Convert Python to C for performance optimization. Perfect for creating C extensions, embedded systems programming, or optimizing performance-critical Python code.
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Converting Python to C provides massive performance improvements for compute-intensive operations. Our AI converter translates Python's high-level constructs to efficient C code, converting classes to structs, dynamic typing to static types, and automatic memory management to explicit allocation. Perfect for creating Python C extensions for bottlenecks, porting algorithms to embedded systems, optimizing scientific computing loops, or building performance-critical libraries. Note that Python-to-C conversion requires additional considerations like manual memory management, static typing, and handling of Python's dynamic features in a compiled language environment.
Converts Python classes to C structs with associated functions. Methods become functions taking struct pointers, attributes become struct fields, and object creation becomes malloc with initialization functions.
Adds explicit memory management. Python's automatic garbage collection converts to malloc/free calls. Object creation needs allocation, references need manual tracking, and cleanup requires explicit deallocation.
Infers static C types from Python code. Variables get explicit types (int, float, char*), function parameters and returns become typed, and dynamic typing converts to union types or void pointers where necessary.
Transforms Python lists to C arrays or linked lists, dicts to hash tables (manual implementation needed), and strings to char arrays with null terminators. Dynamic sizing requires realloc patterns.
Python classes convert to C structs with function pointers for methods. Object-oriented patterns become struct-based patterns with explicit passing of 'self' structs and function tables for polymorphism.
Python's automatic memory management converts to explicit malloc/free in C. The converter adds memory allocation for objects and deallocation calls where appropriate, requiring manual memory management review.
Standard Python operations convert to C equivalents - lists become arrays or linked lists, dicts require hash table implementations, and strings use char arrays. External libraries need C library equivalents or manual porting.
