OUTDATED DOCUMENTATION

You are viewing archived documentation from the old Numba documentation site. The current documentation is located at https://numba.readthedocs.io.

Reference Manual

• Types and signatures
  • Rationale
  • Signatures
  • Basic types
    • Numbers
    • Arrays
    • Functions
      • Wrapper Address Protocol - WAP
    • Miscellaneous Types
  • Advanced types
    • Inference
    • Numpy scalars
    • Arrays
    • Optional types
• Just-in-Time compilation
  • JIT functions
  • Generated JIT functions
  • Dispatcher objects
  • Vectorized functions (ufuncs and DUFuncs)
  • C callbacks
• Ahead-of-Time compilation
• Utilities
  • Dealing with pointers
• Environment variables
  • Jit flags
  • Debugging
  • Compilation options
  • Caching options
  • GPU support
  • Threading Control
• Supported Python features
  • Language
    • Constructs
    • Functions
      • Function calls
      • Functions as arguments
      • Inner function and closure
      • Recursive calls
    • Generators
    • Exception handling
      • raise statement
      • try .. except
      • try .. except .. else .. finally
  • Built-in types
    • int, bool
    • float, complex
    • str
    • tuple
    • homogeneous tuples
    • heterogeneous tuples
    • list
      • List Reflection
      • Initial Values
      • Typed List
      • Literal List
      • List comprehension
    • set
    • Typed Dict
      • Initial Values
    • Heterogeneous Literal String Key Dictionary
    • None
    • bytes, bytearray, memoryview
  • Built-in functions
    • Hashing
  • Standard library modules
    • array
    • cmath
    • collections
    • ctypes
    • enum
    • math
    • operator
    • functools
    • random
    • heapq
  • Third-party modules
    • cffi
• Supported NumPy features
  • Scalar types
  • Array types
    • Array access
    • Attributes
      • The flags object
      • The flat object
      • The real and imag attributes
    • Calculation
    • Other methods
  • Functions
    • Linear algebra
    • Reductions
    • Other functions
    • Literal arrays
  • Modules
    • random
      • Initialization
      • Simple random data
      • Permutations
      • Distributions
    • stride_tricks
  • Standard ufuncs
    • Limitations
    • Math operations
    • Trigonometric functions
    • Bit-twiddling functions
    • Comparison functions
    • Floating functions
    • Datetime functions
• Deviations from Python Semantics
  • Bounds Checking
  • Exceptions and Memory Allocation
  • Integer width
  • Boolean inversion
  • Global and closure variables
• Floating-point pitfalls
  • Precision and accuracy
    • Math library implementations
    • Linear algebra
    • Mixed-types operations
  • Warnings and errors
• Deprecation Notices
  • Suppressing Deprecation warnings
  • Deprecation of reflection for List and Set types
    • Reason for deprecation
    • Example(s) of the impact
    • Schedule
    • Recommendations
    • Expected Replacement
  • Deprecation of object mode fall-back behaviour when using @jit
    • Reason for deprecation
    • Example(s) of the impact
    • Schedule
    • Recommendations
  • Deprecation of the target kwarg
    • Recommendations
    • Schedule