces clean Python code. Perfect for teams moving from C++ monoliths to Python microservices, researchers sharing C++ algorithms as accessible Python libraries, or developers simplifying overly complex C++ template metaprogramming. Handles modern C++ features including smart pointers, move semantics, lambdas, and constexpr, transforming them into idiomatic Python patterns.
Converts std::vector to list, std::map to dict, std::set to set, std::pair to tuple, std::array to tuple/list, and std::queue/stack to collections.deque. Iterators become Python iteration protocols. STL algorithms map to list comprehensions and built-ins.
Transforms C++ template classes/functions to Python generics using typing.Generic, TypeVar, and type hints. Template specializations become function overloads or type-based dispatch. Complex template metaprogramming simplifies to straightforward Python code.
Eliminates new/delete, smart pointers (unique_ptr, shared_ptr), and manual memory management. Python's automatic garbage collection handles all memory. RAII patterns convert to context managers using with statements.
Maintains C++ class hierarchies in Python. Virtual functions become regular methods (Python has dynamic dispatch by default), multiple inheritance works directly, operator overloading maps to Python magic methods (__add__, __eq__, etc.).
C++ classes become Python classes with __init__ constructors. Public/private members use naming conventions (underscore prefix). Virtual functions and polymorphism work directly in Python without virtual keyword.
Pointers and references become Python object references. Pointer arithmetic is replaced with list indexing. Reference parameters convert to regular parameters (Python uses pass-by-object-reference by default).
C++ namespaces convert to Python modules or module-level organization. Using declarations become imports. Namespace aliases map to import-as statements.
C++ templates become Python generic functions or classes with type hints using typing.Generic and TypeVar. Template specializations convert to function overloads or if-else type checking. Most template metaprogramming simplifies significantly in Python's dynamic type system.
std::vector becomes list, std::map becomes dict, std::set becomes set, std::unordered_map becomes dict, and std::array becomes list or tuple. STL algorithms map to Python list comprehensions, built-in functions, or itertools/functools.
Smart pointers (unique_ptr, shared_ptr, weak_ptr) are removed since Python has automatic garbage collection. The converter ensures objects are properly referenced and Python's reference counting handles memory management automatically.
Simplify your C++ code with Python's cleaner syntax and ecosystem.
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