Release Notes

Version 0.6.1

• Support for bitwise operations

Version 0.6

• Python 2.6 support

• Programmable typing

  • Allow users to add type inference for external code

• Better NumPy type inference

  • outer, inner, dot, vdot, tensordot, nonzero, where, binary ufuncs + methods (reduce, accumulate, reduceat, outer)

• Type based alias analysis

  • Support for strict aliasing

• Much faster autojit dispatch when calling from Python

• Faster numerical loops through data and stride pre-loading

• Integral overflow and underflow checking for conversions from objects

• Make Meta dependency optional

Version 0.5

• SSA-based type inference

  • Allows variable reuse
  • Allow referring to variables before lexical definition

• Support multiple comparisons

• Support for template types

• List comprehensions

• Support for pointers

• Many bug fixes

• Added user documentation

Version 0.4

Version 0.3.2

• Add support for object arithmetic (issue 56).
• Bug fixes (issue 55).

Version 0.3

• Changed default compilation approach to ast
• Added support for cross-module linking
• Added support for closures (can jit inner functions and return them) (see examples/closure.py)
• Added support for dtype structures (can access elements of structure with attribute access) (see examples/structures.py)
• Added support for extension types (numba classes) (see examples/numbaclasses.py)
• Added support for general Python code (use nopython to raise an error if Python C-API is used to avoid unexpected slowness because of lack of implementation defaulting to generic Python)
• Fixed many bugs
• Added support to detect math operations.
• Added with python and with nopython contexts
• Added more examples

Many features need to be documented still. Look at examples and tests for more information.

Version 0.2

• Added an ast approach to compilation
• Removed d, f, i, b from numba namespace (use f8, f4, i4, b1)
• Changed function to autojit2
• Added autojit function to decorate calls to the function and use types of the variable to create compiled versions.
• changed keyword arguments to jit and autojit functions to restype and argtypes to be consistent with ctypes module.
• Added pycc – a python to shared library compiler