Welcome to mypyc documentation!

Mypyc compiles Python modules to C extensions. It uses standard Python type hints to generate fast code.

First steps

• Introduction
  • Why mypyc?
  • Use cases
  • Differences from Cython
  • How does it work
  • Development status
• Getting started
  • Prerequisites
  • Installation
  • Example program
  • Compiling and running
  • Deleting compiled binary
  • Using setup.py
  • Recommended workflow
  • Next steps

Using mypyc

• Using type annotations
  • Primitive types
  • Primitive containers
  • Native classes
  • Tuple types
  • Union types
  • Trait types
  • Erased types
  • Strict runtime type checking
  • Value and heap types
  • Native integer types
• Native classes
  • Immutable namespaces
  • Inheritance
  • Class variables
  • Generic native classes
  • Metaclasses
  • Class decorators
  • Deleting attributes
  • Other properties
• Differences from Python
  • Running compiled modules
  • Type errors prevent compilation
  • Runtime type checking
  • Native classes
  • Primitive types
  • Early binding
  • Pickling and copying objects
  • Monkey patching
  • Stack overflows
  • Final values
  • Unsupported features
• Compilation units

Native operations reference

• Miscellaneous native operations
  • Operators
  • Functions
  • Method decorators
  • Statements
• Native integer operations
  • Construction
  • Implicit conversions
  • Operators
  • Statements
• Native boolean operations
  • Construction
  • Operators
  • Functions
• Native float operations
  • Construction
  • Operators
  • Functions
• Native string operations
  • Construction
  • Operators
  • Methods
• Native list operations
  • Construction
  • Operators
  • Statements
  • Methods
  • Functions
• Native dict operations
  • Construction
  • Operators
  • Statements
  • Methods
  • Functions
• Native set operations
  • Construction
  • Operators
  • Methods
  • Functions
• Native tuple operations
  • Construction
  • Operators
  • Statements
  • Functions

Advanced topics

• Performance tips and tricks
  • Profiling
  • Avoiding slow libraries
  • Type annotations
  • Avoiding slow Python features
  • Using fast native features
  • Adjusting garbage collection
  • Fast interpreter shutdown
  • Work smarter

Indices and tables

• Index

• Module Index

• Search Page